diff --git a/.github/actions/setup-python-env/action.yml b/.github/actions/setup-python-env/action.yml new file mode 100644 index 0000000..78a9516 --- /dev/null +++ b/.github/actions/setup-python-env/action.yml @@ -0,0 +1,27 @@ +name: "Setup Python Environment" +description: "Set up Python environment for the given Python version" + +inputs: + python-version: + description: "Python version for setup-python" + required: true + default: "3.10" + +runs: + using: "composite" + steps: + - uses: actions/setup-python@v5 + with: + python-version: ${{ inputs.python-version }} + + - name: Install uv + run: pipx install uv + env: + UV_VERSION: "0.4.10" + shell: bash + + - name: Install Python dependencies + # This will install eo-tides and all required dependencies specified in + # uv.lock. To install optional dependencies, include --all-extras + run: uv sync --frozen --all-extras + shell: bash diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml new file mode 100644 index 0000000..aecd6a9 --- /dev/null +++ b/.github/workflows/main.yml @@ -0,0 +1,80 @@ +name: Main + +on: + push: + branches: + - main + pull_request: + types: [opened, synchronize, reopened, ready_for_review] + +jobs: + quality: + runs-on: ubuntu-latest + steps: + - name: Check out + uses: actions/checkout@v4 + + - uses: actions/cache@v4 + with: + path: ~/.cache/pre-commit + key: pre-commit-${{ hashFiles('.pre-commit-config.yaml') }} + + - name: Set up the environment + uses: ./.github/actions/setup-python-env + + - name: Run checks + run: make check + + run-tests: + runs-on: ubuntu-latest + strategy: + matrix: + python-version: ["3.9", "3.10", "3.11", "3.12"] + fail-fast: false + max-parallel: 5 + defaults: + run: + shell: bash + steps: + - name: Check out + uses: actions/checkout@v4 + + - name: Extract model data + run: | + # Extract tide modelling test files + tar -xvzf ./tests/data/tide_models_tests.tar.gz -C ./tests/data + + # Add environment variable to allow functions to locate data + echo "DEA_TOOLS_TIDE_MODELS=./tests/data/tide_models_tests" >> $GITHUB_ENV + + - name: Set up the environment + uses: ./.github/actions/setup-python-env + with: + python-version: ${{ matrix.python-version }} + + - name: Run Python unit tests + run: uv run python -m pytest tests --cov --cov-config=pyproject.toml --cov-report=xml --verbose + + - name: Run Jupyter Notebook integration tests + run: uv run python -m pytest --nbval-lax docs/notebooks/Model_tides.ipynb + + - name: Check typing + run: uv run mypy + + - name: Upload coverage reports to Codecov with GitHub Action on Python 3.10 + uses: codecov/codecov-action@v4 + if: ${{ matrix.python-version == '3.10' }} + env: + CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} + + check-docs: + runs-on: ubuntu-latest + steps: + - name: Check out + uses: actions/checkout@v4 + + - name: Set up the environment + uses: ./.github/actions/setup-python-env + + - name: Check if documentation can be built + run: uv run mkdocs build -s diff --git a/.github/workflows/on-release-main.yml b/.github/workflows/on-release-main.yml new file mode 100644 index 0000000..c2e0735 --- /dev/null +++ b/.github/workflows/on-release-main.yml @@ -0,0 +1,67 @@ +name: release-main + +on: + release: + types: [published] + branches: [main] + +jobs: + set-version: + runs-on: ubuntu-24.04 + steps: + - uses: actions/checkout@v4 + + - name: Export tag + id: vars + run: echo tag=${GITHUB_REF#refs/*/} >> $GITHUB_OUTPUT + if: ${{ github.event_name == 'release' }} + + - name: Update project version + run: | + sed -i "s/^version = \".*\"/version = \"$RELEASE_VERSION\"/" pyproject.toml + env: + RELEASE_VERSION: ${{ steps.vars.outputs.tag }} + if: ${{ github.event_name == 'release' }} + + - name: Upload updated pyproject.toml + uses: actions/upload-artifact@v4 + with: + name: pyproject-toml + path: pyproject.toml + + publish: + runs-on: ubuntu-latest + needs: [set-version] + steps: + - name: Check out + uses: actions/checkout@v4 + + - name: Set up the environment + uses: ./.github/actions/setup-python-env + + - name: Download updated pyproject.toml + uses: actions/download-artifact@v4 + with: + name: pyproject-toml + + - name: Build package + run: uvx --from build pyproject-build --installer uv + + # - name: Publish package + # run: uvx twine upload dist/* + # env: + # TWINE_USERNAME: __token__ + # TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }} + + deploy-docs: + needs: publish + runs-on: ubuntu-latest + steps: + - name: Check out + uses: actions/checkout@v4 + + - name: Set up the environment + uses: ./.github/actions/setup-python-env + + - name: Deploy documentation + run: uv run mkdocs gh-deploy --force diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 0000000..2c93a10 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,122 @@ +# Contributing to `eo-tides` + +Contributions are welcome, and they are greatly appreciated! +Every little bit helps, and credit will always be given. + +You can contribute in many ways: + +# Types of Contributions + +## Report Bugs + +Report bugs at https://github.com/GeoscienceAustralia/eo-tides/issues + +If you are reporting a bug, please include: + +- Your operating system name and version. +- Any details about your local setup that might be helpful in troubleshooting. +- Detailed steps to reproduce the bug. + +## Fix Bugs + +Look through the GitHub issues for bugs. +Anything tagged with "bug" and "help wanted" is open to whoever wants to implement a fix for it. + +## Implement Features + +Look through the GitHub issues for features. +Anything tagged with "enhancement" and "help wanted" is open to whoever wants to implement it. + +## Submit Feedback + +The best way to send feedback is to file an issue at https://github.com/GeoscienceAustralia/eo-tides/issues. + +If you are proposing a new feature: + +- Explain in detail how it would work. +- Keep the scope as narrow as possible, to make it easier to implement. +- Remember that this is a volunteer-driven project, and that contributions + are welcome :) + +# Get Started! + +Ready to contribute? Here's how to set up `eo-tides` for local development. +Please note this documentation assumes you already have `uv` and `Git` installed and ready to go. + +1. Fork the `eo-tides` repo on GitHub. + +2. Clone your fork locally: + +```bash +cd +git clone git@github.com:YOUR_NAME/eo-tides.git +``` + +3. Now we need to install the environment. Navigate into the directory + +```bash +cd eo-tides +``` + +Then, install and activate the environment with: + +```bash +uv sync +``` + +4. Install pre-commit to run linters/formatters at commit time: + +```bash +uv run pre-commit install +``` + +5. Create a branch for local development: + +```bash +git checkout -b name-of-your-bugfix-or-feature +``` + +Now you can make your changes locally. + +6. Don't forget to add test cases for your added functionality to the `tests` directory. + +7. When you're done making changes, check that your changes pass the formatting tests. + +```bash +make check +``` + +Now, validate that all unit tests are passing: + +```bash +make test +``` + +9. Before raising a pull request you can also run tox to + run the tests across different versions of Python: + +```bash +tox +``` + +This requires you to have multiple versions of python installed. +This step is also triggered in the CI/CD pipeline, so you could also choose to skip this step locally. + +10. Commit your changes and push your branch to GitHub: + +```bash +git add . +git commit -m "Your detailed description of your changes." +git push origin name-of-your-bugfix-or-feature +``` + +11. Submit a pull request through the GitHub website. + +# Pull Request Guidelines + +Before you submit a pull request, check that it meets these guidelines: + +1. The pull request should ideally include tests. + +2. If the pull request adds functionality, the docs should be updated. + Put your new functionality into a function with a docstring, and add the feature to the list in `README.md`. diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..00ee3db --- /dev/null +++ b/Dockerfile @@ -0,0 +1,21 @@ +# Install uv +FROM python:3.12-slim +COPY --from=ghcr.io/astral-sh/uv:latest /uv /bin/uv + +# Change the working directory to the `app` directory +WORKDIR /app + +# Copy the lockfile and `pyproject.toml` into the image +ADD uv.lock /app/uv.lock +ADD pyproject.toml /app/pyproject.toml + +# Install dependencies +RUN uv sync --frozen --no-install-project + +# Copy the project into the image +ADD . /app + +# Sync the project +RUN uv sync --frozen + +CMD [ "python", "eo_tides/foo.py"] diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..261eeb9 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..0be5f58 --- /dev/null +++ b/Makefile @@ -0,0 +1,58 @@ +# This will install eo-tides and all required dependencies specified in +# `uv.lock`. To install optional dependencies, run `uv sync --all-extras` +.PHONY: install +install: ## Install the virtual environment and install the pre-commit hooks + @echo "🚀 Creating virtual environment using uv" + @uv sync --all-extras + @uv run pre-commit install + +.PHONY: check +check: ## Run code quality tools. + @echo "🚀 Checking lock file consistency with 'pyproject.toml'" + @uv sync --locked + @echo "🚀 Linting code: Running pre-commit" + @uv run pre-commit run -a + @echo "🚀 Static type checking: Running mypy" + @uv run mypy + @echo "🚀 Checking for obsolete dependencies: Running deptry" + @uv run deptry . docs/notebooks/ + +.PHONY: test +test: ## Test the code with pytest + @echo "🚀 Testing code: Running pytest" + @tar -xvzf ./tests/data/tide_models_tests.tar.gz -C ./tests/data + @export DEA_TOOLS_TIDE_MODELS=./tests/data/tide_models_tests && \ + uv run python -m pytest --cov --cov-config=pyproject.toml --cov-report=xml + +.PHONY: build +build: clean-build ## Build wheel file + @echo "🚀 Creating wheel file" + @uvx --from build pyproject-build --installer uv + +.PHONY: clean-build +clean-build: ## clean build artifacts + @rm -rf dist + +.PHONY: publish +publish: ## Publish a release to PyPI. + @echo "🚀 Publishing: Dry run." + @uvx --from build pyproject-build --installer uv + @echo "🚀 Publishing." + @uvx twine upload --repository-url https://upload.pypi.org/legacy/ dist/* + +.PHONY: build-and-publish +build-and-publish: build publish ## Build and publish. + +.PHONY: docs-test +docs-test: ## Test if documentation can be built without warnings or errors + @uv run mkdocs build -s + +.PHONY: docs +docs: ## Build and serve the documentation + @uv run mkdocs serve + +.PHONY: help +help: + @grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-20s\033[0m %s\n", $$1, $$2}' + +.DEFAULT_GOAL := help diff --git a/README.md b/README.md new file mode 100644 index 0000000..677870f --- /dev/null +++ b/README.md @@ -0,0 +1,74 @@ +# eo-tides + +[![Release](https://img.shields.io/github/v/release/robbibt/eo-tides)](https://img.shields.io/github/v/release/robbibt/eo-tides) +[![Build status](https://img.shields.io/github/actions/workflow/status/robbibt/eo-tides/main.yml?branch=main)](https://github.com/robbibt/eo-tides/actions/workflows/main.yml?query=branch%3Amain) +[![codecov](https://codecov.io/gh/robbibt/eo-tides/branch/main/graph/badge.svg)](https://codecov.io/gh/robbibt/eo-tides) +[![Commit activity](https://img.shields.io/github/commit-activity/m/robbibt/eo-tides)](https://img.shields.io/github/commit-activity/m/robbibt/eo-tides) +[![License](https://img.shields.io/github/license/robbibt/eo-tides)](https://img.shields.io/github/license/robbibt/eo-tides) + +This is placeholder text. + +- **Github repository**: +- **Documentation** + +## Getting started with your project + +### 1. Create a New Repository + +First, create a repository on GitHub with the same name as this project, and then run the following commands: + +```bash +git init -b main +git add . +git commit -m "init commit" +git remote add origin git@github.com:robbibt/eo-tides.git +git push -u origin main +``` + +### 2. Set Up Your Development Environment + +Then, install the environment and the pre-commit hooks with + +```bash +make install +``` + +This will also generate your `uv.lock` file + +### 3. Run the pre-commit hooks + +Initially, the CI/CD pipeline might be failing due to formatting issues. To resolve those run: + +```bash +uv run pre-commit run -a +``` + +### 4. Commit the changes + +Lastly, commit the changes made by the two steps above to your repository. + +```bash +git add . +git commit -m 'Fix formatting issues' +git push origin main +``` + +You are now ready to start development on your project! +The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release. + +To finalize the set-up for publishing to PyPI, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/publishing/#set-up-for-pypi). +For activating the automatic documentation with MkDocs, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/mkdocs/#enabling-the-documentation-on-github). +To enable the code coverage reports, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/codecov/). + +## Releasing a new version + +- Create an API Token on [PyPI](https://pypi.org/). +- Add the API Token to your projects secrets with the name `PYPI_TOKEN` by visiting [this page](https://github.com/robbibt/eo-tides/settings/secrets/actions/new). +- Create a [new release](https://github.com/robbibt/eo-tides/releases/new) on Github. +- Create a new tag in the form `*.*.*`. + +For more details, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/cicd/#how-to-trigger-a-release). + +--- + +Repository initiated with [fpgmaas/cookiecutter-uv](https://github.com/fpgmaas/cookiecutter-uv). diff --git a/codecov.yaml b/codecov.yaml new file mode 100644 index 0000000..54d6d67 --- /dev/null +++ b/codecov.yaml @@ -0,0 +1,9 @@ +coverage: + range: 70..100 + round: down + precision: 1 + status: + project: + default: + target: 80% + threshold: 0.5% diff --git a/docs/api.md b/docs/api.md new file mode 100644 index 0000000..8b697cc --- /dev/null +++ b/docs/api.md @@ -0,0 +1,4 @@ +::: eo_tides.model +::: eo_tides.stats +::: eo_tides.validation +::: eo_tides.utils diff --git a/docs/index.md b/docs/index.md new file mode 100644 index 0000000..d773bb4 --- /dev/null +++ b/docs/index.md @@ -0,0 +1,8 @@ +# eo-tides + +[![Release](https://img.shields.io/github/v/release/robbibt/eo-tides)](https://img.shields.io/github/v/release/robbibt/eo-tides) +[![Build status](https://img.shields.io/github/actions/workflow/status/robbibt/eo-tides/main.yml?branch=main)](https://github.com/robbibt/eo-tides/actions/workflows/main.yml?query=branch%3Amain) +[![Commit activity](https://img.shields.io/github/commit-activity/m/robbibt/eo-tides)](https://img.shields.io/github/commit-activity/m/robbibt/eo-tides) +[![License](https://img.shields.io/github/license/robbibt/eo-tides)](https://img.shields.io/github/license/robbibt/eo-tides) + +Placeholder diff --git a/docs/install.md b/docs/install.md new file mode 100644 index 0000000..e69de29 diff --git a/docs/notebooks/Model_tides.ipynb b/docs/notebooks/Model_tides.ipynb new file mode 100644 index 0000000..c663fc5 --- /dev/null +++ b/docs/notebooks/Model_tides.ipynb @@ -0,0 +1,656 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from eo_tides.model import model_tides, pixel_tides\n", + "from eo_tides.validation import eval_metrics, load_gauge_gesla\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "%load_ext autoreload\n", + "%autoreload 2\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Model tides using `model_tides`" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Modelling tides using FES2014\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "modelled_df = model_tides(\n", + " x=122.2186, \n", + " y=-18.0008, \n", + " time=pd.date_range(\"2018-01-01\", \"2018-01-20\", freq=\"1h\"), \n", + " directory=\"../../tests/data/tide_models_tests\"\n", + ")\n", + "\n", + "# Plot\n", + "modelled_df.reset_index([\"x\", \"y\"]).tide_m.plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Validation against GESLA tide gauges" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/workspaces/eo-tides/.venv/lib/python3.10/site-packages/geopandas/array.py:403: UserWarning: Geometry is in a geographic CRS. Results from 'sjoin_nearest' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " warnings.warn(\n", + "/workspaces/eo-tides/eo_tides/validation.py:157: FutureWarning: Support for nested sequences for 'parse_dates' in pd.read_csv is deprecated. Combine the desired columns with pd.to_datetime after parsing instead.\n", + " pd.read_csv(\n" + ] + }, + { + "data": { + "text/html": [ + "
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sea_levelqc_flaguse_flagfile_namesite_namecountrycontributor_abbreviatedcontributor_fullcontributor_websitecontributor_contact...start_date_timeend_date_timenumber_of_yearstime_zone_hoursdatum_informationinstrumentprecisionnull_valuegauge_typeoverall_record_quality
site_codetime
626502018-01-01 00:00:001.20422711../../tests/data/broome-62650-aus-bomBroomeAUSBOMBureau of Meteorologyhttp://www.bom.gov.au/oceanography/projects/nt...tides@bom.gov.au...2/07/1966 0:0031/12/2019 23:00510Chart Datum / Lowest Astronomical TideUnspecifiedUnspecified-99.9999CoastalNo obvious issues
2018-01-01 01:00:002.30722711../../tests/data/broome-62650-aus-bomBroomeAUSBOMBureau of Meteorologyhttp://www.bom.gov.au/oceanography/projects/nt...tides@bom.gov.au...2/07/1966 0:0031/12/2019 23:00510Chart Datum / Lowest Astronomical TideUnspecifiedUnspecified-99.9999CoastalNo obvious issues
2018-01-01 02:00:002.70822711../../tests/data/broome-62650-aus-bomBroomeAUSBOMBureau of Meteorologyhttp://www.bom.gov.au/oceanography/projects/nt...tides@bom.gov.au...2/07/1966 0:0031/12/2019 23:00510Chart Datum / Lowest Astronomical TideUnspecifiedUnspecified-99.9999CoastalNo obvious issues
2018-01-01 03:00:002.13322711../../tests/data/broome-62650-aus-bomBroomeAUSBOMBureau of Meteorologyhttp://www.bom.gov.au/oceanography/projects/nt...tides@bom.gov.au...2/07/1966 0:0031/12/2019 23:00510Chart Datum / Lowest Astronomical TideUnspecifiedUnspecified-99.9999CoastalNo obvious issues
2018-01-01 04:00:001.04522711../../tests/data/broome-62650-aus-bomBroomeAUSBOMBureau of Meteorologyhttp://www.bom.gov.au/oceanography/projects/nt...tides@bom.gov.au...2/07/1966 0:0031/12/2019 23:00510Chart Datum / Lowest Astronomical TideUnspecifiedUnspecified-99.9999CoastalNo obvious issues
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0:00 \n", + " 2018-01-01 02:00:00 tides@bom.gov.au ... 2/07/1966 0:00 \n", + " 2018-01-01 03:00:00 tides@bom.gov.au ... 2/07/1966 0:00 \n", + " 2018-01-01 04:00:00 tides@bom.gov.au ... 2/07/1966 0:00 \n", + "\n", + " end_date_time number_of_years \\\n", + "site_code time \n", + "62650 2018-01-01 00:00:00 31/12/2019 23:00 51 \n", + " 2018-01-01 01:00:00 31/12/2019 23:00 51 \n", + " 2018-01-01 02:00:00 31/12/2019 23:00 51 \n", + " 2018-01-01 03:00:00 31/12/2019 23:00 51 \n", + " 2018-01-01 04:00:00 31/12/2019 23:00 51 \n", + "\n", + " time_zone_hours \\\n", + "site_code time \n", + "62650 2018-01-01 00:00:00 0 \n", + " 2018-01-01 01:00:00 0 \n", + " 2018-01-01 02:00:00 0 \n", + " 2018-01-01 03:00:00 0 \n", + " 2018-01-01 04:00:00 0 \n", + "\n", + " datum_information \\\n", + "site_code time \n", + "62650 2018-01-01 00:00:00 Chart Datum / Lowest Astronomical Tide \n", + " 2018-01-01 01:00:00 Chart Datum / Lowest Astronomical Tide \n", + " 2018-01-01 02:00:00 Chart Datum / Lowest Astronomical Tide \n", + " 2018-01-01 03:00:00 Chart Datum / Lowest Astronomical Tide \n", + " 2018-01-01 04:00:00 Chart Datum / Lowest Astronomical Tide \n", + "\n", + " instrument precision null_value \\\n", + "site_code time \n", + "62650 2018-01-01 00:00:00 Unspecified Unspecified -99.9999 \n", + " 2018-01-01 01:00:00 Unspecified Unspecified -99.9999 \n", + " 2018-01-01 02:00:00 Unspecified Unspecified -99.9999 \n", + " 2018-01-01 03:00:00 Unspecified Unspecified -99.9999 \n", + " 2018-01-01 04:00:00 Unspecified Unspecified -99.9999 \n", + "\n", + " gauge_type overall_record_quality \n", + "site_code time \n", + "62650 2018-01-01 00:00:00 Coastal No obvious issues \n", + " 2018-01-01 01:00:00 Coastal No obvious issues \n", + " 2018-01-01 02:00:00 Coastal No obvious issues \n", + " 2018-01-01 03:00:00 Coastal No obvious issues \n", + " 2018-01-01 04:00:00 Coastal No obvious issues \n", + "\n", + "[5 rows x 26 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Load gauge data, subtracting to observed mean sea level\n", + "gauge_df = load_gauge_gesla(\n", + " x=122.3186,\n", + " y=-18.0008,\n", + " time=(\"2018-01-01\", \"2018-01-20\"),\n", + " correct_mean=True,\n", + " data_path=\"../../tests/data/\",\n", + " metadata_path=\"../../tests/data/GESLA3_ALL 2.csv\"\n", + ")\n", + "gauge_df.head()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Correlation 0.998\n", + "RMSE 0.144\n", + "MAE 0.113\n", + "R-squared 0.995\n", + "Bias 0.004\n", + "Regression slope 0.986\n", + "dtype: float64" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Combine modelled and observed gauge data and compare\n", + "joined_df = gauge_df.join(modelled_df)\n", + "joined_df.plot.scatter(x=\"sea_level\", y=\"tide_m\")\n", + "eval_metrics(x=joined_df.sea_level, y=joined_df.tide_m)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Combining satellite data with tides using `pixel_tides`\n", + "\n", + "### Load satellite data using STAC" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import odc.stac\n", + "import pystac_client\n", + "\n", + "# Connect to stac catalogue\n", + "catalog = pystac_client.Client.open(\"https://explorer.dea.ga.gov.au/stac\")\n", + "\n", + "# Set cloud defaults\n", + "odc.stac.configure_rio(\n", + " cloud_defaults=True,\n", + " aws={\"aws_unsigned\": True},\n", + ")\n", + "\n", + "# Build a query with the parameters above\n", + "bbox = [122.2186 - 0.03, -18.0008 - 0.03, 122.2186 + 0.03, -18.0008 + 0.03]\n", + "query = catalog.search(\n", + " bbox=bbox,\n", + " collections=[\"ga_ls8c_ard_3\"],\n", + " datetime=\"2018-01-01/2018-01-31\",\n", + ")\n", + "\n", + "# Search the STAC catalog for all items matching the query\n", + "ds = odc.stac.load(\n", + " list(query.items()),\n", + " bands=[\"nbart_red\", \"nbart_green\", \"nbart_blue\"],\n", + " crs=\"utm\",\n", + " resolution=30,\n", + " groupby=\"solar_day\",\n", + " bbox=bbox,\n", + " fail_on_error=False,\n", + " chunks={},\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/workspaces/eo-tides/.venv/lib/python3.10/site-packages/rasterio/warp.py:344: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " _reproject(\n" + ] + }, + { + "data": { + "text/html": [ + "
Make this Notebook Trusted to load map: File -> Trust Notebook
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds.isel(time=0).odc.explore(vmin=0, vmax=2000)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.0" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/notebooks/Tidal_modelling.ipynb b/docs/notebooks/Tidal_modelling.ipynb new file mode 100644 index 0000000..09f09f8 --- /dev/null +++ b/docs/notebooks/Tidal_modelling.ipynb @@ -0,0 +1,5924 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Combining satellite data with tidal modelling\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Background\n", + "\n", + "Ocean tides are the periodic rise and fall of the ocean caused by the gravitational pull of the moon and sun and the earth's rotation. \n", + "Tides in coastal areas can greatly influence how these environments appear in satellite imagery as water levels vary by up to 12 metres (e.g. in north-western Australia).\n", + "To be able to study coastal environments and processes along Australia's coastline, it is vital to obtain data on tidal conditions at the exact moment each satellite image was acquired.\n", + "\n", + "## Description\n", + "This notebook demonstrates how to combine remotely sensed imagery with information about ocean tides using functions from the [`dea_tools.coastal` module](../Tools/dea_tools/coastal.py), allowing us to analyse satellite imagery by tidal stage (e.g. low, high, ebb, flow). \n", + "These functions use the [Finite Element Solution 2014 (FES2014) tidal model](https://os.copernicus.org/articles/17/615/2021/) to calculate the height (relative to mean sea level, i.e. approximately equivalent to the Australian Height Datum or AHD) and stage of the tide at the exact moment each satellite image was acquired. \n", + "\n", + "These tide modelling tools and tide models underpin DEA products including [DEA Coastlines](../DEA_products/DEA_Coastlines.ipynb) and [DEA Intertidal](../DEA_products/DEA_Intertidal.ipynb).\n", + "\n", + "The notebook demonstrates how to:\n", + "\n", + "1. Model tide heights for specific coordinates and times using the `model_tides` function\n", + "2. Model tide heights for each satellite observation using the `tidal_tag` function\n", + "3. Use tide height data to produce median composites of the coast at low and high tide\n", + "4. Swap a dataset's dimensions to make it easier to select imagery from low to high tide.\n", + "5. Compute ebb or flow tide phase data to determine whether water levels were rising or falling in each satellite observation\n", + "\n", + "Advanced tools:\n", + "\n", + "6. Spatially model tides into each pixel of a satellite dataset using `pixel_tides`\n", + "7. Evaluate potential biases in the tides observed by a satellite using `tidal_stats`\n", + "\n", + "***" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Getting started\n", + "To run this analysis, run all the cells in the notebook, starting with the \"Load packages\" cell. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load packages\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# import datacube\n", + "# import xarray as xr\n", + "# import pandas as pd\n", + "# import matplotlib.pyplot as plt\n", + "# from datacube.utils.masking import mask_invalid_data\n", + "\n", + "# import sys\n", + "\n", + "# sys.path.insert(1, \"../Tools/\")\n", + "# from dea_tools.datahandling import load_ard\n", + "# from dea_tools.plotting import rgb, display_map\n", + "# from dea_tools.coastal import model_tides, tidal_tag, pixel_tides, tidal_stats\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Connect to the datacube\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "dc = datacube.Datacube(app=\"Tidal_modelling\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Modelling tide heights using `model_tides`\n", + "To simply model tide heights for a specific location and set of times, we can use the `dea_tools.coastal.model_tides` function. \n", + "For example, we can model hourly tides across a one month period (September 2022):" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Modelling tides using FES2014\n" + ] + }, + { + "data": { + "text/html": [ + "
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2022-09-01 04:00:00122.21-18.2FES20142.591887
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" + ], + "text/plain": [ + " tide_model tide_m\n", + "time x y \n", + "2022-09-01 00:00:00 122.21 -18.2 FES2014 -3.606788\n", + "2022-09-01 01:00:00 122.21 -18.2 FES2014 -2.470168\n", + "2022-09-01 02:00:00 122.21 -18.2 FES2014 -0.675034\n", + "2022-09-01 03:00:00 122.21 -18.2 FES2014 1.140802\n", + "2022-09-01 04:00:00 122.21 -18.2 FES2014 2.591887" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Set of times to model tides for\n", + "date_list = pd.date_range(start=\"2022-09-01\", end=\"2022-09-10\", freq=\"1h\")\n", + "\n", + "# Run the FES2014 tidal model\n", + "tide_df = model_tides(\n", + " x=[122.21],\n", + " y=[-18.20],\n", + " time=date_list,\n", + ")\n", + "\n", + "# Print outputs\n", + "tide_df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Tide heights for each time and coordinate are included in the `tide_m` column above (representing tide height in metres relative to Mean Sea Level).\n", + "\n", + "We can also plot out resulting tides to view how tides changed across this month. \n", + "By looking at the y-axis, we can see that tides ranged from a minimum of ~-4 metres up to a maximum of +4 metres relative to Mean Sea Level:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tide_df.reset_index([\"x\", \"y\"]).tide_m.plot();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### \"One-to-many\" and \"one-to-one\" modes\n", + "\n", + "By default, the `model_tides` function operates in **\"one-to-many\"** mode, which will model tides for every requested timestep, at every requested location.\n", + "For example, if we provided five x, y coordinates and five timesteps, the function would return:\n", + "```\n", + "5 locations * 5 timesteps = 25 modelled tides\n", + "```\n", + "\n", + "However, often you may have a list of locations and matching timesteps.\n", + "Using **\"one-to-one\"** mode, we can model tides for only these exact pairs of locations and times:\n", + "```\n", + "5 timesteps at 5 locations = 5 modelled tides\n", + "```\n", + "\n", + "To demonstrate \"one-to-one\" mode, imagine we have a `pandas.Dataframe` where each row contains unique site locations and times:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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timexy
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" + ], + "text/plain": [ + " time x y\n", + "0 2022-09-01 00:00:00 122.21 -18.2\n", + "1 2022-09-08 06:00:00 122.22 -18.2\n", + "2 2022-09-15 12:00:00 122.23 -18.2\n", + "3 2022-09-22 18:00:00 122.24 -18.2\n", + "4 2022-09-30 00:00:00 122.25 -18.2" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sites_df = pd.DataFrame({\n", + " \"time\": pd.date_range(start=\"2022-09-01\", end=\"2022-09-30\", periods=5),\n", + " \"x\": [122.21, 122.22, 122.23, 122.24, 122.25],\n", + " \"y\": [-18.20, -18.20, -18.20, -18.20, -18.20]\n", + "})\n", + "\n", + "sites_df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Using \"one-to-one\" mode, we can model a tide height for each row in our dataframe, and add it as a new dataframe column:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Modelling tides using FES2014 in parallel\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 5/5 [00:12<00:00, 2.54s/it]\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
 timexytide_height
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\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Model tides in \"one-to-one\" mode\n", + "tide_df = model_tides(\n", + " x=sites_df.x,\n", + " y=sites_df.y,\n", + " time=sites_df.time,\n", + " mode=\"one-to-one\",\n", + ")\n", + "\n", + "# Add results as a new datframe column\n", + "sites_df[\"tide_height\"] = tide_df.tide_m.values\n", + "sites_df.style.set_properties(**{\"background-color\": \"#FFFF8F\"}, subset=[\"tide_height\"])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "## Modelling tide heights for each satellite observation using `tidal_tag`\n", + "\n", + "However, often it is valuable to estimate the height of the tide at the exact moment satellite images were taken over a coastline.\n", + "This can help sort and filter images by tide height, allowing us to learn more about how coastal environments respond to the effect of changing tides.\n", + "\n", + "To demonstrate how this can be done, we first need to load in an example time series of satellite imagery.\n", + "\n", + "### Set up data query\n", + "\n", + "First we set up a query to define the area, time period and other parameters required for loading data.\n", + "In this example, we will load several years of Landsat 8 data for intertidal mud flats **south of Broome in Western Australia**.\n", + "We load the `'nbart_red', 'nbart_green', 'nbart_blue'` bands so that we can plot the data as true colour imagery.\n", + "\n", + "> The `dask_chunks` parameter allows us to [use Dask](https://examples.dask.org/xarray.html) to lazily load data rather than load data directly into memory, which can take a long time and large amounts of memory.\n", + "Lazy loading can be a very useful approach for when you need to load large amounts of data without crashing your analysis.\n", + "In coastal applications, it allows us to load (using either `.compute()` or by plotting our data) only a small subset of observations from our entire time series (e.g. only low or high tide observations) without having to load the entire dataset into memory first, which can greatly decrease processing times.\n", + ">\n", + "> For more information about using Dask, refer to the [Parallel processing with Dask](../Beginners_guide/09_Parallel_processing_with_Dask.ipynb) notebook." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# Set up data load query\n", + "query = {\n", + " \"x\": (122.15, 122.26),\n", + " \"y\": (-18.14, -18.24),\n", + " \"time\": (\"2020-01\", \"2020-06\"),\n", + " \"measurements\": [\"nbart_red\", \"nbart_green\", \"nbart_blue\"],\n", + " \"group_by\": \"solar_day\",\n", + " \"dask_chunks\": {},\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can preview the area that we will load data for:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
Make this Notebook Trusted to load map: File -> Trust Notebook
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "display_map(x=query['x'], y=query['y'])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "### Load satellite time-series\n", + "\n", + "To obtain some satellite data to analyse, we use the `load_ard` function to import a time series of Landsat 8 observations as an `xarray.Dataset`.\n", + "The input data does not need to be from Landsat: any remotely-sensed imagery with timestamps and spatial coordinates provide enough data to run the tidal model. " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finding datasets\n", + " ga_ls8c_ard_3\n", + "Returning 13 time steps as a dask array\n" + ] + }, + { + "data": { + "text/html": [ + "
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+       "Coordinates:\n",
+       "  * time         (time) datetime64[ns] 104B 2020-01-13T01:49:41.792637 ... 20...\n",
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+       "  * x            (x) float64 3kB -1.041e+06 -1.041e+06 ... -1.029e+06 -1.029e+06\n",
+       "    spatial_ref  int32 4B 3577\n",
+       "Data variables:\n",
+       "    nbart_red    (time, y, x) float32 9MB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    nbart_green  (time, y, x) float32 9MB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    nbart_blue   (time, y, x) float32 9MB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "Attributes:\n",
+       "    crs:           EPSG:3577\n",
+       "    grid_mapping:  spatial_ref
" + ], + "text/plain": [ + " Size: 26MB\n", + "Dimensions: (time: 13, y: 398, x: 415)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 104B 2020-01-13T01:49:41.792637 ... 20...\n", + " * y (y) float64 3kB -1.977e+06 -1.977e+06 ... -1.989e+06 -1.989e+06\n", + " * x (x) float64 3kB -1.041e+06 -1.041e+06 ... -1.029e+06 -1.029e+06\n", + " spatial_ref int32 4B 3577\n", + "Data variables:\n", + " nbart_red (time, y, x) float32 9MB dask.array\n", + " nbart_green (time, y, x) float32 9MB dask.array\n", + " nbart_blue (time, y, x) float32 9MB dask.array\n", + "Attributes:\n", + " crs: EPSG:3577\n", + " grid_mapping: spatial_ref" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Load available data from Landsat 8\n", + "ds = load_ard(\n", + " dc=dc,\n", + " products=[\"ga_ls8c_ard_3\"],\n", + " mask_pixel_quality=False,\n", + " cloud_cover=(0, 10), # load only scenes with <10% cloud\n", + " **query\n", + ")\n", + "\n", + "# Set nodata to NaN and print output\n", + "ds = mask_invalid_data(ds)\n", + "ds" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "### \"Tagging\" each satellite image with tide height metadata\n", + "\n", + "We can now use the `tidal_tag` function from `dea_tools.coastal` to \"tag\" or associate each satellite observation in our time series with a tide height relative to mean sea level (i.e. approximately equivalent to the Australian Height Datum or AHD).\n", + "This function uses the time and date of acquisition and the geographic location of each satellite observation as inputs to the [Finite Element Solution 2014 (FES2014) tidal model](https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/global-tide-fes/description-fes2014.html):\n", + "\n", + "> **FES2014** is the last version of the FES (Finite Element Solution) tide model developed in 2014-2016. It is an improved version of the FES2012 model. This new FES2014 model has been developed, implemented and validated by the LEGOS, NOVELTIS and CLS, within a CNES funded project. FES2014 takes advantage of longer altimeter time series and better altimeter standards, improved modelling and data assimilation techniques, a more accurate ocean bathymetry and a refined mesh in most of the shallow water regions. Special efforts have been dedicated to address the major non-linear tides issue and to the determination of accurate tidal currents.\n", + "\n", + "The function will automatically select a tide modelling location based on the dataset centroid.\n", + "It will then output modelled tide heights as a new `tide_m` variable in the `xarray.Dataset` (the variable should appear under `Data variables` below):" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Setting tide modelling location from dataset centroid: 122.20, -18.19\n", + "Modelling tides using FES2014\n" + ] + }, + { + "data": { + "text/html": [ + "
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<xarray.Dataset> Size: 26MB\n",
+       "Dimensions:      (time: 13, y: 398, x: 415)\n",
+       "Coordinates:\n",
+       "  * time         (time) datetime64[ns] 104B 2020-01-13T01:49:41.792637 ... 20...\n",
+       "  * y            (y) float64 3kB -1.977e+06 -1.977e+06 ... -1.989e+06 -1.989e+06\n",
+       "  * x            (x) float64 3kB -1.041e+06 -1.041e+06 ... -1.029e+06 -1.029e+06\n",
+       "    spatial_ref  int32 4B 3577\n",
+       "Data variables:\n",
+       "    nbart_red    (time, y, x) float32 9MB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    nbart_green  (time, y, x) float32 9MB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    nbart_blue   (time, y, x) float32 9MB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    tide_m       (time) float32 52B 0.5622 -0.9301 1.639 ... -1.419 3.05 -2.026\n",
+       "Attributes:\n",
+       "    crs:           EPSG:3577\n",
+       "    grid_mapping:  spatial_ref
" + ], + "text/plain": [ + " Size: 26MB\n", + "Dimensions: (time: 13, y: 398, x: 415)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 104B 2020-01-13T01:49:41.792637 ... 20...\n", + " * y (y) float64 3kB -1.977e+06 -1.977e+06 ... -1.989e+06 -1.989e+06\n", + " * x (x) float64 3kB -1.041e+06 -1.041e+06 ... -1.029e+06 -1.029e+06\n", + " spatial_ref int32 4B 3577\n", + "Data variables:\n", + " nbart_red (time, y, x) float32 9MB dask.array\n", + " nbart_green (time, y, x) float32 9MB dask.array\n", + " nbart_blue (time, y, x) float32 9MB dask.array\n", + " tide_m (time) float32 52B 0.5622 -0.9301 1.639 ... -1.419 3.05 -2.026\n", + "Attributes:\n", + " crs: EPSG:3577\n", + " grid_mapping: spatial_ref" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Model tide heights\n", + "ds_tidal = tidal_tag(ds)\n", + "\n", + "# Print output data\n", + "ds_tidal" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can easily plot this new variable to inspect the range of tide heights observed by the satellites in our time series.\n", + "In this example, our observed tide heights range from approximately -2.0 to 4.0 m relative to Mean Sea Level:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ds_tidal.tide_m.plot();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example tide height analysis\n", + "To demonstrate how tidally tagged images can be used to produce composites of high and low tide \n", + "imagery, we can compute the lowest 20% and highest 20% of tide heights, and use these to filter our observations. \n", + "We can then combine and plot these filtered observations to visualise how the landscape appears at low and high tide:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/env/lib/python3.10/site-packages/rasterio/warp.py:344: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " _reproject(\n" + ] + } + ], + "source": [ + "# Calculate the lowest and highest 20% of tides\n", + "lowest_20, highest_20 = ds_tidal.tide_m.quantile([0.2, 0.8]).values\n", + "\n", + "# Filter our data to low and high tide observations\n", + "filtered_low = ds_tidal.where(ds_tidal.tide_m <= lowest_20, drop=True)\n", + "filtered_high = ds_tidal.where(ds_tidal.tide_m >= highest_20, drop=True)\n", + "\n", + "# Take the simple median of each set of low and high tide observations to\n", + "# produce a composite (alternatively, observations could be combined\n", + "# using a geomedian to keep band relationships consistent)\n", + "median_low = filtered_low.median(dim=\"time\", keep_attrs=True)\n", + "median_high = filtered_high.median(dim=\"time\", keep_attrs=True)\n", + "\n", + "# Combine low and high tide medians into a single dataset and give\n", + "# each layer a meaningful name\n", + "ds_highlow = xr.concat([median_low, median_high], dim=\"tide_m\")\n", + "ds_highlow[\"tide_m\"] = [\"Low tide\", \"High tide\"]\n", + "\n", + "# Plot low and high tide medians side-by-side\n", + "rgb(ds_highlow, col=\"tide_m\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Swapping dimensions\n", + "\n", + "The `tidal_tag` function allows you to use tide heights as the primary dimension in the dataset, rather than time.\n", + "Setting `swap_dims=True` will swap the `time` dimension in the original `xarray.Dataset` to the new `tide_m` variable." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Setting tide modelling location from dataset centroid: 122.20, -18.19\n", + "Modelling tides using FES2014\n" + ] + }, + { + "data": { + "text/html": [ + "
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<xarray.Dataset> Size: 26MB\n",
+       "Dimensions:      (y: 398, x: 415, tide_m: 13)\n",
+       "Coordinates:\n",
+       "  * y            (y) float64 3kB -1.977e+06 -1.977e+06 ... -1.989e+06 -1.989e+06\n",
+       "  * x            (x) float64 3kB -1.041e+06 -1.041e+06 ... -1.029e+06 -1.029e+06\n",
+       "    spatial_ref  int32 4B 3577\n",
+       "  * tide_m       (tide_m) float32 52B -2.026 -1.811 -1.419 ... 3.05 3.272 3.786\n",
+       "Data variables:\n",
+       "    nbart_red    (tide_m, y, x) float32 9MB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    nbart_green  (tide_m, y, x) float32 9MB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    nbart_blue   (tide_m, y, x) float32 9MB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "Attributes:\n",
+       "    crs:           EPSG:3577\n",
+       "    grid_mapping:  spatial_ref
" + ], + "text/plain": [ + " Size: 26MB\n", + "Dimensions: (y: 398, x: 415, tide_m: 13)\n", + "Coordinates:\n", + " * y (y) float64 3kB -1.977e+06 -1.977e+06 ... -1.989e+06 -1.989e+06\n", + " * x (x) float64 3kB -1.041e+06 -1.041e+06 ... -1.029e+06 -1.029e+06\n", + " spatial_ref int32 4B 3577\n", + " * tide_m (tide_m) float32 52B -2.026 -1.811 -1.419 ... 3.05 3.272 3.786\n", + "Data variables:\n", + " nbart_red (tide_m, y, x) float32 9MB dask.array\n", + " nbart_green (tide_m, y, x) float32 9MB dask.array\n", + " nbart_blue (tide_m, y, x) float32 9MB dask.array\n", + "Attributes:\n", + " crs: EPSG:3577\n", + " grid_mapping: spatial_ref" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Model tide heights\n", + "ds_tidal = tidal_tag(ds, swap_dims=True)\n", + "\n", + "# Print output data\n", + "ds_tidal" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dataset now contains three dimensions: `tide_m`, `x` and `y`. \n", + "This can make it easier to analyse the data with respect to tide, e.g. plotting the lowest and highest tide image in our dataset:" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot first (lowest tide) and last (highest tide) images\n", + "rgb(ds_tidal, index_dim=\"tide_m\", index=[0, -1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "> **Note:** The white dots in the images above are false positives in the automated cloud mask caused by bright sandy shorelines being mistaken for clouds." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Modelling ebb and flow tidal phases\n", + "\n", + "The `tidal_tag` function also allows us to determine whether each satellite observation was taken while the tide was rising/incoming (flow tide) or falling/outgoing (ebb tide) by setting `ebb_flow=True`.\n", + "This is achieved by comparing tide heights 15 minutes before and after the observed satellite observation.\n", + "\n", + "Ebb and flow data can provide valuable contextual information for interpreting satellite imagery, particularly in tidal flat or mangrove forest environments where water may remain in the landscape for considerable time after the tidal peak." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Setting tide modelling location from dataset centroid: 122.20, -18.19\n", + "Modelling tides using FES2014\n", + "Modelling tidal phase (e.g. ebb or flow)\n", + "Modelling tides using FES2014\n" + ] + }, + { + "data": { + "text/html": [ + "
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<xarray.Dataset> Size: 26MB\n",
+       "Dimensions:      (time: 13, y: 398, x: 415)\n",
+       "Coordinates:\n",
+       "  * time         (time) datetime64[ns] 104B 2020-01-13T01:49:41.792637 ... 20...\n",
+       "  * y            (y) float64 3kB -1.977e+06 -1.977e+06 ... -1.989e+06 -1.989e+06\n",
+       "  * x            (x) float64 3kB -1.041e+06 -1.041e+06 ... -1.029e+06 -1.029e+06\n",
+       "    spatial_ref  int32 4B 3577\n",
+       "Data variables:\n",
+       "    nbart_red    (time, y, x) float32 9MB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    nbart_green  (time, y, x) float32 9MB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    nbart_blue   (time, y, x) float32 9MB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    tide_m       (time) float32 52B 0.5622 -0.9301 1.639 ... -1.419 3.05 -2.026\n",
+       "    ebb_flow     (time) <U4 208B 'Flow' 'Flow' 'Flow' ... 'Flow' 'Flow' 'Flow'\n",
+       "Attributes:\n",
+       "    crs:           EPSG:3577\n",
+       "    grid_mapping:  spatial_ref
" + ], + "text/plain": [ + " Size: 26MB\n", + "Dimensions: (time: 13, y: 398, x: 415)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 104B 2020-01-13T01:49:41.792637 ... 20...\n", + " * y (y) float64 3kB -1.977e+06 -1.977e+06 ... -1.989e+06 -1.989e+06\n", + " * x (x) float64 3kB -1.041e+06 -1.041e+06 ... -1.029e+06 -1.029e+06\n", + " spatial_ref int32 4B 3577\n", + "Data variables:\n", + " nbart_red (time, y, x) float32 9MB dask.array\n", + " nbart_green (time, y, x) float32 9MB dask.array\n", + " nbart_blue (time, y, x) float32 9MB dask.array\n", + " tide_m (time) float32 52B 0.5622 -0.9301 1.639 ... -1.419 3.05 -2.026\n", + " ebb_flow (time) \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
tide_mebb_flow
time
2020-01-13 01:49:41.7926370.562249Flow
2020-01-29 01:49:37.148233-0.930141Flow
2020-02-21 01:55:18.2160051.639398Flow
2020-03-08 01:55:12.5152742.301430Flow
2020-03-17 01:49:21.317513-1.811296Flow
2020-03-24 01:55:04.3539442.813786Flow
2020-04-09 01:54:56.0772273.272171Flow
2020-04-25 01:54:48.9419362.010019Flow
2020-05-04 01:48:56.9065891.238869Ebb
2020-06-05 01:49:03.3966123.785858Flow
2020-06-12 01:54:54.641568-1.419148Flow
2020-06-21 01:49:12.7573393.050224Flow
2020-06-28 01:55:03.091663-2.025774Flow
\n", + "" + ], + "text/plain": [ + " tide_m ebb_flow\n", + "time \n", + "2020-01-13 01:49:41.792637 0.562249 Flow\n", + "2020-01-29 01:49:37.148233 -0.930141 Flow\n", + "2020-02-21 01:55:18.216005 1.639398 Flow\n", + "2020-03-08 01:55:12.515274 2.301430 Flow\n", + "2020-03-17 01:49:21.317513 -1.811296 Flow\n", + "2020-03-24 01:55:04.353944 2.813786 Flow\n", + "2020-04-09 01:54:56.077227 3.272171 Flow\n", + "2020-04-25 01:54:48.941936 2.010019 Flow\n", + "2020-05-04 01:48:56.906589 1.238869 Ebb\n", + "2020-06-05 01:49:03.396612 3.785858 Flow\n", + "2020-06-12 01:54:54.641568 -1.419148 Flow\n", + "2020-06-21 01:49:12.757339 3.050224 Flow\n", + "2020-06-28 01:55:03.091663 -2.025774 Flow" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds_tidal[[\"time\", \"tide_m\", \"ebb_flow\"]].to_dataframe().drop(\"spatial_ref\", axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We could for example use this data to filter our observations to keep ebbing phase observations only:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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<xarray.Dataset> Size: 2MB\n",
+       "Dimensions:      (time: 1, y: 398, x: 415)\n",
+       "Coordinates:\n",
+       "  * time         (time) datetime64[ns] 8B 2020-05-04T01:48:56.906589\n",
+       "  * y            (y) float64 3kB -1.977e+06 -1.977e+06 ... -1.989e+06 -1.989e+06\n",
+       "  * x            (x) float64 3kB -1.041e+06 -1.041e+06 ... -1.029e+06 -1.029e+06\n",
+       "    spatial_ref  int32 4B 3577\n",
+       "Data variables:\n",
+       "    nbart_red    (time, y, x) float32 661kB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    nbart_green  (time, y, x) float32 661kB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    nbart_blue   (time, y, x) float32 661kB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    tide_m       (time) float32 4B 1.239\n",
+       "    ebb_flow     (time) object 8B 'Ebb'\n",
+       "Attributes:\n",
+       "    crs:           EPSG:3577\n",
+       "    grid_mapping:  spatial_ref
" + ], + "text/plain": [ + " Size: 2MB\n", + "Dimensions: (time: 1, y: 398, x: 415)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 8B 2020-05-04T01:48:56.906589\n", + " * y (y) float64 3kB -1.977e+06 -1.977e+06 ... -1.989e+06 -1.989e+06\n", + " * x (x) float64 3kB -1.041e+06 -1.041e+06 ... -1.029e+06 -1.029e+06\n", + " spatial_ref int32 4B 3577\n", + "Data variables:\n", + " nbart_red (time, y, x) float32 661kB dask.array\n", + " nbart_green (time, y, x) float32 661kB dask.array\n", + " nbart_blue (time, y, x) float32 661kB dask.array\n", + " tide_m (time) float32 4B 1.239\n", + " ebb_flow (time) object 8B 'Ebb'\n", + "Attributes:\n", + " crs: EPSG:3577\n", + " grid_mapping: spatial_ref" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds_tidal.where(ds_tidal.ebb_flow == \"Ebb\", drop=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Advanced\n", + "\n", + "### Modelling tides for each pixel in a satellite time series using `pixel_tides`\n", + "\n", + "The previous examples show how to model a single tide height for each satellite image using the centroid of the image as a tide modelling location. \n", + "However, in reality tides vary spatially, potentially up to several metres across a distance of kilometres in areas of complex tidal dynamics. \n", + "This means that an individual satellite image can contain a range of tide height conditions.\n", + "\n", + "To capture this spatial variability in tide heights, we can use the `pixel_tides` function from `dea_tools.coastal`.\n", + "For efficient processing, this function first models tides into a low resolution 5000 m grid surrounding each satellite image in our time series.\n", + "This lower resolution data will also include a buffer around the extent of our data tides can be modelled seamlessly across analysis boundaries:" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating reduced resolution 5000 x 5000 metre tide modelling array\n", + "Modelling tides using FES2014 in parallel\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 5/5 [00:12<00:00, 2.49s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Returning low resolution tide array\n" + ] + } + ], + "source": [ + "# Extract a subset of our satellite data above to make plotting easier\n", + "ds_subset = ds.isel(time=slice(0, 3))\n", + "\n", + "# Model tides spatially using `pixel_tides`\n", + "tides_lowres = pixel_tides(ds_subset, resample=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If we plot the resulting data, we can see that we now have 2D tide surfaces for each timestep in our data (instead of the single tide height per timestamp returned by the `tidal_tag` function).\n", + "\n", + "Blue values below indicate low tide pixels, while red indicates high tide pixels.\n", + "If you look closely at the second and third timestep below, you may also be able to see some spatial variability in tide heights within each timestep, with slight variations in tide heights along the left (west) side of the study area:" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tides_lowres.plot.imshow(col=\"time\", vmin=-1, vmax=1, cmap='RdBu')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Reprojecting tide heights back into original high resolution spatial grid\n", + "By setting `resample=True`, we can use interpolation to re-project our low resolution tide data back into the resolution of our satellite image, resulting in an individual tide height value for every single pixel in our dataset through time and space:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating reduced resolution 5000 x 5000 metre tide modelling array\n", + "Modelling tides using FES2014 in parallel\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 5/5 [00:12<00:00, 2.59s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reprojecting tides into original array\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Model tides spatially using `pixel_tides`\n", + "tides_highres, tides_lowres = pixel_tides(ds_subset, resample=True)\n", + "\n", + "tides_highres.plot.imshow(col=\"time\", vmin=-1, vmax=1, cmap=\"RdBu\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`tides_highres` will have exactly the same dimensions as `ds_subset`, with a unique tide height for every satellite pixel:" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Frozen({'time': 3, 'y': 398, 'x': 415})" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds_subset.sizes" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Frozen({'time': 3, 'y': 398, 'x': 415})" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tides_highres.sizes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Because of this, our stack of tides can be added as an additional 3D variable in our dataset:" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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<xarray.Dataset> Size: 8MB\n",
+       "Dimensions:      (time: 3, y: 398, x: 415)\n",
+       "Coordinates:\n",
+       "  * time         (time) datetime64[ns] 24B 2020-01-13T01:49:41.792637 ... 202...\n",
+       "  * y            (y) float64 3kB -1.977e+06 -1.977e+06 ... -1.989e+06 -1.989e+06\n",
+       "  * x            (x) float64 3kB -1.041e+06 -1.041e+06 ... -1.029e+06 -1.029e+06\n",
+       "    spatial_ref  int32 4B 3577\n",
+       "    tide_model   <U7 28B 'FES2014'\n",
+       "Data variables:\n",
+       "    nbart_red    (time, y, x) float32 2MB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    nbart_green  (time, y, x) float32 2MB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    nbart_blue   (time, y, x) float32 2MB dask.array<chunksize=(1, 398, 415), meta=np.ndarray>\n",
+       "    tide_m       (time, y, x) float32 2MB 0.5856 0.5854 0.5853 ... 1.638 1.638\n",
+       "    ebb_flow     (time) <U4 48B 'Flow' 'Flow' 'Flow'\n",
+       "Attributes:\n",
+       "    crs:           EPSG:3577\n",
+       "    grid_mapping:  spatial_ref
" + ], + "text/plain": [ + " Size: 8MB\n", + "Dimensions: (time: 3, y: 398, x: 415)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 24B 2020-01-13T01:49:41.792637 ... 202...\n", + " * y (y) float64 3kB -1.977e+06 -1.977e+06 ... -1.989e+06 -1.989e+06\n", + " * x (x) float64 3kB -1.041e+06 -1.041e+06 ... -1.029e+06 -1.029e+06\n", + " spatial_ref int32 4B 3577\n", + " tide_model \n", + " nbart_green (time, y, x) float32 2MB dask.array\n", + " nbart_blue (time, y, x) float32 2MB dask.array\n", + " tide_m (time, y, x) float32 2MB 0.5856 0.5854 0.5853 ... 1.638 1.638\n", + " ebb_flow (time) " + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tides_highres_quantiles.plot.imshow(col=\"quantile\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Pixel-based tides for custom times\n", + "Instead of using times contained in the `time` dimension of our dataset, we can also calculate pixel-based tides for a custom set of times:" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating reduced resolution 5000 x 5000 metre tide modelling array\n", + "Modelling tides using FES2014 in parallel\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 5/5 [00:12<00:00, 2.58s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reprojecting tides into original array\n" + ] + } + ], + "source": [ + "custom_times = pd.date_range(start=\"2022-01-01\", end=\"2022-01-02\", freq=\"6H\")\n", + "\n", + "tides_highres, tides_lowres = pixel_tides(ds_subset, resample=True, times=custom_times)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tides_highres.plot.imshow(col=\"time\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "### Evaluating tidal biases using `tidal_stats`\n", + "\n", + "The complex temporal behaviour of tides mean that a sun synchronous sensor like Landsat [does not observe the full range of the tidal cycle at all locations](https://www.sciencedirect.com/science/article/pii/S0272771418308783#sec3).\n", + "Biases in the proportion of the tidal range observed by satellites can prevent us from obtaining data on areas of the coastline exposed or inundated at the extremes of the\n", + "tidal range. \n", + "This can risk gaining misleading insights into the true extent of the area of the coastline affected by tides, and make it difficult to compare high or low tide images fairly in different locations.\n", + "\n", + "The `tidal_stats` function can assist in evaluating how the range of tides observed by satellites compare to the full tidal range.\n", + "It works by using our tidal model to to model all available tide heights at a regular interval (every two hours by default) across the entire time period covered by the input satellite time series dataset.\n", + "This is then compared against the tide heights in observed by the satellite and used to calculate a range of statistics and a plot that summarises potential biases in the data.\n", + "\n", + "> For a more detailed discussion of the issue of tidal bias in sun-synchronous satellite observations of the coastline, refer to the ['Limitations and future work' section in Bishop-Taylor et al. 2018](https://www.sciencedirect.com/science/article/pii/S0272771418308783#sec3).\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Setting tide modelling location from dataset centroid: 122.20, -18.19\n", + "Modelling tides using FES2014\n", + "Modelling tides using FES2014\n", + " tide_model tide_m\n", + "time x y \n", + "2020-01-13 01:49:41.792637 122.204971 -18.190029 FES2014 0.562249\n", + "2020-01-13 03:49:41.792637 122.204971 -18.190029 FES2014 3.454227\n", + "2020-01-13 05:49:41.792637 122.204971 -18.190029 FES2014 2.493470\n", + "2020-01-13 07:49:41.792637 122.204971 -18.190029 FES2014 -0.528646\n", + "2020-01-13 09:49:41.792637 122.204971 -18.190029 FES2014 -3.204748\n", + "... ... ...\n", + "2020-06-27 17:49:41.792637 122.204971 -18.190029 FES2014 1.922974\n", + "2020-06-27 19:49:41.792637 122.204971 -18.190029 FES2014 2.180105\n", + "2020-06-27 21:49:41.792637 122.204971 -18.190029 FES2014 0.217506\n", + "2020-06-27 23:49:41.792637 122.204971 -18.190029 FES2014 -1.491524\n", + "2020-06-28 01:49:41.792637 122.204971 -18.190029 FES2014 -2.060531\n", + "\n", + "[2005 rows x 2 columns]\n", + "\n", + "59% of the 9.81 m modelled astronomical tidal range is observed at this location.\n", + "The lowest 28% and highest 12% of astronomical tides are never observed.\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "out_stats = tidal_stats(ds)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The function also outputs a `pandas.Series` object containing a set of statistics that compare the observed vs. full modelled tidal ranges.\n", + "These statistics include: \n", + "\n", + "* **tidepost_lat:** latitude used for modelling tide heights\n", + "* **tidepost_lon:** longitude used for modelling tide heights\n", + "* **observed_min_m:** minimum tide height observed by the satellite (in metre units)\n", + "* **all_min_m:** minimum tide height from full modelled tidal range (in metre units)\n", + "* **observed_max_m:** maximum tide height observed by the satellite (in metre units)\n", + "* **all_max_m:** maximum tide height from full modelled tidal range (in metre units)\n", + "* **observed_range_m:** tidal range observed by the satellite (in metre units)\n", + "* **all_range_m:** full modelled tidal range (in metre units)\n", + "* **spread_m:** proportion of the full modelled tidal range observed by the satellite (see [Bishop-Taylor et al. 2018](https://www.sciencedirect.com/science/article/pii/S0272771418308783#sec3))\n", + "* **low_tide_offset:** proportion of the lowest tides never observed by the satellite (see [Bishop-Taylor et al. 2018](https://www.sciencedirect.com/science/article/pii/S0272771418308783#sec3))\n", + "* **high_tide_offset:** proportion of the highest tides never observed by the satellite (see [Bishop-Taylor et al. 2018](https://www.sciencedirect.com/science/article/pii/S0272771418308783#sec3))" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tidepost_lat -18.190\n", + "tidepost_lon 122.205\n", + "observed_mean_m 1.114\n", + "all_mean_m 0.001\n", + "observed_min_m -2.026\n", + "all_min_m -4.803\n", + "observed_max_m 3.786\n", + "all_max_m 5.008\n", + "observed_range_m 5.812\n", + "all_range_m 9.811\n", + "spread 0.592\n", + "low_tide_offset 0.283\n", + "high_tide_offset 0.125\n", + "dtype: float64" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "out_stats" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "---\n", + "\n", + "## Additional information\n", + "\n", + "**FES2014:** Tidal modelling is provided by the FES2014 global tidal model, implemented using functions from the [pyTMD Python package](https://pytmd.readthedocs.io/en/latest/getting_started/Citations.html). FES2014 was produced by NOVELTIS, LEGOS, CLS Space Oceanography Division and CNES. It is distributed by AVISO, with support from CNES (https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/global-tide-fes/description-fes2014.html).\n", + "\n", + "**License:** The code in this notebook is licensed under the [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0). \n", + "Digital Earth Australia data is licensed under the [Creative Commons by Attribution 4.0](https://creativecommons.org/licenses/by/4.0/) license.\n", + "\n", + "**Contact:** If you need assistance, please post a question on the [Open Data Cube Discord chat](https://discord.com/invite/4hhBQVas5U) or on the [GIS Stack Exchange](https://gis.stackexchange.com/questions/ask?tags=open-data-cube) using the `open-data-cube` tag (you can view previously asked questions [here](https://gis.stackexchange.com/questions/tagged/open-data-cube)).\n", + "If you would like to report an issue with this notebook, you can file one on [GitHub](https://github.com/GeoscienceAustralia/dea-notebooks).\n", + "\n", + "**Last modified:** July 2024\n", + "\n", + "**Compatible datacube version:** " + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.8.18\n" + ] + } + ], + "source": [ + "print(datacube.__version__)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Tags\n", + "" + ] + }, + { + "cell_type": "raw", + "metadata": { + "raw_mimetype": "text/restructuredtext" + }, + "source": [ + "**Tags**: :index:`sandbox compatible`, :index:`NCI compatible`, :index:`landsat 8`, :index:`display_map`, :index:`load_ard`, :index:`rgb`, :index:`tidal_tag`, :index:`tidal_stats`, :index:`model_tides`, :index:`pixel_tides`, :index:`tide modelling`, :index:`intertidal`, :index:`Dask`, :index:`lazy loading`, :index:`rolling window`" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.13" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": {}, + "version_major": 2, + "version_minor": 0 + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/docs/setup.md b/docs/setup.md new file mode 100644 index 0000000..a44f94f --- /dev/null +++ b/docs/setup.md @@ -0,0 +1,70 @@ +# Setting up tide models + +## Getting started with the [FES2014 Finite Element Solution tide model](https://www.aviso.altimetry.fr/es/data/products/auxiliary-products/global-tide-fes/description-fes2014.html) + +1. [Register with AVISO+](https://www.aviso.altimetry.fr/en/data/data-access/registration-form.html), and select `FES2014 / FES2012 (Oceanic Tides Heights)` from the `PRODUCT SELECTION` section: + + ![image](https://user-images.githubusercontent.com/17680388/160057710-dbb0c8b9-56e9-451a-91c3-d90e503d8512.png) + +2. Once your registration is complete, login to [MY AVISO+](https://www.aviso.altimetry.fr/en/my-aviso-plus.html). +3. Once logged in, select [My products](https://www.aviso.altimetry.fr/en/my-aviso-plus/my-products.html) in the left-hand menu: + + ![image](https://user-images.githubusercontent.com/17680388/160057999-381fb818-e379-46cb-a3c4-a836308a96d8.png) + +4. `FES2014 / FES2012 (Oceanic Tides Heights)` should appear under `Your current subscriptions.` Right click on `Ftp`, and copy the FTP address. + + ![image](https://user-images.githubusercontent.com/17680388/160058064-77430ddf-1939-449d-86e7-f05b27ca768a.png) + +5. Using an FTP client like FileZilla, log in to the FTP using your AVISO+ username and password: + + ![image](https://user-images.githubusercontent.com/17680388/160058263-b0b1da72-e5ac-47ca-b1d0-544569d3f06a.png) + +6. Navigate to `/auxiliary/tide_model/fes2014_elevations_and_load/`, and download the following files: + +- `fes2014a_loadtide/load_tide.tar.xz` +- `fes2014b_elevations/ocean_tide.tar.xz` (_or_ `fes2014b_elevations_extrapolated/ocean_tide_extrapolated.tar.xz`; this extrapolated version includes additional coverage of the coastal zone, which can be useful for coastal applications) + +7. Create a new folder (i.e. `tide_models/fes2014/`) to store the model files in a location that will be accessible to the DEA Coastlines code. Extract `load_tide.tar.xz` and `ocean_tide.tar.xz` into this folder (e.g. `tar -xf load_tide.tar.xz`). You should end up with the following directory structure containing the extracted NetCDF files: + +``` +tide_models/fes2014/load_tide/ + |- 2n2.nc + |- ... + |- t2.nc +tide_models/fes2014/ocean_tide/ + |- 2n2.nc + |- ... + |- t2.nc +``` + +> **Note**: If you downloaded `ocean_tide_extrapolated.tar.xz`, you will need to rename the extracted `ocean_tide_extrapolated` folder to `ocean_tide`. + +### Modelling tides + +If the `pyTMD` Python package is not installed on your system, this can be installed using: + +``` +pip install pytmd +``` + +Tides can now be modelled using the `model_tides` function from the `dea_tools.coastal` package: + +``` +import pandas as pd +from dea_tools.coastal import model_tides + +lons=[155, 160] +lats=[-35, -36] +example_times = pd.date_range("2022-01-01", "2022-01-04", freq="1D") + +model_tides( + x=lons, + y=lats, + time=example_times.values, + directory='tide_models' +) +``` + +In the DEA Coastlines code, this function is used in the `raster` module as part of the annual water index composite generation process. + +Depending on where you created the `tide_models` directory, you may need to update the `directory` parameter of the `model_tide_points` function to point to the location of the FES2014 model files. diff --git a/docs/usage.md b/docs/usage.md new file mode 100644 index 0000000..e69de29 diff --git a/eo_tides/__init__.py b/eo_tides/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/eo_tides/model.py b/eo_tides/model.py new file mode 100644 index 0000000..b5981d3 --- /dev/null +++ b/eo_tides/model.py @@ -0,0 +1,1104 @@ +import os +import pathlib +from concurrent.futures import ProcessPoolExecutor +from functools import partial + +import geopandas as gpd +import numpy as np +import odc.geo.xr +import pandas as pd +import pyproj +import pyTMD +from tqdm import tqdm + +from eo_tides.utils import idw + + +def _model_tides( + model, + x, + y, + time, + directory, + crs, + crop, + method, + extrapolate, + cutoff, + output_units, + mode, +): + """Worker function applied in parallel by `model_tides`. Handles the + extraction of tide modelling constituents and tide modelling using + `pyTMD`. + """ + # import pyTMD.eop + # import pyTMD.io + # import pyTMD.io.model + # import pyTMD.predict + # import pyTMD.spatial + # import pyTMD.time + # import pyTMD.utilities + + # Get parameters for tide model; use custom definition file for + # FES2012 (leave this as an undocumented feature for now) + # if model == "FES2012": + # pytmd_model = pyTMD.io.model(directory).from_file( + # directory / "model_FES2012.def" + # ) + # elif model == "TPXO8-atlas-v1": + # pytmd_model = pyTMD.io.model(directory).from_file(directory / "model_TPXO8.def") + # else: + # pytmd_model = pyTMD.io.model( + # directory, format="netcdf", compressed=False + # ).elevation(model) + + # if model in NONSTANDARD_MODELS: + # model_params = NONSTANDARD_MODELS[model] + # model_params_bytes = io.BytesIO(json.dumps(model_params).encode("utf-8")) + # pytmd_model = pyTMD.io.model(directory).from_file(definition_file=model_params_bytes) + + # else: + + pytmd_model = pyTMD.io.model(directory).elevation(model) + + # Convert x, y to latitude/longitude + transformer = pyproj.Transformer.from_crs(crs, "EPSG:4326", always_xy=True) + lon, lat = transformer.transform(x.flatten(), y.flatten()) + + # Convert datetime + timescale = pyTMD.time.timescale().from_datetime(time.flatten()) + + # Calculate bounds for cropping + buffer = 1 # one degree on either side + bounds = [ + lon.min() - buffer, + lon.max() + buffer, + lat.min() - buffer, + lat.max() + buffer, + ] + + # Read tidal constants and interpolate to grid points + if pytmd_model.format in ("OTIS", "ATLAS-compact", "TMD3"): + amp, ph, D, c = pyTMD.io.OTIS.extract_constants( + lon, + lat, + pytmd_model.grid_file, + pytmd_model.model_file, + pytmd_model.projection, + type=pytmd_model.type, + grid=pytmd_model.file_format, + crop=crop, + bounds=bounds, + method=method, + extrapolate=extrapolate, + cutoff=cutoff, + ) + + # Use delta time at 2000.0 to match TMD outputs + deltat = np.zeros((len(timescale)), dtype=np.float64) + + elif pytmd_model.format in ("ATLAS-netcdf",): + amp, ph, D, c = pyTMD.io.ATLAS.extract_constants( + lon, + lat, + pytmd_model.grid_file, + pytmd_model.model_file, + type=pytmd_model.type, + crop=crop, + bounds=bounds, + method=method, + extrapolate=extrapolate, + cutoff=cutoff, + scale=pytmd_model.scale, + compressed=pytmd_model.compressed, + ) + + # Use delta time at 2000.0 to match TMD outputs + deltat = np.zeros((len(timescale)), dtype=np.float64) + + elif pytmd_model.format in ("GOT-ascii", "GOT-netcdf"): + amp, ph, c = pyTMD.io.GOT.extract_constants( + lon, + lat, + pytmd_model.model_file, + grid=pytmd_model.type, + crop=crop, + bounds=bounds, + method=method, + extrapolate=extrapolate, + cutoff=cutoff, + scale=pytmd_model.scale, + compressed=pytmd_model.compressed, + ) + + # Delta time (TT - UT1) + deltat = timescale.tt_ut1 + + elif pytmd_model.format in ("FES-ascii", "FES-netcdf"): + amp, ph = pyTMD.io.FES.extract_constants( + lon, + lat, + pytmd_model.model_file, + type=pytmd_model.type, + version=pytmd_model.version, + crop=crop, + bounds=bounds, + method=method, + extrapolate=extrapolate, + cutoff=cutoff, + scale=pytmd_model.scale, + compressed=pytmd_model.compressed, + ) + + # Available model constituents + c = pytmd_model.constituents + + # Delta time (TT - UT1) + deltat = timescale.tt_ut1 + + # Calculate complex phase in radians for Euler's + cph = -1j * ph * np.pi / 180.0 + + # Calculate constituent oscillation + hc = amp * np.exp(cph) + + # Determine the number of points and times to process. If in + # "one-to-many" mode, these counts are used to repeat our extracted + # constituents and timesteps so we can extract tides for all + # combinations of our input times and tide modelling points. + # If in "one-to-one" mode, we avoid this step by setting counts to 1 + # (e.g. "repeat 1 times") + points_repeat = len(x) if mode == "one-to-many" else 1 + time_repeat = len(time) if mode == "one-to-many" else 1 + + # If in "one-to-many" mode, repeat constituents to length of time + # and number of input coords before passing to `predict_tide_drift` + t, hc, deltat = ( + np.tile(timescale.tide, points_repeat), + hc.repeat(time_repeat, axis=0), + np.tile(deltat, points_repeat), + ) + + # Predict tidal elevations at time and infer minor corrections + npts = len(t) + tide = np.ma.zeros((npts), fill_value=np.nan) + tide.mask = np.any(hc.mask, axis=1) + + # Predict tides + tide.data[:] = pyTMD.predict.drift(t, hc, c, deltat=deltat, corrections=pytmd_model.corrections) + minor = pyTMD.predict.infer_minor( + t, + hc, + c, + deltat=deltat, + corrections=pytmd_model.corrections, + minor=pytmd_model.minor, + ) + tide.data[:] += minor.data[:] + + # Replace invalid values with fill value + tide.data[tide.mask] = tide.fill_value + + # Convert data to pandas.DataFrame, and set index to our input + # time/x/y values + tide_df = pd.DataFrame({ + "time": np.tile(time, points_repeat), + "x": np.repeat(x, time_repeat), + "y": np.repeat(y, time_repeat), + "tide_model": model, + "tide_m": tide, + }).set_index(["time", "x", "y"]) + + # Optionally convert outputs to integer units (can save memory) + if output_units == "m": + tide_df["tide_m"] = tide_df.tide_m.astype(np.float32) + elif output_units == "cm": + tide_df["tide_m"] = (tide_df.tide_m * 100).astype(np.int16) + elif output_units == "mm": + tide_df["tide_m"] = (tide_df.tide_m * 1000).astype(np.int16) + + return tide_df + + +def _ensemble_model( + x, + y, + crs, + tide_df, + ensemble_models, + ensemble_func=None, + ensemble_top_n=3, + ranking_points="https://dea-public-data-dev.s3-ap-southeast-2.amazonaws.com/derivative/dea_intertidal/supplementary/rankings_ensemble_2017-2019.geojson", + ranking_valid_perc=0.02, + **idw_kwargs, +): + """Combine multiple tide models into a single locally optimised + ensemble tide model using external model ranking data (e.g. + satellite altimetry or NDWI-tide correlations along the coastline) + to inform the selection of the best local models. + + This function performs the following steps: + 1. Loads model ranking points from a GeoJSON file, filters them + based on the valid data percentage, and retains relevant columns + 2. Interpolates the model rankings into the requested x and y + coordinates using Inverse Weighted Interpolation (IDW) + 3. Uses rankings to combine multiple tide models into a single + optimised ensemble model (by default, by taking the mean of the + top 3 ranked models) + 4. Returns a DataFrame with the combined ensemble model predictions + + Parameters + ---------- + x : array-like + Array of x-coordinates where the ensemble model predictions are + required. + y : array-like + Array of y-coordinates where the ensemble model predictions are + required. + crs : string + Input coordinate reference system for x and y coordinates. Used + to ensure that interpolations are performed in the correct CRS. + tide_df : pandas.DataFrame + DataFrame containing tide model predictions with columns + `["time", "x", "y", "tide_m", "tide_model"]`. + ensemble_models : list + A list of models to include in the ensemble modelling process. + All values must exist as columns with the prefix "rank_" in + `ranking_points`. + ensemble_func : dict, optional + By default, a simple ensemble model will be calculated by taking + the mean of the `ensemble_top_n` tide models at each location. + However, a dictionary containing more complex ensemble + calculations can also be provided. Dictionary keys are used + to name output ensemble models; functions should take a column + named "rank" and convert it to a weighting, e.g.: + `ensemble_func = {"ensemble-custom": lambda x: x["rank"] <= 3}` + ensemble_top_n : int, optional + If `ensemble_func` is None, this sets the number of top models + to include in the mean ensemble calculation. Defaults to 3. + ranking_points : str, optional + Path to the GeoJSON file containing model ranking points. This + dataset should include columns containing rankings for each tide + model, named with the prefix "rank_". e.g. "rank_FES2014". + Low values should represent high rankings (e.g. 1 = top ranked). + ranking_valid_perc : float, optional + Minimum percentage of valid data required to include a model + rank point in the analysis, as defined in a column named + "valid_perc". Defaults to 0.02. + **idw_kwargs + Optional keyword arguments to pass to the `idw` function used + for interpolation. Useful values include `k` (number of nearest + neighbours to use in interpolation), `max_dist` (maximum + distance to nearest neighbours), and `k_min` (minimum number of + neighbours required after `max_dist` is applied). + + Returns + ------- + pandas.DataFrame + DataFrame containing the ensemble model predictions, matching + the format of the input `tide_df` (e.g. columns `["time", "x", + "y", "tide_m", "tide_model"]`. By default the 'tide_model' + column will be labeled "ensemble" for the combined model + predictions (but if a custom dictionary of ensemble functions is + provided via `ensemble_func`, each ensemble will be named using + the provided dictionary keys). + + """ + # Load model ranks points and reproject to same CRS as x and y + model_ranking_cols = [f"rank_{m}" for m in ensemble_models] + model_ranks_gdf = ( + gpd.read_file(ranking_points) + .to_crs(crs) + .query(f"valid_perc > {ranking_valid_perc}") + .dropna()[model_ranking_cols + ["geometry"]] + ) + + # Use points to interpolate model rankings into requested x and y + id_kwargs_str = "" if idw_kwargs == {} else idw_kwargs + print(f"Interpolating model rankings using IDW interpolation {id_kwargs_str}") + ensemble_ranks_df = ( + # Run IDW interpolation on subset of ranking columns + pd.DataFrame( + idw( + input_z=model_ranks_gdf[model_ranking_cols], + input_x=model_ranks_gdf.geometry.x, + input_y=model_ranks_gdf.geometry.y, + output_x=x, + output_y=y, + **idw_kwargs, + ), + columns=model_ranking_cols, + ) + .assign(x=x, y=y) + # Drop any duplicates then melt columns into long format + .drop_duplicates() + .melt(id_vars=["x", "y"], var_name="tide_model", value_name="rank") + # Remore "rank_" prefix to get plain model names + .replace({"^rank_": ""}, regex=True) + # Set index columns and rank across groups + .set_index(["tide_model", "x", "y"]) + .groupby(["x", "y"]) + .rank() + ) + + # If no custom ensemble funcs are provided, use a default ensemble + # calculation that takes the mean of the top N tide models + if ensemble_func is None: + ensemble_func = {"ensemble": lambda x: x["rank"] <= ensemble_top_n} + + # Create output list to hold computed ensemble model outputs + ensemble_list = [] + + # Loop through all provided ensemble generation functions + for ensemble_n, ensemble_f in ensemble_func.items(): + print(f"Combining models into single {ensemble_n} model") + + # Join ranks to input tide data, compute weightings and group + grouped = ( + # Add tide model as an index so we can join with model ranks + tide_df.set_index("tide_model", append=True) + .join(ensemble_ranks_df) + # Add temp columns containing weightings and weighted values + .assign( + weights=ensemble_f, # use custom func to compute weights + weighted=lambda i: i.tide_m * i.weights, + ) + # Groupby is specified in a weird order here as this seems + # to be the easiest way to preserve correct index sorting + .groupby(["x", "y", "time"]) + ) + + # Use weightings to combine multiple models into single ensemble + ensemble_df = ( + # Calculate weighted mean and convert back to dataframe + grouped.weighted.sum() + .div(grouped.weights.sum()) + .to_frame("tide_m") + # Label ensemble model and ensure indexes are in expected order + .assign(tide_model=ensemble_n) + .reorder_levels(["time", "x", "y"], axis=0) + ) + + ensemble_list.append(ensemble_df) + + # Combine all ensemble models and return as a single dataframe + return pd.concat(ensemble_list) + + +def model_tides( + x, + y, + time, + model="FES2014", + directory=None, + crs="EPSG:4326", + crop=True, + method="spline", + extrapolate=True, + cutoff=None, + mode="one-to-many", + parallel=True, + parallel_splits=5, + output_units="m", + output_format="long", + ensemble_models=None, + **ensemble_kwargs, +): + """Compute tides at multiple points and times using tidal harmonics. + + This function supports all tidal models supported by `pyTMD`, + including FES Finite Element Solution models, TPXO TOPEX/POSEIDON + models, EOT Empirical Ocean Tide models, GOT Global Ocean Tide + models, and HAMTIDE Hamburg direct data Assimilation Methods for + Tides models. + + This function requires access to tide model data files. + These should be placed in a folder with subfolders matching + the formats specified by `pyTMD`: + + + For FES2014 (): + + - `{directory}/fes2014/ocean_tide/` + + For FES2022 (): + + - `{directory}/fes2022b/ocean_tide/` + + For TPXO8-atlas (): + + - `{directory}/tpxo8_atlas/` + + For TPXO9-atlas-v5 (): + + - `{directory}/TPXO9_atlas_v5/` + + For EOT20 (): + + - `{directory}/EOT20/ocean_tides/` + + For GOT4.10c (): + + - `{directory}/GOT4.10c/grids_oceantide_netcdf/` + + For HAMTIDE (): + + - `{directory}/hamtide/` + + This function is a modification of the `pyTMD` package's + `compute_tide_corrections` function. For more info: + + + Parameters + ---------- + x, y : float or list of floats + One or more x and y coordinates used to define + the location at which to model tides. By default these + coordinates should be lat/lon; use "crs" if they + are in a custom coordinate reference system. + time : A datetime array or pandas.DatetimeIndex + An array containing `datetime64[ns]` values or a + `pandas.DatetimeIndex` providing the times at which to + model tides in UTC time. + model : string, optional + The tide model used to model tides. Options include: + + - "FES2014" (pre-configured on DEA Sandbox) + - "FES2022" + - "TPXO9-atlas-v5" + - "TPXO8-atlas" + - "EOT20" + - "HAMTIDE11" + - "GOT4.10" + - "ensemble" (advanced ensemble tide model functionality; + combining multiple models based on external model rankings) + directory : string, optional + The directory containing tide model data files. If no path is + provided, this will default to the environment variable + `DEA_TOOLS_TIDE_MODELS` if set, otherwise "/var/share/tide_models". + Tide modelling files should be stored in sub-folders for each + model that match the structure provided by `pyTMD`. + + For example: + + - `{directory}/fes2014/ocean_tide/` + - `{directory}/tpxo8_atlas/` + - `{directory}/TPXO9_atlas_v5/` + crs : str, optional + Input coordinate reference system for x and y coordinates. + Defaults to "EPSG:4326" (WGS84; degrees latitude, longitude). + crop : bool optional + Whether to crop tide model constituent files on-the-fly to + improve performance. Cropping will be performed based on a + 1 degree buffer around all input points. Defaults to True. + method : string, optional + Method used to interpolate tidal constituents + from model files. Options include: + + - "spline": scipy bivariate spline interpolation (default) + - "bilinear": quick bilinear interpolation + - "linear", "nearest": scipy regular grid interpolations + extrapolate : bool, optional + Whether to extrapolate tides for x and y coordinates outside of + the valid tide modelling domain using nearest-neighbor. + cutoff : int or float, optional + Extrapolation cutoff in kilometers. The default is None, which + will extrapolate for all points regardless of distance from the + valid tide modelling domain. + mode : string, optional + The analysis mode to use for tide modelling. Supports two options: + + - "one-to-many": Models tides for every timestep in "time" at + every input x and y coordinate point. This is useful if you + want to model tides for a specific list of timesteps across + multiple spatial points (e.g. for the same set of satellite + acquisition times at various locations across your study area). + - "one-to-one": Model tides using a different timestep for each + x and y coordinate point. In this mode, the number of x and + y points must equal the number of timesteps provided in "time". + parallel : boolean, optional + Whether to parallelise tide modelling using `concurrent.futures`. + If multiple tide models are requested, these will be run in + parallel. Optionally, tide modelling can also be run in parallel + across input x and y coordinates (see "parallel_splits" below). + Default is True. + parallel_splits : int, optional + Whether to split the input x and y coordinates into smaller, + evenly-sized chunks that are processed in parallel. This can + provide a large performance boost when processing large numbers + of coordinates. The default is 5 chunks, which will split + coordinates into 5 parallelised chunks. + output_units : str, optional + Whether to return modelled tides in floating point metre units, + or integer centimetre units (i.e. scaled by 100) or integer + millimetre units (i.e. scaled by 1000. Returning outputs in + integer units can be useful for reducing memory usage. + Defaults to "m" for metres; set to "cm" for centimetres or "mm" + for millimetres. + output_format : str, optional + Whether to return the output dataframe in long format (with + results stacked vertically along "tide_model" and "tide_m" + columns), or wide format (with a column for each tide model). + Defaults to "long". + ensemble_models : list, optional + An optional list of models used to generate the ensemble tide + model if "ensemble" tide modelling is requested. Defaults to + ["FES2014", "TPXO9-atlas-v5", "EOT20", "HAMTIDE11", "GOT4.10", + "FES2012", "TPXO8-atlas-v1"]. + **ensemble_kwargs : + Keyword arguments used to customise the generation of optional + ensemble tide models if "ensemble" modelling are requested. + These are passed to the underlying `_ensemble_model` function. + Useful parameters include `ranking_points` (path to model + rankings data), `k` (for controlling how model rankings are + interpolated), and `ensemble_top_n` (how many top models to use + in the ensemble calculation). + + Returns + ------- + pandas.DataFrame + A dataframe containing modelled tide heights. + + """ + # Set tide modelling files directory. If no custom path is provided, + # first try global environmental var, then "/var/share/tide_models" + if directory is None: + if "DEA_TOOLS_TIDE_MODELS" in os.environ: + directory = os.environ["DEA_TOOLS_TIDE_MODELS"] + else: + directory = "/var/share/tide_models" + + # Verify path exists + directory = pathlib.Path(directory).expanduser() + if not directory.exists(): + raise FileNotFoundError("Invalid tide directory") + + # If time passed as a single Timestamp, convert to datetime64 + if isinstance(time, pd.Timestamp): + time = time.to_datetime64() + + # Turn inputs into arrays for consistent handling + models_requested = np.atleast_1d(model) + x = np.atleast_1d(x) + y = np.atleast_1d(y) + time = np.atleast_1d(time) + + # Validate input arguments + assert method in ("bilinear", "spline", "linear", "nearest") + assert output_units in ( + "m", + "cm", + "mm", + ), "Output units must be either 'm', 'cm', or 'mm'." + assert output_format in ( + "long", + "wide", + ), "Output format must be either 'long' or 'wide'." + assert len(x) == len(y), "x and y must be the same length." + if mode == "one-to-one": + assert len(x) == len(time), ( + "The number of supplied x and y points and times must be " + "identical in 'one-to-one' mode. Use 'one-to-many' mode if " + "you intended to model multiple timesteps at each point." + ) + + # Verify that all provided models are supported + valid_models = [ + # Standard built-in pyTMD models + "EOT20", + "FES2014", + "FES2022", + "GOT4.10", + "HAMTIDE11", + "TPXO8-atlas", # binary version, not suitable for clipping + "TPXO9-atlas-v5", + # Non-standard models, defined internally + "FES2012", + "FES2014_extrapolated", + "FES2022_extrapolated", + "GOT5.6", + "GOT5.6_extrapolated", + "TPXO8-atlas-v1", # netCDF version + # Advanced ensemble model functionality + "ensemble", + ] + if not all(m in valid_models for m in models_requested): + raise ValueError( + f"One or more of the models requested {models_requested} is " + f"not valid. The following models are currently supported: " + f"{valid_models}", + ) + + # If ensemble modelling is requested, use a custom list of models + # for subsequent processing + if "ensemble" in models_requested: + print("Running ensemble tide modelling") + models_to_process = ( + ensemble_models + if ensemble_models is not None + else [ + "FES2014", + "TPXO9-atlas-v5", + "EOT20", + "HAMTIDE11", + "GOT4.10", + "FES2012", + "TPXO8-atlas-v1", + ] + ) + + # Otherwise, models to process are the same as those requested + else: + models_to_process = models_requested + + # Update tide modelling func to add default keyword arguments that + # are used for every iteration during parallel processing + iter_func = partial( + _model_tides, + directory=directory, + crs=crs, + crop=crop, + method=method, + extrapolate=extrapolate, + cutoff=np.inf if cutoff is None else cutoff, + output_units=output_units, + mode=mode, + ) + + # Ensure requested parallel splits is not smaller than number of points + parallel_splits = min(parallel_splits, len(x)) + + # Parallelise if either multiple models or multiple splits requested + if parallel & ((len(models_to_process) > 1) | (parallel_splits > 1)): + with ProcessPoolExecutor() as executor: + print(f"Modelling tides using {', '.join(models_to_process)} in parallel") + + # Optionally split lon/lat points into `splits_n` chunks + # that will be applied in parallel + x_split = np.array_split(x, parallel_splits) + y_split = np.array_split(y, parallel_splits) + + # Get every combination of models and lat/lon points, and + # extract as iterables that can be passed to `executor.map()` + # In "one-to-many" mode, pass entire set of timesteps to each + # parallel iteration by repeating timesteps by number of total + # parallel iterations. In "one-to-one" mode, split up + # timesteps into smaller parallel chunks too. + if mode == "one-to-many": + model_iters, x_iters, y_iters = zip( + *[(m, x_split[i], y_split[i]) for m in models_to_process for i in range(parallel_splits)], + ) + time_iters = [time] * len(model_iters) + elif mode == "one-to-one": + time_split = np.array_split(time, parallel_splits) + model_iters, x_iters, y_iters, time_iters = zip( + *[ + (m, x_split[i], y_split[i], time_split[i]) + for m in models_to_process + for i in range(parallel_splits) + ], + ) + + # Apply func in parallel, iterating through each input param + model_outputs = list( + tqdm( + executor.map(iter_func, model_iters, x_iters, y_iters, time_iters), + total=len(model_iters), + ), + ) + + # Model tides in series if parallelisation is off + else: + model_outputs = [] + + for model_i in models_to_process: + print(f"Modelling tides using {model_i}") + tide_df = iter_func(model_i, x, y, time) + model_outputs.append(tide_df) + + # Combine outputs into a single dataframe + tide_df = pd.concat(model_outputs, axis=0) + + # Optionally compute ensemble model and add to dataframe + if "ensemble" in models_requested: + ensemble_df = _ensemble_model(x, y, crs, tide_df, models_to_process, **ensemble_kwargs) + + # Update requested models with any custom ensemble models, then + # filter the dataframe to keep only models originally requested + models_requested = np.union1d(models_requested, ensemble_df.tide_model.unique()) + tide_df = pd.concat([tide_df, ensemble_df]).query("tide_model in @models_requested") + + # Optionally convert to a wide format dataframe with a tide model in + # each dataframe column + if output_format == "wide": + # Pivot into wide format with each time model as a column + print("Converting to a wide format dataframe") + tide_df = tide_df.pivot(columns="tide_model", values="tide_m") + + # If in 'one-to-one' mode, reindex using our input time/x/y + # values to ensure the output is sorted the same as our inputs + if mode == "one-to-one": + output_indices = pd.MultiIndex.from_arrays([time, x, y], names=["time", "x", "y"]) + tide_df = tide_df.reindex(output_indices) + + return tide_df + + +def _pixel_tides_resample( + tides_lowres, + ds, + resample_method="bilinear", + dask_chunks="auto", + dask_compute=True, +): + """Resamples low resolution tides modelled by `pixel_tides` into the + geobox (e.g. spatial resolution and extent) of the original higher + resolution satellite dataset. + + Parameters + ---------- + tides_lowres : xarray.DataArray + The low resolution tide modelling data array to be resampled. + ds : xarray.Dataset + The dataset whose geobox will be used as the template for the + resampling operation. This is typically the same satellite + dataset originally passed to `pixel_tides`. + resample_method : string, optional + The resampling method to use. Defaults to "bilinear"; valid + options include "nearest", "cubic", "min", "max", "average" etc. + dask_chunks : str or tuple, optional + Can be used to configure custom Dask chunking for the final + resampling step. The default of "auto" will automatically set + x/y chunks to match those in `ds` if they exist, otherwise will + set x/y chunks that cover the entire extent of the dataset. + For custom chunks, provide a tuple in the form `(y, x)`, e.g. + `(2048, 2048)`. + dask_compute : bool, optional + Whether to compute results of the resampling step using Dask. + If False, this will return `tides_highres` as a Dask array. + + Returns + ------- + tides_highres, tides_lowres : tuple of xr.DataArrays + In addition to `tides_lowres` (see above), a high resolution + array of tide heights will be generated matching the + exact spatial resolution and extent of `ds`. + + """ + # Determine spatial dimensions + y_dim, x_dim = ds.odc.spatial_dims + + # Convert array to Dask, using no chunking along y and x dims, + # and a single chunk for each timestep/quantile and tide model + tides_lowres_dask = tides_lowres.chunk({d: None if d in [y_dim, x_dim] else 1 for d in tides_lowres.dims}) + + # Automatically set Dask chunks for reprojection if set to "auto". + # This will either use x/y chunks if they exist in `ds`, else + # will cover the entire x and y dims) so we don't end up with + # hundreds of tiny x and y chunks due to the small size of + # `tides_lowres` (possible odc.geo bug?) + if dask_chunks == "auto": + if ds.chunks is not None: + if (y_dim in ds.chunks) & (x_dim in ds.chunks): + dask_chunks = (ds.chunks[y_dim], ds.chunks[x_dim]) + else: + dask_chunks = ds.odc.geobox.shape + else: + dask_chunks = ds.odc.geobox.shape + + # Reproject into the GeoBox of `ds` using odc.geo and Dask + tides_highres = tides_lowres_dask.odc.reproject( + how=ds.odc.geobox, + chunks=dask_chunks, + resampling=resample_method, + ).rename("tide_m") + + # Optionally process and load into memory with Dask + if dask_compute: + tides_highres.load() + + return tides_highres, tides_lowres + + +def pixel_tides( + ds, + times=None, + resample=True, + calculate_quantiles=None, + resolution=None, + buffer=None, + resample_method="bilinear", + model="FES2014", + dask_chunks="auto", + dask_compute=True, + **model_tides_kwargs, +): + """Obtain tide heights for each pixel in a dataset by modelling + tides into a low-resolution grid surrounding the dataset, + then (optionally) spatially resample this low-res data back + into the original higher resolution dataset extent and resolution. + + Parameters + ---------- + ds : xarray.Dataset + A dataset whose geobox (`ds.odc.geobox`) will be used to define + the spatial extent of the low resolution tide modelling grid. + times : pandas.DatetimeIndex or list of pandas.Timestamps, optional + By default, the function will model tides using the times + contained in the `time` dimension of `ds`. Alternatively, this + param can be used to model tides for a custom set of times + instead. For example: + `times=pd.date_range(start="2000", end="2001", freq="5h")` + resample : bool, optional + Whether to resample low resolution tides back into `ds`'s original + higher resolution grid. Set this to `False` if you do not want + low resolution tides to be re-projected back to higher resolution. + calculate_quantiles : list or np.array, optional + Rather than returning all individual tides, low-resolution tides + can be first aggregated using a quantile calculation by passing in + a list or array of quantiles to compute. For example, this could + be used to calculate the min/max tide across all times: + `calculate_quantiles=[0.0, 1.0]`. + resolution : int, optional + The desired resolution of the low-resolution grid used for tide + modelling. The default None will create a 5000 m resolution grid + if `ds` has a projected CRS (i.e. metre units), or a 0.05 degree + resolution grid if `ds` has a geographic CRS (e.g. degree units). + Note: higher resolutions do not necessarily provide better + tide modelling performance, as results will be limited by the + resolution of the underlying global tide model (e.g. 1/16th + degree / ~5 km resolution grid for FES2014). + buffer : int, optional + The amount by which to buffer the higher resolution grid extent + when creating the new low resolution grid. This buffering is + important as it ensures that ensure pixel-based tides are seamless + across dataset boundaries. This buffer will eventually be clipped + away when the low-resolution data is re-projected back to the + resolution and extent of the higher resolution dataset. To + ensure that at least two pixels occur outside of the dataset + bounds, the default None applies a 12000 m buffer if `ds` has a + projected CRS (i.e. metre units), or a 0.12 degree buffer if + `ds` has a geographic CRS (e.g. degree units). + resample_method : string, optional + If resampling is requested (see `resample` above), use this + resampling method when converting from low resolution to high + resolution pixels. Defaults to "bilinear"; valid options include + "nearest", "cubic", "min", "max", "average" etc. + model : string or list of strings + The tide model or a list of models used to model tides, as + supported by the `pyTMD` Python package. Options include: + - "FES2014" (default; pre-configured on DEA Sandbox) + - "FES2022" + - "TPXO8-atlas" + - "TPXO9-atlas-v5" + - "EOT20" + - "HAMTIDE11" + - "GOT4.10" + dask_chunks : str or tuple, optional + Can be used to configure custom Dask chunking for the final + resampling step. The default of "auto" will automatically set + x/y chunks to match those in `ds` if they exist, otherwise will + set x/y chunks that cover the entire extent of the dataset. + For custom chunks, provide a tuple in the form `(y, x)`, e.g. + `(2048, 2048)`. + dask_compute : bool, optional + Whether to compute results of the resampling step using Dask. + If False, this will return `tides_highres` as a Dask array. + **model_tides_kwargs : + Optional parameters passed to the `dea_tools.coastal.model_tides` + function. Important parameters include "directory" (used to + specify the location of input tide modelling files) and "cutoff" + (used to extrapolate modelled tides away from the coast; if not + specified here, cutoff defaults to `np.inf`). + + Returns + ------- + If `resample` is False: + + tides_lowres : xr.DataArray + A low resolution data array giving either tide heights every + timestep in `ds` (if `times` is None), tide heights at every + time in `times` (if `times` is not None), or tide height quantiles + for every quantile provided by `calculate_quantiles`. + + If `resample` is True: + + tides_highres, tides_lowres : tuple of xr.DataArrays + In addition to `tides_lowres` (see above), a high resolution + array of tide heights will be generated that matches the + exact spatial resolution and extent of `ds`. This will contain + either tide heights every timestep in `ds` (if `times` is None), + tide heights at every time in `times` (if `times` is not None), + or tide height quantiles for every quantile provided by + `calculate_quantiles`. + + """ + from odc.geo.geobox import GeoBox + + # First test if no time dimension and nothing passed to `times` + if ("time" not in ds.dims) & (times is None): + raise ValueError( + "`ds` does not contain a 'time' dimension. Times are required " + "for modelling tides: please pass in a set of custom tides " + "using the `times` parameter. For example: " + "`times=pd.date_range(start='2000', end='2001', freq='5h')`", + ) + + # If custom times are provided, convert them to a consistent + # pandas.DatatimeIndex format + if times is not None: + if isinstance(times, list): + time_coords = pd.DatetimeIndex(times) + elif isinstance(times, pd.Timestamp): + time_coords = pd.DatetimeIndex([times]) + else: + time_coords = times + + # Otherwise, use times from `ds` directly + else: + time_coords = ds.coords["time"] + + # Set defaults passed to `model_tides` + model_tides_kwargs.setdefault("cutoff", np.inf) + + # Standardise model into a list for easy handling + model = [model] if isinstance(model, str) else model + + # Test if no time dimension and nothing passed to `times` + if ("time" not in ds.dims) & (times is None): + raise ValueError( + "`ds` does not contain a 'time' dimension. Times are required " + "for modelling tides: please pass in a set of custom tides " + "using the `times` parameter. For example: " + "`times=pd.date_range(start='2000', end='2001', freq='5h')`", + ) + + # If custom times are provided, convert them to a consistent + # pandas.DatatimeIndex format + if times is not None: + if isinstance(times, list): + time_coords = pd.DatetimeIndex(times) + elif isinstance(times, pd.Timestamp): + time_coords = pd.DatetimeIndex([times]) + else: + time_coords = times + + # Otherwise, use times from `ds` directly + else: + time_coords = ds.coords["time"] + + # Determine spatial dimensions + y_dim, x_dim = ds.odc.spatial_dims + + # Determine resolution and buffer, using different defaults for + # geographic (i.e. degrees) and projected (i.e. metres) CRSs: + crs_units = ds.odc.geobox.crs.units[0][0:6] + if ds.odc.geobox.crs.geographic: + if resolution is None: + resolution = 0.05 + elif resolution > 360: + raise ValueError( + f"A resolution of greater than 360 was " + f"provided, but `ds` has a geographic CRS " + f"in {crs_units} units. Did you accidently " + f"provide a resolution in projected " + f"(i.e. metre) units?", + ) + if buffer is None: + buffer = 0.12 + else: + if resolution is None: + resolution = 5000 + elif resolution < 1: + raise ValueError( + f"A resolution of less than 1 was provided, " + f"but `ds` has a projected CRS in " + f"{crs_units} units. Did you accidently " + f"provide a resolution in geographic " + f"(degree) units?", + ) + if buffer is None: + buffer = 12000 + + # Raise error if resolution is less than dataset resolution + dataset_res = ds.odc.geobox.resolution.x + if resolution < dataset_res: + raise ValueError( + f"The resolution of the low-resolution tide " + f"modelling grid ({resolution:.2f}) is less " + f"than `ds`'s pixel resolution ({dataset_res:.2f}). " + f"This can cause extremely slow tide modelling " + f"performance. Please select provide a resolution " + f"greater than {dataset_res:.2f} using " + f"`pixel_tides`'s 'resolution' parameter.", + ) + + # Create a new reduced resolution tide modelling grid after + # first buffering the grid + print(f"Creating reduced resolution {resolution} x {resolution} {crs_units} tide modelling array") + buffered_geobox = ds.odc.geobox.buffered(buffer) + rescaled_geobox = GeoBox.from_bbox(bbox=buffered_geobox.boundingbox, resolution=resolution) + rescaled_ds = odc.geo.xr.xr_zeros(rescaled_geobox) + + # Flatten grid to 1D, then add time dimension + flattened_ds = rescaled_ds.stack(z=(x_dim, y_dim)) + flattened_ds = flattened_ds.expand_dims(dim={"time": time_coords.values}) + + # Model tides in parallel, returning a pandas.DataFrame + tide_df = model_tides( + x=flattened_ds[x_dim], + y=flattened_ds[y_dim], + time=flattened_ds.time, + crs=f"EPSG:{ds.odc.geobox.crs.epsg}", + model=model, + **model_tides_kwargs, + ) + + # Convert our pandas.DataFrame tide modelling outputs to xarray + tides_lowres = ( + # Rename x and y dataframe indexes to match x and y xarray dims + tide_df.rename_axis(["time", x_dim, y_dim]) + # Add tide model column to dataframe indexes so we can convert + # our dataframe to a multidimensional xarray + .set_index("tide_model", append=True) + # Convert to xarray and select our tide modelling xr.DataArray + .to_xarray() + .tide_m + # Re-index and transpose into our input coordinates and dim order + .reindex_like(rescaled_ds) + .transpose("tide_model", "time", y_dim, x_dim) + ) + + # Optionally calculate and return quantiles rather than raw data. + # Set dtype to dtype of the input data as quantile always returns + # float64 (memory intensive) + if calculate_quantiles is not None: + print("Computing tide quantiles") + tides_lowres = tides_lowres.quantile(q=calculate_quantiles, dim="time").astype(tides_lowres.dtype) + + # If only one tidal model exists, squeeze out "tide_model" dim + if len(tides_lowres.tide_model) == 1: + tides_lowres = tides_lowres.squeeze("tide_model") + + # Ensure CRS is present before we apply any resampling + tides_lowres = tides_lowres.odc.assign_crs(ds.odc.geobox.crs) + + # Reproject into original high resolution grid + if resample: + print("Reprojecting tides into original array") + tides_highres, tides_lowres = _pixel_tides_resample( + tides_lowres, + ds, + resample_method, + dask_chunks, + dask_compute, + ) + return tides_highres, tides_lowres + + print("Returning low resolution tide array") + return tides_lowres + + +if __name__ == "__main__": # pragma: no cover + pass diff --git a/eo_tides/stats.py b/eo_tides/stats.py new file mode 100644 index 0000000..53cbf89 --- /dev/null +++ b/eo_tides/stats.py @@ -0,0 +1,15 @@ +def tide_stats(a): + """ + Test function. + + Parameters + ---------- + a : int + Test + + Returns + ------- + Test + + """ + return a diff --git a/eo_tides/utils.py b/eo_tides/utils.py new file mode 100644 index 0000000..c9a3531 --- /dev/null +++ b/eo_tides/utils.py @@ -0,0 +1,144 @@ +import numpy as np +from scipy.spatial import cKDTree as KDTree + + +def idw( + input_z, + input_x, + input_y, + output_x, + output_y, + p=1, + k=10, + max_dist=None, + k_min=1, + epsilon=1e-12, +): + """Perform Inverse Distance Weighting (IDW) interpolation. + + This function performs fast IDW interpolation by creating a KDTree + from the input coordinates then uses it to find the `k` nearest + neighbors for each output point. Weights are calculated based on the + inverse distance to each neighbor, with weights descreasing with + increasing distance. + + Code inspired by: https://github.com/DahnJ/REM-xarray + + Parameters + ---------- + input_z : array-like + Array of values at the input points. This can be either a + 1-dimensional array, or a 2-dimensional array where each column + (axis=1) represents a different set of values to be interpolated. + input_x : array-like + Array of x-coordinates of the input points. + input_y : array-like + Array of y-coordinates of the input points. + output_x : array-like + Array of x-coordinates where the interpolation is to be computed. + output_y : array-like + Array of y-coordinates where the interpolation is to be computed. + p : int or float, optional + Power function parameter defining how rapidly weightings should + decrease as distance increases. Higher values of `p` will cause + weights for distant points to decrease rapidly, resulting in + nearby points having more influence on predictions. Defaults to 1. + k : int, optional + Number of nearest neighbors to use for interpolation. `k=1` is + equivalent to "nearest" neighbour interpolation. Defaults to 10. + max_dist : int or float, optional + Restrict neighbouring points to less than this distance. + By default, no distance limit is applied. + k_min : int, optional + If `max_dist` is provided, some points may end up with less than + `k` nearest neighbours, potentially producing less reliable + interpolations. Set `k_min` to set any points with less than + `k_min` neighbours to NaN. Defaults to 1. + epsilon : float, optional + Small value added to distances to prevent division by zero + errors in the case that output coordinates are identical to + input coordinates. Defaults to 1e-12. + + Returns + ------- + interp_values : numpy.ndarray + Interpolated values at the output coordinates. If `input_z` is + 1-dimensional, `interp_values` will also be 1-dimensional. If + `input_z` is 2-dimensional, `interp_values` will have the same + number of rows as `input_z`, with each column (axis=1) + representing interpolated values for one set of input data. + + Examples + -------- + >>> input_z = [1, 2, 3, 4, 5] + >>> input_x = [0, 1, 2, 3, 4] + >>> input_y = [0, 1, 2, 3, 4] + >>> output_x = [0.5, 1.5, 2.5] + >>> output_y = [0.5, 1.5, 2.5] + >>> idw(input_z, input_x, input_y, output_x, output_y, k=2) + array([1.5, 2.5, 3.5]) + + """ + # Convert to numpy arrays + input_x = np.atleast_1d(input_x) + input_y = np.atleast_1d(input_y) + input_z = np.atleast_1d(input_z) + output_x = np.atleast_1d(output_x) + output_y = np.atleast_1d(output_y) + + # Verify input and outputs have matching lengths + if not (input_z.shape[0] == len(input_x) == len(input_y)): + raise ValueError("All of `input_z`, `input_x` and `input_y` must be the same length.") + if not (len(output_x) == len(output_y)): + raise ValueError("Both `output_x` and `output_y` must be the same length.") + + # Verify k is smaller than total number of points, and non-zero + if k > input_z.shape[0]: + raise ValueError( + f"The requested number of nearest neighbours (`k={k}`) " + f"is smaller than the total number of points ({input_z.shape[0]}).", + ) + if k == 0: + raise ValueError("Interpolation based on `k=0` nearest neighbours is not valid.") + + # Create KDTree to efficiently find nearest neighbours + points_xy = np.column_stack((input_y, input_x)) + tree = KDTree(points_xy) + + # Determine nearest neighbours and distances to each + grid_stacked = np.column_stack((output_y, output_x)) + distances, indices = tree.query(grid_stacked, k=k, workers=-1) + + # If k == 1, add an additional axis for consistency + if k == 1: + distances = distances[..., np.newaxis] + indices = indices[..., np.newaxis] + + # Add small epsilon to distances to prevent division by zero errors + # if output coordinates are the same as input coordinates + distances = np.maximum(distances, epsilon) + + # Set distances above max to NaN if specified + if max_dist is not None: + distances[distances > max_dist] = np.nan + + # Calculate weights based on distance to k nearest neighbours. + weights = 1 / np.power(distances, p) + weights = weights / np.nansum(weights, axis=1).reshape(-1, 1) + + # 1D case: Compute weighted sum of input_z values for each output point + if input_z.ndim == 1: + interp_values = np.nansum(weights * input_z[indices], axis=1) + + # 2D case: Compute weighted sum for each set of input_z values + # weights[..., np.newaxis] adds a dimension for broadcasting + else: + interp_values = np.nansum( + weights[..., np.newaxis] * input_z[indices], + axis=1, + ) + + # Set any points with less than `k_min` valid weights to NaN + interp_values[np.isfinite(weights).sum(axis=1) < k_min] = np.nan + + return interp_values diff --git a/eo_tides/validation.py b/eo_tides/validation.py new file mode 100644 index 0000000..6036f61 --- /dev/null +++ b/eo_tides/validation.py @@ -0,0 +1,325 @@ +import datetime +import glob +import warnings +from math import sqrt +from numbers import Number + +import geopandas as gpd +import pandas as pd +from odc.geo.geom import BoundingBox +from pandas.tseries.offsets import MonthBegin, MonthEnd, YearBegin, YearEnd +from scipy import stats +from shapely.geometry import Point +from sklearn.metrics import mean_absolute_error, mean_squared_error + + +def eval_metrics(x, y, round=3, all_regress=False): + """ + Calculate a set of common statistical metrics + based on two input actual and predicted vectors. + + These include: + + * Pearson correlation + * Root Mean Squared Error + * Mean Absolute Error + * R-squared + * Bias + * Linear regression parameters (slope, p-value, intercept, standard error) + + Parameters + ---------- + x : numpy.array + An array providing "actual" variable values. + y : numpy.array + An array providing "predicted" variable values. + round : int + Number of decimal places to round each metric + to. Defaults to 3. + all_regress : bool + Whether to return linear regression p-value, + intercept and standard error (in addition to + only regression slope). Defaults to False. + + Returns + ------- + pandas.Series + A `pd.Series` containing all calculated metrics. + """ + + # Create dataframe to drop na + xy_df = pd.DataFrame({"x": x, "y": y}).dropna() + + # Compute linear regression + lin_reg = stats.linregress(x=xy_df.x, y=xy_df.y) + + # Calculate statistics + stats_dict = { + "Correlation": xy_df.corr().iloc[0, 1], + "RMSE": sqrt(mean_squared_error(xy_df.x, xy_df.y)), + "MAE": mean_absolute_error(xy_df.x, xy_df.y), + "R-squared": lin_reg.rvalue**2, + "Bias": (xy_df.y - xy_df.x).mean(), + "Regression slope": lin_reg.slope, + } + + # Additional regression params + if all_regress: + stats_dict.update({ + "Regression p-value": lin_reg.pvalue, + "Regression intercept": lin_reg.intercept, + "Regression standard error": lin_reg.stderr, + }) + + # Return as + return pd.Series(stats_dict).round(round) + + +def round_date_strings(date, round_type="end"): + """ + Round a date string up or down to the start or end of a given time + period. + + Parameters + ---------- + date : str + Date string of variable precision (e.g. "2020", "2020-01", + "2020-01-01"). + round_type : str, optional + Type of rounding to perform. Valid options are "start" or "end". + If "start", date is rounded down to the start of the time period. + If "end", date is rounded up to the end of the time period. + Default is "end". + + Returns + ------- + date_rounded : str + The rounded date string. + + Examples + -------- + >>> round_date_strings('2020') + '2020-12-31 00:00:00' + + >>> round_date_strings('2020-01', round_type='start') + '2020-01-01 00:00:00' + + >>> round_date_strings('2020-01', round_type='end') + '2020-01-31 00:00:00' + """ + + # Determine precision of input date string + date_segments = len(date.split("-")) + + # If provided date has no "-", treat it as having year precision + if date_segments == 1 and round_type == "start": + date_rounded = str(pd.to_datetime(date) + YearBegin(0)) + elif date_segments == 1 and round_type == "end": + date_rounded = str(pd.to_datetime(date) + YearEnd(0)) + + # If provided date has one "-", treat it as having month precision + elif date_segments == 2 and round_type == "start": + date_rounded = str(pd.to_datetime(date) + MonthBegin(0)) + elif date_segments == 2 and round_type == "end": + date_rounded = str(pd.to_datetime(date) + MonthEnd(0)) + + # If more than one "-", then return date as-is + elif date_segments > 2: + date_rounded = date + + return date_rounded + + +def _load_gauge_metadata(metadata_path): + # Load metadata + metadata_df = pd.read_csv(metadata_path) + metadata_df.columns = ( + metadata_df.columns.str.replace(" ", "_", regex=False) + .str.replace("(", "", regex=False) + .str.replace(")", "", regex=False) + .str.replace("/", "_", regex=False) + .str.lower() + ) + metadata_df = metadata_df.set_index("site_code") + + # Convert metadata to GeoDataFrame + metadata_gdf = gpd.GeoDataFrame( + data=metadata_df, + geometry=gpd.points_from_xy(metadata_df.longitude, metadata_df.latitude), + crs="EPSG:4326", + ) + + return metadata_df, metadata_gdf + + +def _load_gesla_dataset(site, path, na_value): + gesla_df = ( + pd.read_csv( + path, + skiprows=41, + names=["date", "time", "sea_level", "qc_flag", "use_flag"], + sep="\s+", + parse_dates=[[0, 1]], + index_col=0, + na_values=na_value, + ) + .rename_axis("time") + .assign(site_code=site) + ) + + return gesla_df + + +def _nearest_row(gdf, x, y, max_distance=None): + # Create a point to find the nearest neighbor for + target_point = gpd.GeoDataFrame({"geometry": [Point(x, y)]}, crs="EPSG:4326") + + # Use sjoin_nearest to find the closest point + return gpd.sjoin_nearest(target_point, gdf, how="left", max_distance=max_distance) + + +def load_gauge_gesla( + x=None, + y=None, + site_code=None, + time=("2018", "2020"), + max_distance=None, + correct_mean=False, + filter_use_flag=True, + site_metadata=True, + data_path="/gdata1/data/sea_level/gesla/", + metadata_path="/gdata1/data/sea_level/GESLA3_ALL 2.csv", +): + """ + Load and process all available Global Extreme Sea Level Analysis + (GESLA) tide gauge data with an `x, y, time` spatiotemporal query, + or from a list of specific tide gauges. + + Can optionally filter by gauge quality and append detailed gauge metadata. + + Modified from original code in . + + Parameters + ---------- + x, y : numeric or list/tuple, optional + Coordinates (in degrees longitude, latitude) used to load GESLA + tide gauge observations. If provided as singular values + (e.g. `x=150, y=-32`), then the nearest tide gauge will be returned. + If provided as a list or tuple (e.g. `x=(150, 152), y=(-32, -30)`), + then all gauges within the provided bounding box will be loaded. + Leave as `None` to return all available gauges, or if providing a + list of site codes using `site_code`. + site_code : str or list of str, optional + GESLA site code(s) for which to load data (e.g. `site_code="62650"`). + If `site_code` is provided, `x` and `y` will be ignored. + time : tuple or list of str, optional + Time range to consider, given as a tuple of start and end dates, + e.g. `time=("2020", "2021")`. The default of None will return all + tide observations from the year 1800 onward. + max_distance : numeric, optional + Optional max distance within which to return the nearest tide gauge + when `x` and `y` are provided as singular coordinates. Defaults to + None, which will always return a tide gauge no matter how far away + it is located from `x` and `y`. + correct_mean : bool, optional + Whether to correct sea level measurements to a standardised mean + sea level by subtracting the mean of all observed sea level + observations. This can be useful when GESLA tide heights come + from different or unknown tide datums. Note: the observed mean + sea level calculated here may differ from true long-term/ + astronomical Mean Sea Level (MSL) datum. + filter_use_flag : bool, optional + Whether to filter out low quality observations with a "use_flag" + value of 0 (do not use). Defaults to True. + site_metadata : bool, optional + Whether to add tide gauge station metadata as additional columns + in the output DataFrame. Defaults to True. + data_path : str, optional + Path to the raw GESLA data files. Default is + `/gdata1/data/sea_level/gesla/`. + metadata_path : str, optional + Path to the GESLA station metadata file. + Default is `/gdata1/data/sea_level/GESLA3_ALL 2.csv`. + + Returns + ------- + pd.DataFrame + Processed GESLA data as a DataFrame with columns including: + + - "time": Timestamps, + - "sea_level": Observed sea level (m), + - "qc_flag": Observed sea level QC flag, + - "use_flag": Use-in-analysis flag (1 = use, 0 = do not use), + + ...and additional columns from station metadata. + """ + # Load tide gauge metadata + metadata_df, metadata_gdf = _load_gauge_metadata(metadata_path) + + # Use supplied site codes if available + if site_code is not None: + site_code = [site_code] if not isinstance(site_code, list) else site_code + + # If x and y are tuples, use xy bounds to identify sites + elif isinstance(x, (tuple, list)) & isinstance(y, (tuple, list)): + bbox = BoundingBox.from_xy(x, y) + site_code = metadata_gdf.cx[bbox.left : bbox.right, bbox.top : bbox.bottom].index + + # If x and y are single numbers, select nearest row + elif isinstance(x, Number) & isinstance(y, Number): + site_code = _nearest_row(metadata_gdf, x, y, max_distance).site_code + + # Raise exception if no valid tide gauges are found + if site_code.isnull().all(): + raise Exception(f"No tide gauge found within {max_distance} degrees of {x}, {y}.") + + # Otherwise if all are None, return all available site codes + elif (site_code is None) & (x is None) & (y is None): + site_code = metadata_df.index.to_list() + + else: + raise TypeError( + "`x` and `y` must be provided as either singular coordinates (e.g. `x=150`), or as a tuple bounding box (e.g. `x=(150, 152)`)." + ) + + # Prepare times + if time is None: + time = ["1800", str(datetime.datetime.now().year)] + time = [time] if not isinstance(time, (list, tuple)) else time + start_time = round_date_strings(time[0], round_type="start") + end_time = round_date_strings(time[-1], round_type="end") + + # Identify paths to load and nodata values for each site + metadata_df["file_name"] = data_path + metadata_df["file_name"] + paths_na = metadata_df.loc[site_code, ["file_name", "null_value"]] + + # Load and combine into a single dataframe + data_df = ( + pd.concat([_load_gesla_dataset(s, p, na_value=na) for s, p, na in paths_na.itertuples()]) + .sort_index() + .loc[slice(start_time, end_time)] + .reset_index() + .set_index("site_code") + ) + + # Optionally filter by use flag column + if filter_use_flag: + data_df = data_df.loc[data_df.use_flag == 1] + + # Optionally insert metadata into dataframe + if site_metadata: + data_df[metadata_df.columns] = metadata_df.loc[site_code] + + # Add time to index and remove duplicates + data_df = data_df.set_index("time", append=True) + duplicates = data_df.index.duplicated() + if duplicates.sum() > 0: + warnings.warn("Duplicate timestamps were removed.") + data_df = data_df.loc[~duplicates] + + # Remove observed mean sea level if requested + if correct_mean: + data_df["sea_level"] = data_df["sea_level"].sub(data_df.groupby("site_code")["sea_level"].transform("mean")) + + # Return data + return data_df diff --git a/mkdocs.yml b/mkdocs.yml new file mode 100644 index 0000000..c461dca --- /dev/null +++ b/mkdocs.yml @@ -0,0 +1,85 @@ +site_name: eo-tides +repo_url: https://github.com/robbibt/eo-tides +site_url: https://robbibt.github.io/eo-tides +site_description: A sample docs page +site_author: Robbi Bishop-Taylor +edit_uri: edit/main/docs/ +repo_name: robbibt/eo-tides +copyright: Maintained by Robbi Bishop-Taylor (@satellitesci). + +nav: + - Home: index.md + - Installation: install.md + - Setting up tide models: setup.md + - Usage examples: + # - Overview: usage.md + - notebooks/Model_tides.ipynb + - notebooks/Tidal_modelling.ipynb + - API reference: api.md + +plugins: + - search + - mkdocs-jupyter + - mkdocstrings: + handlers: + python: + setup_commands: + - import sys + - sys.path.append('../') + options: + docstring_style: numpy + # docstring_options: + # ignore_init_summary: true + # docstring_section_style: list + # filters: ["!^_"] + # heading_level: 1 + # inherited_members: true + # merge_init_into_class: true + parameter_headings: true + separate_signature: true + line_length: 60 + show_root_heading: true + # show_category_heading: true + # show_root_full_path: true + # show_root_members_full_path: true + # show_signature_annotations: true + show_symbol_type_heading: true + show_symbol_type_toc: true + # group_by_category: true + # signature_crossrefs: true + summary: true + +theme: + name: material + feature: + tabs: true + palette: + - media: "(prefers-color-scheme: light)" + scheme: default + primary: white + accent: deep orange + toggle: + icon: material/brightness-7 + name: Switch to dark mode + - media: "(prefers-color-scheme: dark)" + scheme: slate + primary: black + accent: deep orange + toggle: + icon: material/brightness-4 + name: Switch to light mode + icon: + repo: fontawesome/brands/github + +extra: + social: + - icon: fontawesome/brands/github + link: https://github.com/robbibt/eo-tides + - icon: fontawesome/brands/python + link: https://pypi.org/project/eo-tides + +markdown_extensions: + - toc: + permalink: true + - pymdownx.arithmatex: + generic: true diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..03d8400 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,102 @@ +[project] +name = "eo-tides" +version = "0.0.1" +description = "Placeholder" +authors = [{ name = "Robbi Bishop-Taylor", email = "Robbi.BishopTaylor@ga.gov.au" }] +readme = "README.md" +keywords = ['python'] +requires-python = ">=3.9" +dependencies = [ + "geopandas", + "numpy", + "odc-geo[xr]", + "pandas", + "pyproj", + "pyTMD==2.1.6", + # "pyTMD@git+https://github.com/tsutterley/pyTMD", + "scikit-learn", + "scipy", + "shapely", + "tqdm", +] + +[project.urls] +Homepage = "https://GeoscienceAustralia.github.io/eo-tides/" +Repository = "https://github.com/GeoscienceAustralia/eo-tides" +Documentation = "https://GeoscienceAustralia.github.io/eo-tides/" + +[project.optional-dependencies] +notebooks = [ + "odc-stac", + "pystac-client", + "folium", + "matplotlib", +] + +[tool.uv] +dev-dependencies = [ + "pytest>=7.2.0", + "nbval>=0.11.0", + "pre-commit>=2.20.0", + "tox>=3.25.1", + "deptry>=0.20.0", + "mypy>=0.991", + "pytest-cov>=4.0.0", + "ruff>=0.0.235", + "mkdocs>=1.4.2", + "mkdocs-material>=8.5.10", + "mkdocs-jupyter>=0.25.0", + "mkdocstrings[python]>=0.19.0", + "black", + "odc-stac", + "pystac-client", +] + +[build-system] +requires = ["setuptools >= 61.0"] +build-backend = "setuptools.build_meta" + +[tool.mypy] +files = ["eo_tides"] +python_version = "3.10" +ignore_missing_imports = "True" +allow_redefinition = "True" + +[tool.pytest.ini_options] +testpaths = ["tests"] + +[tool.ruff] +target-version = "py310" +line-length = 120 +fix = true +lint.ignore = [ + # LineTooLong + "E501", + # DoNotAssignLambda + "E731", + # Unused import + "F401" +] + +[tool.ruff.format] +preview = true + +[tool.ruff.lint.per-file-ignores] +"tests/*" = ["S101"] + +[tool.deptry.per_rule_ignores] +DEP002 = [ + "matplotlib", + "folium", + "pystac-client", +] + +[tool.coverage.report] +skip_empty = true + +[tool.coverage.run] +branch = true +source = ["eo_tides"] + +[tool.setuptools] +py-modules = ["eo_tides"] diff --git a/tests/data/GESLA3_ALL 2.csv b/tests/data/GESLA3_ALL 2.csv new file mode 100644 index 0000000..0580933 --- /dev/null +++ b/tests/data/GESLA3_ALL 2.csv @@ -0,0 +1,4 @@ +FILE NAME,SITE NAME,SITE CODE,COUNTRY,CONTRIBUTOR (ABBREVIATED),CONTRIBUTOR (FULL),CONTRIBUTOR WEBSITE,CONTRIBUTOR CONTACT,ORGINATOR,ORIGINATOR WEBSITE,ORIGINATOR CONTACT,LATITUDE,LONGITUDE,COORDINATE SYSTEM,START DATE/TIME,END DATE/TIME,NUMBER OF YEARS,TIME ZONE HOURS,DATUM INFORMATION,INSTRUMENT,PRECISION,NULL VALUE,GAUGE TYPE,OVERALL RECORD QUALITY +sydney_fort_denison-60370-aus-bom,Sydney_Fort_Denison,60370,AUS,BOM,Bureau of Meteorology,http://www.bom.gov.au/oceanography/projects/ntc/monthly/,tides@bom.gov.au,Australian Bureau of Meteorology and Port Authority of New South Wales,https://www.portauthoritynsw.com.au,tides@bom.gov.au,-33.8547,151.2258,GDA,31/05/1914 14:00,31/12/2019 23:00,105,0,Chart Datum / Lowest Astronomical Tide,Unspecified,Unspecified,-99.9999,Coastal,No obvious issues +broome-62650-aus-bom,Broome,62650,AUS,BOM,Bureau of Meteorology,http://www.bom.gov.au/oceanography/projects/ntc/monthly/,tides@bom.gov.au,Australian Bureau of Meteorology,http://www.bom.gov.au/oceanography/projects/ntc/monthly/,tides@bom.gov.au,-18.0008,122.2186,GDA,2/07/1966 0:00,31/12/2019 23:00,51,0,Chart Datum / Lowest Astronomical Tide,Unspecified,Unspecified,-99.9999,Coastal,No obvious issues +san_diego_ca-569a-usa-uhslc,San_Diego_CA,569A,USA,UHSLC,University of Hawaii Sea Level Center,https://uhslc.soest.hawaii.edu,philiprt@hawaii.edu, National Ocean Service (NOS) National Oceanic and Atmospheric Administration (NOAA) USA ,Unspecified,Unspecified,32.713,-117.173,Unspecified,21/01/1906 8:00,31/12/2018 23:00,113,0,Unspecified,Unspecified,Unspecified,-99.9999,Coastal,No obvious issues diff --git a/tests/data/IDO71013_2020.csv b/tests/data/IDO71013_2020.csv new file mode 100644 index 0000000..0063ca0 --- /dev/null +++ b/tests/data/IDO71013_2020.csv @@ -0,0 +1,8785 @@ + Date & UTC Time,Sea Level,Water Temperature,Air Temperature,Barometric Pressure,Residuals,Adjusted Residuals,Wind Direction,Wind Gust,Wind Speed,Broome +01-Jan-2020 00:00, 2.290,-9999 ,-9999 , 1009.7,-0.292,-0.320,-9999,-9999 ,-9999 +01-Jan-2020 01:00, 2.859,-9999 ,-9999 , 1009.3,-0.130,-0.165,-9999,-9999 ,-9999 +01-Jan-2020 02:00, 4.027,-9999 ,-9999 , 1009.0,-0.033,-0.072,-9999,-9999 ,-9999 +01-Jan-2020 03:00, 5.359,-9999 ,-9999 , 1008.3, 0.010,-0.033,-9999,-9999 ,-9999 +01-Jan-2020 04:00, 6.611,-9999 ,-9999 , 1007.4,-0.009,-0.059,-9999,-9999 ,-9999 +01-Jan-2020 05:00, 7.594,-9999 ,-9999 , 1006.7,-0.071,-0.130,-9999,-9999 ,-9999 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06:00, 6.888, 28.9, 32.0, 1009.0,-0.179,-0.212, 194, 4.0, 2.9 +01-May-2020 07:00, 7.061, 28.9, 32.1, 1008.6,-0.193,-0.236, 214, 5.1, 3.1 +01-May-2020 08:00, 6.872, 29.6, 31.5, 1008.6,-0.183,-0.230, 227, 6.3, 5.4 +01-May-2020 09:00, 6.413, 29.8, 30.7, 1009.1,-0.117,-0.163, 227, 6.8, 5.2 +01-May-2020 10:00, 5.823, 29.8, 30.4, 1009.9,-0.060,-0.100, 213, 7.5, 5.9 +01-May-2020 11:00, 5.199, 29.8, 30.4, 1010.7,-0.036,-0.068, 181, 7.1, 5.3 +01-May-2020 12:00, 4.648, 29.7, 30.0, 1011.2,-0.030,-0.055, 153, 9.4, 7.8 +01-May-2020 13:00, 4.288, 29.4, 29.9, 1011.2,-0.040,-0.060, 135, 10.8, 8.0 +01-May-2020 14:00, 4.214, 29.2, 29.2, 1011.1,-0.067,-0.088, 120, 12.4, 10.0 +01-May-2020 15:00, 4.417, 29.1, 28.7, 1010.9,-0.120,-0.141, 116, 12.6, 10.2 +01-May-2020 16:00, 4.778, 29.3, 27.9, 1010.7,-0.163,-0.187, 106, 12.2, 8.9 +01-May-2020 17:00, 5.209, 29.6, 27.2, 1010.5,-0.196,-0.221, 101, 12.2, 9.1 +01-May-2020 18:00, 5.640, 29.6, 26.7, 1010.0,-0.232,-0.260, 97, 11.8, 9.5 +01-May-2020 19:00, 5.985, 29.4, 26.5, 1009.9,-0.275,-0.308, 93, 13.2, 10.1 +01-May-2020 20:00, 6.189, 29.5, 26.4, 1009.8,-0.273,-0.307, 91, 13.4, 11.0 +01-May-2020 21:00, 6.174, 29.4, 26.0, 1010.2,-0.207,-0.240, 84, 13.4, 10.1 +01-May-2020 22:00, 5.934, 28.1, 25.6, 1010.8,-0.153,-0.183, 88, 11.7, 10.0 +01-May-2020 23:00, 5.585, 28.4, 25.2, 1011.5,-0.125,-0.149, 87, 13.9, 10.8 +02-May-2020 00:00, 5.264, 27.8, 25.9, 1011.8,-0.083,-0.100, 89, 13.8, 11.2 +02-May-2020 01:00, 5.020, 27.5, 27.0, 1011.8,-0.044,-0.059, 80, 14.4, 11.0 +02-May-2020 02:00, 4.899, 27.1, 28.2, 1011.9,-0.023,-0.037, 75, 13.2, 8.9 +02-May-2020 03:00, 4.954, 27.4, 29.8, 1011.0,-0.021,-0.035, 87, 10.4, 6.9 +02-May-2020 04:00, 5.177, 27.1, 31.2, 1010.2,-0.033,-0.056, 84, 7.7, 3.0 +02-May-2020 05:00, 5.504, 27.9, 33.6, 1009.4,-0.071,-0.102, 92, 4.9, 2.7 +02-May-2020 06:00, 5.896, 28.4, 32.7, 1008.7,-0.087,-0.126, 235, 3.6, 2.4 +02-May-2020 07:00, 6.235, 28.5, 30.0, 1008.6,-0.109,-0.154, 253, 5.8, 4.3 +02-May-2020 08:00, 6.426, 28.7, 29.5, 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12.4, 10.4 +02-May-2020 22:00, 6.269, 28.9, 24.3, 1013.0,-0.182,-0.189, 80, 13.5, 11.2 +02-May-2020 23:00, 6.346, 28.9, 24.1, 1014.0,-0.159,-0.161, 75, 13.5, 10.5 +03-May-2020 00:00, 6.205, 28.8, 24.6, 1014.2,-0.168,-0.160, 80, 14.0, 9.9 +03-May-2020 01:00, 5.927, 28.5, 26.6, 1014.1,-0.162,-0.153, 84, 13.3, 10.8 +03-May-2020 02:00, 5.594, 27.7, 28.0, 1013.8,-0.090,-0.082, 82, 12.3, 8.6 +03-May-2020 03:00, 5.256, 27.3, 29.4, 1012.8, 0.014, 0.019, 82, 11.2, 8.8 +03-May-2020 04:00, 4.905, 27.5, 30.6, 1011.7, 0.036, 0.031, 96, 9.4, 6.5 +03-May-2020 05:00, 4.667, 27.5, 31.9, 1010.8,-0.041,-0.058, 123, 7.9, 4.3 +03-May-2020 06:00, 4.737, 27.7, 32.9, 1010.0,-0.079,-0.104, 140, 5.4, 2.7 +03-May-2020 07:00, 5.113,-9999 , 34.7, 1009.7,-0.024,-0.057, 155, 3.6, 1.3 +03-May-2020 08:00, 5.604,-9999 , 31.4, 1009.9,-0.041,-0.076, 214, 4.1, 3.5 +03-May-2020 09:00, 6.124,-9999 , 31.9, 1010.5,-0.094,-0.127, 213, 4.4, 1.4 +03-May-2020 10:00, 6.554,-9999 , 28.7, 1011.5,-0.121,-0.147, 209, 7.1, 6.3 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13:00, 7.617,-9999 , 26.9, 1014.3,-0.052,-0.046, 196, 5.0, 2.2 +04-May-2020 14:00, 7.185,-9999 , 27.2, 1014.0,-0.004, 0.006, 167, 4.8, 3.1 +04-May-2020 15:00, 6.328,-9999 , 27.3, 1013.6, 0.014, 0.021, 101, 4.1, 2.1 +04-May-2020 16:00, 5.334,-9999 , 25.9, 1013.5, 0.039, 0.042, 111, 2.9, 1.1 +04-May-2020 17:00, 4.367,-9999 , 24.7, 1013.3, 0.078, 0.080, 54, 4.7, 2.9 +04-May-2020 18:00, 3.566,-9999 , 24.3, 1012.9, 0.051, 0.051, 85, 4.3, 2.7 +04-May-2020 19:00, 3.158,-9999 , 25.5, 1012.8,-0.012,-0.016, 67, 4.0, 3.3 +04-May-2020 20:00, 3.425,-9999 , 25.1, 1012.8,-0.043,-0.047, 80, 5.8, 4.8 +04-May-2020 21:00, 4.324,-9999 , 25.1, 1012.8,-0.080,-0.084, 90, 7.6, 6.3 +04-May-2020 22:00, 5.509,-9999 , 25.1, 1013.0,-0.101,-0.105, 84, 7.0, 4.8 +04-May-2020 23:00, 6.716,-9999 , 24.9, 1013.7,-0.104,-0.105, 101, 6.1, 4.3 +05-May-2020 00:00, 7.703,-9999 , 25.0, 1013.9,-0.110,-0.105, 85, 6.6, 5.0 +05-May-2020 01:00, 8.197,-9999 , 24.8, 1014.2,-0.086,-0.079, 72, 8.4, 6.7 +05-May-2020 02:00, 7.952,-9999 , 27.7, 1013.6,-0.068,-0.059, 76, 7.9, 5.7 +05-May-2020 03:00, 7.066, 28.2, 29.5, 1012.5,-0.049,-0.046, 86, 6.8, 4.8 +05-May-2020 04:00, 5.884, 28.2, 32.2, 1011.5,-0.031,-0.040, 102, 5.4, 3.0 +05-May-2020 05:00, 4.615, 28.1, 33.8, 1010.7,-0.041,-0.060, 120, 4.3, 2.4 +05-May-2020 06:00, 3.525, 28.1, 29.4, 1010.3,-0.024,-0.049, 255, 5.8, 4.8 +05-May-2020 07:00, 2.859, 28.1, 28.4, 1010.2, 0.015,-0.015, 288, 7.9, 6.9 +05-May-2020 08:00, 2.846, 28.1, 28.7, 1010.5,-0.006,-0.036, 302, 8.1, 6.5 +05-May-2020 09:00, 3.717, 28.0, 28.3, 1011.1,-0.016,-0.043, 299, 7.7, 4.8 +05-May-2020 10:00, 5.015, 28.3, 27.9, 1011.7,-0.053,-0.074, 297, 5.9, 4.1 +05-May-2020 11:00, 6.374, 28.4, 27.7, 1012.1,-0.079,-0.094, 311, 5.3, 3.1 +05-May-2020 12:00, 7.578, 28.4, 27.6, 1012.7,-0.106,-0.117, 312, 4.1, 2.0 +05-May-2020 13:00, 8.384, 28.4, 27.4, 1012.9,-0.054,-0.059, 308, 3.3, 1.7 +05-May-2020 14:00, 8.410, 28.4, 26.9, 1012.8, 0.017, 0.014, 345, 3.1, 1.8 +05-May-2020 15:00, 7.591, 28.4, 26.3, 1012.8, 0.041, 0.036, 115, 2.2, 1.0 +05-May-2020 16:00, 6.379, 28.3, 25.6, 1012.9, 0.076, 0.072, 126, 3.9, 2.8 +05-May-2020 17:00, 5.055, 28.3, 25.5, 1012.6, 0.081, 0.077, 134, 3.2, 2.3 +05-May-2020 18:00, 3.760, 28.1, 25.5, 1012.5, 0.042, 0.036, 142, 3.3, 1.7 +05-May-2020 19:00, 2.731, 28.0, 24.9, 1012.4,-0.016,-0.023, 134, 4.3, 2.7 +05-May-2020 20:00, 2.359, 27.7, 24.8, 1012.7,-0.048,-0.056, 129, 3.9, 3.1 +05-May-2020 21:00, 3.038, 27.8, 24.1, 1012.8,-0.054,-0.060, 119, 4.4, 2.6 +05-May-2020 22:00, 4.418, 28.1, 23.9, 1013.2,-0.089,-0.093, 92, 3.7, 2.6 +05-May-2020 23:00, 6.027, 28.2, 24.8, 1013.7,-0.072,-0.072, 97, 3.8, 2.1 +06-May-2020 00:00, 7.596, 28.2, 26.0, 1013.8,-0.052,-0.048, 80, 3.4, 2.1 +06-May-2020 01:00, 8.722, 28.3, 27.0, 1013.9,-0.095,-0.089, 71, 2.8, 1.6 +06-May-2020 02:00, 9.050, 28.3, 29.2, 1013.6,-0.086,-0.080, 102, 2.2, 0.6 +06-May-2020 03:00, 8.364, 28.3, 28.4, 1012.8,-0.061,-0.058, 14, 1.8, 0.2 +06-May-2020 04:00, 7.015, 28.2, 31.2, 1011.6,-0.044,-0.050, 235, 4.6, 3.9 +06-May-2020 05:00, 5.499, 28.3, 30.2, 1010.9,-0.010,-0.027, 248, 5.8, 4.6 +06-May-2020 06:00, 3.959, 28.2, 28.8, 1010.2,-0.007,-0.031, 251, 8.2, 6.9 +06-May-2020 07:00, 2.593, 28.2, 29.6, 1009.9,-0.034,-0.065, 234, 8.8, 6.6 +06-May-2020 08:00, 1.756, 28.1, 29.2, 1009.6,-0.084,-0.118, 234, 8.2, 6.5 +06-May-2020 09:00, 2.122, 28.1, 28.5, 1010.1,-0.055,-0.091, 225, 8.4, 7.2 +06-May-2020 10:00, 3.532, 28.2, 27.8, 1010.8,-0.034,-0.064, 229, 8.7, 6.4 +06-May-2020 11:00, 5.239,-9999 , 27.7, 1011.6,-0.045,-0.068, 229, 7.7, 4.9 +06-May-2020 12:00, 6.937,-9999 , 27.4, 1012.5,-0.061,-0.076, 228, 6.1, 2.8 +06-May-2020 13:00, 8.380,-9999 , 27.3, 1012.8,-0.081,-0.088, 233, 3.8, 2.0 +06-May-2020 14:00, 9.110,-9999 , 27.1, 1012.8,-0.055,-0.059, 141, 2.8, 1.9 +06-May-2020 15:00, 8.708,-9999 , 26.1, 1012.6,-0.052,-0.056, 22, 3.8, 1.3 +06-May-2020 16:00, 7.500,-9999 , 26.8, 1012.3,-0.009,-0.016, 200, 2.0, 1.2 +06-May-2020 17:00, 6.071,-9999 , 26.8, 1012.0, 0.083, 0.073, 228, 2.0, 1.0 +06-May-2020 18:00, 4.524,-9999 , 26.9, 1011.8, 0.069, 0.057, 227, 2.6, 2.3 +06-May-2020 19:00, 3.060,-9999 , 27.4, 1011.6, 0.023, 0.009, 193, 4.1, 3.5 +06-May-2020 20:00, 1.970,-9999 , 27.3, 1011.4,-0.017,-0.033, 199, 5.0, 2.8 +06-May-2020 21:00, 1.891,-9999 , 26.9, 1011.5,-0.040,-0.058, 180, 4.2, 2.7 +06-May-2020 22:00, 3.111,-9999 , 26.2, 1012.1,-0.052,-0.068, 144, 3.4, 2.9 +06-May-2020 23:00, 4.932,-9999 , 26.2, 1012.6,-0.052,-0.062, 115, 3.0, 1.8 +07-May-2020 00:00, 6.875,-9999 , 27.7, 1013.0,-0.005,-0.011, 162, 2.8, 1.9 +07-May-2020 01:00, 8.600,-9999 , 27.9, 1013.4,-0.029,-0.031, 146, 3.5, 2.7 +07-May-2020 02:00, 9.662,-9999 , 29.3, 1013.3,-0.045,-0.043, 128, 3.4, 2.6 +07-May-2020 03:00, 9.539,-9999 , 31.0, 1012.3,-0.048,-0.048, 130, 2.8, 0.9 +07-May-2020 04:00, 8.301,-9999 , 30.0, 1011.3,-0.062,-0.072, 205, 3.2, 2.9 +07-May-2020 05:00, 6.651,-9999 , 30.0, 1010.3,-0.020,-0.040, 219, 5.7, 5.0 +07-May-2020 06:00, 4.909,-9999 , 30.0, 1009.5, 0.011,-0.019, 249, 6.1, 5.1 +07-May-2020 07:00, 3.176,-9999 , 29.7, 1009.2, 0.007,-0.030, 249, 7.6, 5.6 +07-May-2020 08:00, 1.668,-9999 , 29.7, 1009.0,-0.039,-0.080, 244, 6.9, 4.0 +07-May-2020 09:00, 1.038,-9999 , 29.2, 1009.5,-0.075,-0.117, 299, 6.8, 3.9 +07-May-2020 10:00, 1.941,-9999 , 28.3, 1010.1,-0.053,-0.090, 272, 6.1, 3.4 +07-May-2020 11:00, 3.754,-9999 , 28.0, 1011.1,-0.046,-0.076, 236, 3.6, 2.2 +07-May-2020 12:00, 5.744,-9999 , 27.4, 1011.9,-0.032,-0.053, 292, 2.8, 1.9 +07-May-2020 13:00, 7.704,-9999 , 26.5, 1012.5,-0.007,-0.019, 346, 3.3, 1.5 +07-May-2020 14:00, 9.182,-9999 , 26.6, 1012.2, 0.000,-0.008, 345, 2.4, 1.9 +07-May-2020 15:00, 9.560,-9999 , 26.3, 1012.0, 0.010,-0.001, 313, 3.3, 1.3 +07-May-2020 16:00, 8.694,-9999 , 26.5, 1011.7, 0.022, 0.009, 320, 2.0, 1.0 +07-May-2020 17:00, 7.199,-9999 , 26.3, 1011.4, 0.063, 0.048, 279, 1.4, 1.2 +07-May-2020 18:00, 5.564,-9999 , 26.4, 1011.1, 0.091, 0.072, 205, 2.1, 1.6 +07-May-2020 19:00, 3.879,-9999 , 26.7, 1010.8, 0.057, 0.036, 181, 2.5, 2.0 +07-May-2020 20:00, 2.370,-9999 , 26.1, 1010.8, 0.042, 0.018, 149, 2.6, 2.1 +07-May-2020 21:00, 1.443,-9999 , 25.6, 1010.8, 0.009,-0.016, 127, 4.0, 2.7 +07-May-2020 22:00, 1.939,-9999 , 23.2, 1011.2, 0.002,-0.022, 4, 2.9, 1.2 +07-May-2020 23:00, 3.702,-9999 , 24.5, 1011.6, 0.033, 0.014, 1, 2.3, 1.0 +08-May-2020 00:00, 5.829,-9999 , 25.4, 1012.0, 0.089, 0.073, 52, 3.3, 1.7 +08-May-2020 01:00, 7.892,-9999 , 28.4, 1012.4, 0.079, 0.067, 97, 3.0, 2.0 +08-May-2020 02:00, 9.558,-9999 , 29.9, 1012.5, 0.023, 0.015, 99, 2.8, 1.2 +08-May-2020 03:00,10.187,-9999 , 30.7, 1011.9,-0.031,-0.039, 173, 1.7, 1.1 +08-May-2020 04:00, 9.450,-9999 , 28.7, 1010.8,-0.060,-0.075, 248, 3.3, 2.6 +08-May-2020 05:00, 7.846,-9999 , 29.0, 1009.7,-0.067,-0.093, 264, 5.0, 4.4 +08-May-2020 06:00, 6.048,-9999 , 29.4, 1008.8,-0.028,-0.064, 265, 6.0, 5.2 +08-May-2020 07:00, 4.163,-9999 , 29.8, 1008.6,-0.017,-0.062, 257, 7.0, 5.8 +08-May-2020 08:00, 2.380,-9999 , 30.2, 1008.5, 0.023,-0.024, 279, 7.2, 5.2 +08-May-2020 09:00, 1.024,-9999 , 29.1, 1008.9, 0.041,-0.006, 315, 6.6, 5.1 +08-May-2020 10:00, 0.908,-9999 , 27.9, 1009.8, 0.009,-0.033, 297, 6.5, 2.4 +08-May-2020 11:00, 2.325,-9999 , 27.4, 1010.6, 0.001,-0.032, 319, 3.8, 2.9 +08-May-2020 12:00, 4.325,-9999 , 27.2, 1011.3,-0.021,-0.047, 310, 3.5, 2.7 +08-May-2020 13:00, 6.440,-9999 , 27.3, 1012.2,-0.015,-0.033, 312, 3.6, 1.6 +08-May-2020 14:00, 8.417,-9999 , 27.1, 1011.9,-0.014,-0.025, 315, 3.3, 2.4 +08-May-2020 15:00, 9.611,-9999 , 27.1, 1011.8,-0.022,-0.036, 306, 2.9, 1.9 +08-May-2020 16:00, 9.434,-9999 , 26.7, 1011.4,-0.036,-0.051, 270, 2.2, 1.6 +08-May-2020 17:00, 8.164,-9999 , 26.7, 1011.0,-0.036,-0.055, 284, 2.9, 2.2 +08-May-2020 18:00, 6.581,-9999 , 26.6, 1010.8, 0.023, 0.000, 267, 3.2, 1.9 +08-May-2020 19:00, 4.873,-9999 , 26.6, 1010.7, 0.030, 0.006, 241, 3.4, 2.2 +08-May-2020 20:00, 3.168,-9999 , 26.4, 1011.0, 0.019,-0.006, 191, 3.7, 3.0 +08-May-2020 21:00, 1.785,-9999 , 24.9, 1011.2, 0.047, 0.025, 140, 4.6, 1.5 +08-May-2020 22:00, 1.360,-9999 , 23.3, 1011.8, 0.042, 0.022, 159, 4.8, 3.6 +08-May-2020 23:00, 2.495,-9999 , 25.3, 1012.3, 0.032, 0.018, 117, 7.7, 6.4 +09-May-2020 00:00, 4.489,-9999 , 26.0, 1012.7, 0.012, 0.003, 106, 10.4, 7.6 +09-May-2020 01:00, 6.584,-9999 , 26.4, 1013.3,-0.050,-0.054, 95, 9.6, 7.6 +09-May-2020 02:00, 8.625,-9999 , 29.1, 1013.1,-0.074,-0.073, 92, 9.7, 4.9 +09-May-2020 03:00,10.008,-9999 , 31.2, 1012.3,-0.106,-0.108, 89, 6.5, 5.5 +09-May-2020 04:00,10.097,-9999 , 32.1, 1011.3,-0.092,-0.103, 89, 6.2, 4.5 +09-May-2020 05:00, 8.897,-9999 , 33.5, 1010.8,-0.078,-0.098, 121, 5.2, 2.7 +09-May-2020 06:00, 7.130,-9999 , 34.3, 1010.2,-0.106,-0.131, 102, 3.0, 2.6 +09-May-2020 07:00, 5.237,-9999 , 34.3, 1009.8,-0.139,-0.170, 92, 5.1, 4.2 +09-May-2020 08:00, 3.411,-9999 , 32.2, 1009.9,-0.032,-0.067, 304, 5.5, 4.5 +09-May-2020 09:00, 1.757,-9999 , 28.4, 1010.8, 0.079, 0.046, 323, 8.0, 6.6 +09-May-2020 10:00, 0.691,-9999 , 27.6, 1011.8,-0.008,-0.031, 309, 8.0, 4.3 +09-May-2020 11:00, 1.231,-9999 , 27.6, 1012.8,-0.051,-0.064, 269, 5.4, 3.6 +09-May-2020 12:00, 2.993,-9999 , 27.3, 1013.5,-0.042,-0.045, 278, 5.0, 2.9 +09-May-2020 13:00, 5.046,-9999 , 27.1, 1013.8,-0.032,-0.029, 290, 3.7, 2.6 +09-May-2020 14:00, 7.127,-9999 , 27.1, 1013.9,-0.053,-0.048, 275, 3.5, 1.6 +09-May-2020 15:00, 8.906,-9999 , 26.7, 1013.9,-0.054,-0.047, 258, 2.4, 1.7 +09-May-2020 16:00, 9.656,-9999 , 26.8, 1013.5,-0.001, 0.005, 242, 2.3, 1.4 +09-May-2020 17:00, 8.961,-9999 , 26.9, 1013.1,-0.002, 0.000, 206, 2.9, 1.9 +09-May-2020 18:00, 7.481,-9999 , 26.6, 1012.8,-0.024,-0.026, 144, 3.7, 3.1 +09-May-2020 19:00, 5.862,-9999 , 25.8, 1012.6,-0.020,-0.024, 126, 4.2, 3.5 +09-May-2020 20:00, 4.151,-9999 , 26.7, 1012.6,-0.029,-0.035, 112, 6.0, 5.4 +09-May-2020 21:00, 2.557,-9999 , 26.2, 1012.7,-0.010,-0.017, 97, 8.5, 6.2 +09-May-2020 22:00, 1.458,-9999 , 25.4, 1013.6,-0.035,-0.039, 95, 8.2, 6.4 +09-May-2020 23:00, 1.669,-9999 , 24.8, 1014.3,-0.086,-0.081, 90, 8.1, 5.3 +10-May-2020 00:00, 3.295,-9999 , 25.0, 1014.9,-0.066,-0.055, 80, 5.4, 3.8 +10-May-2020 01:00, 5.305,-9999 , 26.2, 1014.9,-0.101,-0.085, 77, 6.9, 5.4 +10-May-2020 02:00, 7.381,-9999 , 29.9, 1014.6,-0.104,-0.088, 86, 9.9, 8.1 +10-May-2020 03:00, 9.210,-9999 , 31.4, 1013.5,-0.094,-0.081, 83, 8.9, 6.3 +10-May-2020 04:00,10.053,-9999 , 32.6, 1012.2,-0.126,-0.124, 89, 9.6, 8.0 +10-May-2020 05:00, 9.552,-9999 , 33.0, 1010.9,-0.092,-0.104, 85, 10.6, 8.4 +10-May-2020 06:00, 8.074,-9999 , 33.0, 1010.3,-0.093,-0.117, 82, 9.9, 7.6 +10-May-2020 07:00, 6.336,-9999 , 33.5, 1009.9,-0.132,-0.162, 94, 8.3, 6.6 +10-May-2020 08:00, 4.514,-9999 , 33.4, 1010.0,-0.145,-0.178, 101, 7.2, 5.6 +10-May-2020 09:00, 2.749,-9999 , 32.3, 1010.5,-0.069,-0.101, 85, 6.8, 5.8 +10-May-2020 10:00, 1.319,-9999 , 30.8, 1011.3,-0.026,-0.053, 76, 6.0, 3.0 +10-May-2020 11:00, 0.903,-9999 , 29.1, 1012.3,-0.101,-0.119, 71, 3.4, 1.0 +10-May-2020 12:00, 2.019,-9999 , 29.0, 1013.0,-0.111,-0.120, 75, 2.2, 1.5 +10-May-2020 13:00, 3.865,-9999 , 28.1, 1013.7,-0.059,-0.061, 270, 3.7, 1.4 +10-May-2020 14:00, 5.821,-9999 , 30.1, 1014.1,-0.030,-0.025, 85, 7.2, 4.4 +10-May-2020 15:00, 7.705,-9999 , 28.2, 1013.8,-0.058,-0.050, 64, 7.5, 1.8 +10-May-2020 16:00, 9.053,-9999 , 28.1, 1013.2,-0.065,-0.061, 123, 12.4, 8.8 +10-May-2020 17:00, 9.212,-9999 , 27.8, 1013.3,-0.021,-0.022, 114, 10.2, 8.6 +10-May-2020 18:00, 8.137,-9999 , 27.3, 1013.0,-0.051,-0.051, 111, 11.0, 8.9 +10-May-2020 19:00, 6.652,-9999 , 26.8, 1012.7,-0.082,-0.085, 99, 10.9, 8.5 +10-May-2020 20:00, 5.116,-9999 , 26.3, 1013.0,-0.076,-0.081, 112, 10.3, 7.2 +10-May-2020 21:00, 3.565,-9999 , 26.1, 1013.0,-0.045,-0.047, 113, 11.0, 8.2 +10-May-2020 22:00, 2.234,-9999 , 25.3, 1013.5,-0.033,-0.035, 111, 10.1, 6.5 +10-May-2020 23:00, 1.661,-9999 , 25.6, 1014.2,-0.104,-0.101, 93, 9.3, 6.9 +11-May-2020 00:00, 2.541,-9999 , 25.5, 1014.5,-0.108,-0.098, 108, 8.2, 6.3 +11-May-2020 01:00, 4.310,-9999 , 27.5, 1014.5,-0.079,-0.067, 86, 8.1, 6.5 +11-May-2020 02:00, 6.252, 27.4, 29.3, 1014.3,-0.019,-0.007, 97, 8.3, 6.4 +11-May-2020 03:00, 8.081, 27.4, 30.7, 1013.3,-0.008, 0.001, 83, 7.7, 5.8 +11-May-2020 04:00, 9.347, 27.5, 31.3, 1012.2,-0.094,-0.095, 94, 6.4, 5.1 +11-May-2020 05:00, 9.643, 27.5, 30.9, 1011.5,-0.067,-0.078, 110, 5.0, 2.6 +11-May-2020 06:00, 8.752, 27.6, 31.4, 1011.0,-0.014,-0.033, 144, 3.2, 1.4 +11-May-2020 07:00, 7.195, 27.6, 29.8, 1010.9,-0.087,-0.110, 155, 4.3, 3.6 +11-May-2020 08:00, 5.600, 27.6, 29.1, 1011.4,-0.112,-0.135, 308, 7.7, 6.0 +11-May-2020 09:00, 3.980, 27.5, 28.6, 1012.1,-0.066,-0.083, 289, 7.7, 5.4 +11-May-2020 10:00, 2.473, 27.5, 28.2, 1012.5,-0.006,-0.017, 309, 6.8, 3.1 +11-May-2020 11:00, 1.488, 27.4, 28.0, 1013.5,-0.037,-0.043, 286, 4.8, 3.1 +11-May-2020 12:00, 1.773, 27.4, 27.7, 1013.9,-0.059,-0.056, 310, 3.6, 0.8 +11-May-2020 13:00, 3.160, 27.4, 26.8, 1014.0,-0.016,-0.009, 195, 2.2, 0.8 +11-May-2020 14:00, 4.784, 27.5, 26.3, 1014.4,-0.017,-0.009, 124, 3.7, 3.2 +11-May-2020 15:00, 6.424, 27.4, 28.3, 1014.5,-0.068,-0.056, 112, 8.6, 7.4 +11-May-2020 16:00, 7.905, 27.4, 27.6, 1014.2,-0.122,-0.110, 116, 8.7, 5.7 +11-May-2020 17:00, 8.750, 27.4, 27.3, 1013.7,-0.092,-0.083, 101, 7.0, 5.8 +11-May-2020 18:00, 8.431, 27.4, 26.4, 1013.1,-0.059,-0.056, 98, 6.7, 5.2 +11-May-2020 19:00, 7.283, 27.4, 26.1, 1013.2,-0.054,-0.056, 98, 7.7, 5.3 +11-May-2020 20:00, 5.982, 27.3, 25.6, 1013.1,-0.015,-0.016, 102, 7.1, 5.1 +11-May-2020 21:00, 4.603, 27.2, 25.3, 1013.3,-0.008,-0.010, 115, 6.9, 6.0 +11-May-2020 22:00, 3.296, 27.2, 25.0, 1014.2,-0.010,-0.008, 107, 8.1, 5.1 +11-May-2020 23:00, 2.390, 27.0, 24.7, 1014.7,-0.030,-0.020, 104, 8.0, 6.6 +12-May-2020 00:00, 2.469, 26.7, 25.3, 1015.3,-0.062,-0.047, 106, 7.6, 4.9 +12-May-2020 01:00, 3.647, 27.1, 26.1, 1015.6,-0.081,-0.061, 86, 5.9, 3.1 +12-May-2020 02:00, 5.245, 27.2, 29.6, 1015.1,-0.066,-0.043, 105, 4.5, 3.3 +12-May-2020 03:00, 6.860, 27.2, 30.2, 1014.1,-0.034,-0.017, 143, 4.4, 3.3 +12-May-2020 04:00, 8.237, 27.2, 31.6, 1013.2,-0.042,-0.035, 183, 3.9, 2.7 +12-May-2020 05:00, 9.012, 27.3, 30.8, 1012.2,-0.062,-0.063, 212, 3.7, 3.0 +12-May-2020 06:00, 8.816, 27.3, 33.4, 1011.4,-0.050,-0.061, 214, 3.1, 1.6 +12-May-2020 07:00, 7.720, 27.4, 31.4, 1010.9,-0.076,-0.095, 224, 5.0, 3.7 +12-May-2020 08:00, 6.359, 27.5, 32.6, 1010.8,-0.104,-0.128, 227, 4.4, 2.5 +12-May-2020 09:00, 4.960, 27.4, 29.4, 1011.3,-0.119,-0.143, 217, 4.9, 4.1 +12-May-2020 10:00, 3.642, 27.4, 28.0, 1012.1,-0.052,-0.071, 211, 6.2, 4.2 +12-May-2020 11:00, 2.584, 27.4, 27.6, 1013.1, 0.014, 0.004, 216, 6.9, 3.7 +12-May-2020 12:00, 2.182, 27.3, 27.4, 1013.7,-0.023,-0.023, 207, 5.0, 3.8 +12-May-2020 13:00, 2.837, 27.3, 28.4, 1014.2,-0.063,-0.058, 81, 6.3, 4.4 +12-May-2020 14:00, 4.107, 27.3, 27.6, 1014.1,-0.040,-0.031, 121, 7.4, 5.9 +12-May-2020 15:00, 5.463, 27.3, 27.8, 1014.0,-0.036,-0.028, 114, 9.0, 7.1 +12-May-2020 16:00, 6.772, 27.3, 26.0, 1013.9,-0.067,-0.060, 85, 8.4, 5.2 +12-May-2020 17:00, 7.869, 27.2, 25.9, 1013.8,-0.028,-0.022, 82, 6.3, 4.7 +12-May-2020 18:00, 8.215, 27.2, 25.8, 1013.7,-0.016,-0.011, 101, 8.2, 6.4 +12-May-2020 19:00, 7.569, 27.2, 25.4, 1013.7,-0.074,-0.070, 85, 7.9, 6.0 +12-May-2020 20:00, 6.541, 27.2, 24.7, 1014.2,-0.030,-0.025, 102, 6.6, 5.0 +12-May-2020 21:00, 5.417, 27.1, 23.9, 1014.7, 0.004, 0.014, 110, 7.6, 6.2 +12-May-2020 22:00, 4.258, 27.1, 23.6, 1015.4,-0.043,-0.028, 115, 7.4, 5.8 +12-May-2020 23:00, 3.318, 26.8, 24.0, 1015.9,-0.084,-0.062, 94, 9.0, 7.7 +13-May-2020 00:00, 2.939, 26.6, 23.8, 1016.2,-0.086,-0.059, 86, 9.5, 6.3 +13-May-2020 01:00, 3.457, 26.7, 24.8, 1016.4,-0.081,-0.051, 77, 6.7, 4.7 +13-May-2020 02:00, 4.627, 26.9, 28.8, 1016.0,-0.052,-0.021, 86, 9.3, 7.4 +13-May-2020 03:00, 5.911, 27.0, 30.1, 1015.1,-0.037,-0.010, 87, 9.2, 7.1 +13-May-2020 04:00, 7.090, 27.0, 30.8, 1014.0,-0.038,-0.020, 94, 8.5, 6.5 +13-May-2020 05:00, 7.975, 27.0, 31.6, 1012.9,-0.036,-0.030, 88, 8.1, 3.7 +13-May-2020 06:00, 8.285,-9999 , 32.2, 1012.2,-0.058,-0.063, 108, 5.3, 4.4 +13-May-2020 07:00, 7.826,-9999 , 32.5, 1011.9,-0.083,-0.094, 126, 6.0, 2.9 +13-May-2020 08:00, 6.861,-9999 , 32.5, 1011.9,-0.082,-0.096, 121, 6.7, 4.5 +13-May-2020 09:00, 5.782,-9999 , 30.9, 1012.3,-0.050,-0.063, 109, 6.2, 5.7 +13-May-2020 10:00, 4.681,-9999 , 29.0, 1012.9,-0.033,-0.042, 107, 6.6, 5.1 +13-May-2020 11:00, 3.714,-9999 , 28.8, 1013.6,-0.010,-0.012, 105, 6.3, 5.7 +13-May-2020 12:00, 3.089,-9999 , 28.4, 1014.3, 0.008, 0.012, 124, 8.3, 7.4 +13-May-2020 13:00, 3.110,-9999 , 27.4, 1014.7,-0.031,-0.020, 126, 9.6, 7.5 +13-May-2020 14:00, 3.792,-9999 , 26.7, 1014.7,-0.080,-0.065, 128, 9.6, 7.9 +13-May-2020 15:00, 4.749,-9999 , 26.7, 1014.6,-0.103,-0.089, 128, 10.3, 8.3 +13-May-2020 16:00, 5.769,-9999 , 26.3, 1014.4,-0.115,-0.102, 117, 10.5, 8.0 +13-May-2020 17:00, 6.742,-9999 , 26.1, 1014.2,-0.073,-0.062, 106, 11.0, 7.6 +13-May-2020 18:00, 7.413,-9999 , 24.6, 1014.2,-0.036,-0.026, 117, 9.8, 7.1 +13-May-2020 19:00, 7.450,-9999 , 24.2, 1013.9,-0.041,-0.032, 93, 10.3, 7.7 +13-May-2020 20:00, 6.871,-9999 , 23.4, 1014.2,-0.026,-0.019, 99, 9.7, 8.3 +13-May-2020 21:00, 6.007,-9999 , 23.4, 1014.7,-0.009, 0.001, 100, 9.9, 7.9 +13-May-2020 22:00, 5.066,-9999 , 22.8, 1015.4,-0.053,-0.038, 104, 9.6, 7.6 +13-May-2020 23:00, 4.243,-9999 , 23.0, 1016.2,-0.129,-0.107, 103, 9.5, 8.1 +14-May-2020 00:00, 3.737,-9999 , 22.9, 1016.6,-0.148,-0.118, 94, 10.6, 8.2 +14-May-2020 01:00, 3.725,-9999 , 24.3, 1016.5,-0.145,-0.112, 86, 9.6, 7.2 +14-May-2020 02:00, 4.324,-9999 , 28.0, 1015.9,-0.115,-0.083, 83, 9.8, 8.3 +14-May-2020 03:00, 5.245,-9999 , 29.0, 1015.0,-0.049,-0.023, 85, 12.6, 9.6 +14-May-2020 04:00, 6.142,-9999 , 30.0, 1013.9,-0.045,-0.029, 93, 10.9, 7.2 +14-May-2020 05:00, 6.920,-9999 , 31.1, 1013.3,-0.011,-0.005, 100, 9.0, 5.4 +14-May-2020 06:00, 7.427,-9999 , 31.4, 1012.7, 0.018, 0.018, 115, 6.7, 4.6 +14-May-2020 07:00, 7.477,-9999 , 32.8, 1012.5,-0.022,-0.028, 140, 4.7, 2.3 +14-May-2020 08:00, 7.048,-9999 , 32.9, 1012.5,-0.038,-0.045, 190, 2.6, 1.0 +14-May-2020 09:00, 6.270,-9999 , 30.5, 1012.7,-0.073,-0.080, 119, 4.8, 3.1 +14-May-2020 10:00, 5.421,-9999 , 28.0, 1013.3,-0.080,-0.085, 117, 5.1, 4.3 +14-May-2020 11:00, 4.679,-9999 , 27.5, 1013.7,-0.042,-0.041, 121, 5.2, 4.3 +14-May-2020 12:00, 4.089,-9999 , 27.2, 1014.2,-0.026,-0.021, 129, 7.7, 5.6 +14-May-2020 13:00, 3.767,-9999 , 26.8, 1014.4,-0.052,-0.043, 127, 9.5, 8.0 +14-May-2020 14:00, 3.884,-9999 , 26.0, 1014.3,-0.116,-0.105, 126, 12.4, 9.4 +14-May-2020 15:00, 4.391,-9999 , 25.8, 1014.3,-0.128,-0.118, 125, 12.2, 9.6 +14-May-2020 16:00, 5.066,-9999 , 25.5, 1013.9,-0.131,-0.120, 120, 12.7, 10.3 +14-May-2020 17:00, 5.767,-9999 , 25.2, 1013.7,-0.128,-0.122, 118, 12.8, 10.2 +14-May-2020 18:00, 6.370,-9999 , 24.4, 1013.7,-0.116,-0.111, 107, 12.4, 9.3 +14-May-2020 19:00, 6.758,-9999 , 24.4, 1013.4,-0.114,-0.110, 111, 13.3, 9.8 +14-May-2020 20:00, 6.757,-9999 , 23.7, 1013.5,-0.085,-0.084, 100, 12.7, 9.2 +14-May-2020 21:00, 6.349,-9999 , 22.9, 1013.7,-0.052,-0.049, 106, 10.9, 9.0 +14-May-2020 22:00, 5.742,-9999 , 22.2, 1014.2,-0.041,-0.036, 111, 11.5, 8.6 +14-May-2020 23:00, 5.121,-9999 , 22.2, 1014.8,-0.088,-0.078, 107, 11.3, 8.8 +15-May-2020 00:00, 4.665,-9999 , 22.7, 1014.9,-0.129,-0.114, 102, 11.7, 9.5 +15-May-2020 01:00, 4.426,-9999 , 24.8, 1014.8,-0.139,-0.123, 99, 11.8, 8.0 +15-May-2020 02:00, 4.491,-9999 , 27.4, 1014.5,-0.142,-0.127, 87, 11.4, 9.1 +15-May-2020 03:00, 4.904, 25.5, 28.6, 1013.6,-0.079,-0.067, 91, 11.0, 7.5 +15-May-2020 04:00, 5.450, 26.1, 29.7, 1012.4,-0.032,-0.030, 90, 9.0, 6.4 +15-May-2020 05:00, 5.954, 26.1, 30.5, 1011.5,-0.048,-0.058, 106, 7.5, 4.8 +15-May-2020 06:00, 6.379, 25.9, 31.3, 1010.9,-0.028,-0.046, 137, 5.4, 2.3 +15-May-2020 07:00, 6.678, 25.6, 32.7, 1010.9,-0.024,-0.048, 163, 3.9, 1.9 +15-May-2020 08:00, 6.711, 25.8, 29.7, 1011.0,-0.078,-0.101, 191, 3.5, 3.2 +15-May-2020 09:00, 6.486, 26.1, 29.3, 1011.6,-0.068,-0.089, 191, 3.2, 2.7 +15-May-2020 10:00, 6.067, 26.3, 27.0, 1012.0,-0.020,-0.036, 188, 5.0, 3.6 +15-May-2020 11:00, 5.516, 26.4, 27.0, 1012.8,-0.029,-0.041, 192, 8.2, 7.0 +15-May-2020 12:00, 5.010, 26.4, 26.7, 1013.7,-0.058,-0.061, 183, 9.1, 6.9 +15-May-2020 13:00, 4.648, 26.3, 26.7, 1013.6,-0.041,-0.037, 133, 10.0, 7.8 +15-May-2020 14:00, 4.426, 26.2, 25.9, 1013.4,-0.066,-0.063, 131, 11.6, 8.9 +15-May-2020 15:00, 4.421, 26.0, 25.8, 1013.0,-0.108,-0.107, 118, 11.9, 10.0 +15-May-2020 16:00, 4.698, 26.0, 25.4, 1013.1,-0.070,-0.072, 111, 11.9, 9.3 +15-May-2020 17:00, 5.128, 25.9, 26.1, 1013.1,-0.037,-0.039, 118, 13.2, 10.3 +15-May-2020 18:00, 5.566, 25.9, 24.8, 1013.3,-0.030,-0.031, 123, 12.6, 8.3 +15-May-2020 19:00, 5.949, 25.9, 23.9, 1012.8,-0.082,-0.083, 117, 9.7, 7.4 +15-May-2020 20:00, 6.253, 26.0, 23.3, 1012.7,-0.127,-0.132, 106, 10.0, 8.7 +15-May-2020 21:00, 6.366, 26.0, 22.6, 1012.7,-0.085,-0.091, 96, 10.0, 7.4 +15-May-2020 22:00, 6.194, 25.8, 22.5, 1013.5,-0.057,-0.061, 111, 8.3, 6.7 +15-May-2020 23:00, 5.884, 25.3, 22.7, 1013.8,-0.048,-0.045, 110, 9.1, 7.9 +16-May-2020 00:00, 5.572, 24.6, 23.5, 1014.1,-0.063,-0.056, 100, 8.9, 7.5 +16-May-2020 01:00, 5.315, 24.6, 24.9, 1013.9,-0.059,-0.051, 85, 8.4, 6.4 +16-May-2020 02:00, 5.105, 24.7, 27.6, 1014.0,-0.055,-0.048, 87, 10.6, 8.1 +16-May-2020 03:00, 4.993, 24.4, 28.8, 1013.0,-0.061,-0.055, 82, 9.2, 7.1 +16-May-2020 04:00, 5.045, 25.0, 29.7, 1012.0,-0.037,-0.040, 95, 9.1, 5.8 +16-May-2020 05:00, 5.210, 25.2, 31.1, 1010.8,-0.047,-0.061, 103, 6.7, 4.7 +16-May-2020 06:00, 5.441, 25.4, 31.2, 1010.4,-0.051,-0.075, 129, 5.7, 3.8 +16-May-2020 07:00, 5.763, 25.5, 32.3, 1010.2,-0.012,-0.041, 150, 4.7, 3.9 +16-May-2020 08:00, 6.090, 25.6, 32.4, 1010.0,-0.035,-0.066, 127, 4.6, 3.6 +16-May-2020 09:00, 6.302, 25.7, 31.0, 1010.7,-0.069,-0.100, 147, 4.0, 2.7 +16-May-2020 10:00, 6.392, 25.8, 27.6, 1011.3, 0.006,-0.019, 117, 5.6, 3.4 +16-May-2020 11:00, 6.303, 25.9, 27.6, 1012.0, 0.100, 0.081, 107, 5.6, 4.2 +16-May-2020 12:00, 5.991, 26.1, 27.4, 1012.5, 0.075, 0.063, 102, 5.9, 5.0 +16-May-2020 13:00, 5.590, 26.1, 27.1, 1013.0, 0.021, 0.014, 128, 8.4, 7.3 +16-May-2020 14:00, 5.174, 26.1, 26.1, 1012.7,-0.021,-0.024, 121, 10.6, 8.4 +16-May-2020 15:00, 4.820, 26.0, 26.2, 1012.5,-0.048,-0.053, 119, 12.4, 9.8 +16-May-2020 16:00, 4.591, 25.7, 25.8, 1012.1,-0.065,-0.073, 120, 13.3, 10.5 +16-May-2020 17:00, 4.547, 25.5, 25.1, 1012.0,-0.103,-0.115, 121, 13.1, 9.7 +16-May-2020 18:00, 4.778, 25.5, 24.5, 1011.8,-0.056,-0.068, 105, 11.8, 8.2 +16-May-2020 19:00, 5.180, 25.5, 24.1, 1011.4, 0.006,-0.008, 104, 9.9, 8.4 +16-May-2020 20:00, 5.619, 25.5, 23.4, 1011.5,-0.044,-0.063, 98, 9.6, 7.0 +16-May-2020 21:00, 6.056, 25.6, 23.3, 1011.9,-0.076,-0.093, 101, 9.0, 7.1 +16-May-2020 22:00, 6.407, 25.6, 23.4, 1012.0, 0.002,-0.011, 100, 10.2, 8.7 +16-May-2020 23:00, 6.540, 25.7, 23.5, 1012.5, 0.064, 0.053, 96, 10.8, 8.1 +17-May-2020 00:00, 6.441, 25.7, 23.7, 1012.8, 0.041, 0.034, 88, 9.4, 5.3 +17-May-2020 01:00, 6.167, 25.6, 26.5, 1012.9,-0.022,-0.026, 86, 11.1, 8.2 +17-May-2020 02:00, 5.786, 25.2, 27.8, 1012.3,-0.059,-0.063, 80, 10.0, 6.3 +17-May-2020 03:00, 5.417, 25.1, 28.9, 1011.4,-0.020,-0.031, 85, 9.6, 6.1 +17-May-2020 04:00, 5.073, 25.0, 29.7, 1011.0, 0.031, 0.012, 88, 7.7, 6.4 +17-May-2020 05:00, 4.738, 24.7, 31.1, 1010.1,-0.045,-0.068, 94, 6.7, 4.8 +17-May-2020 06:00, 4.634, 24.9, 32.7, 1009.5,-0.083,-0.115, 119, 5.6, 3.4 +17-May-2020 07:00, 4.858, 25.3, 31.5, 1009.2,-0.005,-0.043, 160, 5.1, 4.9 +17-May-2020 08:00, 5.299, 25.6, 30.9, 1009.1, 0.027,-0.014, 180, 4.8, 3.3 +17-May-2020 09:00, 5.813, 25.7, 29.1, 1009.8,-0.015,-0.056, 191, 4.8, 3.8 +17-May-2020 10:00, 6.276, 25.6, 28.1, 1010.5,-0.029,-0.062, 181, 3.9, 3.1 +17-May-2020 11:00, 6.591, 25.7, 26.9, 1011.2, 0.010,-0.016, 180, 5.3, 3.4 +17-May-2020 12:00, 6.679, 25.8, 26.8, 1012.0, 0.052, 0.033, 181, 7.3, 5.5 +17-May-2020 13:00, 6.512, 25.8, 26.4, 1012.2, 0.095, 0.082, 164, 7.3, 3.0 +17-May-2020 14:00, 6.064, 25.6, 26.8, 1012.2, 0.083, 0.073, 37, 3.3, 0.8 +17-May-2020 15:00, 5.463, 25.8, 26.5, 1012.0, 0.030, 0.020, 77, 3.2, 1.0 +17-May-2020 16:00, 4.912, 25.6, 26.7, 1011.8, 0.039, 0.026, 66, 3.6, 1.1 +17-May-2020 17:00, 4.477, 25.2, 26.1, 1011.5, 0.037, 0.022, 92, 6.0, 4.5 +17-May-2020 18:00, 4.240, 25.5, 25.7, 1011.0,-0.020,-0.038, 96, 6.0, 3.9 +17-May-2020 19:00, 4.364, 25.4, 25.0, 1010.7,-0.019,-0.042, 103, 6.3, 4.6 +17-May-2020 20:00, 4.871, 25.5, 24.6, 1010.9, 0.020,-0.005, 120, 5.2, 4.3 +17-May-2020 21:00, 5.562, 25.4, 24.3, 1010.7, 0.023,-0.001, 114, 5.4, 4.4 +17-May-2020 22:00, 6.221,-9999 , 24.1, 1011.0, 0.012,-0.013, 106, 5.9, 4.8 +17-May-2020 23:00, 6.796,-9999 , 24.5, 1011.4, 0.080, 0.058, 103, 6.3, 5.3 +18-May-2020 00:00, 7.118,-9999 , 24.9, 1011.8, 0.113, 0.095, 88, 6.6, 4.7 +18-May-2020 01:00, 7.052,-9999 , 26.2, 1011.9, 0.072, 0.058, 81, 6.0, 4.3 +18-May-2020 02:00, 6.649,-9999 , 28.4, 1011.7, 0.044, 0.031, 82, 8.3, 6.2 +18-May-2020 03:00, 5.994,-9999 , 29.4, 1010.8,-0.014,-0.030, 88, 7.7, 6.0 +18-May-2020 04:00, 5.284,-9999 , 30.7, 1009.9,-0.031,-0.055, 98, 7.7, 5.1 +18-May-2020 05:00, 4.640,-9999 , 31.7, 1009.0,-0.012,-0.047, 107, 6.2, 3.1 +18-May-2020 06:00, 4.157,-9999 , 33.4, 1008.5,-0.032,-0.075, 130, 2.9, 2.1 +18-May-2020 07:00, 4.048,-9999 , 29.7, 1008.4,-0.001,-0.048, 253, 4.4, 3.5 +18-May-2020 08:00, 4.413,-9999 , 30.5, 1008.4, 0.051, 0.003, 237, 5.1, 2.7 +18-May-2020 09:00, 5.094,-9999 , 29.5, 1008.8, 0.043,-0.005, 248, 4.7, 3.5 +18-May-2020 10:00, 5.882,-9999 , 27.7, 1009.7, 0.021,-0.023, 331, 5.5, 4.4 +18-May-2020 11:00, 6.601,-9999 , 28.0, 1010.8, 0.023,-0.011, 330, 6.0, 4.0 +18-May-2020 12:00, 7.105,-9999 , 27.6, 1011.7, 0.041, 0.018, 301, 5.4, 2.8 +18-May-2020 13:00, 7.240,-9999 , 26.5, 1012.0, 0.070, 0.055, 221, 5.3, 4.1 +18-May-2020 14:00, 6.928,-9999 , 26.2, 1012.3, 0.126, 0.114, 218, 4.8, 2.8 +18-May-2020 15:00, 6.240,-9999 , 26.1, 1012.3, 0.117, 0.108, 220, 4.0, 2.6 +18-May-2020 16:00, 5.407,-9999 , 26.1, 1011.8, 0.072, 0.062, 191, 2.9, 2.3 +18-May-2020 17:00, 4.614,-9999 , 25.4, 1011.6, 0.053, 0.039, 108, 5.7, 4.5 +18-May-2020 18:00, 4.011,-9999 , 25.6, 1011.5, 0.031, 0.014, 125, 5.9, 4.3 +18-May-2020 19:00, 3.800,-9999 , 25.4, 1011.6, 0.052, 0.035, 92, 4.7, 3.6 +18-May-2020 20:00, 4.095,-9999 , 26.3, 1011.2, 0.056, 0.039, 109, 6.9, 5.9 +18-May-2020 21:00, 4.816,-9999 , 25.9, 1011.2, 0.019,-0.001, 104, 7.1, 5.2 +18-May-2020 22:00, 5.742,-9999 , 25.7, 1011.4, 0.010,-0.011, 96, 8.6, 7.0 +18-May-2020 23:00, 6.688,-9999 , 25.3, 1012.3, 0.067, 0.050, 86, 7.9, 5.3 +19-May-2020 00:00, 7.422,-9999 , 25.3, 1013.0, 0.103, 0.094, 84, 7.4, 5.7 +19-May-2020 01:00, 7.699,-9999 , 25.8, 1013.4, 0.055, 0.054, 87, 9.9, 7.3 +19-May-2020 02:00, 7.484,-9999 , 28.3, 1012.6, 0.084, 0.084, 78, 9.9, 9.0 +19-May-2020 03:00, 6.828,-9999 , 29.3, 1012.5, 0.134, 0.127, 86, 11.8, 7.3 +19-May-2020 04:00, 5.883,-9999 , 29.4, 1012.0, 0.088, 0.081, 80, 9.3, 5.9 +19-May-2020 05:00, 4.884,-9999 , 29.1, 1010.2, 0.044, 0.029, 71, 10.9, 7.8 +19-May-2020 06:00, 4.015,-9999 , 28.9, 1010.4, 0.022,-0.009, 90, 7.7, 4.8 +19-May-2020 07:00, 3.499,-9999 , 28.4, 1011.4, 0.044, 0.016, 28, 7.0, 2.9 +19-May-2020 08:00, 3.569,-9999 , 27.8, 1012.7, 0.078, 0.061, 69, 5.3, 2.6 +19-May-2020 09:00, 4.166,-9999 , 26.2, 1013.2, 0.004,-0.002, 45, 9.2, 5.6 +19-May-2020 10:00, 5.085,-9999 , 24.3, 1014.3,-0.077,-0.075, 11, 7.4, 5.4 +19-May-2020 11:00, 6.146,-9999 , 24.2, 1014.2,-0.067,-0.057, 6, 7.0, 5.4 +19-May-2020 12:00, 7.068,-9999 , 24.0, 1015.8,-0.055,-0.043, 22, 7.3, 4.1 +19-May-2020 13:00, 7.665,-9999 , 23.5, 1015.5,-0.006, 0.019, 34, 7.4, 5.1 +19-May-2020 14:00, 7.646,-9999 , 23.4, 1015.8, 0.060, 0.084, 35, 7.4, 3.9 +19-May-2020 15:00, 7.034,-9999 , 23.4, 1015.5, 0.138, 0.163, 35, 7.3, 4.1 +19-May-2020 16:00, 6.072,-9999 , 22.8, 1015.4, 0.124, 0.146, 33, 6.9, 4.4 +19-May-2020 17:00, 4.997,-9999 , 22.5, 1015.2, 0.050, 0.071, 47, 7.2, 5.7 +19-May-2020 18:00, 4.028,-9999 , 21.9, 1014.6,-0.001, 0.018, 59, 8.3, 6.2 +19-May-2020 19:00, 3.414,-9999 , 21.8, 1014.6, 0.022, 0.035, 69, 8.6, 6.5 +19-May-2020 20:00, 3.349,-9999 , 21.4, 1014.4, 0.028, 0.041, 46, 9.2, 5.9 +19-May-2020 21:00, 3.992,-9999 , 21.5, 1014.4, 0.006, 0.018, 81, 8.0, 4.6 +19-May-2020 22:00, 5.024,-9999 , 21.7, 1014.4,-0.047,-0.036, 77, 6.9, 5.5 +19-May-2020 23:00, 6.208,-9999 , 21.7, 1015.3,-0.036,-0.024, 76, 7.9, 5.2 +20-May-2020 00:00, 7.368,-9999 , 22.0, 1016.3, 0.058, 0.080, 81, 6.3, 5.1 +20-May-2020 01:00, 8.088,-9999 , 21.4, 1015.3, 0.043, 0.074, 52, 7.7, 5.6 +20-May-2020 02:00, 8.167,-9999 , 21.4, 1014.3, 0.034, 0.053, 54, 10.9, 7.8 +20-May-2020 03:00, 7.641,-9999 , 22.6, 1015.3, 0.167, 0.178, 131, 11.0, 7.5 +20-May-2020 04:00, 6.609,-9999 , 23.2, 1014.9, 0.186, 0.207, 128, 9.8, 6.4 +20-May-2020 05:00, 5.296, 25.4, 22.9, 1014.1, 0.031, 0.047, 112, 8.9, 7.1 +20-May-2020 06:00, 4.032, 25.1, 23.6, 1013.8,-0.089,-0.081, 101, 9.6, 7.6 +20-May-2020 07:00, 3.060, 25.0, 23.6, 1013.4,-0.130,-0.125, 84, 9.5, 8.3 +20-May-2020 08:00, 2.638, 24.8, 23.7, 1013.6,-0.155,-0.153, 92, 10.7, 8.8 +20-May-2020 09:00, 3.107, 24.9, 23.6, 1014.1,-0.137,-0.133, 86, 10.6, 7.8 +20-May-2020 10:00, 4.220, 25.2, 23.5, 1014.2,-0.093,-0.084, 84, 9.5, 7.4 +20-May-2020 11:00, 5.475, 25.3, 23.5, 1014.6,-0.101,-0.092, 89, 9.2, 7.5 +20-May-2020 12:00, 6.692, 25.3, 23.6, 1014.9,-0.129,-0.115, 98, 9.6, 7.6 +20-May-2020 13:00, 7.659, 25.4, 23.4, 1015.4,-0.144,-0.127, 98, 9.4, 7.7 +20-May-2020 14:00, 8.029, 25.4, 23.1, 1015.4,-0.143,-0.121, 93, 9.7, 7.4 +20-May-2020 15:00, 7.626, 25.4, 22.9, 1014.8,-0.066,-0.045, 99, 9.5, 7.8 +20-May-2020 16:00, 6.671, 25.3, 22.7, 1014.2, 0.001, 0.016, 101, 10.0, 8.2 +20-May-2020 17:00, 5.513, 25.2, 22.3, 1014.2, 0.003, 0.012, 100, 11.0, 8.7 +20-May-2020 18:00, 4.334, 24.8, 22.1, 1013.8,-0.020,-0.011, 108, 11.0, 8.6 +20-May-2020 19:00, 3.333, 24.6, 22.2, 1013.9,-0.034,-0.029, 109, 10.3, 7.5 +20-May-2020 20:00, 2.809, 24.3, 21.7, 1013.9,-0.032,-0.025, 131, 11.1, 7.9 +20-May-2020 21:00, 3.115, 24.3, 21.6, 1014.0,-0.066,-0.060, 120, 10.4, 9.2 +20-May-2020 22:00, 4.199, 25.0, 21.6, 1014.7,-0.088,-0.080, 110, 11.4, 8.5 +20-May-2020 23:00, 5.561, 25.2, 21.3, 1014.7,-0.092,-0.078, 99, 11.9, 10.1 +21-May-2020 00:00, 6.925, 25.0, 21.7, 1015.8,-0.090,-0.074, 104, 12.1, 7.3 +21-May-2020 01:00, 8.065, 25.1, 21.9, 1015.5,-0.065,-0.040, 92, 10.9, 8.8 +21-May-2020 02:00, 8.537, 25.1, 22.5, 1015.5,-0.112,-0.089, 88, 10.8, 8.6 +21-May-2020 03:00, 8.167, 25.2, 22.8, 1015.0,-0.096,-0.074, 87, 10.4, 8.0 +21-May-2020 04:00, 7.177, 25.0, 23.2, 1014.4, 0.001, 0.018, 92, 9.7, 7.5 +21-May-2020 05:00, 5.893, 25.0, 23.3, 1013.6, 0.026, 0.036, 91, 9.4, 6.7 +21-May-2020 06:00, 4.491, 24.6, 23.6, 1013.7,-0.025,-0.022, 93, 10.9, 8.5 +21-May-2020 07:00, 3.227, 24.5, 23.6, 1013.8,-0.042,-0.036, 92, 12.3, 5.9 +21-May-2020 08:00, 2.395, 24.1, 23.6, 1011.8,-0.019,-0.017, 88, 13.2, 10.5 +21-May-2020 09:00, 2.370, 24.2, 23.6, 1013.8,-0.054,-0.066, 100, 11.9, 4.7 +21-May-2020 10:00, 3.325, 24.5, 23.6, 1014.7,-0.064,-0.057, 112, 10.2, 5.0 +21-May-2020 11:00, 4.690, 24.8, 23.6, 1015.0,-0.079,-0.064, 106, 8.5, 5.6 +21-May-2020 12:00, 6.050, 24.8, 23.4, 1014.3,-0.184,-0.165, 85, 12.0, 10.1 +21-May-2020 13:00, 7.334, 24.9, 23.3, 1013.0,-0.239,-0.233, 79, 11.5, 9.9 +21-May-2020 14:00, 8.278, 24.9, 23.4, 1016.6,-0.140,-0.137, 144, 11.3, 4.9 +21-May-2020 15:00, 8.234, 24.9, 23.1, 1013.5,-0.132,-0.103, 107, 10.0, 8.3 +21-May-2020 16:00, 7.319, 25.0, 22.9, 1014.7,-0.134,-0.130, 113, 10.1, 7.4 +21-May-2020 17:00, 6.261, 24.8, 22.9, 1014.6, 0.061, 0.076, 119, 9.0, 7.1 +21-May-2020 18:00, 4.857, 24.8, 22.8, 1014.0,-0.030,-0.017, 122, 10.3, 8.2 +21-May-2020 19:00, 3.577, 24.5, 22.6, 1014.3,-0.060,-0.051, 138, 9.5, 6.4 +21-May-2020 20:00, 2.686, 24.1, 21.9, 1012.2,-0.014,-0.006, 117, 11.0, 7.2 +21-May-2020 21:00, 2.475, 24.1, 21.7, 1012.7,-0.063,-0.073, 112, 10.1, 8.0 +21-May-2020 22:00, 3.385, 24.3, 21.6, 1013.2,-0.052,-0.057, 116, 11.7, 7.9 +21-May-2020 23:00, 4.879, 24.7, 21.9, 1013.5,-0.028,-0.027, 113, 9.8, 7.4 +22-May-2020 00:00, 6.377, 24.6, 21.9, 1013.2,-0.097,-0.096, 121, 10.6, 7.8 +22-May-2020 01:00, 7.749, 24.8, 23.0, 1013.5,-0.167,-0.168, 90, 9.8, 7.8 +22-May-2020 02:00, 8.702, 24.7, 24.1, 1014.0,-0.160,-0.157, 96, 10.8, 7.7 +22-May-2020 03:00, 8.761, 24.8, 25.1, 1013.5,-0.142,-0.135, 103, 9.4, 7.3 +22-May-2020 04:00, 7.879, 24.9, 26.1, 1012.4,-0.101,-0.100, 103, 9.6, 6.9 +22-May-2020 05:00, 6.542, 24.8, 26.7, 1011.5,-0.061,-0.070, 90, 9.1, 6.5 +22-May-2020 06:00, 5.079, 24.6, 27.7, 1011.0,-0.050,-0.068, 109, 8.4, 5.9 +22-May-2020 07:00, 3.612, 24.6, 27.8, 1010.9,-0.039,-0.061, 106, 8.0, 6.4 +22-May-2020 08:00, 2.411, 24.5, 27.8, 1011.1,-0.007,-0.030, 109, 9.6, 8.0 +22-May-2020 09:00, 1.880, 24.4, 26.4, 1012.0,-0.005,-0.026, 100, 9.9, 7.2 +22-May-2020 10:00, 2.469, 24.5, 25.5, 1013.0,-0.023,-0.034, 109, 10.0, 8.4 +22-May-2020 11:00, 3.830, 24.7, 24.8, 1014.1,-0.045,-0.046, 111, 10.3, 7.6 +22-May-2020 12:00, 5.339, 24.8, 24.0, 1015.2,-0.114,-0.104, 104, 11.9, 9.6 +22-May-2020 13:00, 6.793, 24.7, 23.5, 1015.5,-0.243,-0.224, 104, 13.1, 10.0 +22-May-2020 14:00, 8.002, 24.6, 23.0, 1015.8,-0.294,-0.272, 102, 12.3, 9.6 +22-May-2020 15:00, 8.511, 24.6, 22.1, 1015.7,-0.246,-0.221, 96, 12.4, 9.1 +22-May-2020 16:00, 7.983, 24.7, 21.7, 1015.7,-0.192,-0.168, 95, 12.2, 10.2 +22-May-2020 17:00, 6.818, 24.6, 20.8, 1015.8,-0.132,-0.108, 96, 12.6, 10.6 +22-May-2020 18:00, 5.472, 24.4, 20.0, 1015.6,-0.097,-0.072, 95, 14.2, 11.4 +22-May-2020 19:00, 4.071, 24.1, 19.6, 1015.1,-0.077,-0.054, 91, 14.6, 11.5 +22-May-2020 20:00, 2.846, 23.6, 19.2, 1015.0,-0.051,-0.033, 93, 15.7, 11.7 +22-May-2020 21:00, 2.156, 23.2, 18.7, 1015.2,-0.067,-0.049, 92, 14.6, 11.7 +22-May-2020 22:00, 2.549, 23.5, 18.0, 1015.6,-0.107,-0.088, 89, 14.6, 11.5 +22-May-2020 23:00, 3.923, 24.2, 17.8, 1016.1,-0.139,-0.115, 93, 14.3, 11.2 +23-May-2020 00:00, 5.555, 24.0, 18.8, 1016.8,-0.194,-0.165, 82, 14.4, 10.7 +23-May-2020 01:00, 7.142, 24.3, 21.0, 1016.9,-0.277,-0.242, 88, 13.8, 11.4 +23-May-2020 02:00, 8.441, 24.2, 23.0, 1016.3,-0.314,-0.278, 86, 16.4, 12.4 +23-May-2020 03:00, 9.003, 24.4, 24.0, 1015.6,-0.270,-0.240, 89, 17.9, 13.9 +23-May-2020 04:00, 8.542, 24.4, 24.8, 1014.5,-0.163,-0.141, 93, 16.9, 11.6 +23-May-2020 05:00, 7.325, 24.4, 25.6, 1013.4,-0.059,-0.048, 88, 15.2, 10.2 +23-May-2020 06:00, 5.840, 24.2, 26.3, 1012.4,-0.032,-0.032, 88, 13.4, 9.6 +23-May-2020 07:00, 4.262, 23.9, 26.8, 1012.0,-0.027,-0.036, 89, 11.2, 8.5 +23-May-2020 08:00, 2.803, 23.7, 26.9, 1012.1, 0.020, 0.007, 95, 10.7, 8.5 +23-May-2020 09:00, 1.787, 23.6, 25.9, 1012.7, 0.024, 0.013, 92, 10.0, 7.7 +23-May-2020 10:00, 1.804, 23.4, 25.1, 1013.5, 0.001,-0.004, 89, 9.5, 7.5 +23-May-2020 11:00, 2.983, 23.9, 24.4, 1014.2, 0.001, 0.004, 97, 9.5, 7.5 +23-May-2020 12:00, 4.553, 24.2, 24.0, 1014.8,-0.038,-0.028, 95, 10.3, 8.5 +23-May-2020 13:00, 6.147, 24.1, 23.5, 1015.3,-0.123,-0.107, 96, 11.3, 9.2 +23-May-2020 14:00, 7.634, 24.2, 22.9, 1015.5,-0.200,-0.180, 99, 12.1, 9.1 +23-May-2020 15:00, 8.633, 24.1, 22.6, 1015.7,-0.155,-0.133, 103, 12.4, 10.6 +23-May-2020 16:00, 8.547, 24.1, 21.5, 1015.7,-0.147,-0.123, 97, 12.3, 9.6 +23-May-2020 17:00, 7.525, 24.1, 20.5, 1015.5,-0.140,-0.116, 93, 11.3, 9.9 +23-May-2020 18:00, 6.211, 24.0, 19.4, 1015.4,-0.086,-0.063, 79, 11.1, 6.5 +23-May-2020 19:00, 4.756,-9999 , 19.5, 1014.8,-0.081,-0.060, 84, 10.9, 9.3 +23-May-2020 20:00, 3.344,-9999 , 18.8, 1014.7,-0.039,-0.023, 80, 12.8, 9.9 +23-May-2020 21:00, 2.293,-9999 , 18.1, 1014.9,-0.007, 0.007, 77, 12.9, 9.3 +23-May-2020 22:00, 2.102,-9999 , 17.3, 1015.6,-0.042,-0.025, 68, 10.9, 7.5 +23-May-2020 23:00, 3.166,-9999 , 18.0, 1016.2,-0.058,-0.034, 74, 10.4, 7.4 +24-May-2020 00:00, 4.813,-9999 , 18.5, 1016.3,-0.115,-0.085, 74, 12.0, 9.0 +24-May-2020 01:00, 6.479,-9999 , 20.9, 1015.8,-0.217,-0.187, 76, 13.6, 10.4 +24-May-2020 02:00, 8.121,-9999 , 22.8, 1015.6,-0.197,-0.171, 81, 14.3, 9.0 +24-May-2020 03:00, 9.228,-9999 , 24.4, 1014.6,-0.080,-0.058, 87, 11.6, 8.4 +24-May-2020 04:00, 9.153,-9999 , 25.5, 1013.8,-0.068,-0.056, 89, 10.6, 7.3 +24-May-2020 05:00, 8.082,-9999 , 27.0, 1013.2,-0.041,-0.036, 100, 9.1, 5.3 +24-May-2020 06:00, 6.561,-9999 , 28.2, 1012.3,-0.066,-0.067, 102, 6.6, 4.4 +24-May-2020 07:00, 4.900,-9999 , 29.0, 1012.3,-0.168,-0.178, 103, 4.7, 3.9 +24-May-2020 08:00, 3.334,-9999 , 28.2, 1012.3,-0.110,-0.119, 148, 3.7, 3.1 +24-May-2020 09:00, 2.052,-9999 , 27.6, 1012.7,-0.022,-0.031, 131, 3.8, 2.9 +24-May-2020 10:00, 1.594,-9999 , 24.1, 1013.3, 0.079, 0.074, 315, 5.8, 4.9 +24-May-2020 11:00, 2.357,-9999 , 23.9, 1014.0, 0.135, 0.136, 309, 5.0, 4.4 +24-May-2020 12:00, 3.864,-9999 , 22.2, 1014.4, 0.117, 0.125, 335, 4.2, 3.3 +24-May-2020 13:00, 5.454,-9999 , 22.6, 1014.3, 0.042, 0.053, 7, 4.1, 2.0 +24-May-2020 14:00, 7.029,-9999 , 22.1, 1014.6,-0.064,-0.053, 50, 3.5, 0.9 +24-May-2020 15:00, 8.353,-9999 , 22.0, 1014.3,-0.090,-0.077, 34, 4.5, 2.8 +24-May-2020 16:00, 8.870,-9999 , 21.4, 1013.9,-0.026,-0.016, 66, 5.2, 3.7 +24-May-2020 17:00, 8.215,-9999 , 21.5, 1013.2,-0.034,-0.028, 47, 4.6, 2.7 +24-May-2020 18:00, 6.971,-9999 , 20.7, 1011.9,-0.005,-0.007, 58, 5.6, 4.3 +24-May-2020 19:00, 5.628,-9999 , 19.9, 1011.6, 0.056, 0.043, 56, 5.5, 3.5 +24-May-2020 20:00, 4.196,-9999 , 19.5, 1010.9, 0.117, 0.100, 63, 5.5, 4.8 +24-May-2020 21:00, 2.896,-9999 , 18.5, 1010.5, 0.160, 0.136, 61, 6.4, 4.9 +24-May-2020 22:00, 2.197,-9999 , 18.8, 1011.0, 0.146, 0.120, 60, 6.9, 2.3 +24-May-2020 23:00, 2.771,-9999 , 18.9, 1011.5, 0.207, 0.184, 53, 7.2, 2.8 +25-May-2020 00:00, 4.328, 23.5, 19.9, 1012.7, 0.226, 0.210, 73, 6.6, 4.2 +25-May-2020 01:00, 6.023, 23.6, 21.4, 1013.1, 0.148, 0.143, 75, 6.7, 4.3 +25-May-2020 02:00, 7.686, 23.6, 23.8, 1012.3, 0.089, 0.088, 83, 7.3, 6.0 +25-May-2020 03:00, 8.978, 23.6, 27.3, 1011.3, 0.015, 0.004, 340, 10.5, 8.2 +25-May-2020 04:00, 9.432, 23.6, 27.7, 1010.5, 0.016,-0.004, 336, 10.3, 6.7 +25-May-2020 05:00, 8.801, 23.7, 28.4, 1009.1, 0.074, 0.046, 341, 9.5, 7.4 +25-May-2020 06:00, 7.435, 23.7, 29.0, 1008.4, 0.102, 0.060, 340, 9.4, 7.5 +25-May-2020 07:00, 5.900, 23.6, 28.1, 1008.8, 0.068, 0.020, 336, 10.6, 7.1 +25-May-2020 08:00, 4.318, 23.7, 27.7, 1009.2, 0.049, 0.006, 349, 9.4, 6.0 +25-May-2020 09:00, 2.857, 23.5, 28.3, 1009.2, 0.122, 0.082, 359, 9.2, 7.4 +25-May-2020 10:00, 1.877, 23.4, 28.0, 1009.5, 0.162, 0.122, 359, 11.4, 7.7 +25-May-2020 11:00, 1.996, 23.4, 27.2, 1010.2, 0.211, 0.175, 2, 12.3, 7.7 +25-May-2020 12:00, 3.178, 23.6, 26.4, 1010.3, 0.176, 0.146, 17, 10.8, 6.7 +25-May-2020 13:00, 4.709, 23.6, 26.3, 1010.2, 0.109, 0.080, 9, 9.8, 6.9 +25-May-2020 14:00, 6.348, 23.6, 26.0, 1010.2, 0.133, 0.103, 16, 8.9, 6.4 +25-May-2020 15:00, 7.858, 23.7, 26.0, 1009.8, 0.103, 0.073, 17, 8.6, 5.6 +25-May-2020 16:00, 8.816, 23.6, 26.1, 1009.0, 0.116, 0.080, 8, 9.2, 7.5 +25-May-2020 17:00, 8.768, 23.6, 24.8, 1008.9, 0.179, 0.136, 8, 9.7, 5.4 +25-May-2020 18:00, 7.742, 23.6, 24.3, 1008.8, 0.175, 0.132, 353, 6.7, 4.0 +25-May-2020 19:00, 6.419, 23.7, 24.7, 1008.4, 0.177, 0.132, 16, 9.1, 5.5 +25-May-2020 20:00, 4.990, 23.7, 23.5, 1008.8, 0.143, 0.095, 205, 10.4, 4.9 +25-May-2020 21:00, 3.566, 23.6, 23.5, 1009.1, 0.139, 0.095, 345, 3.9, 3.4 +25-May-2020 22:00, 2.568, 23.6, 23.6, 1009.5, 0.178, 0.137, 241, 3.6, 2.2 +25-May-2020 23:00, 2.496, 23.5, 23.4, 1009.8, 0.214, 0.177, 241, 3.5, 0.8 +26-May-2020 00:00, 3.564, 23.6, 23.5, 1010.2, 0.184, 0.150, 212, 3.4, 2.3 +26-May-2020 01:00, 5.221, 23.6, 24.1, 1010.8, 0.156, 0.126, 231, 4.6, 1.1 +26-May-2020 02:00, 6.931, 23.6, 25.9, 1010.4, 0.187, 0.163, 203, 2.7, 0.9 +26-May-2020 03:00, 8.336, 23.6, 26.2, 1010.0, 0.064, 0.035, 218, 3.9, 2.6 +26-May-2020 04:00, 9.102, 23.6, 25.3, 1009.5,-0.097,-0.130, 218, 5.2, 3.9 +26-May-2020 05:00, 8.919, 23.6, 25.1, 1008.8,-0.144,-0.182, 231, 5.0, 3.9 +26-May-2020 06:00, 7.908, 23.7, 24.7, 1008.5,-0.051,-0.095, 246, 5.5, 4.3 +26-May-2020 07:00, 6.526, 23.8, 25.6, 1008.2, 0.005,-0.043, 222, 5.7, 3.2 +26-May-2020 08:00, 5.031, 23.9, 25.0, 1008.8,-0.056,-0.106, 216, 4.1, 3.0 +26-May-2020 09:00, 3.589, 23.9, 24.8, 1009.4,-0.004,-0.048, 166, 7.5, 5.7 +26-May-2020 10:00, 2.409, 23.8, 23.9, 1010.3, 0.080, 0.043, 160, 9.1, 8.1 +26-May-2020 11:00, 1.915, 23.8, 22.8, 1011.3, 0.089, 0.061, 139, 10.2, 7.1 +26-May-2020 12:00, 2.526, 23.7, 21.3, 1012.0, 0.044, 0.025, 143, 10.4, 8.3 +26-May-2020 13:00, 3.824, 23.7, 20.8, 1012.6,-0.071,-0.083, 133, 10.5, 6.9 +26-May-2020 14:00, 5.298, 23.7, 20.8, 1012.9,-0.081,-0.087, 129, 8.8, 7.2 +26-May-2020 15:00, 6.783, 23.7, 20.7, 1013.1,-0.081,-0.084, 127, 9.2, 6.3 +26-May-2020 16:00, 7.994, 23.6, 20.5, 1013.3,-0.112,-0.113, 149, 8.6, 6.6 +26-May-2020 17:00, 8.464, 23.6, 20.3, 1013.0,-0.093,-0.093, 143, 9.1, 6.3 +26-May-2020 18:00, 7.919, 23.6, 19.8, 1012.9,-0.071,-0.073, 135, 9.7, 7.4 +26-May-2020 19:00, 6.796, 23.6, 19.5, 1012.4,-0.031,-0.035, 116, 10.2, 7.8 +26-May-2020 20:00, 5.528, 23.5, 19.5, 1012.3,-0.033,-0.042, 97, 8.8, 7.5 +26-May-2020 21:00, 4.208, 23.5, 19.4, 1012.6,-0.027,-0.037, 103, 9.4, 7.3 +26-May-2020 22:00, 3.080, 23.5, 19.5, 1013.0, 0.030, 0.024, 110, 9.2, 6.6 +26-May-2020 23:00, 2.502, 23.6, 19.6, 1013.5, 0.029, 0.027, 108, 9.0, 6.3 +27-May-2020 00:00, 2.962, 23.5, 19.9, 1014.3, 0.021, 0.024, 134, 8.2, 3.2 +27-May-2020 01:00, 4.303, 23.5, 20.2, 1014.7,-0.028,-0.017, 155, 7.0, 4.0 +27-May-2020 02:00, 5.869, 23.5, 22.0, 1014.3,-0.034,-0.020, 138, 7.4, 3.3 +27-May-2020 03:00, 7.321, 23.5, 23.0, 1013.6,-0.059,-0.050, 124, 8.3, 4.6 +27-May-2020 04:00, 8.418, 23.5, 23.5, 1012.7,-0.152,-0.149, 99, 8.0, 4.7 +27-May-2020 05:00, 8.807, 23.6, 24.4, 1011.6,-0.181,-0.188, 102, 6.3, 5.0 +27-May-2020 06:00, 8.255, 23.7, 25.8, 1011.2,-0.136,-0.152, 116, 5.2, 3.1 +27-May-2020 07:00, 7.064, 23.8, 26.5, 1011.1,-0.080,-0.101, 154, 3.2, 2.4 +27-May-2020 08:00, 5.729, 23.8, 27.2, 1011.3,-0.089,-0.109, 163, 2.7, 1.1 +27-May-2020 09:00, 4.346, 23.8, 24.9, 1011.4,-0.140,-0.159, 133, 2.8, 2.4 +27-May-2020 10:00, 3.116, 23.8, 24.1, 1012.2,-0.076,-0.093, 131, 7.4, 6.2 +27-May-2020 11:00, 2.304, 23.7, 23.2, 1013.1,-0.034,-0.043, 131, 9.5, 8.0 +27-May-2020 12:00, 2.331, 23.7, 22.4, 1013.9,-0.033,-0.033, 125, 10.8, 8.3 +27-May-2020 13:00, 3.262, 23.6, 22.2, 1014.2,-0.089,-0.082, 121, 11.2, 8.5 +27-May-2020 14:00, 4.533, 23.6, 21.8, 1014.2,-0.140,-0.130, 126, 10.8, 9.6 +27-May-2020 15:00, 5.869, 23.6, 21.6, 1014.2,-0.102,-0.092, 122, 10.9, 8.1 +27-May-2020 16:00, 7.136, 23.5, 21.6, 1014.3,-0.096,-0.086, 110, 11.4, 8.8 +27-May-2020 17:00, 7.976, 23.5, 21.3, 1014.2,-0.112,-0.102, 114, 10.0, 7.0 +27-May-2020 18:00, 7.953, 23.5, 21.2, 1013.7,-0.148,-0.139, 110, 9.0, 7.2 +27-May-2020 19:00, 7.188, 23.5, 21.0, 1013.6,-0.109,-0.104, 105, 8.6, 6.3 +27-May-2020 20:00, 6.124, 23.4, 20.9, 1013.1,-0.061,-0.058, 103, 9.8, 8.2 +27-May-2020 21:00, 4.962, 23.5, 20.9, 1012.9,-0.069,-0.071, 101, 11.2, 8.7 +27-May-2020 22:00, 3.862, 23.5, 20.7, 1013.6,-0.020,-0.023, 99, 9.9, 7.4 +27-May-2020 23:00, 3.074, 23.5, 21.1, 1014.0, 0.016, 0.020, 100, 9.6, 7.8 +28-May-2020 00:00, 2.950, 23.4, 21.0, 1014.3, 0.000, 0.008, 94, 11.2, 8.2 +28-May-2020 01:00, 3.762, 23.4, 22.3, 1014.4,-0.022,-0.011, 90, 9.4, 7.6 +28-May-2020 02:00, 5.073, 23.4, 23.0, 1014.0,-0.062,-0.051, 90, 9.1, 7.7 +28-May-2020 03:00, 6.424, 23.4, 23.9, 1013.2,-0.040,-0.034, 88, 8.7, 6.4 +28-May-2020 04:00, 7.629, 23.4, 25.4, 1012.7,-0.031,-0.031, 98, 7.5, 5.1 +28-May-2020 05:00, 8.360, 23.4, 26.9, 1011.6,-0.085,-0.091, 109, 6.0, 3.7 +28-May-2020 06:00, 8.302, 23.5, 27.2, 1011.2,-0.145,-0.161, 100, 4.5, 3.2 +28-May-2020 07:00, 7.515, 23.7, 26.0, 1011.2,-0.119,-0.140, 80, 7.4, 6.5 +28-May-2020 08:00, 6.389, 23.7, 25.1, 1011.7,-0.082,-0.102, 79, 6.7, 5.4 +28-May-2020 09:00, 5.193, 23.7, 23.8, 1012.2,-0.116,-0.131, 66, 8.7, 7.7 +28-May-2020 10:00, 4.027, 23.7, 23.2, 1012.9,-0.116,-0.126, 75, 8.8, 6.9 +28-May-2020 11:00, 3.104, 23.7, 22.7, 1013.5,-0.059,-0.062, 75, 8.5, 6.1 +28-May-2020 12:00, 2.687, 23.7, 22.4, 1014.0,-0.037,-0.034, 84, 7.4, 6.4 +28-May-2020 13:00, 3.055, 23.7, 22.1, 1014.5,-0.049,-0.041, 86, 8.7, 6.0 +28-May-2020 14:00, 3.996, 23.5, 21.8, 1014.4,-0.111,-0.098, 94, 7.4, 6.4 +28-May-2020 15:00, 5.120, 23.5, 21.6, 1014.1,-0.084,-0.073, 93, 9.0, 8.0 +28-May-2020 16:00, 6.268, 23.5, 21.6, 1014.1,-0.023,-0.015, 80, 9.6, 6.1 +28-May-2020 17:00, 7.260, 23.5, 21.2, 1013.9,-0.007, 0.002, 87, 8.2, 6.5 +28-May-2020 18:00, 7.751, 23.4, 21.1, 1013.5,-0.023,-0.017, 78, 8.1, 6.4 +28-May-2020 19:00, 7.482, 23.4, 21.0, 1013.2,-0.045,-0.043, 85, 8.3, 6.8 +28-May-2020 20:00, 6.678, 23.4, 20.9, 1013.0,-0.037,-0.038, 76, 8.6, 7.2 +28-May-2020 21:00, 5.721, 23.4, 21.1, 1013.4,-0.029,-0.031, 72, 9.1, 8.1 +28-May-2020 22:00, 4.740, 23.4, 21.1, 1014.0,-0.020,-0.018, 71, 8.6, 7.5 +28-May-2020 23:00, 3.889, 23.5, 21.1, 1014.9, 0.004, 0.013, 69, 9.4, 6.3 +29-May-2020 00:00, 3.445, 23.5, 21.5, 1015.2, 0.031, 0.048, 82, 7.8, 6.6 +29-May-2020 01:00, 3.694, 23.5, 22.4, 1015.4, 0.081, 0.101, 75, 7.7, 5.8 +29-May-2020 02:00, 4.548, 23.4, 23.7, 1015.1, 0.053, 0.074, 85, 7.1, 4.9 +29-May-2020 03:00, 5.610, 23.4, 25.1, 1014.5, 0.004, 0.022, 93, 5.8, 4.8 +29-May-2020 04:00, 6.662, 23.5, 25.8, 1014.1, 0.001, 0.013, 122, 5.4, 3.7 +29-May-2020 05:00, 7.498, 23.5, 26.0, 1013.2,-0.042,-0.035, 125, 4.7, 2.9 +29-May-2020 06:00, 7.860, 23.5, 25.5, 1012.8,-0.134,-0.135, 185, 3.0, 2.8 +29-May-2020 07:00, 7.637, 23.5, 25.2, 1012.7,-0.155,-0.159, 202, 3.5, 3.0 +29-May-2020 08:00, 6.960, 23.6, 24.9, 1013.0,-0.055,-0.060, 211, 3.3, 2.7 +29-May-2020 09:00, 6.015, 23.7, 25.3, 1013.7,-0.036,-0.038, 228, 3.5, 1.4 +29-May-2020 10:00, 5.004, 23.8, 25.1, 1014.1,-0.069,-0.064, 280, 4.2, 2.2 +29-May-2020 11:00, 4.119, 23.8, 25.2, 1014.6,-0.021,-0.012, 304, 2.7, 1.4 +29-May-2020 12:00, 3.492, 23.7, 24.8, 1015.2, 0.022, 0.036, 2, 2.2, 0.8 +29-May-2020 13:00, 3.301, 23.7, 24.1, 1015.3, 0.000, 0.020, 150, 3.6, 2.1 +29-May-2020 14:00, 3.699, 23.7, 23.8, 1015.3,-0.058,-0.038, 112, 3.3, 1.9 +29-May-2020 15:00, 4.503, 23.5, 24.1, 1015.3,-0.063,-0.042, 67, 2.3, 2.0 +29-May-2020 16:00, 5.425, 23.5, 23.8, 1015.0,-0.012, 0.008, 202, 2.1, 0.2 +29-May-2020 17:00, 6.320, 23.5, 23.7, 1015.1, 0.009, 0.027, 21, 4.1, 3.6 +29-May-2020 18:00, 7.028, 23.5, 23.4, 1014.3,-0.008, 0.009, 123, 3.3, 1.3 +29-May-2020 19:00, 7.331, 23.5, 23.5, 1014.2,-0.012,-0.002, 127, 3.2, 2.7 +29-May-2020 20:00, 7.071, 23.5, 23.4, 1014.2, 0.015, 0.024, 154, 4.9, 4.1 +29-May-2020 21:00, 6.406, 23.5, 23.4, 1014.5, 0.017, 0.027, 97, 4.6, 3.2 +29-May-2020 22:00, 5.581, 23.6, 23.5, 1014.8,-0.026,-0.014, 59, 3.8, 1.4 +29-May-2020 23:00, 4.796, 23.6, 24.1, 1015.1,-0.028,-0.012, 65, 4.5, 1.9 +30-May-2020 00:00, 4.237, 23.6, 24.6, 1015.7, 0.031, 0.050, 81, 6.0, 3.9 +30-May-2020 01:00, 4.004, 23.6, 24.4, 1016.0, 0.072, 0.097, 88, 5.9, 4.6 +30-May-2020 02:00, 4.255, 23.6, 26.9, 1015.5, 0.084, 0.111, 94, 5.2, 3.6 +30-May-2020 03:00, 4.881, 23.6, 27.6, 1014.6, 0.032, 0.053, 120, 4.0, 2.4 +30-May-2020 04:00, 5.650, 23.6, 28.5, 1013.9,-0.023,-0.010, 156, 4.2, 3.7 +30-May-2020 05:00, 6.427, 23.6, 26.4, 1013.1,-0.043,-0.038, 182, 4.2, 3.4 +30-May-2020 06:00, 7.024, 23.6, 26.3, 1012.4,-0.079,-0.082, 193, 4.7, 4.0 +30-May-2020 07:00, 7.260, 23.6, 26.1, 1012.4,-0.155,-0.164, 200, 5.3, 4.7 +30-May-2020 08:00, 7.128, 23.6, 25.5, 1012.6,-0.119,-0.127, 200, 5.3, 4.6 +30-May-2020 09:00, 6.628, 23.7, 25.2, 1013.2,-0.048,-0.054, 192, 5.0, 4.2 +30-May-2020 10:00, 5.880, 23.9, 25.3, 1013.9,-0.061,-0.061, 176, 4.7, 3.3 +30-May-2020 11:00, 5.102, 24.0, 25.8, 1014.7,-0.052,-0.044, 158, 4.2, 3.7 +30-May-2020 12:00, 4.438, 24.0, 25.3, 1015.3,-0.002, 0.013, 126, 4.4, 2.5 +30-May-2020 13:00, 4.003, 24.0, 25.9, 1015.5, 0.059, 0.080, 65, 2.9, 2.4 +30-May-2020 14:00, 3.880, 23.9, 26.3, 1015.5, 0.062, 0.085, 37, 3.3, 2.5 +30-May-2020 15:00, 4.113, 23.8, 25.2, 1015.2,-0.006, 0.016, 123, 3.7, 1.1 +30-May-2020 16:00, 4.655, 23.7, 24.6, 1015.2,-0.031,-0.011, 79, 2.7, 1.3 +30-May-2020 17:00, 5.351, 23.6, 24.6, 1015.2,-0.025,-0.005, 27, 1.9, 1.3 +30-May-2020 18:00, 6.034, 23.7, 24.6, 1014.8,-0.051,-0.032, 33, 1.7, 0.9 +30-May-2020 19:00, 6.615, 23.6, 23.6, 1014.9,-0.082,-0.067, 195, 2.6, 1.4 +30-May-2020 20:00, 6.930, 23.6, 23.7, 1014.8,-0.064,-0.048, 129, 2.2, 1.4 +30-May-2020 21:00, 6.830, 23.6, 23.4, 1015.1,-0.017,-0.002, 113, 1.3, 0.7 +30-May-2020 22:00, 6.402, 23.6, 23.6, 1015.7, 0.006, 0.024, 133, 3.9, 2.3 +30-May-2020 23:00, 5.823, 23.6, 24.3, 1016.6, 0.026, 0.051, 137, 4.1, 2.6 +31-May-2020 00:00, 5.238, 23.7, 25.5, 1017.3, 0.054, 0.088, 110, 4.6, 2.8 +31-May-2020 01:00, 4.707, 23.8, 25.7, 1017.5, 0.039, 0.080, 81, 3.1, 2.5 +31-May-2020 02:00, 4.392, 23.8, 27.6, 1017.3, 0.031, 0.074, 149, 2.8, 1.1 +31-May-2020 03:00, 4.417, 23.8, 29.0, 1016.3, 0.016, 0.055, 152, 2.7, 2.3 +31-May-2020 04:00, 4.724, 23.8, 29.7, 1015.3,-0.050,-0.021, 144, 3.9, 3.3 +31-May-2020 05:00, 5.237, 23.7, 29.7, 1014.3,-0.112,-0.093, 171, 4.3, 2.9 +31-May-2020 06:00, 5.793, 23.7, 29.2, 1013.8,-0.173,-0.163, 175, 4.5, 2.3 +31-May-2020 07:00, 6.330, 23.7, 29.2, 1013.6,-0.200,-0.195, 197, 4.5, 3.9 +31-May-2020 08:00, 6.667, 23.7, 28.5, 1013.8,-0.248,-0.244, 197, 4.4, 3.6 +31-May-2020 09:00, 6.754, 23.7, 28.0, 1014.0,-0.203,-0.198, 149, 4.5, 4.1 +31-May-2020 10:00, 6.584, 23.7, 27.0, 1014.8,-0.082,-0.074, 148, 6.5, 5.7 +31-May-2020 11:00, 6.094, 23.9, 26.7, 1015.5,-0.050,-0.034, 138, 6.5, 5.7 +31-May-2020 12:00, 5.454, 24.1, 25.8, 1016.2,-0.058,-0.034, 122, 6.3, 4.5 +31-May-2020 13:00, 4.854, 24.2, 25.5, 1016.2,-0.032,-0.003, 129, 6.0, 5.5 +31-May-2020 14:00, 4.389, 24.4, 25.4, 1016.4, 0.022, 0.052, 135, 7.6, 5.5 +31-May-2020 15:00, 4.102, 24.5, 25.0, 1016.3, 0.014, 0.045, 134, 7.6, 6.0 +31-May-2020 16:00, 4.074, 24.5, 24.8, 1016.0,-0.067,-0.037, 131, 7.7, 6.3 +31-May-2020 17:00, 4.399, 24.0, 24.5, 1016.0,-0.107,-0.080, 138, 9.3, 7.2 +31-May-2020 18:00, 4.936, 23.7, 24.4, 1015.7,-0.142,-0.116, 134, 10.1, 7.3 +31-May-2020 19:00, 5.550, 23.7, 24.2, 1015.9,-0.205,-0.181, 137, 11.3, 8.5 +31-May-2020 20:00, 6.160, 23.8, 24.0, 1016.2,-0.268,-0.241, 131, 12.4, 9.6 +31-May-2020 21:00, 6.601, 23.7, 23.7, 1016.5,-0.275,-0.245, 126, 11.6, 9.2 +31-May-2020 22:00, 6.766, 23.7, 23.3, 1016.9,-0.206,-0.174, 121, 12.7, 8.9 +31-May-2020 23:00, 6.603, 23.6, 23.1, 1017.7,-0.134,-0.097, 112, 12.3, 10.2 +01-Jun-2020 00:00, 6.177, 23.6, 23.6, 1018.3,-0.090,-0.045, 106, 12.1, 9.7 +01-Jun-2020 01:00, 5.621, 24.0, 24.6, 1018.7,-0.054,-0.003, 103, 11.3, 9.6 +01-Jun-2020 02:00, 5.030, 24.1, 25.5, 1018.0,-0.019, 0.035, 109, 12.0, 8.1 +01-Jun-2020 03:00, 4.530, 24.2, 26.5, 1017.0, 0.012, 0.058, 108, 9.8, 7.4 +01-Jun-2020 04:00, 4.191, 24.2, 27.0, 1016.0,-0.050,-0.014, 101, 9.6, 7.5 +01-Jun-2020 05:00, 4.169, 24.1, 28.1, 1014.8,-0.157,-0.131, 108, 9.4, 5.7 +01-Jun-2020 06:00, 4.523, 24.0, 28.4, 1014.1,-0.199,-0.184, 100, 6.9, 5.6 +01-Jun-2020 07:00, 5.124, 23.8, 28.9, 1013.7,-0.193,-0.185, 105, 5.8, 4.9 +01-Jun-2020 08:00, 5.802, 23.8, 28.9, 1013.8,-0.215,-0.210, 108, 5.4, 4.3 +01-Jun-2020 09:00, 6.366, 23.8, 27.7, 1014.2,-0.263,-0.257, 108, 5.4, 3.9 +01-Jun-2020 10:00, 6.749, 23.8, 25.5, 1014.9,-0.224,-0.214, 99, 4.4, 3.7 +01-Jun-2020 11:00, 6.890, 23.8, 25.3, 1015.6,-0.068,-0.051, 117, 4.9, 4.4 +01-Jun-2020 12:00, 6.588, 23.7, 25.1, 1016.2,-0.008, 0.016, 140, 5.2, 4.2 +01-Jun-2020 13:00, 5.963, 23.9, 24.6, 1016.2,-0.033,-0.004, 135, 6.9, 5.9 +01-Jun-2020 14:00, 5.249, 24.0, 24.1, 1016.0,-0.030, 0.000, 124, 9.3, 7.7 +01-Jun-2020 15:00, 4.569, 24.1, 24.0, 1015.9,-0.018, 0.009, 126, 9.3, 7.4 +01-Jun-2020 16:00, 4.046, 24.2, 23.4, 1015.9,-0.020, 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1011.5,-0.143,-0.160, 228, 4.7, 4.0 +08-Jun-2020 08:00, 4.088,-9999 , 26.5, 1011.7,-0.138,-0.155, 223, 4.9, 4.4 +08-Jun-2020 09:00, 2.503,-9999 , 25.2, 1012.1,-0.117,-0.132, 227, 5.5, 4.3 +08-Jun-2020 10:00, 1.378,-9999 , 24.9, 1012.6,-0.111,-0.122, 235, 5.4, 3.7 +08-Jun-2020 11:00, 1.360,-9999 , 24.0, 1013.3,-0.147,-0.153, 231, 5.1, 3.0 +08-Jun-2020 12:00, 2.564,-9999 , 23.3, 1013.9,-0.136,-0.135, 0, 3.5, 0.0 +08-Jun-2020 13:00, 4.222,-9999 , 22.5, 1014.2,-0.113,-0.106, 96, 2.0, 1.0 +08-Jun-2020 14:00, 5.968,-9999 , 22.5, 1014.3,-0.121,-0.112, 49, 1.6, 0.2 +08-Jun-2020 15:00, 7.634,-9999 , 22.7, 1014.1,-0.117,-0.107, 169, 2.7, 1.8 +08-Jun-2020 16:00, 8.756,-9999 , 22.4, 1014.1,-0.041,-0.033, 168, 2.4, 1.3 +08-Jun-2020 17:00, 8.702,-9999 , 22.5, 1014.0, 0.014, 0.022, 146, 2.9, 2.1 +08-Jun-2020 18:00, 7.634,-9999 , 22.0, 1013.8,-0.009,-0.002, 160, 4.7, 3.6 +08-Jun-2020 19:00, 6.269,-9999 , 22.1, 1013.4,-0.038,-0.033, 122, 4.2, 3.2 +08-Jun-2020 20:00, 4.814,-9999 , 21.7, 1013.3,-0.070,-0.068, 113, 5.2, 3.7 +08-Jun-2020 21:00, 3.393,-9999 , 21.6, 1013.3,-0.083,-0.083, 71, 5.1, 2.1 +08-Jun-2020 22:00, 2.301,-9999 , 21.2, 1013.8,-0.062,-0.062, 70, 5.6, 2.8 +08-Jun-2020 23:00, 2.101,-9999 , 21.3, 1014.6,-0.036,-0.030, 76, 4.7, 3.0 +09-Jun-2020 00:00, 3.156,-9999 , 22.2, 1015.1, 0.015, 0.029, 80, 5.6, 4.1 +09-Jun-2020 01:00, 4.802,-9999 , 23.4, 1015.4, 0.027, 0.046, 83, 5.4, 4.3 +09-Jun-2020 02:00, 6.499,-9999 , 25.5, 1015.0,-0.023,-0.002, 99, 6.5, 2.8 +09-Jun-2020 03:00, 8.056,-9999 , 27.2, 1014.6,-0.070,-0.053, 96, 5.5, 4.2 +09-Jun-2020 04:00, 9.105,-9999 , 29.7, 1013.8,-0.078,-0.066, 117, 4.5, 1.7 +09-Jun-2020 05:00, 9.101,-9999 , 27.5, 1013.0,-0.093,-0.089, 170, 3.1, 2.1 +09-Jun-2020 06:00, 8.068,-9999 , 28.5, 1012.6,-0.113,-0.115, 179, 4.1, 3.5 +09-Jun-2020 07:00, 6.613,-9999 , 27.6, 1012.3,-0.166,-0.173, 189, 3.9, 3.5 +09-Jun-2020 08:00, 5.082,-9999 , 29.6, 1012.5,-0.203,-0.212, 182, 4.2, 3.6 +09-Jun-2020 09:00, 3.558,-9999 , 27.3, 1012.9,-0.181,-0.188, 192, 3.7, 3.1 +09-Jun-2020 10:00, 2.238,-9999 , 25.2, 1013.7,-0.137,-0.139, 204, 3.4, 2.8 +09-Jun-2020 11:00, 1.578,-9999 , 24.3, 1014.5,-0.114,-0.109, 352, 4.2, 2.2 +09-Jun-2020 12:00, 2.098,-9999 , 24.1, 1015.1,-0.099,-0.086, 270, 3.5, 2.3 +09-Jun-2020 13:00, 3.481,-9999 , 23.9, 1015.4,-0.024,-0.006, 231, 2.9, 2.2 +09-Jun-2020 14:00, 5.041,-9999 , 24.0, 1015.3,-0.003, 0.018, 219, 3.3, 2.4 +09-Jun-2020 15:00, 6.610,-9999 , 23.5, 1015.2,-0.027,-0.007, 229, 2.7, 1.6 +09-Jun-2020 16:00, 7.983,-9999 , 23.1, 1015.3,-0.026,-0.007, 211, 2.3, 1.1 +09-Jun-2020 17:00, 8.627,-9999 , 22.7, 1014.9, 0.001, 0.021, 170, 1.4, 0.4 +09-Jun-2020 18:00, 8.119,-9999 , 22.2, 1014.5,-0.024,-0.008, 73, 1.3, 0.7 +09-Jun-2020 19:00, 6.994,-9999 , 21.6, 1014.6,-0.017,-0.005, 91, 4.6, 3.7 +09-Jun-2020 20:00, 5.748,-9999 , 21.4, 1014.6, 0.018, 0.031, 80, 4.4, 2.8 +09-Jun-2020 21:00, 4.409,-9999 , 22.1, 1014.7,-0.003, 0.010, 64, 4.4, 3.5 +09-Jun-2020 22:00, 3.176,-9999 , 22.5, 1015.2,-0.035,-0.020, 63, 7.9, 6.0 +09-Jun-2020 23:00, 2.432,-9999 , 21.6, 1015.7,-0.031,-0.011, 75, 8.5, 5.9 +10-Jun-2020 00:00, 2.709,-9999 , 22.1, 1016.3,-0.022, 0.003, 81, 9.2, 7.8 +10-Jun-2020 01:00, 3.915,-9999 , 23.0, 1016.4,-0.030, 0.001, 90, 9.6, 6.9 +10-Jun-2020 02:00, 5.435,-9999 , 25.7, 1015.9,-0.044,-0.013, 77, 9.2, 7.4 +10-Jun-2020 03:00, 6.952,-9999 , 27.1, 1015.1,-0.047,-0.021, 88, 9.9, 7.2 +10-Jun-2020 04:00, 8.218,-9999 , 27.9, 1014.1,-0.035,-0.018, 95, 8.2, 6.1 +10-Jun-2020 05:00, 8.843,-9999 , 28.2, 1013.2,-0.037,-0.030, 92, 6.4, 5.1 +10-Jun-2020 06:00, 8.452,-9999 , 29.4, 1012.6,-0.062,-0.063, 102, 5.5, 3.7 +10-Jun-2020 07:00, 7.316,-9999 , 30.6, 1012.0,-0.094,-0.101, 139, 3.7, 1.9 +10-Jun-2020 08:00, 5.999,-9999 , 31.5, 1011.9,-0.106,-0.119, 144, 3.1, 1.2 +10-Jun-2020 09:00, 4.636,-9999 , 30.4, 1012.1,-0.109,-0.122, 120, 3.0, 2.3 +10-Jun-2020 10:00, 3.311,-9999 , 26.9, 1012.5,-0.123,-0.134, 81, 4.1, 2.9 +10-Jun-2020 11:00, 2.344,-9999 , 25.8, 1013.2,-0.088,-0.095, 65, 4.1, 3.0 +10-Jun-2020 12:00, 2.182,-9999 , 24.3, 1013.7,-0.062,-0.062, 78, 4.1, 2.3 +10-Jun-2020 13:00, 3.043,-9999 , 23.9, 1013.9, 0.006, 0.011, 59, 4.0, 1.8 +10-Jun-2020 14:00, 4.352,-9999 , 23.4, 1014.2, 0.061, 0.068, 76, 3.4, 2.0 +10-Jun-2020 15:00, 5.704,-9999 , 22.9, 1013.9, 0.036, 0.045, 94, 3.3, 2.0 +10-Jun-2020 16:00, 6.985,-9999 , 22.7, 1013.7,-0.015,-0.008, 101, 4.6, 3.7 +10-Jun-2020 17:00, 8.023,-9999 , 22.8, 1013.6, 0.019, 0.023, 110, 5.7, 4.9 +10-Jun-2020 18:00, 8.274,-9999 , 22.2, 1013.3, 0.068, 0.071, 91, 6.1, 4.4 +10-Jun-2020 19:00, 7.529,-9999 , 22.2, 1013.1, 0.026, 0.027, 90, 6.2, 5.1 +10-Jun-2020 20:00, 6.417,-9999 , 21.9, 1012.7, 0.017, 0.015, 88, 6.1, 4.6 +10-Jun-2020 21:00, 5.264,-9999 , 21.9, 1013.0, 0.037, 0.032, 109, 6.6, 4.9 +10-Jun-2020 22:00, 4.099,-9999 , 20.2, 1013.6,-0.013,-0.015, 83, 6.9, 4.6 +10-Jun-2020 23:00, 3.163,-9999 , 21.0, 1014.3,-0.052,-0.048, 98, 5.6, 4.1 +11-Jun-2020 00:00, 2.886,-9999 , 21.4, 1014.8,-0.013,-0.001, 91, 6.5, 3.4 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,-9999,-9999 ,-9999 +12-Jun-2020 02:00, 4.345,-9999 ,-9999 ,-9999.0, 0.110,-9999 ,-9999,-9999 ,-9999 +12-Jun-2020 03:00, 5.316, 23.0, 27.1, 1011.7, 0.066, 0.059, 105, 4.2, 3.1 +12-Jun-2020 04:00, 6.286, 23.0, 28.2, 1010.8, 0.004,-0.016, 141, 3.4, 2.3 +12-Jun-2020 05:00, 7.137, 23.0, 26.6, 1009.6, 0.016,-0.008, 185, 3.1, 2.8 +12-Jun-2020 06:00, 7.682, 23.0, 27.3, 1009.3, 0.027,-0.011, 194, 3.3, 2.8 +12-Jun-2020 07:00, 7.634, 23.0, 27.5, 1009.2,-0.017,-0.057, 192, 3.5, 3.1 +12-Jun-2020 08:00, 7.018, 23.1, 28.8, 1009.3,-0.027,-0.067, 209, 3.1, 2.6 +12-Jun-2020 09:00, 6.116, 23.3, 28.1, 1009.5,-0.025,-0.064, 243, 2.8, 1.9 +12-Jun-2020 10:00, 5.120, 23.3, 25.7, 1010.2,-0.047,-0.084, 269, 3.4, 3.1 +12-Jun-2020 11:00, 4.220, 23.3, 25.0, 1010.6,-0.060,-0.090, 260, 5.1, 4.6 +12-Jun-2020 12:00, 3.518, 23.4, 24.8, 1011.2,-0.077,-0.102, 249, 5.6, 4.3 +12-Jun-2020 13:00, 3.283, 23.5, 24.6, 1011.3,-0.058,-0.079, 261, 5.0, 4.0 +12-Jun-2020 14:00, 3.675, 23.5, 24.0, 1011.6,-0.020,-0.039, 79, 4.7, 1.7 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26.8, 1012.5,-0.071,-0.071, 225, 4.9, 3.6 +13-Jun-2020 05:00, 6.126, 23.1, 25.8, 1011.8,-0.104,-0.112, 244, 5.5, 3.7 +13-Jun-2020 06:00, 6.743, 23.1, 25.7, 1011.2,-0.052,-0.067, 248, 5.5, 4.0 +13-Jun-2020 07:00, 7.098, 23.1, 26.3, 1011.2,-0.036,-0.056, 249, 5.6, 4.2 +13-Jun-2020 08:00, 7.059, 23.1, 25.6, 1011.5, 0.017,-0.003, 256, 5.9, 4.5 +13-Jun-2020 09:00, 6.555, 23.2, 25.1, 1011.9, 0.020, 0.003, 265, 6.2, 4.6 +13-Jun-2020 10:00, 5.812, 23.3, 24.7, 1012.5,-0.007,-0.020, 251, 5.7, 4.4 +13-Jun-2020 11:00, 5.035, 23.3, 24.3, 1013.1,-0.033,-0.040, 232, 6.3, 4.4 +13-Jun-2020 12:00, 4.330, 23.4, 24.0, 1013.6,-0.092,-0.093, 230, 5.1, 3.7 +13-Jun-2020 13:00, 3.871, 23.4, 23.4, 1014.1,-0.101,-0.097, 207, 4.5, 3.1 +13-Jun-2020 14:00, 3.814, 23.5, 23.2, 1014.3,-0.082,-0.073, 189, 3.7, 2.9 +13-Jun-2020 15:00, 4.168, 23.3, 22.7, 1014.3,-0.049,-0.039, 160, 3.2, 1.8 +13-Jun-2020 16:00, 4.775, 23.2, 22.6, 1014.2,-0.037,-0.027, 139, 3.2, 2.6 +13-Jun-2020 17:00, 5.509, 23.1, 22.5, 1013.9,-0.021,-0.012, 134, 2.8, 1.7 +13-Jun-2020 18:00, 6.224, 23.2, 22.6, 1013.7, 0.012, 0.018, 160, 3.7, 3.1 +13-Jun-2020 19:00, 6.743, 23.2, 22.2, 1013.3,-0.027,-0.023, 146, 4.8, 2.3 +13-Jun-2020 20:00, 6.969, 23.1, 22.1, 1013.4,-0.012,-0.012, 122, 5.5, 4.0 +13-Jun-2020 21:00, 6.766, 23.1, 22.5, 1013.5, 0.031, 0.033, 89, 5.6, 4.2 +13-Jun-2020 22:00, 6.212, 23.1, 21.5, 1014.3, 0.013, 0.016, 78, 5.8, 4.3 +13-Jun-2020 23:00, 5.598, 23.1, 21.7, 1014.9, 0.017, 0.028, 91, 4.9, 3.7 +14-Jun-2020 00:00, 5.054, 23.0, 22.2, 1015.6, 0.022, 0.039, 83, 6.1, 5.0 +14-Jun-2020 01:00, 4.591, 23.0, 23.0, 1016.0,-0.018, 0.006, 82, 6.5, 3.2 +14-Jun-2020 02:00, 4.371, 23.1, 25.5, 1015.2,-0.056,-0.029, 103, 3.6, 2.0 +14-Jun-2020 03:00, 4.493, 23.2, 28.1, 1014.5,-0.064,-0.045, 100, 3.5, 2.6 +14-Jun-2020 04:00, 4.860, 23.1, 28.9, 1013.6,-0.068,-0.056, 102, 4.1, 2.7 +14-Jun-2020 05:00, 5.339, 23.1, 30.7, 1012.7,-0.093,-0.091, 144, 3.0, 1.4 +14-Jun-2020 06:00, 5.782, 23.1, 29.3, 1012.4,-0.140,-0.145, 216, 3.1, 2.5 +14-Jun-2020 07:00, 6.248, 23.1, 28.2, 1012.2,-0.116,-0.125, 230, 3.8, 3.2 +14-Jun-2020 08:00, 6.566, 23.1, 29.7, 1012.4,-0.088,-0.098, 234, 3.9, 3.3 +14-Jun-2020 09:00, 6.583, 23.2, 27.2, 1013.1,-0.037,-0.044, 238, 4.6, 3.0 +14-Jun-2020 10:00, 6.280, 23.2, 25.6, 1013.7,-0.005,-0.006, 223, 6.5, 5.0 +14-Jun-2020 11:00, 5.726, 23.2, 25.0, 1014.5,-0.048,-0.042, 226, 6.3, 4.5 +14-Jun-2020 12:00, 5.115, 23.4, 24.2, 1015.1,-0.104,-0.091, 212, 5.0, 3.1 +14-Jun-2020 13:00, 4.637, 23.6, 24.3, 1015.5,-0.078,-0.059, 197, 4.1, 2.4 +14-Jun-2020 14:00, 4.326, 23.6, 24.0, 1015.5,-0.043,-0.020, 147, 3.3, 2.3 +14-Jun-2020 15:00, 4.239, 23.6, 23.6, 1015.3,-0.050,-0.027, 128, 3.9, 2.7 +14-Jun-2020 16:00, 4.457, 23.4, 23.8, 1015.0,-0.019, 0.001, 124, 7.3, 6.0 +14-Jun-2020 17:00, 4.882, 23.3, 23.6, 1014.7,-0.023,-0.006, 119, 7.7, 5.7 +14-Jun-2020 18:00, 5.364, 23.2, 23.5, 1014.2,-0.089,-0.075, 118, 7.8, 6.2 +14-Jun-2020 19:00, 5.892, 23.2, 23.4, 1014.1,-0.137,-0.128, 127, 7.8, 5.9 +14-Jun-2020 20:00, 6.380, 23.2, 23.2, 1014.0,-0.140,-0.132, 119, 9.2, 7.4 +14-Jun-2020 21:00, 6.648, 23.1, 23.0, 1014.4,-0.072,-0.064, 116, 9.5, 7.6 +14-Jun-2020 22:00, 6.607, 23.1, 22.9, 1014.9, 0.018, 0.030, 110, 9.8, 7.4 +14-Jun-2020 23:00, 6.276, 23.1, 22.8, 1015.4, 0.036, 0.052, 94, 9.1, 5.4 +15-Jun-2020 00:00, 5.809, 23.1, 23.2, 1015.8, 0.014, 0.035, 93, 6.3, 4.9 +15-Jun-2020 01:00, 5.315, 23.1, 24.7, 1015.9,-0.019, 0.006, 100, 7.2, 5.9 +15-Jun-2020 02:00, 4.894, 23.1, 26.0, 1015.4,-0.041,-0.015, 113, 6.9, 4.9 +15-Jun-2020 03:00, 4.634, 23.3, 27.7, 1014.4,-0.059,-0.038, 119, 5.4, 3.3 +15-Jun-2020 04:00, 4.571, 23.4, 29.6, 1013.3,-0.063,-0.052, 114, 2.8, 0.8 +15-Jun-2020 05:00, 4.643, 23.4, 29.4, 1012.1,-0.140,-0.141, 178, 2.3, 1.7 +15-Jun-2020 06:00, 4.966, 23.2, 30.6, 1011.7,-0.126,-0.138, 222, 3.0, 2.5 +15-Jun-2020 07:00, 5.464, 23.2, 30.6, 1011.6,-0.040,-0.056, 233, 3.0, 2.4 +15-Jun-2020 08:00, 5.938, 23.2, 30.1, 1011.9,-0.040,-0.056, 238, 3.4, 2.2 +15-Jun-2020 09:00, 6.301, 23.3, 26.0, 1012.4,-0.042,-0.055, 246, 6.7, 5.1 +15-Jun-2020 10:00, 6.451, 23.3, 25.6, 1013.1,-0.006,-0.013, 242, 7.2, 4.4 +15-Jun-2020 11:00, 6.334, 23.2, 25.3, 1013.8, 0.017, 0.017, 242, 7.0, 3.7 +15-Jun-2020 12:00, 5.942, 23.2, 25.4, 1014.3,-0.034,-0.028, 234, 6.4, 4.4 +15-Jun-2020 13:00, 5.429, 23.3, 24.7, 1014.5,-0.074,-0.063, 223, 5.6, 4.3 +15-Jun-2020 14:00, 4.964, 23.3, 24.6, 1014.2,-0.048,-0.036, 199, 4.9, 3.3 +15-Jun-2020 15:00, 4.598, 23.4, 23.9, 1013.5,-0.036,-0.027, 172, 4.2, 2.1 +15-Jun-2020 16:00, 4.406, 23.5, 23.6, 1013.2,-0.024,-0.022, 136, 3.3, 2.4 +15-Jun-2020 17:00, 4.474, 23.5, 22.8, 1013.2, 0.005, 0.005, 110, 3.6, 1.5 +15-Jun-2020 18:00, 4.760, 23.4, 22.6, 1012.6,-0.008,-0.009, 144, 3.5, 2.2 +15-Jun-2020 19:00, 5.227, 23.3, 23.3, 1012.4,-0.029,-0.036, 120, 3.9, 3.2 +15-Jun-2020 20:00, 5.799, 23.2, 22.9, 1012.4,-0.056,-0.065, 98, 4.9, 4.2 +15-Jun-2020 21:00, 6.310, 23.2, 22.4, 1012.8,-0.077,-0.085, 125, 6.8, 5.6 +15-Jun-2020 22:00, 6.672, 23.3, 21.9, 1013.2,-0.013,-0.017, 95, 6.1, 4.9 +15-Jun-2020 23:00, 6.821, 23.2, 22.1, 1013.7, 0.106, 0.106, 90, 6.1, 5.3 +16-Jun-2020 00:00, 6.612, 23.2, 22.2, 1014.1, 0.097, 0.102, 77, 6.7, 5.6 +16-Jun-2020 01:00, 6.167, 23.2, 23.7, 1014.3, 0.053, 0.062, 62, 8.6, 6.0 +16-Jun-2020 02:00, 5.645, 23.2, 25.4, 1014.1, 0.052, 0.062, 73, 8.0, 7.0 +16-Jun-2020 03:00, 5.074, 23.2, 27.3, 1013.8,-0.011,-0.003, 82, 7.7, 5.6 +16-Jun-2020 04:00, 4.579,-9999 , 29.4, 1013.1,-0.076,-0.072, 95, 6.0, 3.7 +16-Jun-2020 05:00, 4.309,-9999 , 31.6, 1012.4,-0.077,-0.079, 133, 4.2, 1.9 +16-Jun-2020 06:00, 4.254,-9999 , 28.9, 1011.9,-0.122,-0.132, 178, 3.2, 2.6 +16-Jun-2020 07:00, 4.491,-9999 , 30.5, 1011.6,-0.146,-0.160, 196, 3.6, 2.8 +16-Jun-2020 08:00, 5.040,-9999 , 30.0, 1011.8,-0.107,-0.124, 207, 3.4, 3.1 +16-Jun-2020 09:00, 5.683,-9999 , 27.9, 1012.3,-0.076,-0.090, 234, 3.5, 1.6 +16-Jun-2020 10:00, 6.190,-9999 , 25.5, 1012.9,-0.088,-0.097, 233, 4.0, 1.6 +16-Jun-2020 11:00, 6.521,-9999 , 24.2, 1013.8,-0.052,-0.055, 343, 5.4, 3.3 +16-Jun-2020 12:00, 6.594,-9999 , 24.6, 1014.2, 0.006, 0.011, 284, 4.9, 2.8 +16-Jun-2020 13:00, 6.267,-9999 , 25.6, 1014.7,-0.031,-0.021, 346, 7.0, 2.2 +16-Jun-2020 14:00, 5.718,-9999 , 25.2, 1014.8,-0.045,-0.031, 300, 2.6, 1.8 +16-Jun-2020 15:00, 5.150,-9999 , 23.9, 1014.8,-0.030,-0.014, 67, 2.0, 0.1 +16-Jun-2020 16:00, 4.647,-9999 , 23.1, 1014.5,-0.020,-0.005, 78, 2.8, 2.5 +16-Jun-2020 17:00, 4.306,-9999 , 22.7, 1014.7,-0.004, 0.009, 77, 6.2, 3.6 +16-Jun-2020 18:00, 4.226,-9999 , 24.6, 1014.4,-0.016,-0.002, 77, 6.5, 4.9 +16-Jun-2020 19:00, 4.494,-9999 , 23.5, 1014.3,-0.016,-0.005, 81, 7.3, 5.3 +16-Jun-2020 20:00, 5.082,-9999 , 23.5, 1014.6,-0.008, 0.003, 72, 7.7, 5.6 +16-Jun-2020 21:00, 5.812,-9999 , 22.6, 1014.6, 0.000, 0.013, 81, 8.4, 6.4 +16-Jun-2020 22:00, 6.460,-9999 , 21.9, 1015.1,-0.009, 0.005, 78, 8.7, 7.8 +16-Jun-2020 23:00, 6.945,-9999 , 22.1, 1015.7, 0.029, 0.048, 82, 10.9, 9.2 +17-Jun-2020 00:00, 7.147,-9999 , 22.4, 1016.4, 0.074, 0.099, 81, 11.1, 8.4 +17-Jun-2020 01:00, 6.920,-9999 , 23.0, 1016.6, 0.030, 0.061, 68, 9.9, 7.2 +17-Jun-2020 02:00, 6.401,-9999 , 25.6, 1016.3, 0.038, 0.071, 77, 9.6, 6.3 +17-Jun-2020 03:00, 5.702,-9999 , 26.7, 1015.7, 0.035, 0.065, 85, 8.8, 6.4 +17-Jun-2020 04:00, 4.937,-9999 , 27.9, 1015.1,-0.020, 0.004, 75, 7.7, 6.6 +17-Jun-2020 05:00, 4.237,-9999 , 28.3, 1014.2,-0.070,-0.052, 82, 8.3, 6.2 +17-Jun-2020 06:00, 3.761,-9999 , 29.5, 1013.9,-0.127,-0.118, 90, 7.2, 6.0 +17-Jun-2020 07:00, 3.713,-9999 , 30.4, 1013.8,-0.135,-0.129, 90, 5.8, 4.6 +17-Jun-2020 08:00, 4.179,-9999 , 30.5, 1013.7,-0.075,-0.070, 109, 4.8, 3.5 +17-Jun-2020 09:00, 4.947,-9999 , 29.3, 1014.0,-0.028,-0.024, 109, 4.4, 3.7 +17-Jun-2020 10:00, 5.759,-9999 , 26.0, 1014.5,-0.020,-0.012, 100, 5.7, 4.6 +17-Jun-2020 11:00, 6.503,-9999 , 26.7, 1015.1, 0.020, 0.033, 42, 5.7, 2.1 +17-Jun-2020 12:00, 6.960,-9999 , 25.9, 1015.6, 0.036, 0.055, 58, 4.3, 2.7 +17-Jun-2020 13:00, 6.997,-9999 , 24.4, 1015.9, 0.018, 0.042, 72, 4.9, 3.9 +17-Jun-2020 14:00, 6.616,-9999 , 23.4, 1016.1, 0.044, 0.071, 62, 5.4, 3.2 +17-Jun-2020 15:00, 5.928,-9999 , 23.0, 1016.1, 0.054, 0.082, 56, 5.3, 3.2 +17-Jun-2020 16:00, 5.141,-9999 , 22.9, 1016.0, 0.007, 0.035, 58, 5.7, 4.4 +17-Jun-2020 17:00, 4.458,-9999 , 22.4, 1015.9, 0.009, 0.037, 71, 6.5, 5.3 +17-Jun-2020 18:00, 4.028,-9999 , 21.6, 1015.5, 0.051, 0.076, 59, 6.1, 4.1 +17-Jun-2020 19:00, 3.968,-9999 , 21.9, 1015.4, 0.081, 0.103, 68, 6.9, 5.2 +17-Jun-2020 20:00, 4.356,-9999 , 21.6, 1015.3, 0.069, 0.090, 68, 7.7, 5.9 +17-Jun-2020 21:00, 5.104,-9999 , 21.0, 1015.5, 0.025, 0.045, 74, 7.4, 4.6 +17-Jun-2020 22:00, 6.008,-9999 , 20.5, 1016.0, 0.026, 0.049, 75, 6.4, 4.6 +17-Jun-2020 23:00, 6.878,-9999 , 20.5, 1016.8, 0.073, 0.101, 78, 6.2, 5.0 +18-Jun-2020 00:00, 7.487,-9999 , 20.8, 1017.5, 0.115, 0.151, 82, 6.3, 5.0 +18-Jun-2020 01:00, 7.606,-9999 , 21.4, 1017.7, 0.069, 0.111, 83, 6.7, 5.8 +18-Jun-2020 02:00, 7.257,-9999 , 24.1, 1017.3, 0.074, 0.117, 81, 6.9, 5.5 +18-Jun-2020 03:00, 6.530,-9999 , 26.2, 1016.5, 0.121, 0.161, 85, 6.8, 4.4 +18-Jun-2020 04:00, 5.537,-9999 , 27.4, 1015.6, 0.047, 0.079, 86, 6.3, 4.0 +18-Jun-2020 05:00, 4.499,-9999 , 29.2, 1014.7,-0.045,-0.023, 92, 4.7, 3.4 +18-Jun-2020 06:00, 3.624,-9999 , 30.9, 1014.0,-0.098,-0.084, 115, 4.1, 3.0 +18-Jun-2020 07:00, 3.168,-9999 , 30.2, 1013.7,-0.101,-0.094, 168, 3.6, 2.0 +18-Jun-2020 08:00, 3.343,-9999 , 30.9, 1013.9,-0.043,-0.038, 168, 3.2, 1.4 +18-Jun-2020 09:00, 4.041,-9999 , 30.7, 1014.1,-0.041,-0.034, 159, 2.2, 1.8 +18-Jun-2020 10:00, 5.010,-9999 , 25.7, 1014.6,-0.039,-0.030, 154, 2.5, 1.5 +18-Jun-2020 11:00, 6.086,-9999 , 25.0, 1015.0, 0.030, 0.044, 169, 2.7, 1.8 +18-Jun-2020 12:00, 6.975,-9999 , 24.2, 1015.6, 0.060, 0.078, 29, 3.3, 0.6 +18-Jun-2020 13:00, 7.432,-9999 , 23.1, 1015.9, 0.030, 0.053, 58, 2.5, 0.3 +18-Jun-2020 14:00, 7.338,-9999 , 22.4, 1016.4, 0.018, 0.045, 169, 2.0, 1.3 +18-Jun-2020 15:00, 6.727,-9999 , 22.8, 1016.3, 0.057, 0.088, 134, 3.8, 3.1 +18-Jun-2020 16:00, 5.833,-9999 , 23.1, 1016.2, 0.055, 0.086, 86, 3.7, 2.1 +18-Jun-2020 17:00, 4.882,-9999 , 23.0, 1015.9, 0.028, 0.057, 91, 4.2, 3.4 +18-Jun-2020 18:00, 4.065,-9999 , 22.5, 1015.8, 0.042, 0.068, 104, 4.2, 3.4 +18-Jun-2020 19:00, 3.597,-9999 , 21.6, 1015.7, 0.084, 0.109, 110, 5.1, 4.1 +18-Jun-2020 20:00, 3.673,-9999 , 21.7, 1015.9, 0.123, 0.148, 101, 5.9, 4.5 +18-Jun-2020 21:00, 4.322,-9999 , 21.9, 1016.1, 0.084, 0.111, 87, 6.9, 6.0 +18-Jun-2020 22:00, 5.304,-9999 , 21.2, 1016.7, 0.016, 0.045, 80, 7.6, 3.1 +18-Jun-2020 23:00, 6.376,-9999 , 21.5, 1017.3,-0.016, 0.019, 80, 5.2, 3.9 +19-Jun-2020 00:00, 7.364,-9999 , 22.0, 1017.7, 0.004, 0.044, 78, 7.0, 5.0 +19-Jun-2020 01:00, 7.942,-9999 , 22.9, 1018.1, 0.001, 0.046, 80, 5.7, 3.7 +19-Jun-2020 02:00, 7.926,-9999 , 23.7, 1017.8, 0.000, 0.048, 69, 4.8, 1.4 +19-Jun-2020 03:00, 7.331,-9999 , 27.3, 1017.1, 0.079, 0.123, 116, 2.4, 1.9 +19-Jun-2020 04:00, 6.294,-9999 , 28.6, 1016.1, 0.084, 0.122, 100, 5.2, 4.4 +19-Jun-2020 05:00, 5.055,-9999 , 29.4, 1015.1,-0.010, 0.018, 110, 5.8, 4.0 +19-Jun-2020 06:00, 3.843,-9999 , 30.5, 1014.5,-0.074,-0.056, 97, 4.1, 2.9 +19-Jun-2020 07:00, 2.940,-9999 , 31.9, 1014.2,-0.085,-0.073, 112, 3.9, 2.8 +19-Jun-2020 08:00, 2.655,-9999 , 32.5, 1014.3,-0.041,-0.032, 151, 2.8, 1.3 +19-Jun-2020 09:00, 3.126,-9999 , 29.8, 1014.7,-0.025,-0.015, 154, 2.8, 1.7 +19-Jun-2020 10:00, 4.123,-9999 , 26.6, 1015.1,-0.049,-0.035, 135, 2.9, 2.0 +19-Jun-2020 11:00, 5.335,-9999 , 24.8, 1015.6,-0.029,-0.010, 52, 3.5, 0.4 +19-Jun-2020 12:00, 6.541,-9999 , 24.5, 1016.3,-0.011, 0.013, 118, 3.1, 2.5 +19-Jun-2020 13:00, 7.494,-9999 , 24.0, 1016.8, 0.015, 0.046, 146, 4.4, 2.9 +19-Jun-2020 14:00, 7.856,-9999 , 23.6, 1016.9, 0.009, 0.045, 111, 5.0, 3.9 +19-Jun-2020 15:00, 7.456,-9999 , 23.9, 1016.5,-0.008, 0.028, 120, 7.5, 5.7 +19-Jun-2020 16:00, 6.574,-9999 , 23.6, 1016.2, 0.029, 0.061, 127, 8.4, 7.3 +19-Jun-2020 17:00, 5.524,-9999 , 23.3, 1015.9, 0.049, 0.079, 106, 9.3, 6.5 +19-Jun-2020 18:00, 4.431,-9999 , 22.5, 1015.5, 0.050, 0.076, 97, 7.4, 4.4 +19-Jun-2020 19:00, 3.544,-9999 , 22.7, 1015.3, 0.074, 0.096, 104, 9.5, 4.3 +19-Jun-2020 20:00, 3.150,-9999 , 22.1, 1015.2, 0.111, 0.131, 122, 7.3, 5.3 +19-Jun-2020 21:00, 3.479,-9999 , 21.7, 1015.2, 0.096, 0.115, 87, 7.2, 4.3 +19-Jun-2020 22:00, 4.429,-9999 , 21.5, 1015.5,-0.003, 0.017, 92, 7.6, 6.3 +19-Jun-2020 23:00, 5.651,-9999 , 21.1, 1016.0,-0.073,-0.050, 82, 7.8, 4.5 +20-Jun-2020 00:00, 6.951,-9999 , 21.7, 1016.8,-0.057,-0.029, 79, 5.5, 4.4 +20-Jun-2020 01:00, 7.978,-9999 , 22.8, 1016.9,-0.046,-0.011, 93, 5.4, 4.5 +20-Jun-2020 02:00, 8.388,-9999 , 24.4, 1016.8,-0.061,-0.024, 92, 4.9, 2.9 +20-Jun-2020 03:00, 8.045,-9999 , 27.4, 1016.0,-0.032, 0.003, 89, 8.0, 7.3 +20-Jun-2020 04:00, 7.087,-9999 , 28.0, 1015.2, 0.035, 0.062, 90, 8.1, 6.1 +20-Jun-2020 05:00, 5.802,-9999 , 28.6, 1014.0, 0.007, 0.024, 102, 7.0, 4.8 +20-Jun-2020 06:00, 4.426,-9999 , 30.0, 1013.5,-0.028,-0.021, 90, 6.4, 4.1 +20-Jun-2020 07:00, 3.220,-9999 , 31.0, 1013.0, 0.030, 0.031, 138, 4.6, 2.3 +20-Jun-2020 08:00, 2.407,-9999 , 32.4, 1013.0, 0.045, 0.043, 139, 3.2, 1.7 +20-Jun-2020 09:00, 2.348,-9999 , 28.1, 1013.1, 0.004, 0.001, 182, 3.0, 2.1 +20-Jun-2020 10:00, 3.194,-9999 , 26.2, 1013.5,-0.026,-0.027, 199, 3.4, 0.9 +20-Jun-2020 11:00, 4.477,-9999 , 26.1, 1014.0,-0.027,-0.024, 132, 4.7, 4.3 +20-Jun-2020 12:00, 5.853,-9999 , 25.3, 1014.6,-0.030,-0.022, 125, 6.5, 3.8 +20-Jun-2020 13:00, 7.160,-9999 , 24.3, 1015.0,-0.019,-0.005, 110, 5.5, 4.3 +20-Jun-2020 14:00, 8.060,-9999 , 23.8, 1015.1, 0.028, 0.046, 112, 4.7, 3.8 +20-Jun-2020 15:00, 8.128,-9999 , 23.7, 1014.9, 0.029, 0.047, 131, 6.8, 5.8 +20-Jun-2020 16:00, 7.395,-9999 , 23.2, 1014.7, 0.046, 0.062, 109, 8.7, 4.9 +20-Jun-2020 17:00, 6.313,-9999 , 22.7, 1014.4, 0.090, 0.104, 119, 8.9, 6.8 +20-Jun-2020 18:00, 5.072,-9999 , 22.5, 1013.8, 0.073, 0.084, 121, 9.8, 8.3 +20-Jun-2020 19:00, 3.870,-9999 , 22.1, 1013.5, 0.083, 0.088, 118, 10.7, 8.3 +20-Jun-2020 20:00, 2.987,-9999 , 21.6, 1013.5, 0.088, 0.090, 116, 11.6, 9.5 +20-Jun-2020 21:00, 2.773,-9999 , 21.3, 1013.7, 0.059, 0.062, 112, 11.5, 8.1 +20-Jun-2020 22:00, 3.518,-9999 , 20.9, 1014.0, 0.021, 0.025, 108, 10.2, 8.1 +20-Jun-2020 23:00, 4.862,-9999 , 21.1, 1014.7,-0.005, 0.003, 112, 10.3, 7.6 +21-Jun-2020 00:00, 6.316,-9999 , 21.8, 1015.2,-0.033,-0.019, 103, 9.5, 7.3 +21-Jun-2020 01:00, 7.620,-9999 , 22.6, 1015.2,-0.111,-0.092, 92, 10.0, 5.3 +21-Jun-2020 02:00, 8.536,-9999 , 25.3, 1014.9,-0.104,-0.085, 89, 9.2, 7.6 +21-Jun-2020 03:00, 8.685,-9999 , 26.5, 1014.2,-0.041,-0.025, 98, 9.5, 5.9 +21-Jun-2020 04:00, 7.905,-9999 , 27.7, 1013.1,-0.014,-0.006, 103, 6.7, 4.1 +21-Jun-2020 05:00, 6.612,-9999 , 28.5, 1012.2,-0.021,-0.023, 106, 5.3, 4.6 +21-Jun-2020 06:00, 5.193,-9999 , 29.6, 1011.5,-0.033,-0.044, 143, 4.9, 2.3 +21-Jun-2020 07:00, 3.778,-9999 , 30.9, 1011.2, 0.028, 0.011, 123, 4.3, 2.7 +21-Jun-2020 08:00, 2.567,-9999 , 29.7, 1010.9, 0.076, 0.055, 153, 4.0, 2.7 +21-Jun-2020 09:00, 1.907,-9999 , 25.7, 1011.2, 0.019,-0.004, 203, 4.2, 2.8 +21-Jun-2020 10:00, 2.351,-9999 , 25.0, 1011.5, 0.026, 0.006, 188, 3.9, 2.6 +21-Jun-2020 11:00, 3.606,-9999 , 24.8, 1012.0, 0.042, 0.026, 196, 3.0, 2.2 +21-Jun-2020 12:00, 5.050,-9999 , 24.5, 1012.3, 0.026, 0.014, 186, 2.3, 1.1 +21-Jun-2020 13:00, 6.503,-9999 , 23.6, 1012.6,-0.028,-0.037, 164, 2.7, 1.9 +21-Jun-2020 14:00, 7.761,-9999 , 23.5, 1012.7,-0.052,-0.059, 116, 2.9, 2.0 +21-Jun-2020 15:00, 8.429,-9999 , 23.8, 1012.8, 0.010, 0.004, 75, 3.2, 1.7 +21-Jun-2020 16:00, 8.099,-9999 , 23.0, 1012.8, 0.033, 0.029, 109, 4.1, 2.6 +21-Jun-2020 17:00, 7.055,-9999 , 22.2, 1012.3, 0.044, 0.039, 133, 4.8, 3.0 +21-Jun-2020 18:00, 5.808,-9999 , 22.8, 1012.1, 0.055, 0.046, 124, 5.4, 4.4 +21-Jun-2020 19:00, 4.497,-9999 , 22.3, 1012.0, 0.088, 0.077, 104, 8.3, 4.2 +21-Jun-2020 20:00, 3.303,-9999 , 22.0, 1011.8, 0.130, 0.117, 108, 8.6, 6.6 +21-Jun-2020 21:00, 2.552,-9999 , 21.6, 1011.9, 0.111, 0.096, 107, 10.3, 7.8 +21-Jun-2020 22:00, 2.755,-9999 , 21.0, 1012.6, 0.082, 0.069, 92, 9.2, 5.1 +21-Jun-2020 23:00, 3.969,-9999 , 20.9, 1013.3, 0.071, 0.066, 102, 8.5, 6.3 +22-Jun-2020 00:00, 5.541, 23.3, 21.9, 1014.0, 0.058, 0.059, 98, 7.2, 4.5 +22-Jun-2020 01:00, 7.047, 23.3, 23.0, 1014.3,-0.035,-0.027, 91, 7.3, 5.2 +22-Jun-2020 02:00, 8.324, 23.3, 25.3, 1014.2,-0.097,-0.087, 82, 7.7, 6.1 +22-Jun-2020 03:00, 9.009, 23.3, 26.6, 1013.4,-0.039,-0.031, 92, 7.4, 5.3 +22-Jun-2020 04:00, 8.646, 23.4, 27.5, 1012.6,-0.027,-0.027, 79, 8.5, 7.2 +22-Jun-2020 05:00, 7.489, 23.3, 28.4, 1011.8,-0.009,-0.016, 95, 7.1, 5.7 +22-Jun-2020 06:00, 6.059, 23.4, 29.6, 1011.3,-0.016,-0.032, 131, 6.0, 3.3 +22-Jun-2020 07:00, 4.514, 23.4, 29.7, 1011.3,-0.053,-0.072, 140, 4.7, 3.7 +22-Jun-2020 08:00, 3.071, 23.4, 30.4, 1011.2, 0.012,-0.008, 135, 4.3, 3.3 +22-Jun-2020 09:00, 1.967, 23.4, 28.7, 1011.6, 0.020, 0.000, 127, 4.2, 3.5 +22-Jun-2020 10:00, 1.738, 23.4, 26.5, 1012.2, 0.006,-0.010, 117, 5.8, 5.5 +22-Jun-2020 11:00, 2.697, 23.4, 25.1, 1013.0, 0.056, 0.046, 359, 6.4, 3.6 +22-Jun-2020 12:00, 4.140, 23.4, 26.2, 1013.6, 0.040, 0.039, 324, 6.6, 4.7 +22-Jun-2020 13:00, 5.671, 23.4, 24.3, 1013.8, 0.008, 0.011, 279, 5.6, 3.2 +22-Jun-2020 14:00, 7.183, 23.4, 23.7, 1013.9,-0.024,-0.018, 217, 4.1, 2.6 +22-Jun-2020 15:00, 8.346, 23.4, 23.4, 1013.7, 0.024, 0.030, 191, 4.2, 1.7 +22-Jun-2020 16:00, 8.587, 23.4, 23.1, 1013.8, 0.055, 0.060, 187, 1.8, 0.8 +22-Jun-2020 17:00, 7.790, 23.4, 22.4, 1013.6, 0.026, 0.031, 87, 6.3, 5.1 +22-Jun-2020 18:00, 6.565, 23.4, 22.1, 1013.3, 0.034, 0.037, 47, 5.4, 1.1 +22-Jun-2020 19:00, 5.216, 23.4, 23.2, 1013.0, 0.030, 0.030, 70, 4.6, 4.0 +22-Jun-2020 20:00, 3.838, 23.3, 22.6, 1013.3, 0.050, 0.049, 80, 5.5, 4.0 +22-Jun-2020 21:00, 2.740, 23.3, 22.2, 1013.3, 0.092, 0.093, 76, 5.6, 4.4 +22-Jun-2020 22:00, 2.346, 23.2, 21.7, 1013.7, 0.115, 0.115, 79, 6.5, 5.2 +22-Jun-2020 23:00, 3.122, 23.2, 21.1, 1014.3, 0.153, 0.158, 87, 7.7, 6.0 +23-Jun-2020 00:00, 4.665, 23.3, 20.9, 1015.3, 0.160, 0.172, 76, 7.2, 5.3 +23-Jun-2020 01:00, 6.283, 23.3, 22.0, 1015.5, 0.089, 0.110, 75, 9.1, 7.6 +23-Jun-2020 02:00, 7.775, 23.3, 24.1, 1015.2,-0.023,-0.001, 83, 8.7, 6.6 +23-Jun-2020 03:00, 8.879, 23.3, 25.9, 1014.7,-0.052,-0.033, 88, 7.4, 6.4 +23-Jun-2020 04:00, 9.097, 23.3, 27.1, 1013.7,-0.039,-0.025, 95, 8.1, 4.8 +23-Jun-2020 05:00, 8.240, 23.4, 28.0, 1012.6,-0.065,-0.062, 105, 6.2, 4.5 +23-Jun-2020 06:00, 6.854, 23.5, 29.2, 1012.1,-0.071,-0.078, 128, 4.6, 2.7 +23-Jun-2020 07:00, 5.346, 23.5, 29.6, 1011.8,-0.108,-0.120, 109, 4.7, 3.2 +23-Jun-2020 08:00, 3.839, 23.5, 30.4, 1011.9,-0.065,-0.080, 103, 3.6, 2.5 +23-Jun-2020 09:00, 2.492, 23.4, 28.2, 1012.5, 0.001,-0.012, 117, 3.7, 2.9 +23-Jun-2020 10:00, 1.661, 23.4, 25.0, 1013.2,-0.007,-0.014, 103, 5.6, 4.3 +23-Jun-2020 11:00, 1.989, 23.4, 24.6, 1014.2, 0.048, 0.049, 105, 5.1, 4.1 +23-Jun-2020 12:00, 3.260, 23.4, 24.7, 1014.6, 0.066, 0.076, 104, 5.5, 4.2 +23-Jun-2020 13:00, 4.790, 23.4, 24.7, 1014.9, 0.056, 0.069, 121, 7.6, 6.7 +23-Jun-2020 14:00, 6.357, 23.4, 23.2, 1015.3, 0.019, 0.036, 102, 8.5, 4.1 +23-Jun-2020 15:00, 7.785, 23.3, 22.9, 1015.3,-0.009, 0.011, 124, 9.9, 8.6 +23-Jun-2020 16:00, 8.598, 23.3, 22.7, 1015.3, 0.005, 0.025, 113, 10.0, 8.5 +23-Jun-2020 17:00, 8.305, 23.3, 22.7, 1015.2,-0.043,-0.023, 103, 9.9, 7.5 +23-Jun-2020 18:00, 7.237, 23.3, 21.8, 1015.0,-0.052,-0.033, 90, 10.3, 7.2 +23-Jun-2020 19:00, 5.954, 23.2, 20.9, 1015.1,-0.031,-0.014, 91, 8.6, 6.9 +23-Jun-2020 20:00, 4.576, 23.1, 20.2, 1015.0,-0.012, 0.006, 91, 8.6, 7.1 +23-Jun-2020 21:00, 3.298, 23.1, 19.0, 1015.4, 0.059, 0.077, 99, 8.0, 5.7 +23-Jun-2020 22:00, 2.411, 23.0, 18.8, 1015.9, 0.088, 0.110, 91, 6.7, 5.0 +23-Jun-2020 23:00, 2.457, 22.6, 19.0, 1016.3, 0.101, 0.127, 89, 7.2, 5.6 +24-Jun-2020 00:00, 3.646, 23.0, 19.6, 1016.6, 0.115, 0.145, 97, 8.7, 6.6 +24-Jun-2020 01:00, 5.267, 23.0, 20.8, 1016.9, 0.069, 0.103, 94, 9.8, 6.9 +24-Jun-2020 02:00, 6.899, 23.0, 23.6, 1016.3, 0.015, 0.050, 99, 8.4, 6.0 +24-Jun-2020 03:00, 8.321, 23.1, 24.9, 1015.7,-0.033,-0.003, 113, 8.5, 6.7 +24-Jun-2020 04:00, 9.100, 23.1, 25.7, 1014.6,-0.045,-0.021, 116, 8.7, 5.9 +24-Jun-2020 05:00, 8.854, 23.2, 26.5, 1013.4,-0.030,-0.017, 112, 8.4, 5.6 +24-Jun-2020 06:00, 7.715, 23.2, 27.2, 1012.7,-0.022,-0.021, 113, 6.8, 5.1 +24-Jun-2020 07:00, 6.251, 23.2, 27.8, 1012.1,-0.062,-0.068, 109, 7.3, 4.7 +24-Jun-2020 08:00, 4.735, 23.2, 27.8, 1012.0,-0.102,-0.113, 109, 5.7, 4.6 +24-Jun-2020 09:00, 3.290, 23.2, 26.2, 1012.3,-0.045,-0.057, 99, 6.6, 5.3 +24-Jun-2020 10:00, 2.139, 23.1, 24.2, 1012.8,-0.002,-0.011, 106, 6.0, 4.3 +24-Jun-2020 11:00, 1.752, 23.0, 24.0, 1013.0, 0.026, 0.022, 116, 5.8, 4.6 +24-Jun-2020 12:00, 2.509, 23.1, 23.7, 1013.5, 0.059, 0.058, 135, 8.3, 6.8 +24-Jun-2020 13:00, 3.894, 23.1, 22.7, 1013.6, 0.041, 0.043, 131, 10.5, 8.5 +24-Jun-2020 14:00, 5.382, 23.1, 21.8, 1014.1,-0.005,-0.001, 135, 10.5, 8.2 +24-Jun-2020 15:00, 6.868, 23.1, 21.8, 1014.2,-0.077,-0.069, 124, 10.6, 8.2 +24-Jun-2020 16:00, 8.112, 23.1, 21.8, 1014.2,-0.075,-0.066, 124, 10.7, 8.4 +24-Jun-2020 17:00, 8.560, 23.1, 21.8, 1014.1,-0.018,-0.009, 119, 10.0, 7.6 +24-Jun-2020 18:00, 7.894, 23.0, 21.4, 1013.8,-0.046,-0.038, 108, 10.0, 7.1 +24-Jun-2020 19:00, 6.717, 22.9, 20.6, 1013.9,-0.040,-0.035, 100, 9.6, 6.3 +24-Jun-2020 20:00, 5.434, 22.9, 19.6, 1014.1,-0.005, 0.001, 94, 8.9, 6.9 +24-Jun-2020 21:00, 4.082, 22.7, 18.8, 1014.2, 0.029, 0.037, 89, 8.4, 6.7 +24-Jun-2020 22:00, 2.881, 22.7, 18.8, 1014.4, 0.016, 0.025, 85, 8.7, 6.4 +24-Jun-2020 23:00, 2.286, 22.3, 18.4, 1015.0,-0.001, 0.010, 103, 8.0, 5.4 +25-Jun-2020 00:00, 2.852, 22.4, 18.9, 1015.7, 0.059, 0.077, 93, 6.5, 4.5 +25-Jun-2020 01:00, 4.278, 22.7, 19.7, 1016.0, 0.070, 0.095, 76, 6.2, 4.2 +25-Jun-2020 02:00, 5.871, 22.8, 22.9, 1015.5, 0.023, 0.050, 80, 5.6, 4.4 +25-Jun-2020 03:00, 7.403, 22.8, 25.3, 1014.9,-0.021, 0.001, 85, 8.0, 5.8 +25-Jun-2020 04:00, 8.606, 22.8, 26.7, 1013.8,-0.031,-0.016, 94, 6.7, 4.2 +25-Jun-2020 05:00, 8.979, 22.9, 27.4, 1012.9,-0.046,-0.042, 128, 4.7, 3.3 +25-Jun-2020 06:00, 8.329, 23.0, 27.8, 1012.3,-0.047,-0.051, 140, 3.7, 2.8 +25-Jun-2020 07:00, 7.064, 23.1, 29.3, 1011.8,-0.047,-0.057, 131, 3.9, 2.7 +25-Jun-2020 08:00, 5.678, 23.1, 31.2, 1011.8,-0.058,-0.072, 117, 3.3, 2.4 +25-Jun-2020 09:00, 4.233, 22.9, 28.5, 1012.0,-0.065,-0.080, 137, 3.0, 2.4 +25-Jun-2020 10:00, 2.897, 22.9, 24.5, 1012.3,-0.059,-0.071, 152, 3.8, 3.0 +25-Jun-2020 11:00, 2.038, 22.9, 23.9, 1012.8,-0.034,-0.043, 148, 5.2, 3.7 +25-Jun-2020 12:00, 2.119, 22.8, 23.8, 1013.1, 0.021, 0.017, 105, 4.4, 3.6 +25-Jun-2020 13:00, 3.177, 22.9, 23.2, 1013.2, 0.065, 0.064, 107, 5.5, 4.1 +25-Jun-2020 14:00, 4.578, 22.9, 23.5, 1013.2, 0.075, 0.074, 104, 8.0, 6.6 +25-Jun-2020 15:00, 6.028, 22.9, 22.4, 1013.3, 0.055, 0.055, 95, 7.2, 5.6 +25-Jun-2020 16:00, 7.373, 22.9, 21.8, 1013.1,-0.018,-0.017, 94, 6.9, 5.8 +25-Jun-2020 17:00, 8.286, 22.9, 21.4, 1013.1,-0.040,-0.041, 90, 7.7, 6.6 +25-Jun-2020 18:00, 8.250, 22.9, 20.3, 1012.8,-0.060,-0.062, 83, 7.8, 3.8 +25-Jun-2020 19:00, 7.361, 22.8, 20.2, 1012.8,-0.079,-0.083, 71, 4.9, 4.2 +25-Jun-2020 20:00, 6.218, 22.8, 19.9, 1012.4,-0.037,-0.042, 69, 5.9, 4.7 +25-Jun-2020 21:00, 4.956, 22.7, 19.6, 1012.5,-0.005,-0.013, 78, 6.0, 4.9 +25-Jun-2020 22:00, 3.721, 22.7, 18.7, 1013.2, 0.039, 0.032, 69, 6.1, 4.9 +25-Jun-2020 23:00, 2.817, 22.5, 19.0, 1013.9, 0.077, 0.077, 73, 6.6, 5.4 +26-Jun-2020 00:00, 2.666, 22.4, 19.7, 1014.5, 0.118, 0.126, 73, 7.0, 5.1 +26-Jun-2020 01:00, 3.504, 22.4, 20.8, 1014.4, 0.105, 0.118, 77, 7.4, 6.4 +26-Jun-2020 02:00, 4.909, 22.6, 23.1, 1014.0, 0.073, 0.084, 85, 7.1, 5.1 +26-Jun-2020 03:00, 6.413, 22.6, 25.6, 1013.4, 0.073, 0.080, 92, 5.9, 3.8 +26-Jun-2020 04:00, 7.737,-9999 , 27.9, 1012.6, 0.031, 0.032, 116, 4.2, 3.3 +26-Jun-2020 05:00, 8.565,-9999 , 26.6, 1011.8,-0.037,-0.045, 184, 3.8, 2.9 +26-Jun-2020 06:00, 8.554,-9999 , 26.6, 1011.4,-0.071,-0.085, 201, 3.3, 2.9 +26-Jun-2020 07:00, 7.717,-9999 , 27.5, 1011.2,-0.047,-0.066, 223, 3.7, 3.1 +26-Jun-2020 08:00, 6.495,-9999 , 26.8, 1011.5,-0.047,-0.067, 219, 4.4, 3.9 +26-Jun-2020 09:00, 5.181,-9999 , 26.3, 1011.8,-0.070,-0.087, 222, 4.7, 3.5 +26-Jun-2020 10:00, 3.910,-9999 , 23.6, 1012.3,-0.019,-0.033, 208, 5.8, 4.9 +26-Jun-2020 11:00, 2.867,-9999 , 23.2, 1013.0, 0.039, 0.030, 204, 6.4, 4.6 +26-Jun-2020 12:00, 2.324,-9999 , 23.3, 1013.4, 0.036, 0.034, 208, 5.3, 3.9 +26-Jun-2020 13:00, 2.731,-9999 , 23.3, 1013.7, 0.058, 0.059, 195, 4.8, 3.6 +26-Jun-2020 14:00, 3.844,-9999 , 22.8, 1013.7, 0.072, 0.077, 188, 5.1, 4.3 +26-Jun-2020 15:00, 5.144,-9999 , 23.0, 1013.6, 0.077, 0.082, 136, 6.8, 5.3 +26-Jun-2020 16:00, 6.469,-9999 , 21.9, 1013.4, 0.055, 0.059, 85, 7.0, 4.0 +26-Jun-2020 17:00, 7.622,-9999 , 21.1, 1013.3, 0.009, 0.010, 98, 7.0, 4.8 +26-Jun-2020 18:00, 8.199,-9999 , 21.8, 1013.5,-0.019,-0.019, 96, 6.5, 5.3 +26-Jun-2020 19:00, 7.855,-9999 , 20.6, 1013.5,-0.049,-0.047, 74, 6.8, 5.4 +26-Jun-2020 20:00, 6.901,-9999 , 20.5, 1013.4,-0.074,-0.071, 67, 6.7, 5.5 +26-Jun-2020 21:00, 5.781,-9999 , 20.4, 1013.6,-0.066,-0.065, 75, 6.5, 5.1 +26-Jun-2020 22:00, 4.607,-9999 , 19.7, 1014.1,-0.027,-0.023, 79, 6.2, 4.8 +26-Jun-2020 23:00, 3.565,-9999 , 19.2, 1014.6, 0.021, 0.030, 80, 5.7, 4.5 +27-Jun-2020 00:00, 2.984,-9999 , 19.1, 1015.3, 0.109, 0.123, 73, 5.8, 4.6 +27-Jun-2020 01:00, 3.161,-9999 , 21.0, 1015.3, 0.156, 0.176, 77, 7.5, 5.9 +27-Jun-2020 02:00, 4.117,-9999 , 23.7, 1015.0, 0.138, 0.158, 85, 6.9, 4.9 +27-Jun-2020 03:00, 5.402,-9999 , 25.3, 1014.6, 0.122, 0.139, 110, 6.1, 4.1 +27-Jun-2020 04:00, 6.632,-9999 , 27.0, 1013.7, 0.053, 0.065, 164, 4.7, 1.7 +27-Jun-2020 05:00, 7.630,-9999 , 26.4, 1012.8,-0.055,-0.051, 192, 3.3, 2.3 +27-Jun-2020 06:00, 8.166,-9999 , 28.0, 1011.9,-0.122,-0.128, 208, 2.6, 2.2 +27-Jun-2020 07:00, 7.961,-9999 , 26.9, 1011.7,-0.113,-0.126, 220, 4.1, 3.6 +27-Jun-2020 08:00, 7.154,-9999 , 27.6, 1011.8,-0.044,-0.060, 226, 5.0, 3.4 +27-Jun-2020 09:00, 6.074,-9999 , 26.6, 1012.1,-0.027,-0.041, 229, 4.3, 3.7 +27-Jun-2020 10:00, 4.938,-9999 , 23.2, 1012.7, 0.015, 0.005, 205, 6.1, 5.3 +27-Jun-2020 11:00, 3.866,-9999 , 23.3, 1013.3, 0.074, 0.069, 203, 7.0, 5.8 +27-Jun-2020 12:00, 3.027,-9999 , 23.2, 1014.0, 0.073, 0.074, 200, 6.6, 4.1 +27-Jun-2020 13:00, 2.776,-9999 , 23.1, 1014.4, 0.059, 0.067, 206, 5.5, 4.0 +27-Jun-2020 14:00, 3.333,-9999 , 22.6, 1014.4, 0.054, 0.065, 181, 5.0, 3.2 +27-Jun-2020 15:00, 4.367,-9999 , 22.3, 1014.4, 0.056, 0.067, 139, 4.9, 2.9 +27-Jun-2020 16:00, 5.535,-9999 , 22.5, 1014.5, 0.058, 0.069, 116, 4.5, 3.9 +27-Jun-2020 17:00, 6.676,-9999 , 21.5, 1014.3, 0.023, 0.035, 76, 4.9, 3.4 +27-Jun-2020 18:00, 7.571,-9999 , 21.0, 1013.8,-0.040,-0.030, 96, 3.8, 2.4 +27-Jun-2020 19:00, 7.870,-9999 , 21.1, 1013.8,-0.075,-0.069, 95, 3.4, 2.9 +27-Jun-2020 20:00, 7.428,-9999 , 21.1, 1013.7,-0.078,-0.073, 82, 4.0, 3.4 +27-Jun-2020 21:00, 6.577,-9999 , 20.2, 1013.8,-0.059,-0.055, 67, 4.4, 3.5 +27-Jun-2020 22:00, 5.570,-9999 , 19.7, 1014.0,-0.026,-0.020, 66, 5.4, 4.4 +27-Jun-2020 23:00, 4.585,-9999 , 20.3, 1014.5, 0.060, 0.068, 79, 5.3, 4.1 +28-Jun-2020 00:00, 3.791,-9999 , 20.7, 1015.3, 0.151, 0.164, 88, 5.1, 4.0 +28-Jun-2020 01:00, 3.355,-9999 , 20.9, 1015.5, 0.161, 0.181, 73, 4.7, 3.6 +28-Jun-2020 02:00, 3.573,-9999 , 23.4, 1015.1, 0.095, 0.117, 105, 4.9, 3.2 +28-Jun-2020 03:00, 4.443,-9999 , 25.3, 1014.3, 0.078, 0.096, 68, 3.9, 3.2 +28-Jun-2020 04:00, 5.495,-9999 , 27.8, 1013.4, 0.037, 0.046, 130, 3.7, 2.1 +28-Jun-2020 05:00, 6.477,-9999 , 29.5, 1012.3,-0.050,-0.050, 148, 2.6, 0.2 +28-Jun-2020 06:00, 7.264,-9999 , 29.5, 1011.5,-0.133,-0.143, 210, 2.0, 1.5 +28-Jun-2020 07:00, 7.654,-9999 , 27.9, 1011.5,-0.151,-0.169, 224, 5.3, 3.6 +28-Jun-2020 08:00, 7.482,-9999 , 25.9, 1011.8,-0.052,-0.070, 234, 6.5, 5.3 +28-Jun-2020 09:00, 6.788,-9999 , 24.6, 1012.2, 0.000,-0.014, 248, 6.8, 5.2 +28-Jun-2020 10:00, 5.812,-9999 , 23.7, 1013.0,-0.025,-0.034, 233, 7.3, 5.1 +28-Jun-2020 11:00, 4.821,-9999 , 24.0, 1014.0, 0.009, 0.008, 226, 7.0, 5.3 +28-Jun-2020 12:00, 3.927,-9999 , 23.4, 1014.6, 0.034, 0.042, 230, 6.7, 4.3 +28-Jun-2020 13:00, 3.310,-9999 , 22.8, 1014.6, 0.038, 0.052, 219, 5.8, 3.2 +28-Jun-2020 14:00, 3.228,-9999 , 22.6, 1014.6, 0.018, 0.032, 198, 4.2, 3.5 +28-Jun-2020 15:00, 3.760,-9999 , 22.4, 1014.5,-0.003, 0.010, 178, 3.7, 1.9 +28-Jun-2020 16:00, 4.663,-9999 , 23.0, 1014.1, 0.002, 0.014, 141, 3.9, 3.1 +28-Jun-2020 17:00, 5.673,-9999 , 22.0, 1013.8,-0.012,-0.004, 130, 5.2, 3.5 +28-Jun-2020 18:00, 6.621,-9999 , 21.4, 1013.2,-0.064,-0.060, 101, 5.8, 2.6 +28-Jun-2020 19:00, 7.340,-9999 , 21.5, 1012.9,-0.105,-0.106, 92, 4.9, 4.4 +28-Jun-2020 20:00, 7.585,-9999 , 21.2, 1012.7,-0.053,-0.057, 72, 5.3, 3.4 +28-Jun-2020 21:00, 7.225,-9999 , 20.9, 1013.0,-0.012,-0.018, 93, 4.6, 3.2 +28-Jun-2020 22:00, 6.463,-9999 , 20.5, 1013.6,-0.020,-0.022, 86, 4.4, 3.1 +28-Jun-2020 23:00, 5.576,-9999 , 20.6, 1013.9, 0.020, 0.024, 93, 3.8, 3.0 +29-Jun-2020 00:00, 4.741,-9999 , 21.3, 1014.7, 0.100, 0.107, 84, 4.1, 3.4 +29-Jun-2020 01:00, 4.035,-9999 , 21.1, 1014.9, 0.133, 0.148, 70, 4.4, 3.7 +29-Jun-2020 02:00, 3.660,-9999 , 23.4, 1014.5, 0.103, 0.120, 98, 4.4, 3.7 +29-Jun-2020 03:00, 3.884, 22.4, 26.1, 1013.9, 0.098, 0.109, 107, 4.1, 2.8 +29-Jun-2020 04:00, 4.549, 22.5, 28.0, 1012.9, 0.087, 0.092, 133, 3.4, 1.8 +29-Jun-2020 05:00, 5.305, 22.5, 27.4, 1012.0,-0.034,-0.038, 169, 2.5, 1.5 +29-Jun-2020 06:00, 6.076, 22.6, 31.1, 1011.5,-0.142,-0.155, 209, 1.8, 1.3 +29-Jun-2020 07:00, 6.772, 22.6, 30.9, 1011.5,-0.177,-0.194, 251, 2.0, 1.2 +29-Jun-2020 08:00, 7.215, 22.6, 29.2, 1011.4,-0.088,-0.105, 279, 3.2, 2.8 +29-Jun-2020 09:00, 7.162, 22.6, 27.3, 1011.7, 0.018, 0.000, 277, 4.1, 3.5 +29-Jun-2020 10:00, 6.586, 22.6, 24.5, 1012.3,-0.003,-0.018, 241, 6.4, 5.1 +29-Jun-2020 11:00, 5.818, 22.7, 23.3, 1013.0, 0.025, 0.016, 211, 6.4, 5.4 +29-Jun-2020 12:00, 4.994, 22.7, 23.2, 1013.7, 0.063, 0.062, 210, 6.0, 4.1 +29-Jun-2020 13:00, 4.246, 22.8, 23.2, 1013.8, 0.078, 0.083, 198, 5.1, 4.0 +29-Jun-2020 14:00, 3.722, 22.8, 23.4, 1014.0, 0.058, 0.064, 197, 5.6, 4.7 +29-Jun-2020 15:00, 3.611, 22.9, 22.7, 1013.8, 0.001, 0.008, 209, 5.4, 3.6 +29-Jun-2020 16:00, 4.015, 22.7, 22.7, 1013.4,-0.015,-0.010, 202, 4.5, 3.1 +29-Jun-2020 17:00, 4.769, 22.7, 22.8, 1013.4,-0.013,-0.011, 155, 5.5, 3.5 +29-Jun-2020 18:00, 5.635, 22.6, 22.1, 1013.1,-0.043,-0.042, 160, 5.1, 3.5 +29-Jun-2020 19:00, 6.491, 22.6, 21.0, 1012.7,-0.068,-0.070, 131, 4.7, 2.4 +29-Jun-2020 20:00, 7.180, 22.6, 20.9, 1012.3,-0.037,-0.043, 109, 3.2, 2.3 +29-Jun-2020 21:00, 7.457, 22.5, 21.1, 1012.5, 0.029, 0.019, 87, 3.5, 2.2 +29-Jun-2020 22:00, 7.183, 22.5, 20.1, 1013.0, 0.011, 0.004, 108, 4.1, 3.2 +29-Jun-2020 23:00, 6.550, 22.5, 20.2, 1013.4, 0.000,-0.002, 77, 4.1, 3.0 +30-Jun-2020 00:00, 5.830, 22.5, 20.6, 1013.8, 0.092, 0.094, 70, 5.0, 4.1 +30-Jun-2020 01:00, 5.042, 22.5, 22.3, 1014.3, 0.130, 0.136, 90, 6.1, 4.8 +30-Jun-2020 02:00, 4.322, 22.6, 24.1, 1014.0, 0.114, 0.124, 90, 5.8, 4.8 +30-Jun-2020 03:00, 3.855, 22.6, 26.5, 1013.3, 0.052, 0.059, 103, 5.4, 3.8 +30-Jun-2020 04:00, 3.770, 22.7, 29.1, 1012.0,-0.054,-0.055, 95, 4.0, 2.8 +30-Jun-2020 05:00, 4.145, 22.6, 29.6, 1010.9,-0.115,-0.128, 167, 3.5, 1.7 +30-Jun-2020 06:00, 4.833, 22.6, 29.4, 1010.3,-0.128,-0.152, 189, 3.4, 3.1 +30-Jun-2020 07:00, 5.644, 22.6, 31.4, 1010.1,-0.111,-0.140, 197, 3.1, 2.0 +30-Jun-2020 08:00, 6.372, 22.6, 29.6, 1010.2,-0.102,-0.133, 237, 3.0, 2.2 +30-Jun-2020 09:00, 6.863, 22.7, 26.9, 1010.7,-0.053,-0.083, 230, 5.9, 5.0 +30-Jun-2020 10:00, 7.012, 22.6, 26.6, 1011.1, 0.040, 0.015, 233, 5.6, 4.3 +30-Jun-2020 11:00, 6.679, 22.6, 24.4, 1011.9, 0.056, 0.036, 215, 6.2, 3.5 +30-Jun-2020 12:00, 6.024, 22.6, 23.6, 1012.8, 0.048, 0.035, 193, 6.8, 5.6 +30-Jun-2020 13:00, 5.286, 22.6, 23.7, 1013.5, 0.066, 0.063, 75, 6.0, 0.7 +30-Jun-2020 14:00, 4.588, 22.6, 23.1, 1013.5, 0.078, 0.081, 298, 2.0, 1.7 +30-Jun-2020 15:00, 4.022, 22.7, 22.7, 1013.4, 0.026, 0.028, 281, 2.5, 1.8 +30-Jun-2020 16:00, 3.783, 22.8, 23.0, 1013.0,-0.035,-0.034, 231, 3.2, 2.4 +30-Jun-2020 17:00, 4.035, 22.8, 22.5, 1012.8,-0.024,-0.027, 209, 4.5, 3.7 +30-Jun-2020 18:00, 4.657, 22.7, 22.1, 1012.5,-0.016,-0.021, 169, 5.6, 2.7 +30-Jun-2020 19:00, 5.461, 22.6, 21.4, 1012.1,-0.040,-0.048, 110, 4.0, 2.6 +30-Jun-2020 20:00, 6.316, 22.6, 20.9, 1012.1,-0.045,-0.056, 73, 3.8, 2.5 +30-Jun-2020 21:00, 7.048, 22.6, 20.2, 1012.5, 0.002,-0.009, 95, 3.4, 2.7 +30-Jun-2020 22:00, 7.442, 22.6, 19.5, 1012.8, 0.041, 0.034, 94, 4.3, 3.4 +30-Jun-2020 23:00, 7.358, 22.5, 19.5, 1013.4, 0.034, 0.030, 76, 4.6, 3.8 +01-Jul-2020 00:00, 6.889, 22.5, 20.8, 1014.0, 0.061, 0.064, 84, 5.3, 3.7 +01-Jul-2020 01:00, 6.160, 22.6, 21.6, 1014.0, 0.089, 0.097, 79, 5.3, 4.2 +01-Jul-2020 02:00, 5.301, 22.6, 23.9, 1013.7, 0.080, 0.087, 84, 5.2, 3.6 +01-Jul-2020 03:00, 4.526, 22.6, 27.0, 1013.0, 0.097, 0.101, 79, 6.0, 5.2 +01-Jul-2020 04:00, 3.850, 22.7, 29.1, 1012.2, 0.021, 0.018, 95, 5.4, 3.9 +01-Jul-2020 05:00, 3.524, 22.8, 30.8, 1011.0,-0.066,-0.077, 105, 3.8, 1.3 +01-Jul-2020 06:00, 3.699, 22.8, 30.9, 1010.5,-0.114,-0.137, 2, 1.3, 0.4 +01-Jul-2020 07:00, 4.343, 22.7, 31.7, 1010.4,-0.092,-0.120, 231, 2.4, 0.7 +01-Jul-2020 08:00, 5.229, 22.7, 28.7, 1010.5,-0.046,-0.074, 246, 3.9, 1.6 +01-Jul-2020 09:00, 6.062, 22.7, 27.6, 1010.8,-0.034,-0.061, 262, 2.8, 1.3 +01-Jul-2020 10:00, 6.721, 22.7, 23.6, 1011.5,-0.012,-0.035, 201, 5.6, 4.6 +01-Jul-2020 11:00, 7.062, 22.7, 23.2, 1012.2, 0.031, 0.014, 200, 5.2, 3.9 +01-Jul-2020 12:00, 6.893, 22.7, 23.6, 1012.8, 0.023, 0.014, 181, 5.8, 4.5 +01-Jul-2020 13:00, 6.336, 22.6, 23.5, 1013.3, 0.014, 0.011, 180, 6.6, 4.1 +01-Jul-2020 14:00, 5.613, 22.7, 23.3, 1013.2, 0.049, 0.049, 171, 5.6, 3.5 +01-Jul-2020 15:00, 4.836, 22.6, 22.9, 1013.1, 0.035, 0.034, 178, 5.1, 2.9 +01-Jul-2020 16:00, 4.184, 22.8, 22.3, 1013.0, 0.015, 0.014, 110, 3.4, 1.3 +01-Jul-2020 17:00, 3.802, 22.8, 22.8, 1012.6,-0.002,-0.005, 115, 3.4, 2.4 +01-Jul-2020 18:00, 3.819, 22.9, 22.4, 1012.2,-0.045,-0.052, 117, 2.6, 1.4 +01-Jul-2020 19:00, 4.342, 22.8, 22.4, 1011.8,-0.042,-0.053, 118, 3.2, 2.5 +01-Jul-2020 20:00, 5.215, 22.7, 22.5, 1012.1,-0.033,-0.047, 114, 4.7, 3.8 +01-Jul-2020 21:00, 6.166, 22.7, 22.0, 1012.2,-0.026,-0.037, 96, 6.0, 4.1 +01-Jul-2020 22:00, 6.993, 22.7, 21.7, 1012.7,-0.024,-0.034, 94, 6.7, 5.3 +01-Jul-2020 23:00, 7.563,-9999 , 21.2, 1013.2,-0.012,-0.018, 98, 6.2, 4.2 +02-Jul-2020 00:00, 7.693,-9999 , 21.6, 1014.0, 0.029, 0.029, 85, 5.1, 3.8 +02-Jul-2020 01:00, 7.233,-9999 , 22.7, 1014.3,-0.006, 0.002, 81, 5.6, 4.1 +02-Jul-2020 02:00, 6.403,-9999 , 25.0, 1014.1,-0.023,-0.013, 103, 5.5, 2.1 +02-Jul-2020 03:00, 5.489,-9999 , 27.5, 1013.4, 0.043, 0.051, 115, 2.6, 1.0 +02-Jul-2020 04:00, 4.469,-9999 , 28.8, 1012.4,-0.001, 0.000, 96, 4.7, 3.8 +02-Jul-2020 05:00, 3.527,-9999 , 28.4, 1011.0,-0.097,-0.107, 123, 5.6, 4.1 +02-Jul-2020 06:00, 2.948,-9999 , 30.2, 1010.1,-0.201,-0.225, 117, 5.9, 4.5 +02-Jul-2020 07:00, 3.056,-9999 , 30.2, 1010.0,-0.180,-0.212, 126, 5.1, 2.9 +02-Jul-2020 08:00, 3.820,-9999 , 30.3, 1010.2,-0.091,-0.123, 105, 4.8, 3.4 +02-Jul-2020 09:00, 4.791,-9999 , 28.7, 1010.9,-0.111,-0.141, 98, 5.5, 4.9 +02-Jul-2020 10:00, 5.794,-9999 , 25.8, 1011.8,-0.110,-0.133, 100, 7.3, 4.0 +02-Jul-2020 11:00, 6.716,-9999 , 25.6, 1012.8,-0.062,-0.075, 118, 5.4, 4.7 +02-Jul-2020 12:00, 7.276,-9999 , 25.1, 1013.5,-0.017,-0.021, 136, 6.1, 5.1 +02-Jul-2020 13:00, 7.233,-9999 , 24.4, 1014.0,-0.030,-0.027, 134, 7.8, 6.2 +02-Jul-2020 14:00, 6.674,-9999 , 23.9, 1014.1,-0.030,-0.022, 128, 8.3, 7.0 +02-Jul-2020 15:00, 5.865,-9999 , 23.3, 1014.3, 0.023, 0.031, 126, 8.0, 5.0 +02-Jul-2020 16:00, 4.959,-9999 , 22.8, 1014.2, 0.009, 0.020, 119, 5.9, 3.0 +02-Jul-2020 17:00, 4.134,-9999 , 22.7, 1014.2,-0.010,-0.001, 124, 7.0, 5.8 +02-Jul-2020 18:00, 3.556,-9999 , 22.5, 1014.3,-0.037,-0.028, 132, 6.6, 4.5 +02-Jul-2020 19:00, 3.445,-9999 , 22.3, 1014.3,-0.056,-0.046, 124, 7.6, 6.2 +02-Jul-2020 20:00, 3.957,-9999 , 22.2, 1014.7,-0.070,-0.059, 126, 8.5, 7.3 +02-Jul-2020 21:00, 4.897,-9999 , 21.9, 1015.2,-0.138,-0.124, 127, 9.8, 6.8 +02-Jul-2020 22:00, 5.965,-9999 , 22.2, 1015.7,-0.181,-0.161, 115, 12.2, 10.0 +02-Jul-2020 23:00, 6.991,-9999 , 22.2, 1016.3,-0.186,-0.161, 121, 13.3, 9.7 +03-Jul-2020 00:00, 7.779,-9999 , 22.7, 1017.0,-0.142,-0.111, 116, 12.3, 9.5 +03-Jul-2020 01:00, 7.993,-9999 , 24.3, 1017.2,-0.119,-0.081, 106, 11.8, 7.8 +03-Jul-2020 02:00, 7.525,-9999 , 25.3, 1016.8,-0.118,-0.078, 120, 10.2, 7.6 +03-Jul-2020 03:00, 6.647,-9999 , 26.3, 1015.9,-0.019, 0.016, 121, 8.1, 5.9 +03-Jul-2020 04:00, 5.518, 22.7, 27.5, 1015.3, 0.020, 0.046, 104, 6.5, 5.3 +03-Jul-2020 05:00, 4.246, 22.8, 27.6, 1014.2,-0.057,-0.038, 102, 6.3, 5.0 +03-Jul-2020 06:00, 3.099, 22.8, 28.2, 1013.6,-0.146,-0.137, 107, 6.1, 4.3 +03-Jul-2020 07:00, 2.380, 22.8, 29.0, 1013.3,-0.223,-0.220, 103, 6.3, 4.9 +03-Jul-2020 08:00, 2.529, 23.0, 28.5, 1013.3,-0.154,-0.154, 107, 5.4, 4.0 +03-Jul-2020 09:00, 3.432, 22.7, 26.1, 1014.0,-0.105,-0.104, 99, 5.4, 4.2 +03-Jul-2020 10:00, 4.625, 22.7, 25.8, 1014.5,-0.099,-0.091, 107, 5.9, 3.8 +03-Jul-2020 11:00, 5.867, 22.8, 25.7, 1015.3,-0.075,-0.061, 134, 4.8, 3.9 +03-Jul-2020 12:00, 6.974, 22.7, 24.6, 1015.8,-0.057,-0.036, 149, 5.3, 3.9 +03-Jul-2020 13:00, 7.703, 22.8, 24.5, 1016.2, 0.006, 0.032, 139, 5.9, 5.1 +03-Jul-2020 14:00, 7.665, 22.7, 24.2, 1016.2,-0.014, 0.016, 132, 7.5, 6.2 +03-Jul-2020 15:00, 6.956, 22.7, 24.0, 1015.9,-0.026, 0.003, 125, 7.9, 5.0 +03-Jul-2020 16:00, 6.000, 22.7, 23.4, 1015.8, 0.037, 0.063, 149, 8.5, 5.7 +03-Jul-2020 17:00, 4.936, 22.7, 23.5, 1015.5, 0.028, 0.053, 140, 8.3, 6.0 +03-Jul-2020 18:00, 3.919, 22.7, 23.3, 1015.3,-0.018, 0.005, 135, 8.3, 6.1 +03-Jul-2020 19:00, 3.191, 22.7, 22.8, 1014.8,-0.040,-0.020, 128, 7.3, 6.3 +03-Jul-2020 20:00, 3.066, 22.8, 22.6, 1015.1,-0.004, 0.012, 121, 7.4, 4.6 +03-Jul-2020 21:00, 3.711, 22.7, 22.0, 1015.2,-0.031,-0.013, 129, 7.5, 4.9 +03-Jul-2020 22:00, 4.862, 22.7, 22.3, 1015.7,-0.100,-0.079, 114, 6.6, 4.2 +03-Jul-2020 23:00, 6.209, 22.6, 22.8, 1016.0,-0.073,-0.049, 104, 6.8, 6.0 +04-Jul-2020 00:00, 7.495, 22.6, 23.4, 1016.5,-0.017, 0.011, 93, 7.6, 5.7 +04-Jul-2020 01:00, 8.377, 22.7, 23.8, 1016.6, 0.004, 0.037, 77, 6.7, 4.3 +04-Jul-2020 02:00, 8.536, 22.7, 26.6, 1016.1,-0.004, 0.029, 80, 9.3, 7.9 +04-Jul-2020 03:00, 7.889, 22.7, 27.3, 1015.6, 0.001, 0.029, 80, 9.6, 7.9 +04-Jul-2020 04:00, 6.723, 22.8, 28.4, 1014.8, 0.020, 0.043, 79, 9.2, 7.4 +04-Jul-2020 05:00, 5.312, 22.8, 29.2, 1014.0,-0.034,-0.019, 82, 9.0, 6.4 +04-Jul-2020 06:00, 3.864, 22.8, 29.6, 1013.5,-0.101,-0.094, 85, 6.8, 6.2 +04-Jul-2020 07:00, 2.634, 22.9, 30.1, 1013.3,-0.134,-0.132, 110, 7.2, 4.7 +04-Jul-2020 08:00, 1.940, 23.0, 30.1, 1013.2,-0.127,-0.127, 121, 5.8, 3.9 +04-Jul-2020 09:00, 2.230, 23.0, 30.3, 1013.5,-0.076,-0.076, 99, 5.7, 4.5 +04-Jul-2020 10:00, 3.355, 22.9, 26.4, 1014.1,-0.047,-0.044, 103, 6.1, 5.5 +04-Jul-2020 11:00, 4.769, 22.9, 25.1, 1015.0,-0.017,-0.007, 40, 6.4, 1.5 +04-Jul-2020 12:00, 6.190,-9999 , 25.7, 1015.6,-0.012, 0.006, 83, 6.6, 3.8 +04-Jul-2020 13:00, 7.439,-9999 , 24.5, 1016.1,-0.005, 0.019, 80, 5.6, 4.4 +04-Jul-2020 14:00, 8.190,-9999 , 24.5, 1016.3, 0.048, 0.076, 91, 8.0, 6.9 +04-Jul-2020 15:00, 7.986,-9999 , 23.6, 1016.4, 0.017, 0.047, 88, 7.5, 5.7 +04-Jul-2020 16:00, 7.057,-9999 , 23.4, 1016.3,-0.005, 0.026, 86, 7.4, 6.2 +04-Jul-2020 17:00, 5.908,-9999 , 22.9, 1016.3, 0.019, 0.049, 87, 7.6, 6.7 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100, 8.5, 7.1 +06-Jul-2020 23:00, 2.821, 22.0, 18.4, 1016.3, 0.074, 0.101, 90, 10.2, 7.8 +07-Jul-2020 00:00, 4.323, 22.3, 18.6, 1016.6, 0.087, 0.118, 79, 8.1, 6.6 +07-Jul-2020 01:00, 6.011, 22.3, 20.4, 1016.7, 0.048, 0.082, 76, 9.1, 6.9 +07-Jul-2020 02:00, 7.655, 22.3, 23.5, 1016.3, 0.046, 0.080, 81, 9.9, 8.4 +07-Jul-2020 03:00, 8.918, 22.4, 24.8, 1015.8, 0.062, 0.092, 88, 9.9, 6.7 +07-Jul-2020 04:00, 9.303, 22.4, 26.3, 1014.9, 0.097, 0.121, 98, 7.6, 4.4 +07-Jul-2020 05:00, 8.545, 22.5, 27.5, 1014.1, 0.089, 0.104, 116, 5.5, 3.7 +07-Jul-2020 06:00, 7.131, 22.5, 26.4, 1013.3, 0.018, 0.025, 151, 5.2, 4.1 +07-Jul-2020 07:00, 5.550, 22.5, 28.6, 1013.1,-0.038,-0.038, 161, 4.8, 3.8 +07-Jul-2020 08:00, 3.974, 22.5, 29.2, 1012.9,-0.031,-0.032, 158, 4.5, 3.7 +07-Jul-2020 09:00, 2.540, 22.4, 26.6, 1013.2,-0.005,-0.009, 178, 4.1, 3.1 +07-Jul-2020 10:00, 1.609, 22.4, 24.3, 1014.0, 0.030, 0.030, 189, 4.4, 4.1 +07-Jul-2020 11:00, 1.825, 22.3, 23.5, 1014.4, 0.074, 0.082, 177, 4.7, 3.1 +07-Jul-2020 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28.6, 1012.2,-0.060,-0.067, 108, 5.1, 4.5 +10-Jul-2020 07:00, 7.627,-9999 , 28.0, 1011.9,-0.015,-0.026, 125, 5.9, 5.0 +10-Jul-2020 08:00, 6.459,-9999 , 28.5, 1012.1, 0.043, 0.030, 118, 6.3, 5.1 +10-Jul-2020 09:00, 5.128,-9999 , 27.7, 1012.5, 0.024, 0.013, 113, 6.1, 5.6 +10-Jul-2020 10:00, 3.824,-9999 , 25.5, 1013.2,-0.013,-0.020, 111, 6.0, 5.7 +10-Jul-2020 11:00, 2.789,-9999 , 25.4, 1014.0, 0.021, 0.022, 117, 6.3, 5.6 +10-Jul-2020 12:00, 2.285,-9999 , 24.0, 1014.5, 0.013, 0.021, 52, 6.0, 1.7 +10-Jul-2020 13:00, 2.752,-9999 , 25.6, 1015.2,-0.002, 0.011, 298, 3.4, 1.8 +10-Jul-2020 14:00, 3.934,-9999 , 24.5, 1015.2, 0.018, 0.038, 121, 3.2, 1.3 +10-Jul-2020 15:00, 5.289,-9999 , 23.3, 1015.0,-0.004, 0.015, 145, 7.0, 3.5 +10-Jul-2020 16:00, 6.648,-9999 , 22.6, 1014.7, 0.001, 0.018, 122, 6.3, 4.0 +10-Jul-2020 17:00, 7.792,-9999 , 22.4, 1014.4, 0.018, 0.032, 123, 7.5, 3.5 +10-Jul-2020 18:00, 8.301,-9999 , 22.3, 1014.1, 0.035, 0.046, 113, 5.8, 4.5 +10-Jul-2020 19:00, 7.881,-9999 , 22.4, 1014.1, 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111, 7.1, 5.7 +11-Jul-2020 09:00, 5.739,-9999 , 26.6, 1013.2, 0.005, 0.001, 111, 7.2, 5.8 +11-Jul-2020 10:00, 4.578,-9999 , 25.0, 1013.7, 0.013, 0.013, 110, 6.7, 5.7 +11-Jul-2020 11:00, 3.546,-9999 , 24.5, 1014.7, 0.018, 0.023, 138, 7.0, 5.6 +11-Jul-2020 12:00, 2.813,-9999 , 24.0, 1015.4,-0.003, 0.012, 136, 7.9, 6.7 +11-Jul-2020 13:00, 2.754,-9999 , 23.4, 1015.5,-0.054,-0.032, 139, 8.2, 7.0 +11-Jul-2020 14:00, 3.512,-9999 , 22.9, 1015.4,-0.061,-0.038, 134, 9.0, 7.7 +11-Jul-2020 15:00, 4.648,-9999 , 22.1, 1015.2,-0.068,-0.046, 135, 10.1, 8.6 +11-Jul-2020 16:00, 5.826,-9999 , 22.0, 1015.1,-0.114,-0.095, 131, 10.3, 8.7 +11-Jul-2020 17:00, 6.911,-9999 , 21.9, 1014.8,-0.136,-0.118, 131, 12.1, 9.9 +11-Jul-2020 18:00, 7.631,-9999 , 21.8, 1014.6,-0.178,-0.163, 132, 15.0, 11.5 +11-Jul-2020 19:00, 7.675,-9999 , 21.6, 1014.8,-0.187,-0.174, 126, 14.5, 11.9 +11-Jul-2020 20:00, 7.069,-9999 , 20.8, 1014.9,-0.113,-0.097, 118, 14.7, 11.1 +11-Jul-2020 21:00, 6.145,-9999 , 20.1, 1015.3,-0.022,-0.005, 110, 13.5, 9.9 +11-Jul-2020 22:00, 5.108,-9999 , 19.8, 1015.6, 0.024, 0.045, 103, 13.6, 10.9 +11-Jul-2020 23:00, 4.113,-9999 , 19.4, 1016.0, 0.011, 0.035, 99, 13.2, 9.4 +12-Jul-2020 00:00, 3.397,-9999 , 20.0, 1016.4, 0.015, 0.043, 94, 11.6, 9.6 +12-Jul-2020 01:00, 3.195,-9999 , 21.9, 1016.6,-0.020, 0.011, 95, 14.3, 11.3 +12-Jul-2020 02:00, 3.702,-9999 , 23.4, 1016.0,-0.082,-0.049, 91, 14.6, 10.7 +12-Jul-2020 03:00, 4.670,-9999 , 24.6, 1015.2,-0.106,-0.079, 88, 13.5, 9.8 +12-Jul-2020 04:00, 5.727,-9999 , 25.6, 1014.1,-0.127,-0.109, 92, 12.2, 7.7 +12-Jul-2020 05:00, 6.686,-9999 , 26.3, 1013.0,-0.116,-0.108, 97, 9.5, 6.0 +12-Jul-2020 06:00, 7.371,-9999 , 27.4, 1012.3,-0.094,-0.098, 104, 8.0, 5.7 +12-Jul-2020 07:00, 7.540,-9999 , 27.8, 1012.0,-0.068,-0.078, 113, 6.1, 3.6 +12-Jul-2020 08:00, 7.086,-9999 , 28.2, 1012.0,-0.016,-0.029, 126, 5.7, 3.3 +12-Jul-2020 09:00, 6.219,-9999 , 27.0, 1012.6,-0.005,-0.017, 121, 4.9, 4.3 +12-Jul-2020 10:00, 5.236,-9999 , 24.9, 1012.9, 0.010, 0.004, 122, 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1014.2,-0.031,-0.017, 101, 7.2, 4.9 +15-Jul-2020 19:00, 5.485, 21.6, 19.4, 1013.8,-0.025,-0.017, 103, 8.2, 6.7 +15-Jul-2020 20:00, 6.050, 21.6, 19.2, 1014.1, 0.004, 0.009, 111, 10.0, 6.9 +15-Jul-2020 21:00, 6.462, 21.6, 18.9, 1014.3, 0.001, 0.010, 99, 9.2, 7.4 +15-Jul-2020 22:00, 6.630, 21.4, 18.8, 1014.6,-0.027,-0.017, 106, 10.9, 9.1 +15-Jul-2020 23:00, 6.583, 21.5, 18.9, 1014.9,-0.010, 0.004, 98, 11.2, 9.1 +16-Jul-2020 00:00, 6.336, 21.4, 18.9, 1015.0, 0.031, 0.048, 94, 10.9, 8.5 +16-Jul-2020 01:00, 5.865, 21.4, 19.5, 1015.0, 0.006, 0.023, 83, 10.1, 5.4 +16-Jul-2020 02:00, 5.360, 21.0, 23.1, 1014.2, 0.022, 0.039, 87, 10.9, 7.5 +16-Jul-2020 03:00, 4.958, 20.8, 24.3, 1013.5, 0.083, 0.092, 84, 9.1, 5.5 +16-Jul-2020 04:00, 4.588, 20.9, 25.5, 1012.4, 0.080, 0.082, 92, 6.9, 5.7 +16-Jul-2020 05:00, 4.283, 20.9, 26.4, 1011.5, 0.015, 0.006, 125, 6.0, 3.6 +16-Jul-2020 06:00, 4.256, 21.1, 26.6, 1010.7,-0.025,-0.043, 137, 4.4, 4.0 +16-Jul-2020 07:00, 4.565, 21.3, 27.4, 1010.1, 0.003,-0.023, 144, 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8.469, 22.9, 25.7, 1012.4,-0.109,-0.115, 110, 8.1, 4.7 +19-Aug-2020 03:00, 8.871, 22.9, 26.6, 1011.7,-0.084,-0.093, 109, 5.3, 4.1 +19-Aug-2020 04:00, 8.207, 23.0, 28.5, 1010.7,-0.085,-0.101, 134, 4.3, 2.5 +19-Aug-2020 05:00, 6.890, 23.3, 28.4, 1009.9,-0.094,-0.120, 181, 3.3, 2.7 +19-Aug-2020 06:00, 5.373, 23.3, 28.1, 1009.0,-0.113,-0.148, 216, 4.3, 3.6 +19-Aug-2020 07:00, 3.832, 23.6, 29.2, 1008.7,-0.087,-0.130, 220, 5.1, 4.2 +19-Aug-2020 08:00, 2.456, 23.8, 27.3, 1009.0,-0.037,-0.082, 235, 7.5, 5.3 +19-Aug-2020 09:00, 1.538, 23.9, 26.6, 1009.4,-0.026,-0.067, 236, 9.0, 7.0 +19-Aug-2020 10:00, 1.676, 23.9, 25.1, 1009.8,-0.050,-0.087, 232, 9.1, 6.1 +19-Aug-2020 11:00, 2.922, 23.5, 25.0, 1010.5,-0.034,-0.068, 238, 8.9, 5.4 +19-Aug-2020 12:00, 4.554, 23.3, 24.1, 1011.5,-0.028,-0.054, 226, 7.6, 4.7 +19-Aug-2020 13:00, 6.261, 23.4, 24.4, 1012.0,-0.037,-0.054, 190, 5.2, 3.1 +19-Aug-2020 14:00, 7.839, 23.1, 24.0, 1012.4,-0.053,-0.065, 149, 4.4, 3.2 +19-Aug-2020 15:00, 8.797, 23.1, 23.4, 1012.3,-0.047,-0.056, 144, 4.5, 2.6 +19-Aug-2020 16:00, 8.583, 23.1, 23.7, 1012.2,-0.068,-0.077, 145, 5.4, 4.2 +19-Aug-2020 17:00, 7.477, 23.1, 23.2, 1011.9,-0.046,-0.057, 128, 5.8, 3.1 +19-Aug-2020 18:00, 6.088, 23.1, 22.8, 1011.4, 0.001,-0.013, 127, 7.1, 3.6 +19-Aug-2020 19:00, 4.572, 23.2, 22.9, 1011.1,-0.002,-0.021, 100, 6.9, 5.4 +19-Aug-2020 20:00, 3.116, 23.2, 21.9, 1011.5,-0.002,-0.023, 91, 7.9, 4.2 +19-Aug-2020 21:00, 2.009, 23.3, 22.1, 1011.8, 0.031, 0.014, 104, 6.7, 5.2 +19-Aug-2020 22:00, 1.816, 23.2, 21.6, 1012.5, 0.012,-0.002, 102, 8.3, 6.1 +19-Aug-2020 23:00, 2.921, 23.2, 21.6, 1013.3,-0.030,-0.036, 95, 6.8, 5.1 +20-Aug-2020 00:00, 4.656, 23.1, 21.9, 1013.9,-0.078,-0.077, 91, 6.1, 4.5 +20-Aug-2020 01:00, 6.471, 23.1, 22.7, 1014.4,-0.111,-0.104, 91, 7.2, 4.1 +20-Aug-2020 02:00, 8.177, 22.9, 25.2, 1013.9,-0.088,-0.077, 111, 4.5, 3.1 +20-Aug-2020 03:00, 9.279, 23.0, 27.1, 1013.0,-0.069,-0.063, 116, 6.5, 3.4 +20-Aug-2020 04:00, 9.217, 23.0, 29.5, 1012.0,-0.070,-0.074, 131, 4.6, 2.0 +20-Aug-2020 05:00, 8.068, 23.2, 30.2, 1011.1,-0.062,-0.075, 157, 2.4, 1.5 +20-Aug-2020 06:00, 6.492, 23.3, 31.0, 1010.4,-0.043,-0.065, 200, 2.5, 1.7 +20-Aug-2020 07:00, 4.815, 23.4, 29.7, 1010.1,-0.034,-0.063, 248, 4.0, 2.8 +20-Aug-2020 08:00, 3.151, 23.8, 26.6, 1010.3,-0.018,-0.049, 225, 7.8, 6.5 +20-Aug-2020 09:00, 1.720, 23.8, 25.3, 1010.8, 0.014,-0.014, 223, 8.6, 6.7 +20-Aug-2020 10:00, 1.030, 23.9, 24.5, 1011.2, 0.003,-0.021, 231, 8.2, 5.9 +20-Aug-2020 11:00, 1.760, 23.9, 24.5, 1011.9,-0.006,-0.026, 227, 8.0, 6.5 +20-Aug-2020 12:00, 3.419, 23.4, 24.1, 1012.8,-0.026,-0.039, 222, 8.1, 6.7 +20-Aug-2020 13:00, 5.289, 23.3, 23.6, 1013.5,-0.060,-0.064, 207, 7.6, 5.9 +20-Aug-2020 14:00, 7.197, 23.2, 23.5, 1013.7,-0.075,-0.072, 205, 7.0, 6.0 +20-Aug-2020 15:00, 8.765, 23.1, 23.8, 1013.7,-0.080,-0.075, 195, 8.6, 7.2 +20-Aug-2020 16:00, 9.305, 23.1, 23.8, 1013.4,-0.074,-0.070, 193, 8.3, 5.8 +20-Aug-2020 17:00, 8.551, 23.1, 23.4, 1013.0,-0.060,-0.059, 192, 7.4, 5.1 +20-Aug-2020 18:00, 7.147, 23.1, 23.2, 1013.0, 0.009, 0.006, 203, 7.3, 5.0 +20-Aug-2020 19:00, 5.573, 23.2, 23.1, 1012.8, 0.072, 0.069, 196, 6.2, 4.6 +20-Aug-2020 20:00, 3.880,-9999 , 22.6, 1013.0, 0.052, 0.048, 180, 5.4, 2.3 +20-Aug-2020 21:00, 2.341,-9999 , 22.6, 1013.3, 0.079, 0.077, 133, 3.7, 2.5 +20-Aug-2020 22:00, 1.352,-9999 , 22.2, 1013.9, 0.099, 0.100, 127, 4.1, 2.1 +20-Aug-2020 23:00, 1.707,-9999 , 22.8, 1014.4, 0.062, 0.069, 95, 3.9, 3.2 +21-Aug-2020 00:00, 3.335,-9999 , 22.9, 1015.0, 0.015, 0.027, 103, 3.9, 2.5 +21-Aug-2020 01:00, 5.303,-9999 , 23.8, 1015.3,-0.067,-0.050, 96, 5.4, 4.5 +21-Aug-2020 02:00, 7.304,-9999 , 26.5, 1015.0,-0.081,-0.061, 97, 4.9, 3.0 +21-Aug-2020 03:00, 8.987,-9999 , 28.5, 1014.1,-0.077,-0.060, 117, 4.9, 3.1 +21-Aug-2020 04:00, 9.669,-9999 , 30.4, 1013.2,-0.118,-0.111, 123, 4.1, 3.0 +21-Aug-2020 05:00, 9.028,-9999 , 31.5, 1012.4,-0.124,-0.125, 151, 3.8, 3.7 +21-Aug-2020 06:00, 7.531,-9999 , 29.5, 1011.7,-0.106,-0.115, 207, 4.0, 3.5 +21-Aug-2020 07:00, 5.858,-9999 , 31.2, 1011.3,-0.041,-0.057, 233, 4.9, 3.9 +21-Aug-2020 08:00, 4.110,-9999 , 29.4, 1011.5, 0.000,-0.019, 225, 5.7, 4.2 +21-Aug-2020 09:00, 2.453,-9999 , 25.5, 1011.8, 0.056, 0.038, 215, 8.1, 6.6 +21-Aug-2020 10:00, 1.185,-9999 , 24.1, 1012.3, 0.113, 0.099, 212, 8.1, 6.4 +21-Aug-2020 11:00, 1.011,-9999 , 24.6, 1013.1, 0.068, 0.059, 218, 7.9, 4.9 +21-Aug-2020 12:00, 2.280,-9999 , 26.3, 1013.9,-0.004,-0.004, 211, 6.7, 5.2 +21-Aug-2020 13:00, 4.182,-9999 , 25.5, 1014.4,-0.065,-0.058, 231, 6.2, 3.4 +21-Aug-2020 14:00, 6.230,-9999 , 24.7, 1014.7,-0.086,-0.074, 253, 4.6, 2.2 +21-Aug-2020 15:00, 8.205,-9999 , 23.6, 1014.4,-0.079,-0.065, 229, 3.5, 2.6 +21-Aug-2020 16:00, 9.476,-9999 , 22.7, 1014.4,-0.075,-0.064, 268, 3.0, 1.5 +21-Aug-2020 17:00, 9.385,-9999 , 23.2, 1014.3,-0.076,-0.065, 238, 3.6, 2.5 +21-Aug-2020 18:00, 8.150,-9999 , 23.0, 1014.1,-0.069,-0.059, 191, 3.8, 2.3 +21-Aug-2020 19:00, 6.575,-9999 , 22.9, 1013.9, 0.010, 0.018, 196, 2.8, 2.0 +21-Aug-2020 20:00, 4.866,-9999 , 23.5, 1014.2, 0.073, 0.079, 137, 4.4, 3.5 +21-Aug-2020 21:00, 3.116,-9999 , 23.1, 1014.5, 0.099, 0.108, 132, 4.8, 2.5 +21-Aug-2020 22:00, 1.621,-9999 , 23.2, 1015.2, 0.133, 0.146, 100, 6.6, 5.5 +21-Aug-2020 23:00, 0.991,-9999 , 23.4, 1015.9, 0.060, 0.080, 93, 6.3, 4.5 +22-Aug-2020 00:00, 1.990,-9999 , 23.3, 1016.4, 0.002, 0.029, 87, 6.1, 3.9 +22-Aug-2020 01:00, 3.929,-9999 , 24.3, 1016.7,-0.057,-0.025, 70, 4.2, 1.6 +22-Aug-2020 02:00, 5.980,-9999 , 26.8, 1016.3,-0.151,-0.117, 103, 3.8, 2.8 +22-Aug-2020 03:00, 8.005,-9999 , 29.2, 1015.3,-0.150,-0.120, 92, 5.5, 4.2 +22-Aug-2020 04:00, 9.457,-9999 , 31.5, 1014.1,-0.125,-0.106, 113, 4.1, 3.0 +22-Aug-2020 05:00, 9.630,-9999 , 31.1, 1013.2,-0.099,-0.092, 146, 2.5, 1.6 +22-Aug-2020 06:00, 8.521,-9999 , 33.2, 1012.4,-0.080,-0.082, 177, 4.1, 1.6 +22-Aug-2020 07:00, 6.892,-9999 , 31.5, 1012.1,-0.047,-0.056, 234, 5.9, 4.3 +22-Aug-2020 08:00, 5.171,-9999 , 27.7, 1012.2, 0.015, 0.003, 229, 8.1, 6.7 +22-Aug-2020 09:00, 3.387,-9999 , 27.4, 1012.3, 0.034, 0.023, 230, 8.2, 6.0 +22-Aug-2020 10:00, 1.811,-9999 , 25.4, 1012.7, 0.073, 0.064, 227, 8.3, 6.1 +22-Aug-2020 11:00, 0.905,-9999 , 26.0, 1013.3, 0.067, 0.063, 228, 8.2, 5.7 +22-Aug-2020 12:00, 1.446,-9999 , 25.4, 1013.7, 0.021, 0.022, 221, 7.5, 5.1 +22-Aug-2020 13:00, 3.178,-9999 , 24.4, 1014.0, 0.001, 0.006, 205, 6.4, 4.9 +22-Aug-2020 14:00, 5.195,-9999 , 23.9, 1013.9,-0.037,-0.030, 202, 5.2, 4.0 +22-Aug-2020 15:00, 7.251,-9999 , 23.4, 1014.0,-0.070,-0.064, 199, 4.4, 3.1 +22-Aug-2020 16:00, 8.992,-9999 , 24.6, 1013.9,-0.100,-0.092, 139, 4.1, 2.5 +22-Aug-2020 17:00, 9.708,-9999 , 23.5, 1013.4,-0.081,-0.075, 151, 4.1, 1.8 +22-Aug-2020 18:00, 9.029,-9999 , 23.7, 1012.7,-0.054,-0.053, 137, 4.1, 3.2 +22-Aug-2020 19:00, 7.567,-9999 , 23.6, 1012.2,-0.024,-0.030, 69, 5.0, 2.9 +22-Aug-2020 20:00, 5.931,-9999 , 24.0, 1012.2, 0.060, 0.050, 86, 5.5, 4.8 +22-Aug-2020 21:00, 4.156,-9999 , 23.2, 1012.5, 0.122, 0.111, 79, 5.3, 2.7 +22-Aug-2020 22:00, 2.470,-9999 , 23.4, 1012.8, 0.187, 0.180, 74, 5.1, 2.3 +22-Aug-2020 23:00, 1.227,-9999 , 23.4, 1013.1, 0.171, 0.167, 77, 4.0, 2.8 +23-Aug-2020 00:00, 1.275,-9999 , 24.5, 1013.4, 0.089, 0.088, 75, 4.3, 2.2 +23-Aug-2020 01:00, 2.762,-9999 , 26.1, 1013.4, 0.026, 0.027, 86, 4.2, 3.6 +23-Aug-2020 02:00, 4.729,-9999 , 28.8, 1013.0,-0.059,-0.057, 89, 5.3, 4.4 +23-Aug-2020 03:00, 6.776,-9999 , 32.6, 1012.2,-0.084,-0.087, 106, 4.4, 2.2 +23-Aug-2020 04:00, 8.577,-9999 , 29.7, 1011.2,-0.108,-0.119, 184, 3.0, 2.7 +23-Aug-2020 05:00, 9.519,-9999 , 30.9, 1010.2,-0.105,-0.126, 187, 3.4, 2.3 +23-Aug-2020 06:00, 9.148,-9999 , 27.1, 1009.5,-0.030,-0.061, 216, 7.9, 6.6 +23-Aug-2020 07:00, 7.812,-9999 , 27.8, 1009.4, 0.018,-0.019, 269, 9.2, 4.5 +23-Aug-2020 08:00, 6.232,-9999 , 27.1, 1009.8, 0.085, 0.047, 304, 6.7, 4.8 +23-Aug-2020 09:00, 4.539,-9999 , 26.4, 1010.5, 0.136, 0.103, 279, 7.8, 5.8 +23-Aug-2020 10:00, 2.863,-9999 , 26.0, 1011.1, 0.145, 0.119, 283, 7.0, 4.9 +23-Aug-2020 11:00, 1.521,-9999 , 26.8, 1011.9, 0.101, 0.080, 306, 6.3, 4.8 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01:00, 2.039, 23.6, 25.7, 1014.0, 0.080, 0.083, 329, 6.4, 4.9 +24-Aug-2020 02:00, 3.720, 23.4, 26.4, 1014.3, 0.061, 0.069, 330, 7.6, 6.0 +24-Aug-2020 03:00, 5.580, 23.4, 27.2, 1013.8, 0.037, 0.048, 329, 7.8, 6.4 +24-Aug-2020 04:00, 7.368, 23.4, 25.6, 1013.2,-0.004, 0.001, 317, 8.2, 7.0 +24-Aug-2020 05:00, 8.750, 23.5, 25.7, 1012.7,-0.034,-0.035, 319, 10.4, 7.6 +24-Aug-2020 06:00, 9.147, 23.5, 25.7, 1012.1, 0.010, 0.005, 319, 10.6, 8.4 +24-Aug-2020 07:00, 8.305, 23.5, 25.7, 1011.8, 0.009,-0.003, 324, 11.2, 7.9 +24-Aug-2020 08:00, 6.903, 23.6, 25.8, 1012.0,-0.001,-0.015, 312, 9.3, 6.4 +24-Aug-2020 09:00, 5.441, 23.7, 25.2, 1012.3, 0.071, 0.059, 305, 9.1, 6.6 +24-Aug-2020 10:00, 3.926, 23.7, 24.5, 1012.8, 0.139, 0.130, 302, 8.4, 5.6 +24-Aug-2020 11:00, 2.577, 23.9, 24.2, 1013.4, 0.174, 0.170, 303, 6.9, 4.0 +24-Aug-2020 12:00, 1.751, 24.2, 23.9, 1013.9, 0.108, 0.110, 298, 6.1, 2.6 +24-Aug-2020 13:00, 2.121, 23.9, 23.9, 1014.8, 0.042, 0.050, 280, 3.1, 1.8 +24-Aug-2020 14:00, 3.548, 23.7, 23.4, 1015.1, 0.020, 0.036, 290, 3.5, 2.5 +24-Aug-2020 15:00, 5.235, 23.7, 23.4, 1015.1,-0.028,-0.009, 338, 3.8, 0.8 +24-Aug-2020 16:00, 6.950, 23.7, 23.4, 1014.6,-0.056,-0.038, 253, 2.6, 2.2 +24-Aug-2020 17:00, 8.466, 23.6, 22.8, 1014.2,-0.055,-0.042, 238, 4.4, 3.4 +24-Aug-2020 18:00, 9.225, 23.6, 22.7, 1014.3,-0.010,-0.001, 213, 4.0, 1.3 +24-Aug-2020 19:00, 8.769, 23.6, 22.4, 1014.2,-0.001, 0.009, 211, 2.4, 0.2 +24-Aug-2020 20:00, 7.538, 23.6, 22.6, 1014.7,-0.016,-0.007, 350, 5.4, 2.2 +24-Aug-2020 21:00, 6.154, 23.6, 22.6, 1015.2, 0.059, 0.074, 1, 3.3, 1.1 +24-Aug-2020 22:00, 4.642, 23.6, 22.6, 1015.8, 0.136, 0.155, 32, 2.2, 1.7 +24-Aug-2020 23:00, 3.176, 23.7, 21.8, 1016.6, 0.180, 0.206, 41, 3.3, 2.2 +25-Aug-2020 00:00, 2.101, 23.8, 23.2, 1017.3, 0.162, 0.195, 73, 3.5, 2.6 +25-Aug-2020 01:00, 1.957, 23.9, 25.0, 1017.9, 0.061, 0.102, 100, 3.4, 2.0 +25-Aug-2020 02:00, 2.977, 23.7, 25.2, 1017.7, 0.008, 0.054, 143, 2.5, 1.8 +25-Aug-2020 03:00, 4.463, 23.6, 23.3, 1016.9,-0.035, 0.009, 190, 3.6, 3.1 +25-Aug-2020 04:00, 5.969, 23.7, 24.5, 1015.9,-0.100,-0.065, 214, 4.1, 3.7 +25-Aug-2020 05:00, 7.379, 23.7, 24.8, 1014.9,-0.121,-0.096, 256, 3.9, 3.2 +25-Aug-2020 06:00, 8.311, 23.7, 25.8, 1014.0,-0.071,-0.056, 260, 4.2, 3.6 +25-Aug-2020 07:00, 8.250, 23.7, 25.9, 1013.2,-0.018,-0.012, 262, 7.4, 6.3 +25-Aug-2020 08:00, 7.277, 23.8, 27.3, 1013.1,-0.053,-0.054, 238, 6.8, 5.2 +25-Aug-2020 09:00, 6.055, 23.9, 26.4, 1013.4,-0.038,-0.039, 237, 8.3, 6.4 +25-Aug-2020 10:00, 4.803, 24.0, 24.8, 1014.1, 0.041, 0.043, 256, 8.3, 3.8 +25-Aug-2020 11:00, 3.603, 24.1, 24.4, 1015.2, 0.104, 0.114, 237, 4.8, 1.6 +25-Aug-2020 12:00, 2.694, 24.2, 24.1, 1016.1, 0.117, 0.137, 260, 2.8, 1.3 +25-Aug-2020 13:00, 2.467, 24.4, 23.4, 1016.3, 0.066, 0.094, 316, 2.0, 1.5 +25-Aug-2020 14:00, 3.236, 24.0, 23.2, 1016.3, 0.023, 0.053, 318, 2.3, 1.8 +25-Aug-2020 15:00, 4.550, 23.8, 22.9, 1016.1,-0.016, 0.013, 324, 2.3, 1.1 +25-Aug-2020 16:00, 5.963, 23.8, 23.0, 1015.8,-0.049,-0.021, 222, 2.0, 0.0 +25-Aug-2020 17:00, 7.313, 23.8, 23.0, 1015.3,-0.064,-0.039, 190, 1.8, 1.1 +25-Aug-2020 18:00, 8.315, 23.7, 23.4, 1014.7,-0.053,-0.033, 199, 3.8, 3.5 +25-Aug-2020 19:00, 8.555, 23.7, 23.6, 1014.4,-0.002, 0.012, 188, 4.7, 3.9 +25-Aug-2020 20:00, 7.886, 23.7, 23.4, 1014.5,-0.001, 0.010, 185, 5.2, 4.0 +25-Aug-2020 21:00, 6.773, 23.7, 23.3, 1015.2,-0.005, 0.007, 168, 5.5, 4.3 +25-Aug-2020 22:00, 5.553, 23.7, 22.9, 1016.1, 0.059, 0.080, 150, 5.5, 3.7 +25-Aug-2020 23:00, 4.306, 23.7, 24.0, 1017.1, 0.121, 0.150, 89, 4.3, 2.4 +26-Aug-2020 00:00, 3.225, 23.9, 25.0, 1017.8, 0.130, 0.169, 104, 4.3, 2.4 +26-Aug-2020 01:00, 2.600, 24.0, 25.7, 1017.8, 0.044, 0.089, 77, 2.6, 1.5 +26-Aug-2020 02:00, 2.856, 24.0, 26.3, 1017.3,-0.031, 0.014, 78, 2.3, 1.1 +26-Aug-2020 03:00, 3.873, 23.8, 27.3, 1016.2, 0.009, 0.048, 55, 1.9, 0.1 +26-Aug-2020 04:00, 4.994, 23.8, 29.2, 1015.0,-0.049,-0.021, 226, 5.6, 4.6 +26-Aug-2020 05:00, 6.082, 23.8, 29.7, 1013.8,-0.135,-0.118, 224, 6.1, 4.8 +26-Aug-2020 06:00, 7.042, 23.8, 30.0, 1012.6,-0.133,-0.129, 224, 6.1, 5.3 +26-Aug-2020 07:00, 7.568, 23.8, 30.5, 1012.3,-0.029,-0.036, 231, 6.3, 4.2 +26-Aug-2020 08:00, 7.286, 23.8, 28.7, 1012.3,-0.008,-0.017, 263, 4.8, 3.5 +26-Aug-2020 09:00, 6.473, 23.9, 29.0, 1012.7,-0.034,-0.043, 290, 8.3, 5.8 +26-Aug-2020 10:00, 5.515, 24.0, 26.1, 1013.2,-0.008,-0.013, 267, 7.5, 4.8 +26-Aug-2020 11:00, 4.547, 24.1, 25.6, 1014.3, 0.036, 0.037, 219, 5.7, 1.8 +26-Aug-2020 12:00, 3.737, 24.2, 24.9, 1014.8, 0.060, 0.071, 208, 3.7, 1.7 +26-Aug-2020 13:00, 3.312, 24.3, 25.1, 1014.8, 0.080, 0.096, 186, 4.2, 1.0 +26-Aug-2020 14:00, 3.496, 24.3, 25.5, 1014.6, 0.070, 0.085, 207, 3.8, 3.2 +26-Aug-2020 15:00, 4.253,-9999 , 24.3, 1014.6, 0.043, 0.056, 80, 4.0, 0.2 +26-Aug-2020 16:00, 5.261,-9999 , 24.3, 1014.4, 0.016, 0.029, 96, 1.8, 1.2 +26-Aug-2020 17:00, 6.285,-9999 , 23.6, 1013.9,-0.033,-0.022, 53, 2.2, 0.7 +26-Aug-2020 18:00, 7.174,-9999 , 23.2, 1013.4,-0.060,-0.054, 91, 1.9, 1.1 +26-Aug-2020 19:00, 7.743,-9999 , 23.1, 1013.2,-0.010,-0.009, 78, 4.2, 1.9 +26-Aug-2020 20:00, 7.729,-9999 , 22.8, 1013.2, 0.048, 0.047, 90, 2.6, 2.1 +26-Aug-2020 21:00, 7.111,-9999 , 22.9, 1013.5, 0.013, 0.013, 74, 3.3, 2.2 +26-Aug-2020 22:00, 6.249,-9999 , 22.5, 1014.3, 0.021, 0.024, 64, 4.4, 2.1 +26-Aug-2020 23:00, 5.348,-9999 , 23.0, 1015.1, 0.114, 0.125, 16, 5.0, 1.2 +27-Aug-2020 00:00, 4.485,-9999 , 24.3, 1015.7, 0.167, 0.186, 89, 2.7, 2.2 +27-Aug-2020 01:00, 3.794,-9999 , 25.1, 1016.1, 0.135, 0.160, 82, 3.3, 2.6 +27-Aug-2020 02:00, 3.497,-9999 , 27.5, 1015.5, 0.041, 0.069, 105, 5.2, 3.1 +27-Aug-2020 03:00, 3.803,-9999 , 32.3, 1014.3, 0.035, 0.056, 72, 5.3, 3.1 +27-Aug-2020 04:00, 4.452,-9999 , 32.6, 1013.3, 0.060, 0.069, 73, 9.5, 6.4 +27-Aug-2020 05:00, 5.151,-9999 , 28.6, 1012.5,-0.016,-0.016, 254, 8.6, 4.4 +27-Aug-2020 06:00, 5.880,-9999 , 28.4, 1011.7,-0.051,-0.059, 260, 7.5, 5.5 +27-Aug-2020 07:00, 6.511,-9999 , 28.8, 1011.3, 0.018, 0.002, 263, 8.2, 5.8 +27-Aug-2020 08:00, 6.778,-9999 , 27.6, 1011.2, 0.084, 0.065, 279, 8.6, 6.5 +27-Aug-2020 09:00, 6.566,-9999 , 26.3, 1011.6, 0.074, 0.054, 264, 8.6, 4.8 +27-Aug-2020 10:00, 6.009,-9999 , 25.5, 1012.1, 0.010,-0.006, 244, 5.9, 3.0 +27-Aug-2020 11:00, 5.380,-9999 , 24.7, 1013.0, 0.028, 0.017, 206, 4.7, 4.3 +27-Aug-2020 12:00, 4.800,-9999 , 24.7, 1014.0, 0.068, 0.066, 201, 5.0, 3.7 +27-Aug-2020 13:00, 4.388,-9999 , 24.7, 1014.2, 0.103, 0.111, 202, 6.1, 4.8 +27-Aug-2020 14:00, 4.215,-9999 , 24.7, 1014.0, 0.089, 0.099, 203, 5.9, 3.4 +27-Aug-2020 15:00, 4.368,-9999 , 24.6, 1013.6, 0.041, 0.048, 199, 4.2, 3.0 +27-Aug-2020 16:00, 4.824,-9999 , 24.1, 1013.0, 0.028, 0.031, 186, 4.2, 3.5 +27-Aug-2020 17:00, 5.434,-9999 , 24.3, 1012.8,-0.003,-0.005, 176, 5.0, 3.1 +27-Aug-2020 18:00, 6.090,-9999 , 24.1, 1012.6,-0.024,-0.028, 175, 6.1, 2.3 +27-Aug-2020 19:00, 6.645,-9999 , 23.8, 1012.1,-0.005,-0.012, 160, 4.4, 1.0 +27-Aug-2020 20:00, 6.983,-9999 , 24.3, 1012.1, 0.048, 0.036, 186, 3.7, 1.3 +27-Aug-2020 21:00, 6.973,-9999 , 24.4, 1012.3, 0.061, 0.049, 160, 3.6, 1.6 +27-Aug-2020 22:00, 6.614,-9999 , 23.6, 1013.2, 0.013, 0.004, 119, 3.0, 1.3 +27-Aug-2020 23:00, 6.112,-9999 , 22.9, 1014.2, 0.051, 0.052, 48, 3.0, 1.5 +28-Aug-2020 00:00, 5.548,-9999 , 24.1, 1014.6, 0.108, 0.118, 70, 3.7, 2.7 +28-Aug-2020 01:00, 4.998,-9999 , 25.7, 1014.8, 0.120, 0.133, 89, 3.3, 2.8 +28-Aug-2020 02:00, 4.544,-9999 , 27.6, 1014.3, 0.081, 0.095, 109, 4.6, 2.7 +28-Aug-2020 03:00, 4.265,-9999 , 31.4, 1013.5, 0.006, 0.016, 85, 9.1, 2.2 +28-Aug-2020 04:00, 4.226, 24.2, 34.3, 1012.1,-0.026,-0.025, 73, 12.2, 7.7 +28-Aug-2020 05:00, 4.406, 24.2, 34.3, 1011.1,-0.050,-0.062, 85, 10.2, 5.9 +28-Aug-2020 06:00, 4.808, 24.1, 30.3, 1010.7,-0.041,-0.063, 252, 8.4, 5.7 +28-Aug-2020 07:00, 5.298, 24.1, 29.7, 1010.1,-0.001,-0.027, 264, 7.9, 6.0 +28-Aug-2020 08:00, 5.754, 24.1, 29.0, 1010.3, 0.060, 0.029, 272, 9.0, 6.9 +28-Aug-2020 09:00, 6.072, 24.1, 27.0, 1010.8, 0.112, 0.083, 266, 7.7, 5.0 +28-Aug-2020 10:00, 6.163, 24.1, 26.6, 1011.5, 0.118, 0.095, 267, 7.2, 5.1 +28-Aug-2020 11:00, 5.994, 24.1, 25.7, 1012.5, 0.070, 0.054, 232, 6.8, 3.9 +28-Aug-2020 12:00, 5.691, 24.1, 24.9, 1013.6, 0.028, 0.022, 192, 6.3, 3.4 +28-Aug-2020 13:00, 5.405, 24.1, 25.1, 1013.8, 0.041, 0.044, 201, 5.3, 4.7 +28-Aug-2020 14:00, 5.169, 24.1, 25.3, 1014.0, 0.077, 0.083, 185, 5.6, 3.8 +28-Aug-2020 15:00, 4.963, 24.2, 25.0, 1013.8, 0.057, 0.065, 178, 5.9, 3.5 +28-Aug-2020 16:00, 4.829, 24.3, 25.1, 1013.2, 0.012, 0.017, 187, 5.5, 5.0 +28-Aug-2020 17:00, 4.866, 24.4, 24.9, 1013.0,-0.012,-0.012, 175, 6.2, 3.0 +28-Aug-2020 18:00, 5.130, 24.2, 24.2, 1012.9, 0.003, 0.000, 109, 4.8, 2.1 +28-Aug-2020 19:00, 5.544, 24.2, 24.1, 1012.7, 0.056, 0.053, 133, 3.3, 1.4 +28-Aug-2020 20:00, 5.947, 24.2, 24.6, 1012.8, 0.074, 0.068, 142, 4.6, 3.4 +28-Aug-2020 21:00, 6.265, 24.2, 23.9, 1013.1, 0.043, 0.039, 111, 5.0, 1.4 +28-Aug-2020 22:00, 6.482, 24.2, 23.4, 1013.5, 0.017, 0.016, 137, 4.6, 1.6 +28-Aug-2020 23:00, 6.538, 24.1, 24.3, 1014.1, 0.024, 0.027, 133, 4.7, 1.9 +29-Aug-2020 00:00, 6.404, 24.1, 23.2, 1014.7, 0.046, 0.055, 57, 5.5, 3.4 +29-Aug-2020 01:00, 6.125, 24.2, 26.3, 1014.8, 0.074, 0.089, 84, 4.7, 3.3 +29-Aug-2020 02:00, 5.746, 24.2, 28.2, 1014.3, 0.115, 0.130, 94, 4.5, 3.9 +29-Aug-2020 03:00, 5.253, 24.2, 29.7, 1013.3, 0.091, 0.101, 109, 5.2, 3.7 +29-Aug-2020 04:00, 4.664, 24.4, 31.7, 1012.1,-0.007,-0.008, 122, 5.8, 2.2 +29-Aug-2020 05:00, 4.158, 24.5, 31.4, 1011.3,-0.100,-0.112, 141, 5.1, 4.1 +29-Aug-2020 06:00, 3.946, 24.7, 33.9, 1010.6,-0.135,-0.156, 140, 5.7, 2.6 +29-Aug-2020 07:00, 4.165, 24.5, 31.7, 1010.5,-0.029,-0.055, 295, 7.9, 6.1 +29-Aug-2020 08:00, 4.609, 24.3, 30.5, 1010.3, 0.056, 0.029, 314, 8.2, 6.7 +29-Aug-2020 09:00, 5.157, 24.3, 29.6, 1010.7, 0.105, 0.076, 295, 7.6, 4.5 +29-Aug-2020 10:00, 5.692, 24.2, 27.6, 1011.3, 0.105, 0.080, 297, 5.4, 2.3 +29-Aug-2020 11:00, 6.142, 24.3, 27.3, 1012.3, 0.102, 0.084, 248, 3.2, 2.4 +29-Aug-2020 12:00, 6.435, 24.3, 25.6, 1012.9, 0.117, 0.109, 228, 4.0, 0.5 +29-Aug-2020 13:00, 6.480, 24.3, 24.9, 1013.2, 0.116, 0.113, 32, 1.7, 0.4 +29-Aug-2020 14:00, 6.253, 24.3, 24.8, 1013.2, 0.101, 0.101, 35, 2.0, 0.2 +29-Aug-2020 15:00, 5.817, 24.3, 23.9, 1013.0, 0.050, 0.049, 117, 2.0, 0.2 +29-Aug-2020 16:00, 5.322, 24.3, 23.8, 1012.5, 0.027, 0.024, 0, 1.0, 0.0 +29-Aug-2020 17:00, 4.872, 24.3, 23.4, 1012.0, 0.050, 0.042, 90, 2.3, 1.3 +29-Aug-2020 18:00, 4.521, 24.3, 22.0, 1011.9, 0.022, 0.009, 87, 4.5, 3.5 +29-Aug-2020 19:00, 4.468, 24.4, 22.2, 1011.7, 0.039, 0.025, 96, 3.7, 2.3 +29-Aug-2020 20:00, 4.792, 24.4, 22.5, 1011.8, 0.104, 0.088, 83, 3.9, 3.1 +29-Aug-2020 21:00, 5.335, 24.4, 22.3, 1012.3, 0.129, 0.115, 78, 3.4, 2.6 +29-Aug-2020 22:00, 5.950, 24.2, 22.3, 1013.0, 0.112, 0.103, 68, 5.0, 4.1 +29-Aug-2020 23:00, 6.520, 24.3, 22.9, 1013.7, 0.083, 0.082, 72, 6.7, 5.7 +30-Aug-2020 00:00, 6.942, 24.3, 24.1, 1014.1, 0.069, 0.074, 74, 7.5, 6.0 +30-Aug-2020 01:00, 7.104, 24.3, 26.6, 1014.5, 0.072, 0.081, 74, 8.1, 6.9 +30-Aug-2020 02:00, 6.884, 24.3, 28.6, 1014.2, 0.078, 0.090, 77, 8.5, 4.9 +30-Aug-2020 03:00, 6.317, 24.4, 30.3, 1013.0, 0.070, 0.079, 78, 8.1, 6.7 +30-Aug-2020 04:00, 5.524, 24.5, 31.1, 1012.0, 0.042, 0.038, 74, 10.4, 7.8 +30-Aug-2020 05:00, 4.616, 24.5, 31.9, 1011.2, 0.001,-0.013, 81, 9.3, 7.7 +30-Aug-2020 06:00, 3.841, 24.6, 32.2, 1010.6,-0.014,-0.035, 96, 10.4, 7.1 +30-Aug-2020 07:00, 3.389, 24.7, 32.6, 1010.4,-0.005,-0.032, 93, 9.3, 6.0 +30-Aug-2020 08:00, 3.441, 24.7, 31.7, 1010.5, 0.006,-0.022, 102, 9.2, 5.2 +30-Aug-2020 09:00, 4.013, 24.7, 32.2, 1011.0, 0.046, 0.019, 104, 9.5, 8.1 +30-Aug-2020 10:00, 4.852, 24.5, 25.9, 1012.0, 0.088, 0.066, 277, 9.2, 5.9 +30-Aug-2020 11:00, 5.747, 24.4, 25.7, 1013.2, 0.098, 0.087, 251, 6.8, 4.5 +30-Aug-2020 12:00, 6.561, 24.6, 25.7, 1014.0, 0.080, 0.081, 248, 6.2, 4.3 +30-Aug-2020 13:00, 7.127, 24.5, 25.6, 1014.1, 0.052, 0.059, 235, 6.4, 4.4 +30-Aug-2020 14:00, 7.244, 24.5, 25.2, 1014.1, 0.066, 0.074, 231, 6.7, 3.9 +30-Aug-2020 15:00, 6.863, 24.5, 24.8, 1013.7, 0.096, 0.104, 226, 4.7, 3.8 +30-Aug-2020 16:00, 6.150, 24.5, 24.7, 1013.4, 0.086, 0.090, 206, 4.1, 3.0 +30-Aug-2020 17:00, 5.273, 24.5, 24.2, 1013.0, 0.045, 0.046, 204, 2.9, 1.6 +30-Aug-2020 18:00, 4.420, 24.5, 23.3, 1012.6, 0.002, 0.000, 135, 2.8, 1.1 +30-Aug-2020 19:00, 3.814, 24.5, 23.1, 1012.4, 0.037, 0.031, 151, 3.0, 2.4 +30-Aug-2020 20:00, 3.643, 24.6, 22.3, 1012.3, 0.061, 0.053, 82, 4.1, 3.4 +30-Aug-2020 21:00, 4.055, 24.5, 22.3, 1012.4, 0.032, 0.023, 79, 3.8, 2.7 +30-Aug-2020 22:00, 4.945, 24.5, 22.7, 1012.8, 0.065, 0.057, 89, 4.6, 3.3 +30-Aug-2020 23:00, 6.010, 24.4, 23.3, 1013.6, 0.138, 0.134, 86, 4.7, 2.8 +31-Aug-2020 00:00, 6.977, 24.4, 23.6, 1014.0, 0.146, 0.150, 79, 4.0, 1.6 +31-Aug-2020 01:00, 7.648, 24.4, 25.4, 1014.3, 0.066, 0.074, 78, 4.9, 1.8 +31-Aug-2020 02:00, 7.833, 24.4, 29.0, 1014.0, 0.020, 0.030, 83, 5.6, 3.2 +31-Aug-2020 03:00, 7.410, 24.5, 31.8, 1013.0, 0.038, 0.044, 60, 8.7, 3.5 +31-Aug-2020 04:00, 6.491, 24.6, 30.9, 1012.0, 0.015, 0.012, 86, 9.8, 6.2 +31-Aug-2020 05:00, 5.328, 24.6, 31.2, 1010.8,-0.022,-0.035, 92, 10.7, 7.5 +31-Aug-2020 06:00, 4.137, 24.8, 31.4, 1010.1,-0.049,-0.074, 98, 9.3, 5.9 +31-Aug-2020 07:00, 3.144, 24.9, 32.0, 1009.5,-0.026,-0.058, 92, 8.3, 4.5 +31-Aug-2020 08:00, 2.647, 25.0, 31.9, 1009.3, 0.041, 0.004, 106, 7.1, 5.4 +31-Aug-2020 09:00, 2.928, 25.0, 29.5, 1009.8, 0.072, 0.033, 302, 9.6, 5.8 +31-Aug-2020 10:00, 3.817, 24.8, 27.2, 1010.7, 0.068, 0.034, 288, 7.5, 5.7 +31-Aug-2020 11:00, 4.994, 24.7, 26.0, 1011.7, 0.090, 0.065, 253, 7.3, 4.6 +31-Aug-2020 12:00, 6.198, 24.7, 25.3, 1012.5, 0.068, 0.054, 233, 6.8, 5.3 +31-Aug-2020 13:00, 7.279, 24.6, 25.9, 1012.5, 0.007, 0.000, 244, 7.7, 4.8 +31-Aug-2020 14:00, 7.947, 24.6, 26.0, 1012.4, 0.015, 0.007, 253, 6.7, 4.1 +31-Aug-2020 15:00, 7.831, 24.6, 25.5, 1012.3, 0.061, 0.052, 259, 5.1, 3.4 +31-Aug-2020 16:00, 7.033, 24.6, 24.8, 1012.0, 0.050, 0.041, 276, 3.5, 2.1 +31-Aug-2020 17:00, 5.984, 24.5, 24.7, 1011.4, 0.062, 0.049, 242, 3.5, 1.6 +31-Aug-2020 18:00, 4.837, 24.5, 23.8, 1010.8, 0.042, 0.023, 237, 2.5, 1.6 +31-Aug-2020 19:00, 3.754, 24.6, 25.2, 1010.6, 0.035, 0.011, 202, 6.7, 2.4 +31-Aug-2020 20:00, 3.011, 24.6, 23.8, 1010.3, 0.107, 0.080, 160, 3.5, 2.3 +31-Aug-2020 21:00, 2.975, 24.6, 22.1, 1010.8, 0.085, 0.056, 94, 4.0, 1.9 +31-Aug-2020 22:00, 3.799, 24.5, 21.1, 1011.6, 0.062, 0.038, 30, 3.0, 1.0 +31-Aug-2020 23:00, 5.052, 24.5, 20.6, 1012.1, 0.066, 0.051, 356, 3.1, 1.3 +01-Sep-2020 00:00, 6.403, 24.5, 23.4, 1012.3, 0.091, 0.080, 60, 1.7, 1.1 +01-Sep-2020 01:00, 7.643, 24.5, 25.6, 1012.5, 0.079, 0.070, 83, 1.9, 1.3 +01-Sep-2020 02:00, 8.415, 24.5, 26.6, 1012.2, 0.014, 0.007, 159, 2.3, 1.0 +01-Sep-2020 03:00, 8.399, 24.5, 26.4, 1011.5, 0.037, 0.026, 276, 4.4, 3.1 +01-Sep-2020 04:00, 7.573, 24.6, 26.4, 1011.1, 0.062, 0.044, 281, 5.6, 4.7 +01-Sep-2020 05:00, 6.338, 24.8, 26.1, 1010.7, 0.086, 0.064, 286, 6.5, 5.0 +01-Sep-2020 06:00, 4.935, 24.8, 26.2, 1010.2, 0.078, 0.052, 290, 7.1, 4.9 +01-Sep-2020 07:00, 3.562, 24.9, 26.5, 1009.8, 0.061, 0.030, 291, 6.8, 5.2 +01-Sep-2020 08:00, 2.460, 25.2, 26.6, 1009.6, 0.103, 0.068, 289, 6.7, 5.0 +01-Sep-2020 09:00, 2.031, 25.2, 25.8, 1009.5, 0.042, 0.006, 291, 5.5, 4.3 +01-Sep-2020 10:00, 2.663,-9999 , 25.0, 1009.7,-0.023,-0.061, 287, 5.1, 3.1 +01-Sep-2020 11:00, 3.999,-9999 , 24.5, 1010.3, 0.018,-0.017, 293, 3.8, 2.1 +01-Sep-2020 12:00, 5.520,-9999 , 24.5, 1010.8, 0.065, 0.037, 276, 3.7, 2.2 +01-Sep-2020 13:00, 7.013,-9999 , 24.1, 1011.1, 0.054, 0.030, 304, 3.9, 3.1 +01-Sep-2020 14:00, 8.186,-9999 , 24.3, 1011.3,-0.008,-0.029, 317, 4.7, 2.1 +01-Sep-2020 15:00, 8.574,-9999 , 24.1, 1011.0, 0.016,-0.004, 323, 4.5, 3.1 +01-Sep-2020 16:00, 7.967,-9999 , 24.1, 1010.7, 0.049, 0.027, 316, 5.0, 3.1 +01-Sep-2020 17:00, 6.812,-9999 , 24.3, 1010.3, 0.060, 0.035, 312, 5.0, 2.5 +01-Sep-2020 18:00, 5.500,-9999 , 24.1, 1010.1, 0.074, 0.045, 297, 4.2, 2.1 +01-Sep-2020 19:00, 4.137,-9999 , 24.0, 1009.9, 0.035, 0.004, 290, 2.9, 1.7 +01-Sep-2020 20:00, 2.949,-9999 , 22.9, 1010.0, 0.105, 0.072, 69, 2.3, 0.6 +01-Sep-2020 21:00, 2.278,-9999 , 22.6, 1010.5, 0.133, 0.101, 24, 1.4, 0.6 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11:00, 2.994,-9999 , 25.3, 1011.2,-0.017,-0.046, 270, 5.8, 4.9 +02-Sep-2020 12:00, 4.647,-9999 , 25.3, 1011.8, 0.014,-0.006, 273, 5.6, 4.8 +02-Sep-2020 13:00, 6.373,-9999 , 25.1, 1012.3, 0.035, 0.021, 218, 6.0, 4.0 +02-Sep-2020 14:00, 7.947,-9999 , 24.8, 1012.6,-0.013,-0.022, 0, 5.0, 0.0 +02-Sep-2020 15:00, 8.901,-9999 , 24.4, 1012.6,-0.034,-0.041, 343, 1.6, 0.1 +02-Sep-2020 16:00, 8.742,-9999 , 22.5, 1012.3, 0.030, 0.024, 342, 2.7, 1.6 +02-Sep-2020 17:00, 7.638,-9999 , 23.2, 1011.9, 0.042, 0.032, 30, 2.1, 0.1 +02-Sep-2020 18:00, 6.234,-9999 , 23.1, 1011.6, 0.064, 0.051, 177, 1.9, 0.7 +02-Sep-2020 19:00, 4.732,-9999 , 22.8, 1011.4, 0.038, 0.021, 157, 2.1, 1.0 +02-Sep-2020 20:00, 3.272,-9999 , 24.3, 1011.5, 0.038, 0.020, 142, 4.0, 3.2 +02-Sep-2020 21:00, 2.118,-9999 , 24.2, 1012.0, 0.124, 0.107, 169, 5.1, 3.3 +02-Sep-2020 22:00, 1.844,-9999 , 23.8, 1012.7, 0.062, 0.050, 177, 6.0, 3.2 +02-Sep-2020 23:00, 2.882,-9999 , 24.6, 1013.1, 0.028, 0.023, 163, 5.9, 2.6 +03-Sep-2020 00:00, 4.559,-9999 , 25.4, 1013.9, 0.027, 0.027, 95, 4.6, 2.3 +03-Sep-2020 01:00, 6.332,-9999 , 27.6, 1014.2, 0.020, 0.027, 92, 2.5, 0.5 +03-Sep-2020 02:00, 7.993,-9999 , 26.7, 1014.2,-0.001, 0.009, 79, 2.1, 0.4 +03-Sep-2020 03:00, 9.102,-9999 , 28.9, 1013.5,-0.041,-0.032, 187, 2.3, 1.6 +03-Sep-2020 04:00, 9.075,-9999 , 30.5, 1012.3,-0.041,-0.040, 222, 2.9, 2.3 +03-Sep-2020 05:00, 7.943,-9999 , 30.4, 1011.3,-0.078,-0.089, 222, 4.5, 3.7 +03-Sep-2020 06:00, 6.440,-9999 , 31.7, 1010.7,-0.054,-0.074, 241, 4.4, 2.6 +03-Sep-2020 07:00, 4.842,-9999 , 30.8, 1010.1,-0.026,-0.053, 241, 6.6, 4.8 +03-Sep-2020 08:00, 3.252,-9999 , 28.4, 1010.0,-0.028,-0.059, 246, 7.9, 6.1 +03-Sep-2020 09:00, 1.953,-9999 , 27.4, 1010.3, 0.090, 0.058, 238, 8.4, 4.9 +03-Sep-2020 10:00, 1.378,-9999 , 26.2, 1010.8, 0.060, 0.031, 242, 8.0, 4.5 +03-Sep-2020 11:00, 2.177,-9999 , 26.4, 1011.4, 0.024, 0.000, 233, 6.7, 5.3 +03-Sep-2020 12:00, 3.830,-9999 , 25.7, 1012.0, 0.047, 0.029, 225, 6.7, 4.5 +03-Sep-2020 13:00, 5.647,-9999 , 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8.2 +06-Sep-2020 08:00, 5.397, 25.7, 26.8, 1007.4, 0.138, 0.078, 296, 10.3, 8.1 +06-Sep-2020 09:00, 3.839, 25.8, 26.7, 1008.1, 0.158, 0.101, 301, 9.3, 5.9 +06-Sep-2020 10:00, 2.435, 26.0, 25.8, 1009.1, 0.142, 0.091, 281, 7.3, 3.5 +06-Sep-2020 11:00, 1.627, 26.2, 25.5, 1010.3, 0.090, 0.050, 269, 4.0, 1.4 +06-Sep-2020 12:00, 2.116, 25.8, 25.1, 1011.1, 0.066, 0.037, 291, 2.5, 1.4 +06-Sep-2020 13:00, 3.645, 25.6, 24.9, 1011.7, 0.029, 0.008, 309, 4.0, 2.7 +06-Sep-2020 14:00, 5.413, 25.6, 24.9, 1011.5,-0.037,-0.053, 303, 4.6, 2.7 +06-Sep-2020 15:00, 7.183, 25.5, 24.8, 1011.2,-0.045,-0.062, 305, 6.3, 2.9 +06-Sep-2020 16:00, 8.667, 25.5, 24.9, 1011.1,-0.009,-0.030, 309, 4.1, 2.0 +06-Sep-2020 17:00, 9.280, 25.5, 24.9, 1010.8, 0.023, 0.002, 320, 4.8, 2.9 +06-Sep-2020 18:00, 8.656, 25.5, 25.2, 1010.7, 0.041, 0.016, 321, 5.8, 4.3 +06-Sep-2020 19:00, 7.291, 25.5, 25.2, 1011.0, 0.074, 0.049, 320, 6.6, 4.8 +06-Sep-2020 20:00, 5.790, 25.5, 25.1, 1011.4, 0.115, 0.093, 327, 5.8, 3.8 +06-Sep-2020 21:00, 4.217, 25.5, 25.0, 1012.0, 0.118, 0.100, 320, 4.9, 3.1 +06-Sep-2020 22:00, 2.762, 25.6, 24.5, 1013.0, 0.120, 0.109, 337, 4.0, 2.1 +06-Sep-2020 23:00, 1.775, 25.6, 24.5, 1013.7, 0.088, 0.086, 346, 3.4, 2.4 +07-Sep-2020 00:00, 1.954, 25.7, 25.7, 1014.5, 0.081, 0.087, 308, 4.6, 3.4 +07-Sep-2020 01:00, 3.311, 25.5, 26.0, 1014.8, 0.084, 0.096, 282, 4.6, 3.2 +07-Sep-2020 02:00, 4.981, 25.5, 26.4, 1014.8, 0.022, 0.037, 255, 5.3, 3.2 +07-Sep-2020 03:00, 6.649, 25.6, 27.5, 1013.9,-0.005, 0.009, 212, 4.2, 3.5 +07-Sep-2020 04:00, 8.092, 25.5, 27.9, 1013.0,-0.022,-0.017, 226, 5.0, 4.0 +07-Sep-2020 05:00, 8.852, 25.6, 26.1, 1012.3,-0.028,-0.031, 253, 5.9, 4.5 +07-Sep-2020 06:00, 8.446, 25.6, 27.1, 1011.5,-0.069,-0.080, 251, 6.4, 4.7 +07-Sep-2020 07:00, 7.206, 25.7, 26.8, 1011.0,-0.067,-0.085, 246, 6.3, 5.0 +07-Sep-2020 08:00, 5.790, 25.9, 27.0, 1010.8,-0.021,-0.044, 247, 7.0, 5.4 +07-Sep-2020 09:00, 4.337, 25.9, 26.6, 1010.9, 0.005,-0.020, 250, 8.1, 6.2 +07-Sep-2020 10:00, 2.980, 26.1, 26.1, 1011.7, 0.033, 0.011, 245, 8.0, 4.6 +07-Sep-2020 11:00, 2.041, 26.5, 25.9, 1012.5, 0.049, 0.035, 236, 6.7, 4.7 +07-Sep-2020 12:00, 2.097, 26.3, 25.8, 1013.4, 0.084, 0.077, 236, 5.8, 3.3 +07-Sep-2020 13:00, 3.330, 25.8, 25.4, 1013.8, 0.115, 0.117, 223, 4.8, 3.6 +07-Sep-2020 14:00, 4.963, 25.7, 25.4, 1013.8, 0.057, 0.063, 215, 6.2, 5.2 +07-Sep-2020 15:00, 6.579, 25.8, 25.1, 1013.9, 0.005, 0.011, 214, 5.7, 4.0 +07-Sep-2020 16:00, 8.022, 25.7, 25.0, 1013.5,-0.029,-0.023, 205, 4.7, 3.7 +07-Sep-2020 17:00, 8.915, 25.7, 24.8, 1013.1,-0.024,-0.022, 186, 5.5, 4.3 +07-Sep-2020 18:00, 8.728, 25.6, 24.6, 1012.8,-0.045,-0.046, 196, 6.5, 5.3 +07-Sep-2020 19:00, 7.627, 25.6, 24.7, 1012.4,-0.016,-0.020, 199, 7.2, 6.4 +07-Sep-2020 20:00, 6.275, 25.6, 25.0, 1012.4, 0.075, 0.067, 189, 9.1, 7.2 +07-Sep-2020 21:00, 4.826, 25.6, 24.7, 1013.0, 0.083, 0.075, 177, 9.0, 3.9 +07-Sep-2020 22:00, 3.424, 25.6, 24.6, 1013.6, 0.105, 0.103, 161, 6.3, 4.4 +07-Sep-2020 23:00, 2.335, 25.8, 24.7, 1015.0, 0.112, 0.117, 82, 7.7, 4.3 +08-Sep-2020 00:00, 2.063, 25.8, 25.1, 1015.6, 0.103, 0.121, 31, 6.4, 2.0 +08-Sep-2020 01:00, 3.001, 25.6, 26.8, 1015.7, 0.135, 0.159, 18, 3.2, 1.2 +08-Sep-2020 02:00, 4.482, 25.6, 28.3, 1015.4, 0.086, 0.110, 359, 1.9, 0.3 +08-Sep-2020 03:00, 5.964, 25.7, 27.7, 1014.4, 0.040, 0.060, 269, 4.5, 3.3 +08-Sep-2020 04:00, 7.315, 25.6, 27.4, 1013.1, 0.001, 0.012, 263, 5.9, 5.1 +08-Sep-2020 05:00, 8.299, 25.7, 26.7, 1012.0, 0.012, 0.009, 273, 8.5, 6.9 +08-Sep-2020 06:00, 8.407, 25.7, 26.8, 1011.2, 0.013, 0.000, 263, 9.1, 7.7 +08-Sep-2020 07:00, 7.552, 25.7, 27.9, 1010.4, 0.015,-0.007, 242, 9.5, 5.4 +08-Sep-2020 08:00, 6.340, 25.8, 27.1, 1010.8, 0.098, 0.070, 289, 9.0, 5.2 +08-Sep-2020 09:00, 5.039, 25.9, 26.8, 1011.1, 0.112, 0.088, 291, 8.4, 5.5 +08-Sep-2020 10:00, 3.721, 26.1, 26.2, 1011.9, 0.072, 0.052, 273, 6.4, 3.5 +08-Sep-2020 11:00, 2.713, 26.3, 25.9, 1012.7, 0.077, 0.064, 271, 5.4, 2.8 +08-Sep-2020 12:00, 2.400, 26.4, 25.5, 1013.2, 0.095, 0.090, 266, 3.7, 1.9 +08-Sep-2020 13:00, 3.148, 26.0, 25.5, 1013.6, 0.112, 0.112, 234, 3.3, 1.3 +08-Sep-2020 14:00, 4.537, 25.8, 25.1, 1013.6, 0.050, 0.053, 238, 3.0, 1.2 +08-Sep-2020 15:00, 6.025, 25.8, 25.2, 1013.3, 0.038, 0.041, 232, 5.4, 3.6 +08-Sep-2020 16:00, 7.400, 25.8, 25.2, 1012.7, 0.051, 0.051, 203, 4.9, 2.6 +08-Sep-2020 17:00, 8.388, 25.8, 25.3, 1011.8, 0.027, 0.021, 215, 5.5, 3.8 +08-Sep-2020 18:00, 8.616, 25.8, 25.4, 1011.5, 0.016, 0.001, 199, 5.4, 3.7 +08-Sep-2020 19:00, 7.921, 25.8, 25.1, 1011.1, 0.038, 0.020, 203, 4.6, 3.3 +08-Sep-2020 20:00, 6.733, 25.8, 24.8, 1011.1, 0.111, 0.090, 186, 5.5, 4.5 +08-Sep-2020 21:00, 5.432, 25.8, 24.8, 1011.2, 0.120, 0.099, 179, 6.6, 1.9 +08-Sep-2020 22:00, 4.146, 25.8, 23.2, 1011.9, 0.112, 0.092, 18, 6.3, 2.7 +08-Sep-2020 23:00, 3.078, 25.8, 21.6, 1012.8, 0.143, 0.131, 17, 6.0, 4.8 +09-Sep-2020 00:00, 2.539, 25.8, 23.9, 1012.6, 0.150, 0.146, 340, 5.5, 2.7 +09-Sep-2020 01:00, 2.981, 25.8, 27.1, 1012.6, 0.183, 0.177, 279, 3.1, 0.1 +09-Sep-2020 02:00, 4.134, 25.8, 27.5, 1012.2, 0.130, 0.123, 281, 4.1, 3.0 +09-Sep-2020 03:00, 5.419, 25.8, 27.5, 1011.3, 0.090, 0.078, 290, 4.9, 4.1 +09-Sep-2020 04:00, 6.610, 25.8, 27.4, 1010.4, 0.086, 0.066, 293, 6.1, 3.9 +09-Sep-2020 05:00, 7.586, 25.8, 27.0, 1009.6, 0.087, 0.058, 288, 6.9, 5.9 +09-Sep-2020 06:00, 8.040, 25.9, 26.7, 1008.5, 0.116, 0.079, 293, 9.6, 8.5 +09-Sep-2020 07:00, 7.632, 25.9, 26.6, 1007.8, 0.099, 0.051, 297, 10.8, 8.7 +09-Sep-2020 08:00, 6.658, 25.9, 27.1, 1007.8, 0.125, 0.071, 306, 11.4, 8.5 +09-Sep-2020 09:00, 5.568, 26.1, 26.9, 1008.2, 0.161, 0.107, 313, 10.4, 6.7 +09-Sep-2020 10:00, 4.428, 26.1, 26.3, 1009.3, 0.103, 0.053, 337, 8.2, 4.6 +09-Sep-2020 11:00, 3.460, 26.3, 25.9, 1010.1, 0.074, 0.035, 281, 5.8, 2.8 +09-Sep-2020 12:00, 2.979, 26.4, 25.9, 1010.6, 0.097, 0.066, 236, 4.1, 2.7 +09-Sep-2020 13:00, 3.293, 26.2, 25.6, 1011.0, 0.134, 0.108, 236, 4.6, 2.0 +09-Sep-2020 14:00, 4.309, 26.0, 25.5, 1010.9, 0.082, 0.060, 232, 4.3, 3.1 +09-Sep-2020 15:00, 5.552, 26.0, 25.3, 1010.5, 0.041, 0.017, 234, 4.5, 2.7 +09-Sep-2020 16:00, 6.752, 26.0, 25.3, 1010.2, 0.079, 0.052, 242, 4.1, 3.1 +09-Sep-2020 17:00, 7.729, 25.9, 25.2, 1009.6, 0.096, 0.066, 227, 5.2, 4.5 +09-Sep-2020 18:00, 8.199, 25.9, 25.2, 1009.0, 0.091, 0.054, 206, 5.7, 4.2 +09-Sep-2020 19:00, 7.893, 25.9, 25.2, 1008.7, 0.062, 0.020, 200, 6.2, 4.1 +09-Sep-2020 20:00, 7.001, 25.9, 24.8, 1008.7, 0.093, 0.047, 188, 5.9, 4.9 +09-Sep-2020 21:00, 5.921, 25.9, 24.2, 1009.2, 0.136, 0.091, 184, 6.1, 4.3 +09-Sep-2020 22:00, 4.812, 25.9, 23.7, 1009.6, 0.109, 0.069, 163, 6.2, 2.6 +09-Sep-2020 23:00, 3.845, 26.0, 24.2, 1011.0, 0.119, 0.084, 102, 8.0, 6.0 +10-Sep-2020 00:00, 3.231, 26.1, 23.7, 1011.3, 0.149, 0.127, 71, 7.7, 4.5 +10-Sep-2020 01:00, 3.283, 26.1, 25.6, 1011.0, 0.201, 0.181, 51, 5.6, 1.0 +10-Sep-2020 02:00, 4.033, 26.0, 27.8, 1010.9, 0.199, 0.177, 71, 2.9, 1.4 +10-Sep-2020 03:00, 4.997, 26.0, 29.9, 1009.8, 0.111, 0.087, 232, 2.0, 1.1 +10-Sep-2020 04:00, 5.923, 26.0, 28.1, 1008.7, 0.085, 0.050, 277, 4.8, 3.5 +10-Sep-2020 05:00, 6.744, 26.0, 27.5, 1007.6, 0.085, 0.039, 283, 7.3, 6.5 +10-Sep-2020 06:00, 7.308, 26.0, 27.2, 1006.8, 0.117, 0.060, 285, 9.0, 8.0 +10-Sep-2020 07:00, 7.325, 26.0, 27.0, 1006.7, 0.141, 0.076, 289, 9.4, 6.6 +10-Sep-2020 08:00, 6.748, 26.1, 27.3, 1007.0, 0.142, 0.077, 298, 8.8, 7.5 +10-Sep-2020 09:00, 5.898, 26.1, 26.9, 1007.7, 0.143, 0.082, 310, 7.9, 6.4 +10-Sep-2020 10:00, 4.974, 26.3, 26.4, 1008.5, 0.069, 0.015, 302, 7.5, 3.9 +10-Sep-2020 11:00, 4.185, 26.3, 26.0, 1009.1, 0.040,-0.007, 309, 6.1, 5.2 +10-Sep-2020 12:00, 3.705, 26.4, 25.9, 1010.0, 0.072, 0.032, 291, 6.2, 2.6 +10-Sep-2020 13:00, 3.704, 26.4, 25.6, 1010.2, 0.101, 0.069, 291, 3.3, 1.8 +10-Sep-2020 14:00, 4.292, 26.3, 25.6, 1010.0, 0.090, 0.060, 244, 4.0, 2.2 +10-Sep-2020 15:00, 5.229, 26.1, 25.5, 1010.1, 0.068, 0.036, 236, 4.1, 3.1 +10-Sep-2020 16:00, 6.180, 26.1, 25.4, 1009.8, 0.102, 0.071, 231, 4.5, 3.2 +10-Sep-2020 17:00, 6.974, 26.1, 25.3, 1009.5, 0.102, 0.067, 213, 3.7, 2.0 +10-Sep-2020 18:00, 7.496, 26.1, 25.4, 1009.4, 0.091, 0.054, 163, 4.9, 3.7 +10-Sep-2020 19:00, 7.538, 26.1, 24.0, 1009.3, 0.086, 0.048, 176, 5.9, 2.0 +10-Sep-2020 20:00, 7.034, 26.1, 23.3, 1009.7, 0.075, 0.036, 148, 5.8, 4.7 +10-Sep-2020 21:00, 6.227, 26.1, 23.1, 1010.0, 0.078, 0.043, 170, 6.3, 2.8 +10-Sep-2020 22:00, 5.372, 26.1, 23.0, 1010.8, 0.078, 0.047, 149, 4.6, 3.3 +10-Sep-2020 23:00, 4.573, 26.1, 22.8, 1011.5, 0.063, 0.039, 146, 5.0, 2.6 +11-Sep-2020 00:00, 3.991, 26.1, 24.2, 1012.0, 0.076, 0.059, 97, 4.1, 2.8 +11-Sep-2020 01:00, 3.831, 26.2, 25.6, 1012.3, 0.142, 0.130, 90, 4.0, 2.7 +11-Sep-2020 02:00, 4.152, 26.3, 28.5, 1012.1, 0.175, 0.166, 93, 5.0, 3.3 +11-Sep-2020 03:00, 4.773, 26.1, 26.9, 1011.4, 0.146, 0.134, 263, 4.3, 3.2 +11-Sep-2020 04:00, 5.426, 26.1, 27.3, 1010.5, 0.143, 0.124, 283, 6.4, 5.7 +11-Sep-2020 05:00, 5.979, 26.2, 28.0, 1009.7, 0.113, 0.085, 305, 8.9, 7.3 +11-Sep-2020 06:00, 6.408, 26.2, 27.4, 1009.2, 0.071, 0.035, 306, 9.8, 8.0 +11-Sep-2020 07:00, 6.618, 26.2, 27.0, 1008.7, 0.081, 0.040, 304, 11.0, 9.7 +11-Sep-2020 08:00, 6.480, 26.2, 26.8, 1008.9, 0.112, 0.067, 322, 11.6, 8.4 +11-Sep-2020 09:00, 6.016, 26.2, 26.7, 1009.4, 0.103, 0.060, 315, 10.8, 8.6 +11-Sep-2020 10:00, 5.407, 26.3, 26.6, 1010.2, 0.047, 0.009, 321, 9.6, 6.5 +11-Sep-2020 11:00, 4.858, 26.3, 26.4, 1010.6, 0.020,-0.010, 321, 9.1, 7.1 +11-Sep-2020 12:00, 4.492, 26.3, 26.3, 1011.3, 0.052, 0.027, 314, 9.2, 6.1 +11-Sep-2020 13:00, 4.379, 26.3, 26.2, 1012.3, 0.095, 0.077, 257, 6.9, 2.3 +11-Sep-2020 14:00, 4.619, 26.3, 26.1, 1012.2, 0.135, 0.126, 247, 4.1, 3.3 +11-Sep-2020 15:00, 5.125, 26.3, 25.9, 1012.1, 0.125, 0.114, 227, 6.1, 5.3 +11-Sep-2020 16:00, 5.717, 26.2, 25.7, 1011.8, 0.129, 0.118, 215, 6.6, 5.2 +11-Sep-2020 17:00, 6.284, 26.2, 25.6, 1011.3, 0.146, 0.131, 197, 5.8, 4.2 +11-Sep-2020 18:00, 6.695, 26.3, 25.6, 1011.1, 0.098, 0.078, 191, 5.1, 3.6 +11-Sep-2020 19:00, 6.851, 26.3, 24.8, 1010.9, 0.039, 0.017, 186, 4.7, 3.2 +11-Sep-2020 20:00, 6.736, 26.3, 25.1, 1011.1, 0.037, 0.015, 181, 4.8, 2.2 +11-Sep-2020 21:00, 6.362, 26.3, 25.0, 1011.1, 0.051, 0.029, 207, 5.9, 3.7 +11-Sep-2020 22:00, 5.813, 26.2, 24.8, 1012.4, 0.023, 0.003, 62, 3.5, 1.3 +11-Sep-2020 23:00, 5.270, 26.2, 24.3, 1013.3, 0.016, 0.009, 8, 3.9, 3.2 +12-Sep-2020 00:00, 4.874, 26.2, 25.7, 1014.0, 0.077, 0.079, 20, 2.5, 1.1 +12-Sep-2020 01:00, 4.681, 26.2, 26.4, 1014.1, 0.173, 0.181, 298, 3.3, 2.1 +12-Sep-2020 02:00, 4.683, 26.3, 26.6, 1014.1, 0.220, 0.228, 314, 5.9, 3.6 +12-Sep-2020 03:00, 4.821, 26.4, 26.3, 1013.2, 0.171, 0.179, 269, 6.9, 5.0 +12-Sep-2020 04:00, 5.044, 26.4, 26.3, 1012.4, 0.138, 0.137, 293, 7.8, 5.0 +12-Sep-2020 05:00, 5.295, 26.4, 26.5, 1011.3, 0.125, 0.115, 295, 7.3, 5.4 +12-Sep-2020 06:00, 5.519, 26.4, 26.6, 1010.5, 0.056, 0.036, 284, 7.5, 5.3 +12-Sep-2020 07:00, 5.703, 26.4, 26.8, 1009.8, 0.000,-0.028, 294, 7.7, 6.6 +12-Sep-2020 08:00, 5.861, 26.4, 26.8, 1009.5, 0.048, 0.013, 280, 9.2, 7.9 +12-Sep-2020 09:00, 5.898, 26.4, 27.1, 1009.3, 0.121, 0.084, 285, 9.5, 7.3 +12-Sep-2020 10:00, 5.733, 26.4, 26.7, 1009.9, 0.100, 0.061, 297, 8.5, 5.6 +12-Sep-2020 11:00, 5.481, 26.5, 26.6, 1011.3, 0.052, 0.020, 273, 5.9, 3.9 +12-Sep-2020 12:00, 5.296, 26.6, 26.5, 1012.3, 0.063, 0.045, 245, 5.2, 3.4 +12-Sep-2020 13:00, 5.198, 26.6, 26.4, 1012.4, 0.104, 0.095, 258, 5.2, 2.8 +12-Sep-2020 14:00, 5.163, 26.5, 25.9, 1012.5, 0.112, 0.104, 300, 3.5, 2.0 +12-Sep-2020 15:00, 5.211, 26.5, 25.7, 1012.2, 0.078, 0.070, 289, 2.4, 0.7 +12-Sep-2020 16:00, 5.348, 26.6, 25.4, 1011.5, 0.067, 0.057, 273, 2.8, 1.5 +12-Sep-2020 17:00, 5.576, 26.6, 25.1, 1010.6, 0.099, 0.080, 308, 4.0, 3.5 +12-Sep-2020 18:00, 5.823, 26.6, 25.4, 1010.5, 0.081, 0.055, 239, 3.8, 2.2 +12-Sep-2020 19:00, 6.022, 26.6, 25.4, 1010.4, 0.040, 0.013, 208, 4.8, 3.8 +12-Sep-2020 20:00, 6.148, 26.6, 25.4, 1010.4, 0.023,-0.006, 209, 5.1, 3.5 +12-Sep-2020 21:00, 6.165, 26.6, 25.4, 1011.0, 0.008,-0.020, 196, 5.6, 4.3 +12-Sep-2020 22:00, 6.066, 26.6, 24.6, 1011.6,-0.019,-0.041, 169, 5.2, 2.0 +12-Sep-2020 23:00, 5.899, 26.6, 25.6, 1012.0,-0.013,-0.029, 213, 4.5, 3.7 +13-Sep-2020 00:00, 5.737, 26.6, 26.0, 1012.5, 0.052, 0.040, 211, 5.7, 4.8 +13-Sep-2020 01:00, 5.587, 26.6, 27.2, 1012.9, 0.134, 0.126, 200, 6.4, 2.0 +13-Sep-2020 02:00, 5.374, 26.7, 28.1, 1013.1, 0.142, 0.139, 136, 3.1, 0.9 +13-Sep-2020 03:00, 5.115, 26.7, 27.8, 1012.2, 0.077, 0.075, 238, 4.3, 3.0 +13-Sep-2020 04:00, 4.863, 26.8, 26.9, 1011.2, 0.031, 0.020, 266, 6.4, 4.9 +13-Sep-2020 05:00, 4.682, 26.8, 27.4, 1010.0, 0.023, 0.002, 271, 6.9, 5.3 +13-Sep-2020 06:00, 4.676, 26.7, 27.1, 1008.8, 0.038, 0.005, 269, 8.6, 7.1 +13-Sep-2020 07:00, 4.810, 26.8, 27.3, 1008.0, 0.046, 0.001, 262, 9.3, 7.5 +13-Sep-2020 08:00, 5.064, 26.9, 27.5, 1008.3, 0.064, 0.012, 263, 9.0, 4.6 +13-Sep-2020 09:00, 5.379, 26.8, 27.3, 1008.9, 0.083, 0.034, 272, 6.6, 3.4 +13-Sep-2020 10:00, 5.642, 26.7, 26.8, 1009.8, 0.044, 0.001, 288, 4.9, 3.0 +13-Sep-2020 11:00, 5.858, 26.7, 26.5, 1010.6, 0.025,-0.009, 314, 3.9, 3.1 +13-Sep-2020 12:00, 6.035, 26.7, 26.5, 1011.3, 0.074, 0.049, 312, 5.1, 3.6 +13-Sep-2020 13:00, 6.059, 26.6, 26.3, 1011.2, 0.087, 0.068, 284, 5.2, 3.7 +13-Sep-2020 14:00, 5.936, 26.6, 26.3, 1011.1, 0.100, 0.080, 286, 4.9, 2.9 +13-Sep-2020 15:00, 5.704, 26.8, 26.2, 1011.0, 0.104, 0.083, 231, 4.6, 3.3 +13-Sep-2020 16:00, 5.370, 26.9, 26.6, 1010.6, 0.069, 0.046, 205, 4.6, 4.1 +13-Sep-2020 17:00, 5.073, 26.9, 26.8, 1010.0, 0.049, 0.022, 199, 5.6, 4.1 +13-Sep-2020 18:00, 4.964, 26.9, 26.6, 1009.9, 0.039, 0.007, 190, 5.7, 4.9 +13-Sep-2020 19:00, 5.072, 26.9, 26.2, 1009.6, 0.060, 0.026, 200, 5.9, 2.6 +13-Sep-2020 20:00, 5.349, 26.9, 25.4, 1009.7, 0.091, 0.054, 145, 5.6, 4.2 +13-Sep-2020 21:00, 5.727, 26.9, 24.7, 1010.2, 0.107, 0.073, 137, 4.6, 1.4 +13-Sep-2020 22:00, 6.106, 26.8, 24.6, 1010.3, 0.095, 0.064, 305, 2.3, 0.1 +13-Sep-2020 23:00, 6.401, 26.8, 23.0, 1011.5, 0.068, 0.039, 16, 5.9, 3.9 +14-Sep-2020 00:00, 6.588, 26.8, 23.8, 1012.5, 0.094, 0.077, 358, 5.5, 1.1 +14-Sep-2020 01:00, 6.562, 26.8, 25.7, 1012.7, 0.093, 0.086, 314, 4.5, 3.4 +14-Sep-2020 02:00, 6.291, 26.9, 27.3, 1012.8, 0.077, 0.071, 156, 4.6, 2.6 +14-Sep-2020 03:00, 5.824, 27.1, 27.7, 1012.4, 0.058, 0.054, 146, 5.2, 2.8 +14-Sep-2020 04:00, 5.197, 27.2, 28.0, 1011.1, 0.024, 0.014, 221, 5.4, 3.8 +14-Sep-2020 05:00, 4.605, 27.4, 26.9, 1009.9, 0.095, 0.072, 268, 7.8, 6.0 +14-Sep-2020 06:00, 4.184, 27.3, 27.1, 1009.1, 0.167, 0.133, 285, 8.9, 7.1 +14-Sep-2020 07:00, 4.013, 27.1, 27.6, 1008.8, 0.184, 0.142, 287, 9.0, 7.2 +14-Sep-2020 08:00, 4.182, 27.1, 27.8, 1008.7, 0.187, 0.142, 297, 8.8, 5.8 +14-Sep-2020 09:00, 4.643, 27.1, 27.5, 1009.2, 0.152, 0.108, 290, 7.9, 4.7 +14-Sep-2020 10:00, 5.253, 26.8, 27.0, 1009.7, 0.086, 0.045, 290, 6.2, 4.0 +14-Sep-2020 11:00, 5.929, 26.9, 26.8, 1010.8, 0.044, 0.010, 327, 4.7, 1.1 +14-Sep-2020 12:00, 6.540, 26.9, 26.7, 1011.3, 0.054, 0.031, 293, 3.5, 2.3 +14-Sep-2020 13:00, 6.920, 26.9, 26.6, 1011.6, 0.089, 0.070, 263, 3.5, 1.9 +14-Sep-2020 14:00, 6.910, 26.8, 26.4, 1011.7, 0.126, 0.110, 220, 5.0, 2.9 +14-Sep-2020 15:00, 6.494,-9999 , 26.4, 1011.5, 0.133, 0.117, 198, 5.9, 4.3 +14-Sep-2020 16:00, 5.820,-9999 , 26.1, 1011.3, 0.098, 0.081, 186, 6.4, 3.2 +14-Sep-2020 17:00, 5.087,-9999 , 26.2, 1010.8, 0.109, 0.090, 145, 6.0, 1.9 +14-Sep-2020 18:00, 4.493,-9999 , 26.2, 1010.5, 0.129, 0.105, 177, 4.5, 1.9 +14-Sep-2020 19:00, 4.183,-9999 , 26.1, 1010.4, 0.125, 0.098, 161, 4.3, 2.0 +14-Sep-2020 20:00, 4.272,-9999 , 27.6, 1010.6, 0.119, 0.091, 96, 7.3, 5.8 +14-Sep-2020 21:00, 4.758,-9999 , 24.3, 1011.8, 0.071, 0.047, 12, 9.3, 4.1 +14-Sep-2020 22:00, 5.528,-9999 , 23.2, 1012.6, 0.060, 0.047, 12, 5.7, 4.6 +14-Sep-2020 23:00, 6.386,-9999 , 24.6, 1013.5, 0.088, 0.083, 14, 6.8, 4.3 +15-Sep-2020 00:00, 7.083,-9999 , 26.6, 1014.2, 0.082, 0.085, 357, 6.5, 3.8 +15-Sep-2020 01:00, 7.470,-9999 , 27.3, 1014.6, 0.069, 0.079, 331, 4.7, 2.0 +15-Sep-2020 02:00, 7.437,-9999 , 28.4, 1014.5, 0.105, 0.119, 131, 4.7, 2.7 +15-Sep-2020 03:00, 6.898,-9999 , 27.3, 1013.8, 0.131, 0.143, 248, 6.1, 4.3 +15-Sep-2020 04:00, 5.986,-9999 , 26.9, 1012.3, 0.085, 0.089, 255, 7.7, 6.7 +15-Sep-2020 05:00, 4.950,-9999 , 27.0, 1011.0, 0.093, 0.082, 284, 8.5, 6.9 +15-Sep-2020 06:00, 4.010,-9999 , 27.4, 1010.1, 0.169, 0.146, 281, 8.7, 7.0 +15-Sep-2020 07:00, 3.303,-9999 , 27.8, 1009.7, 0.168, 0.136, 291, 8.9, 7.0 +15-Sep-2020 08:00, 3.059,-9999 , 27.9, 1009.5, 0.118, 0.082, 288, 8.7, 6.8 +15-Sep-2020 09:00, 3.496,-9999 , 27.5, 1010.0, 0.080, 0.043, 294, 8.4, 4.9 +15-Sep-2020 10:00, 4.416,-9999 , 27.0, 1010.8, 0.060, 0.029, 247, 6.8, 3.8 +15-Sep-2020 11:00, 5.543,-9999 , 26.9, 1011.6, 0.067, 0.044, 232, 6.8, 5.1 +15-Sep-2020 12:00, 6.649,-9999 , 26.7, 1012.5, 0.051, 0.036, 225, 7.2, 6.0 +15-Sep-2020 13:00, 7.512,-9999 , 26.6, 1012.8, 0.043, 0.036, 214, 7.8, 5.5 +15-Sep-2020 14:00, 7.857,-9999 , 26.5, 1012.8, 0.078, 0.074, 208, 7.9, 5.2 +15-Sep-2020 15:00, 7.460,-9999 , 26.4, 1012.5, 0.091, 0.086, 204, 7.3, 5.6 +15-Sep-2020 16:00, 6.540,-9999 , 26.3, 1012.1, 0.050, 0.043, 193, 6.3, 4.1 +15-Sep-2020 17:00, 5.467,-9999 , 26.1, 1011.6, 0.058, 0.047, 190, 6.1, 4.4 +15-Sep-2020 18:00, 4.403,-9999 , 25.8, 1011.3, 0.100, 0.083, 179, 4.7, 2.9 +15-Sep-2020 19:00, 3.526,-9999 , 25.9, 1011.0, 0.090, 0.070, 185, 4.7, 3.3 +15-Sep-2020 20:00, 3.113,-9999 , 25.7, 1010.9, 0.070, 0.048, 163, 5.0, 2.7 +15-Sep-2020 21:00, 3.484,-9999 , 25.6, 1011.6, 0.063, 0.040, 130, 3.9, 1.6 +15-Sep-2020 22:00, 4.534,-9999 , 24.9, 1012.4, 0.082, 0.067, 85, 4.0, 1.7 +15-Sep-2020 23:00, 5.803,-9999 , 26.4, 1012.9, 0.095, 0.087, 163, 3.9, 2.7 +16-Sep-2020 00:00, 7.012,-9999 , 27.9, 1013.4, 0.057, 0.054, 145, 3.9, 1.6 +16-Sep-2020 01:00, 7.977,-9999 , 26.6, 1013.4, 0.021, 0.023, 358, 1.7, 0.7 +16-Sep-2020 02:00, 8.413,-9999 , 28.0, 1013.0, 0.042, 0.044, 266, 3.0, 2.5 +16-Sep-2020 03:00, 8.044,-9999 , 27.7, 1012.0, 0.088, 0.085, 279, 5.7, 4.7 +16-Sep-2020 04:00, 7.015,-9999 , 27.2, 1010.9, 0.097, 0.083, 264, 8.6, 6.7 +16-Sep-2020 05:00, 5.749, 27.4, 27.6, 1009.8, 0.124, 0.100, 268, 9.5, 8.1 +16-Sep-2020 06:00, 4.430, 27.5, 27.5, 1009.1, 0.199, 0.164, 269, 10.5, 7.7 +16-Sep-2020 07:00, 3.208, 27.7, 27.4, 1008.6, 0.226, 0.184, 284, 10.0, 8.4 +16-Sep-2020 08:00, 2.349, 27.8, 27.5, 1008.9, 0.177, 0.131, 280, 9.7, 6.7 +16-Sep-2020 09:00, 2.348, 27.8, 27.5, 1009.3, 0.116, 0.073, 273, 8.3, 5.6 +16-Sep-2020 10:00, 3.307, 27.6, 27.0, 1010.1, 0.076, 0.037, 285, 6.8, 4.1 +16-Sep-2020 11:00, 4.710, 27.5, 26.8, 1010.8, 0.055, 0.025, 294, 5.8, 3.9 +16-Sep-2020 12:00, 6.218, 27.5, 26.5, 1011.2, 0.028, 0.004, 303, 5.6, 3.1 +16-Sep-2020 13:00, 7.621, 27.5, 26.4, 1011.6,-0.009,-0.029, 301, 5.1, 3.8 +16-Sep-2020 14:00, 8.569, 27.4, 26.1, 1011.8, 0.024, 0.007, 312, 4.8, 3.0 +16-Sep-2020 15:00, 8.569, 27.4, 26.0, 1011.7, 0.079, 0.064, 306, 5.1, 3.7 +16-Sep-2020 16:00, 7.630, 27.4, 25.8, 1011.1, 0.088, 0.072, 308, 4.5, 2.4 +16-Sep-2020 17:00, 6.334, 27.4, 26.1, 1010.7, 0.119, 0.097, 290, 5.0, 4.0 +16-Sep-2020 18:00, 4.945, 27.4, 26.0, 1010.0, 0.164, 0.138, 290, 5.7, 3.7 +16-Sep-2020 19:00, 3.585, 27.5, 25.9, 1009.5, 0.171, 0.138, 289, 6.4, 3.9 +16-Sep-2020 20:00, 2.530, 27.4, 26.0, 1009.7, 0.167, 0.130, 290, 6.7, 4.7 +16-Sep-2020 21:00, 2.272, 27.5, 25.9, 1009.9, 0.148, 0.113, 295, 7.2, 5.8 +16-Sep-2020 22:00, 3.186, 27.5, 25.9, 1010.4, 0.138, 0.105, 313, 7.3, 4.6 +16-Sep-2020 23:00, 4.742, 27.4, 26.5, 1011.5, 0.128, 0.101, 303, 8.2, 6.5 +17-Sep-2020 00:00, 6.410, 27.4, 26.8, 1012.6, 0.119, 0.102, 302, 8.1, 6.6 +17-Sep-2020 01:00, 7.968, 27.4, 26.9, 1013.4, 0.099, 0.094, 285, 9.4, 6.4 +17-Sep-2020 02:00, 9.044, 27.4, 27.2, 1012.8, 0.075, 0.076, 300, 9.3, 7.2 +17-Sep-2020 03:00, 9.155, 27.4, 27.1, 1012.3, 0.073, 0.069, 309, 11.0, 7.8 +17-Sep-2020 04:00, 8.222, 27.5, 27.0, 1011.2, 0.091, 0.080, 313, 11.8, 8.8 +17-Sep-2020 05:00, 6.813, 27.6, 27.2, 1010.5, 0.157, 0.136, 300, 11.1, 7.5 +17-Sep-2020 06:00, 5.273, 27.7, 27.2, 1009.5, 0.228, 0.199, 314, 11.1, 8.7 +17-Sep-2020 07:00, 3.691, 27.8, 27.4, 1009.2, 0.253, 0.216, 293, 11.4, 8.2 +17-Sep-2020 08:00, 2.308, 27.9, 27.3, 1009.0, 0.265, 0.224, 286, 10.0, 7.8 +17-Sep-2020 09:00, 1.547, 28.1, 27.1, 1009.5, 0.203, 0.161, 283, 9.1, 7.2 +17-Sep-2020 10:00, 2.045, 28.0, 26.7, 1009.9, 0.094, 0.057, 287, 8.6, 6.1 +17-Sep-2020 11:00, 3.536, 27.8, 26.5, 1010.4, 0.013,-0.019, 290, 7.6, 4.5 +17-Sep-2020 12:00, 5.330, 27.7, 26.4, 1011.1,-0.027,-0.055, 288, 6.0, 4.3 +17-Sep-2020 13:00, 7.207, 27.6, 26.3, 1011.3,-0.016,-0.037, 297, 5.5, 4.4 +17-Sep-2020 14:00, 8.811, 27.5, 26.1, 1011.0, 0.025, 0.005, 310, 6.6, 5.1 +17-Sep-2020 15:00, 9.486, 27.5, 26.2, 1010.6, 0.081, 0.059, 313, 9.2, 6.7 +17-Sep-2020 16:00, 8.872, 27.5, 26.1, 1010.2, 0.125, 0.098, 311, 9.0, 6.7 +17-Sep-2020 17:00, 7.459, 27.5, 26.4, 1010.8, 0.163, 0.134, 212, 7.1, 4.1 +17-Sep-2020 18:00, 5.847, 27.6, 25.9, 1010.9, 0.205, 0.181, 162, 9.3, 5.1 +17-Sep-2020 19:00, 4.124, 27.5, 25.7, 1011.0, 0.164, 0.141, 151, 8.6, 6.2 +17-Sep-2020 20:00, 2.547, 27.6, 25.8, 1010.9, 0.153, 0.130, 146, 7.3, 2.6 +17-Sep-2020 21:00, 1.455, 27.5, 25.6, 1011.6, 0.122, 0.099, 106, 5.0, 2.7 +17-Sep-2020 22:00, 1.639, 27.6, 24.9, 1012.3, 0.057, 0.041, 114, 4.4, 2.2 +17-Sep-2020 23:00, 3.138, 27.6, 25.4, 1013.0,-0.001,-0.010, 120, 9.4, 4.7 +18-Sep-2020 00:00, 5.033, 27.5, 25.1, 1013.6,-0.096,-0.098, 80, 9.8, 7.4 +18-Sep-2020 01:00, 7.046, 27.4, 26.8, 1013.4,-0.079,-0.075, 76, 9.8, 7.2 +18-Sep-2020 02:00, 8.863, 27.4, 29.2, 1013.0,-0.001, 0.000, 72, 9.4, 4.9 +18-Sep-2020 03:00, 9.766, 27.4, 30.6, 1012.1, 0.015, 0.012, 84, 5.7, 3.6 +18-Sep-2020 04:00, 9.343, 27.5, 32.0, 1011.0, 0.045, 0.033, 118, 4.4, 1.1 +18-Sep-2020 05:00, 8.006, 27.6, 28.7, 1010.2, 0.162, 0.139, 258, 6.8, 4.9 +18-Sep-2020 06:00, 6.340, 27.7, 27.8, 1009.6, 0.253, 0.222, 254, 8.0, 6.0 +18-Sep-2020 07:00, 4.520, 27.7, 27.2, 1009.3, 0.228, 0.191, 283, 8.3, 6.7 +18-Sep-2020 08:00, 2.742, 27.9, 27.3, 1009.2, 0.179, 0.140, 285, 8.2, 6.4 +18-Sep-2020 09:00, 1.300, 28.0, 27.3, 1009.5, 0.125, 0.085, 278, 7.8, 6.0 +18-Sep-2020 10:00, 0.967, 28.1, 26.6, 1010.0, 0.036, 0.000, 273, 7.3, 5.5 +18-Sep-2020 11:00, 2.215, 27.9, 26.5, 1010.5,-0.013,-0.044, 259, 7.6, 5.8 +18-Sep-2020 12:00, 4.171, 27.7, 26.4, 1011.0,-0.071,-0.098, 265, 7.8, 5.9 +18-Sep-2020 13:00, 6.305, 27.7, 26.4, 1011.3,-0.065,-0.088, 258, 7.6, 6.0 +18-Sep-2020 14:00, 8.394, 27.6, 26.3, 1011.7,-0.013,-0.032, 262, 7.7, 4.4 +18-Sep-2020 15:00, 9.776, 27.5, 26.1, 1011.6, 0.000,-0.015, 262, 5.6, 3.5 +18-Sep-2020 16:00, 9.818, 27.5, 26.0, 1011.2, 0.038, 0.021, 272, 5.0, 3.5 +18-Sep-2020 17:00, 8.606, 27.6, 25.9, 1010.6, 0.093, 0.073, 273, 5.3, 3.4 +18-Sep-2020 18:00, 6.912, 27.6, 25.8, 1010.0, 0.171, 0.144, 278, 4.7, 3.3 +18-Sep-2020 19:00, 5.072, 27.6, 25.7, 1010.0, 0.194, 0.162, 264, 4.6, 3.3 +18-Sep-2020 20:00, 3.170, 27.6, 25.6, 1010.0, 0.147, 0.114, 273, 4.3, 2.7 +18-Sep-2020 21:00, 1.519, 27.6, 25.5, 1010.7, 0.149, 0.117, 237, 3.6, 2.6 +18-Sep-2020 22:00, 0.743, 27.5, 25.3, 1011.3, 0.101, 0.075, 168, 4.8, 3.8 +18-Sep-2020 23:00, 1.655, 27.6, 25.2, 1012.5, 0.048, 0.030, 146, 5.3, 2.8 +19-Sep-2020 00:00, 3.621, 27.5, 24.8, 1013.1,-0.036,-0.043, 72, 4.5, 3.6 +19-Sep-2020 01:00, 5.820, 27.5, 27.4, 1013.1,-0.078,-0.079, 105, 4.5, 1.7 +19-Sep-2020 02:00, 8.051, 27.5, 28.7, 1012.8,-0.009,-0.011, 132, 3.2, 1.9 +19-Sep-2020 03:00, 9.690, 27.5, 27.8, 1012.4, 0.001,-0.003, 193, 3.4, 2.1 +19-Sep-2020 04:00,10.006, 27.5, 26.0, 1011.6,-0.032,-0.042, 261, 6.3, 4.6 +19-Sep-2020 05:00, 8.984, 27.6, 26.5, 1011.0, 0.012,-0.004, 256, 7.4, 6.1 +19-Sep-2020 06:00, 7.317, 27.7, 26.7, 1010.0, 0.099, 0.076, 267, 7.7, 5.9 +19-Sep-2020 07:00, 5.493, 27.8, 26.8, 1009.7, 0.156, 0.124, 269, 7.6, 5.2 +19-Sep-2020 08:00, 3.597, 27.9, 26.8, 1009.6, 0.144, 0.108, 262, 7.4, 5.5 +19-Sep-2020 09:00, 1.859, 28.1, 26.8, 1009.9, 0.144, 0.108, 262, 8.1, 6.3 +19-Sep-2020 10:00, 0.713, 28.3, 26.4, 1010.2, 0.078, 0.044, 262, 7.8, 5.5 +19-Sep-2020 11:00, 1.146, 28.1, 26.3, 1011.0, 0.008,-0.022, 270, 7.4, 5.4 +19-Sep-2020 12:00, 2.950, 27.9, 26.3, 1011.4,-0.064,-0.086, 258, 7.1, 4.6 +19-Sep-2020 13:00, 5.144, 27.7, 26.2, 1011.7,-0.120,-0.138, 257, 6.5, 5.1 +19-Sep-2020 14:00, 7.459, 27.6, 26.2, 1012.1,-0.074,-0.088, 245, 6.2, 3.9 +19-Sep-2020 15:00, 9.467, 27.6, 26.0, 1011.9,-0.008,-0.020, 241, 5.5, 3.4 +19-Sep-2020 16:00,10.279, 27.6, 25.9, 1011.3,-0.018,-0.032, 234, 5.3, 3.9 +19-Sep-2020 17:00, 9.592, 27.6, 25.8, 1010.8, 0.016,-0.004, 242, 5.1, 2.7 +19-Sep-2020 18:00, 7.994, 27.6, 25.8, 1010.4, 0.085, 0.061, 234, 4.6, 3.4 +19-Sep-2020 19:00, 6.159, 27.6, 25.8, 1010.1, 0.162, 0.133, 231, 4.8, 3.3 +19-Sep-2020 20:00, 4.184, 27.6, 25.7, 1010.1, 0.176, 0.144, 234, 4.7, 2.8 +19-Sep-2020 21:00, 2.265, 27.6, 25.7, 1010.4, 0.190, 0.159, 217, 4.4, 3.8 +19-Sep-2020 22:00, 0.780, 27.6, 25.5, 1011.1, 0.173, 0.145, 172, 4.6, 3.2 +19-Sep-2020 23:00, 0.667, 27.6, 24.9, 1011.8, 0.099, 0.078, 163, 5.0, 4.3 +20-Sep-2020 00:00, 2.197, 27.6, 26.0, 1012.2, 0.003,-0.011, 175, 4.9, 3.0 +20-Sep-2020 01:00, 4.361, 27.6, 26.1, 1012.4,-0.100,-0.110, 196, 4.5, 3.5 +20-Sep-2020 02:00, 6.682, 27.6, 27.5, 1012.2,-0.095,-0.103, 224, 5.0, 3.5 +20-Sep-2020 03:00, 8.871, 27.6, 27.0, 1011.4,-0.010,-0.021, 255, 6.7, 5.2 +20-Sep-2020 04:00,10.069, 27.6, 27.4, 1010.5,-0.001,-0.020, 248, 8.1, 6.5 +20-Sep-2020 05:00, 9.740, 27.6, 27.8, 1009.6, 0.013,-0.015, 254, 8.0, 6.4 +20-Sep-2020 06:00, 8.312, 27.7, 27.3, 1009.0, 0.074, 0.038, 262, 8.6, 7.2 +20-Sep-2020 07:00, 6.546, 27.8, 27.2, 1008.7, 0.139, 0.096, 259, 9.6, 8.0 +20-Sep-2020 08:00, 4.663, 27.9, 27.3, 1009.0, 0.157, 0.112, 274, 9.0, 6.3 +20-Sep-2020 09:00, 2.813, 28.1, 27.1, 1009.3, 0.168, 0.126, 270, 8.5, 6.4 +20-Sep-2020 10:00, 1.253, 28.4, 26.7, 1009.7, 0.139, 0.100, 267, 8.2, 5.7 +20-Sep-2020 11:00, 0.750, 28.3, 26.6, 1010.1, 0.051, 0.016, 275, 6.8, 5.0 +20-Sep-2020 12:00, 1.963, 28.0, 26.4, 1010.8,-0.006,-0.036, 278, 6.7, 5.3 +20-Sep-2020 13:00, 4.052, 27.8, 26.5, 1011.1,-0.068,-0.092, 284, 7.2, 5.4 +20-Sep-2020 14:00, 6.331, 27.8, 26.6, 1011.0,-0.066,-0.087, 280, 7.5, 6.0 +20-Sep-2020 15:00, 8.590, 27.7, 26.7, 1010.5,-0.002,-0.025, 276, 7.8, 5.3 +20-Sep-2020 16:00,10.089, 27.7, 26.8, 1010.4,-0.023,-0.050, 270, 7.0, 5.2 +20-Sep-2020 17:00,10.152, 27.7, 26.5, 1010.2,-0.028,-0.056, 237, 7.8, 5.9 +20-Sep-2020 18:00, 8.933, 27.7, 26.5, 1009.7, 0.036, 0.005, 228, 8.3, 6.2 +20-Sep-2020 19:00, 7.174, 27.7, 26.8, 1009.7, 0.077, 0.042, 209, 9.5, 8.4 +20-Sep-2020 20:00, 5.295, 27.6, 27.3, 1009.9, 0.137, 0.102, 210, 10.3, 8.2 +20-Sep-2020 21:00, 3.340, 27.6, 26.9, 1010.5, 0.192, 0.159, 206, 11.9, 9.0 +20-Sep-2020 22:00, 1.558, 27.6, 26.2, 1011.2, 0.214, 0.188, 198, 11.2, 10.1 +20-Sep-2020 23:00, 0.518, 27.5, 25.4, 1012.1, 0.097, 0.077, 174, 12.4, 5.5 +21-Sep-2020 00:00, 1.154, 27.6, 26.5, 1012.5,-0.030,-0.041, 132, 10.7, 5.9 +21-Sep-2020 01:00, 3.023, 27.6, 28.8, 1012.5,-0.127,-0.134, 122, 7.9, 4.5 +21-Sep-2020 02:00, 5.199, 27.5, 30.6, 1012.1,-0.167,-0.175, 129, 6.7, 3.9 +21-Sep-2020 03:00, 7.423, 27.6, 30.8, 1011.3,-0.140,-0.153, 160, 5.6, 3.0 +21-Sep-2020 04:00, 9.191, 27.6, 31.8, 1010.5,-0.132,-0.152, 162, 5.1, 3.6 +21-Sep-2020 05:00, 9.711, 27.7, 31.4, 1009.6,-0.135,-0.163, 193, 4.1, 3.4 +21-Sep-2020 06:00, 8.833, 27.8, 32.1, 1008.7,-0.088,-0.125, 198, 3.7, 2.9 +21-Sep-2020 07:00, 7.263, 27.9, 32.4, 1008.3,-0.035,-0.081, 220, 5.1, 3.8 +21-Sep-2020 08:00, 5.584, 27.9, 30.6, 1008.2, 0.043,-0.006, 223, 6.7, 5.4 +21-Sep-2020 09:00, 3.805, 28.0, 29.7, 1008.4, 0.080, 0.030, 229, 7.7, 5.4 +21-Sep-2020 10:00, 2.159, 28.1, 28.9, 1008.9, 0.096, 0.048, 231, 6.9, 5.5 +21-Sep-2020 11:00, 1.096, 28.1, 28.3, 1009.6, 0.051, 0.009, 216, 6.9, 5.0 +21-Sep-2020 12:00, 1.433, 28.1, 28.7, 1010.1,-0.021,-0.057, 181, 6.8, 4.4 +21-Sep-2020 13:00, 3.129, 27.8, 29.3, 1010.4,-0.062,-0.092, 145, 9.1, 6.9 +21-Sep-2020 14:00, 5.228, 27.8, 28.6, 1010.4,-0.069,-0.097, 138, 10.1, 8.0 +21-Sep-2020 15:00, 7.362, 27.7, 28.1, 1010.3,-0.044,-0.072, 137, 11.7, 9.4 +21-Sep-2020 16:00, 9.170, 27.6, 27.8, 1010.0,-0.079,-0.109, 129, 11.6, 8.8 +21-Sep-2020 17:00, 9.980, 27.6, 27.4, 1009.9,-0.116,-0.148, 126, 10.4, 7.2 +21-Sep-2020 18:00, 9.431, 27.6, 27.1, 1009.7,-0.047,-0.081, 131, 9.0, 6.6 +21-Sep-2020 19:00, 7.957, 27.5, 26.8, 1009.7, 0.003,-0.032, 126, 8.5, 6.5 +21-Sep-2020 20:00, 6.244, 27.5, 26.6, 1009.8, 0.032,-0.003, 128, 10.1, 7.1 +21-Sep-2020 21:00, 4.413, 27.4, 26.3, 1010.7, 0.065, 0.031, 117, 10.8, 4.7 +21-Sep-2020 22:00, 2.618, 27.3, 25.5, 1011.9, 0.113, 0.089, 98, 8.8, 6.9 +21-Sep-2020 23:00, 1.182, 27.1, 25.9, 1012.3, 0.060, 0.048, 118, 8.7, 5.2 +22-Sep-2020 00:00, 0.906, 26.8, 25.9, 1012.7,-0.061,-0.069, 105, 9.0, 6.2 +22-Sep-2020 01:00, 2.199, 27.3, 28.6, 1012.7,-0.082,-0.087, 111, 8.0, 6.2 +22-Sep-2020 02:00, 4.121, 27.3, 30.5, 1012.3,-0.079,-0.084, 129, 8.5, 4.4 +22-Sep-2020 03:00, 6.097, 27.3, 30.6, 1011.2,-0.071,-0.082, 133, 6.9, 3.7 +22-Sep-2020 04:00, 7.963, 27.4, 31.8, 1010.3,-0.059,-0.081, 109, 6.4, 4.5 +22-Sep-2020 05:00, 9.122, 27.5, 32.9, 1009.6,-0.077,-0.107, 143, 4.9, 2.7 +22-Sep-2020 06:00, 9.017, 27.5, 32.7, 1009.1,-0.053,-0.089, 153, 4.5, 3.4 +22-Sep-2020 07:00, 7.847, 27.7, 33.1, 1008.9,-0.021,-0.062, 163, 5.9, 4.7 +22-Sep-2020 08:00, 6.356, 27.7, 31.8, 1009.2, 0.012,-0.031, 159, 9.8, 4.9 +22-Sep-2020 09:00, 4.806, 27.7, 31.4, 1009.5, 0.052, 0.012, 148, 11.2, 9.0 +22-Sep-2020 10:00, 3.243, 27.8, 30.1, 1010.0, 0.056, 0.020, 142, 10.2, 7.2 +22-Sep-2020 11:00, 1.995, 27.8, 29.3, 1010.8, 0.036, 0.005, 154, 10.2, 7.8 +22-Sep-2020 12:00, 1.605, 27.7, 29.0, 1011.6,-0.046,-0.070, 155, 9.8, 6.0 +22-Sep-2020 13:00, 2.630, 27.6, 28.9, 1012.1,-0.058,-0.074, 154, 8.6, 6.2 +22-Sep-2020 14:00, 4.402, 27.6, 28.6, 1011.8,-0.055,-0.067, 137, 7.8, 2.6 +22-Sep-2020 15:00, 6.286, 27.5, 28.4, 1011.7,-0.003,-0.017, 146, 5.2, 3.8 +22-Sep-2020 16:00, 8.059, 27.5, 28.0, 1011.2, 0.032, 0.016, 142, 4.2, 2.4 +22-Sep-2020 17:00, 9.288, 27.4, 28.0, 1011.1, 0.004,-0.016, 158, 4.9, 3.6 +22-Sep-2020 18:00, 9.445, 27.5, 27.8, 1011.2, 0.009,-0.012, 101, 3.9, 3.4 +22-Sep-2020 19:00, 8.448, 27.5, 27.5, 1011.5, 0.009,-0.012, 82, 4.0, 3.1 +22-Sep-2020 20:00, 6.961, 27.4, 27.1, 1011.9,-0.009,-0.026, 106, 4.3, 3.2 +22-Sep-2020 21:00, 5.387, 27.4, 27.2, 1012.3,-0.011,-0.024, 94, 5.6, 4.7 +22-Sep-2020 22:00, 3.778, 27.4, 26.9, 1012.9, 0.014, 0.005, 103, 7.9, 6.9 +22-Sep-2020 23:00, 2.370, 27.3, 26.3, 1013.6, 0.046, 0.043, 97, 9.0, 6.7 +23-Sep-2020 00:00, 1.573, 27.2, 26.8, 1014.0,-0.006,-0.002, 88, 8.4, 5.6 +23-Sep-2020 01:00, 2.051, 27.2, 30.0, 1013.5,-0.020,-0.013, 96, 10.3, 8.0 +23-Sep-2020 02:00, 3.493, 27.3, 31.1, 1012.8, 0.010, 0.012, 88, 10.6, 5.0 +23-Sep-2020 03:00, 5.117, 27.3, 31.9, 1012.0, 0.036, 0.031, 89, 6.7, 4.5 +23-Sep-2020 04:00, 6.673, 27.4, 33.9, 1011.0, 0.021, 0.008, 119, 5.0, 2.4 +23-Sep-2020 05:00, 7.953, 27.4, 33.8, 1010.1,-0.022,-0.045, 0, 2.1, 0.0 +23-Sep-2020 06:00, 8.505, 27.4, 34.7, 1009.4,-0.018,-0.050, 225, 5.6, 3.6 +23-Sep-2020 07:00, 7.976, 27.5, 34.3, 1009.1,-0.017,-0.056, 225, 5.9, 5.2 +23-Sep-2020 08:00, 6.844, 27.6, 32.0, 1008.8, 0.012,-0.030, 228, 7.9, 5.6 +23-Sep-2020 09:00, 5.596, 27.7, 30.4, 1009.1, 0.054, 0.011, 227, 8.1, 6.3 +23-Sep-2020 10:00, 4.303, 27.7, 29.3, 1009.3, 0.064, 0.022, 222, 7.7, 5.8 +23-Sep-2020 11:00, 3.181, 27.7, 28.9, 1010.3, 0.079, 0.040, 214, 7.6, 4.1 +23-Sep-2020 12:00, 2.508, 27.8, 28.8, 1011.2, 0.047, 0.018, 316, 6.1, 2.5 +23-Sep-2020 13:00, 2.809, 27.8, 27.5, 1011.6, 0.036, 0.017, 319, 6.3, 5.0 +23-Sep-2020 14:00, 4.025, 27.6, 27.2, 1011.8, 0.039, 0.022, 309, 6.5, 3.8 +23-Sep-2020 15:00, 5.506, 27.5, 26.5, 1011.9, 0.052, 0.038, 294, 5.5, 3.1 +23-Sep-2020 16:00, 6.934, 27.5, 26.6, 1011.5, 0.067, 0.053, 304, 3.9, 2.2 +23-Sep-2020 17:00, 8.114, 27.4, 26.3, 1010.9, 0.044, 0.025, 282, 3.0, 1.7 +23-Sep-2020 18:00, 8.757, 27.4, 26.2, 1010.4, 0.068, 0.044, 228, 2.0, 0.5 +23-Sep-2020 19:00, 8.440, 27.4, 27.1, 1010.0, 0.055, 0.027, 116, 2.7, 1.9 +23-Sep-2020 20:00, 7.382, 27.4, 27.7, 1010.1, 0.011,-0.022, 111, 6.3, 4.6 +23-Sep-2020 21:00, 6.180, 27.4, 26.8, 1010.8, 0.043, 0.012, 100, 6.8, 4.1 +23-Sep-2020 22:00, 4.909, 27.3, 27.0, 1011.7, 0.063, 0.039, 110, 5.9, 4.4 +23-Sep-2020 23:00, 3.683, 27.4, 27.3, 1012.4, 0.057, 0.042, 60, 4.9, 2.7 +24-Sep-2020 00:00, 2.749, 27.3, 28.5, 1012.9, 0.010, 0.003, 79, 6.1, 3.0 +24-Sep-2020 01:00, 2.580, 27.3, 29.5, 1012.4,-0.005,-0.009, 99, 6.2, 4.7 +24-Sep-2020 02:00, 3.366, 27.3, 30.0, 1012.1, 0.056, 0.047, 157, 5.5, 2.9 +24-Sep-2020 03:00, 4.544, 27.3, 30.1, 1011.3, 0.113, 0.101, 188, 4.7, 4.2 +24-Sep-2020 04:00, 5.686, 27.4, 32.5, 1010.4, 0.099, 0.079, 218, 4.9, 3.1 +24-Sep-2020 05:00, 6.735, 27.4, 31.6, 1009.9, 0.070, 0.041, 238, 4.7, 3.4 +24-Sep-2020 06:00, 7.482, 27.4, 31.9, 1009.4, 0.064, 0.030, 259, 5.7, 5.0 +24-Sep-2020 07:00, 7.562, 27.4, 29.8, 1009.2, 0.038,-0.001, 263, 7.5, 5.5 +24-Sep-2020 08:00, 6.946, 27.5, 29.5, 1009.4, 0.005,-0.035, 251, 8.2, 6.5 +24-Sep-2020 09:00, 6.063, 27.6, 28.9, 1009.5, 0.028,-0.009, 264, 7.9, 5.7 +24-Sep-2020 10:00, 5.109, 27.7, 28.9, 1009.5, 0.040, 0.002, 251, 7.5, 5.1 +24-Sep-2020 11:00, 4.220, 27.7, 28.2, 1010.3, 0.033,-0.004, 247, 8.0, 4.3 +24-Sep-2020 12:00, 3.596, 27.7, 27.8, 1010.9, 0.030, 0.001, 215, 6.7, 3.3 +24-Sep-2020 13:00, 3.487, 27.7, 27.8, 1011.4, 0.048, 0.026, 213, 4.9, 3.8 +24-Sep-2020 14:00, 4.057, 27.6, 27.7, 1011.0, 0.063, 0.045, 209, 4.5, 3.5 +24-Sep-2020 15:00, 5.022, 27.5, 27.8, 1010.8, 0.067, 0.045, 195, 6.8, 5.0 +24-Sep-2020 16:00, 6.031, 27.5, 27.9, 1010.2, 0.064, 0.039, 190, 6.5, 5.6 +24-Sep-2020 17:00, 6.937, 27.5, 27.7, 1009.8, 0.049, 0.019, 193, 7.3, 4.9 +24-Sep-2020 18:00, 7.601, 27.4, 27.6, 1009.4, 0.070, 0.035, 193, 6.3, 4.9 +24-Sep-2020 19:00, 7.792, 27.4, 27.4, 1009.1, 0.092, 0.053, 195, 5.8, 4.9 +24-Sep-2020 20:00, 7.355, 27.4, 27.5, 1009.3, 0.054, 0.013, 189, 8.8, 7.5 +24-Sep-2020 21:00, 6.508, 27.4, 27.1, 1009.9,-0.028,-0.066, 187, 9.1, 6.2 +24-Sep-2020 22:00, 5.604, 27.3, 26.8, 1010.6,-0.036,-0.068, 199, 7.5, 4.6 +24-Sep-2020 23:00, 4.751, 27.2, 27.6, 1011.0,-0.002,-0.028, 168, 4.9, 2.3 +25-Sep-2020 00:00, 4.052, 27.2, 29.2, 1011.4, 0.025, 0.003, 144, 3.2, 2.0 +25-Sep-2020 01:00, 3.676, 27.2, 29.4, 1011.6, 0.050, 0.033, 128, 2.7, 1.1 +25-Sep-2020 02:00, 3.798, 27.2, 31.0, 1010.9, 0.063, 0.047, 98, 1.9, 0.5 +25-Sep-2020 03:00, 4.321, 27.3, 32.7, 1010.0, 0.069, 0.044, 113, 2.4, 0.8 +25-Sep-2020 04:00, 5.013, 27.4, 29.9, 1009.2, 0.103, 0.070, 283, 6.3, 5.6 +25-Sep-2020 05:00, 5.669, 27.4, 29.3, 1008.3, 0.067, 0.026, 267, 8.4, 6.5 +25-Sep-2020 06:00, 6.275, 27.4, 28.8, 1007.8, 0.078, 0.029, 253, 9.9, 8.0 +25-Sep-2020 07:00, 6.670, 27.4, 28.9, 1007.4, 0.117, 0.062, 260, 9.9, 7.4 +25-Sep-2020 08:00, 6.634, 27.5, 28.9, 1007.4, 0.092, 0.034, 256, 9.7, 6.7 +25-Sep-2020 09:00, 6.203, 27.5, 28.6, 1007.7, 0.022,-0.035, 261, 9.1, 6.0 +25-Sep-2020 10:00, 5.656, 27.5, 28.3, 1008.0, 0.015,-0.040, 240, 7.3, 3.9 +25-Sep-2020 11:00, 5.111, 27.5, 28.2, 1008.6, 0.024,-0.027, 245, 6.9, 4.6 +25-Sep-2020 12:00, 4.669, 27.5, 28.4, 1008.9, 0.007,-0.039, 236, 7.3, 5.9 +25-Sep-2020 13:00, 4.486, 27.5, 27.8, 1009.5, 0.049, 0.007, 217, 6.3, 3.5 +25-Sep-2020 14:00, 4.609, 27.5, 27.5, 1009.8, 0.097, 0.060, 337, 4.1, 1.0 +25-Sep-2020 15:00, 4.970, 27.5, 26.4, 1009.8, 0.091, 0.057, 327, 2.9, 1.6 +25-Sep-2020 16:00, 5.455, 27.5, 25.9, 1009.2, 0.082, 0.047, 316, 4.3, 2.2 +25-Sep-2020 17:00, 5.975, 27.4, 24.8, 1009.1, 0.070, 0.030, 341, 4.1, 2.0 +25-Sep-2020 18:00, 6.396, 27.4, 25.3, 1008.6, 0.043, 0.000, 299, 2.8, 1.6 +25-Sep-2020 19:00, 6.644, 27.4, 26.4, 1008.7, 0.018,-0.028, 156, 3.9, 3.3 +25-Sep-2020 20:00, 6.717, 27.4, 26.0, 1009.0, 0.030,-0.015, 174, 6.5, 4.1 +25-Sep-2020 21:00, 6.504, 27.4, 25.3, 1009.7, 0.006,-0.036, 167, 6.2, 4.6 +25-Sep-2020 22:00, 6.086, 27.3, 25.1, 1010.6,-0.028,-0.063, 178, 5.7, 3.3 +25-Sep-2020 23:00, 5.662, 27.3, 25.9, 1011.1, 0.029, 0.003, 169, 5.2, 3.7 +26-Sep-2020 00:00, 5.257, 27.3, 26.5, 1011.8, 0.072, 0.051, 184, 4.9, 2.6 +26-Sep-2020 01:00, 4.896, 27.3, 28.2, 1012.1, 0.066, 0.052, 156, 4.8, 1.8 +26-Sep-2020 02:00, 4.678, 27.3, 28.7, 1011.3, 0.058, 0.046, 266, 2.9, 1.5 +26-Sep-2020 03:00, 4.606, 27.3, 28.2, 1010.4, 0.024, 0.004, 259, 5.3, 4.5 +26-Sep-2020 04:00, 4.666, 27.4, 27.8, 1009.5, 0.007,-0.022, 269, 8.4, 6.9 +26-Sep-2020 05:00, 4.830, 27.4, 28.2, 1008.5,-0.027,-0.065, 264, 8.4, 7.0 +26-Sep-2020 06:00, 5.109, 27.4, 28.1, 1007.7,-0.030,-0.078, 265, 10.1, 8.2 +26-Sep-2020 07:00, 5.491, 27.4, 27.8, 1007.3, 0.062, 0.007, 262, 11.0, 9.1 +26-Sep-2020 08:00, 5.823, 27.4, 27.8, 1007.2, 0.123, 0.063, 256, 10.5, 7.3 +26-Sep-2020 09:00, 5.993, 27.4, 27.4, 1007.5, 0.126, 0.066, 249, 10.2, 8.2 +26-Sep-2020 10:00, 5.964, 27.4, 27.1, 1007.9, 0.090, 0.033, 248, 10.2, 7.8 +26-Sep-2020 11:00, 5.798, 27.4, 27.2, 1008.8, 0.037,-0.015, 256, 8.7, 6.5 +26-Sep-2020 12:00, 5.611, 27.5, 27.2, 1009.5,-0.014,-0.058, 255, 8.7, 5.9 +26-Sep-2020 13:00, 5.501, 27.4, 27.4, 1009.9, 0.005,-0.031, 250, 7.6, 4.7 +26-Sep-2020 14:00, 5.432, 27.5, 27.0, 1010.3, 0.064, 0.032, 251, 7.6, 4.8 +26-Sep-2020 15:00, 5.312, 27.4, 26.8, 1010.2, 0.043, 0.014, 243, 6.0, 4.1 +26-Sep-2020 16:00, 5.207, 27.4, 26.6, 1009.8, 0.008,-0.023, 238, 6.2, 3.4 +26-Sep-2020 17:00, 5.196, 27.4, 26.6, 1009.4,-0.018,-0.052, 233, 5.1, 3.2 +26-Sep-2020 18:00, 5.301, 27.4, 26.6, 1009.0,-0.019,-0.058, 232, 5.0, 3.9 +26-Sep-2020 19:00, 5.497, 27.4, 26.6, 1008.9, 0.022,-0.021, 226, 6.1, 5.0 +26-Sep-2020 20:00, 5.718, 27.5, 26.4, 1009.1, 0.013,-0.030, 217, 6.7, 5.4 +26-Sep-2020 21:00, 5.993, 27.5, 26.3, 1009.9, 0.024,-0.017, 214, 6.7, 5.3 +26-Sep-2020 22:00, 6.231, 27.4, 25.8, 1010.8, 0.077, 0.044, 148, 6.6, 1.8 +26-Sep-2020 23:00, 6.291, 27.4, 27.2, 1011.8, 0.090, 0.066, 151, 2.7, 1.6 +27-Sep-2020 00:00, 6.190, 27.4, 27.9, 1012.3, 0.051, 0.037, 166, 2.1, 1.2 +27-Sep-2020 01:00, 5.996, 27.5, 28.0, 1012.4, 0.019, 0.010, 173, 2.0, 1.3 +27-Sep-2020 02:00, 5.734, 27.5, 26.6, 1012.3, 0.039, 0.031, 259, 4.2, 2.3 +27-Sep-2020 03:00, 5.338, 27.5, 26.6, 1011.8, 0.017, 0.008, 255, 5.7, 4.0 +27-Sep-2020 04:00, 4.850, 27.6, 26.8, 1011.3,-0.036,-0.051, 271, 7.3, 5.2 +27-Sep-2020 05:00, 4.406, 27.6, 26.6, 1010.6,-0.112,-0.132, 260, 7.9, 6.6 +27-Sep-2020 06:00, 4.225, 27.6, 26.7, 1009.9,-0.112,-0.139, 277, 8.2, 6.0 +27-Sep-2020 07:00, 4.339, 27.5, 26.9, 1009.5,-0.040,-0.074, 269, 8.6, 7.1 +27-Sep-2020 08:00, 4.676, 27.6, 27.0, 1009.2, 0.005,-0.032, 265, 8.6, 6.8 +27-Sep-2020 09:00, 5.183, 27.6, 27.0, 1009.3, 0.035,-0.005, 259, 9.0, 6.9 +27-Sep-2020 10:00, 5.741, 27.5, 26.6, 1009.7, 0.085, 0.046, 261, 8.4, 6.5 +27-Sep-2020 11:00, 6.196, 27.5, 26.5, 1010.5, 0.115, 0.080, 272, 7.8, 6.0 +27-Sep-2020 12:00, 6.431, 27.5, 26.5, 1011.3, 0.050, 0.023, 288, 6.9, 4.8 +27-Sep-2020 13:00, 6.461, 27.6, 26.3, 1012.1,-0.030,-0.048, 304, 5.2, 3.7 +27-Sep-2020 14:00, 6.292, 27.6, 26.1, 1012.1,-0.052,-0.063, 302, 4.4, 3.3 +27-Sep-2020 15:00, 5.909, 27.6, 26.3, 1011.5,-0.077,-0.089, 280, 5.4, 4.1 +27-Sep-2020 16:00, 5.401, 27.6, 26.3, 1010.8,-0.083,-0.101, 268, 6.2, 4.8 +27-Sep-2020 17:00, 4.928, 27.5, 26.4, 1010.1,-0.038,-0.063, 271, 5.9, 4.5 +27-Sep-2020 18:00, 4.611, 27.5, 26.4, 1009.8, 0.034, 0.002, 260, 6.1, 4.6 +27-Sep-2020 19:00, 4.490,-9999 , 26.2, 1009.6, 0.075, 0.041, 248, 6.9, 5.4 +27-Sep-2020 20:00, 4.660,-9999 , 26.0, 1009.8, 0.067, 0.031, 245, 7.7, 4.7 +27-Sep-2020 21:00, 5.179,-9999 , 25.8, 1010.5, 0.095, 0.062, 238, 8.7, 6.4 +27-Sep-2020 22:00, 5.834,-9999 , 26.0, 1011.2, 0.116, 0.090, 232, 9.8, 7.6 +27-Sep-2020 23:00, 6.383,-9999 , 26.4, 1012.3, 0.066, 0.046, 231, 9.2, 5.4 +28-Sep-2020 00:00, 6.811,-9999 , 26.6, 1013.5, 0.035, 0.027, 245, 5.9, 2.6 +28-Sep-2020 01:00, 7.035,-9999 , 26.7, 1013.9, 0.066, 0.069, 259, 4.9, 3.1 +28-Sep-2020 02:00, 6.800,-9999 , 26.3, 1013.4, 0.021, 0.027, 256, 5.6, 4.1 +28-Sep-2020 03:00, 6.204,-9999 , 26.5, 1012.8,-0.051,-0.050, 264, 6.2, 3.8 +28-Sep-2020 04:00, 5.462,-9999 , 26.3, 1011.7,-0.037,-0.042, 276, 6.3, 3.4 +28-Sep-2020 05:00, 4.646,-9999 , 26.5, 1010.9,-0.015,-0.031, 255, 6.8, 5.1 +28-Sep-2020 06:00, 3.964,-9999 , 26.6, 1010.3, 0.015,-0.009, 278, 7.6, 5.8 +28-Sep-2020 07:00, 3.568,-9999 , 26.4, 1010.1, 0.027,-0.003, 266, 8.2, 6.7 +28-Sep-2020 08:00, 3.640,-9999 , 26.6, 1010.0, 0.004,-0.027, 272, 8.8, 5.6 +28-Sep-2020 09:00, 4.230,-9999 , 26.4, 1010.1, 0.017,-0.015, 285, 7.6, 5.0 +28-Sep-2020 10:00, 5.083,-9999 , 25.9, 1010.7, 0.036, 0.005, 277, 6.9, 5.2 +28-Sep-2020 11:00, 5.985,-9999 , 26.0, 1011.4, 0.047, 0.022, 268, 7.2, 5.9 +28-Sep-2020 12:00, 6.771,-9999 , 25.9, 1011.9, 0.015,-0.003, 275, 6.9, 4.1 +28-Sep-2020 13:00, 7.292,-9999 , 25.7, 1012.3,-0.004,-0.017, 294, 4.7, 3.5 +28-Sep-2020 14:00, 7.350,-9999 , 25.7, 1012.1, 0.028, 0.018, 275, 5.6, 4.2 +28-Sep-2020 15:00, 6.816,-9999 , 25.6, 1011.6,-0.043,-0.055, 267, 6.3, 4.8 +28-Sep-2020 16:00, 6.006,-9999 , 25.5, 1010.9,-0.086,-0.103, 275, 7.2, 4.7 +28-Sep-2020 17:00, 5.129,-9999 , 25.4, 1010.4,-0.053,-0.077, 270, 5.9, 4.3 +28-Sep-2020 18:00, 4.302,-9999 , 25.3, 1009.9,-0.010,-0.039, 257, 7.0, 5.4 +28-Sep-2020 19:00, 3.703,-9999 , 25.2, 1009.4, 0.050, 0.017, 257, 6.6, 4.4 +28-Sep-2020 20:00, 3.563,-9999 , 25.1, 1009.4, 0.049, 0.010, 240, 7.1, 4.3 +28-Sep-2020 21:00, 4.059,-9999 , 25.2, 1010.2, 0.036,-0.001, 234, 7.9, 5.2 +28-Sep-2020 22:00, 4.994,-9999 , 25.6, 1011.0, 0.066, 0.036, 217, 7.2, 4.1 +28-Sep-2020 23:00, 6.027,-9999 , 26.0, 1012.0, 0.074, 0.053, 215, 5.6, 3.4 +29-Sep-2020 00:00, 6.951,-9999 , 25.7, 1012.5, 0.018, 0.006, 88, 4.8, 2.8 +29-Sep-2020 01:00, 7.605,-9999 , 27.0, 1012.6,-0.039,-0.046, 87, 3.4, 1.2 +29-Sep-2020 02:00, 7.782,-9999 , 27.5, 1012.3, 0.017, 0.011, 223, 4.2, 3.0 +29-Sep-2020 03:00, 7.252,-9999 , 26.8, 1011.7, 0.009,-0.001, 250, 5.5, 3.8 +29-Sep-2020 04:00, 6.242,-9999 , 26.7, 1010.5,-0.072,-0.088, 265, 6.4, 5.1 +29-Sep-2020 05:00, 5.123,-9999 , 26.8, 1009.7,-0.058,-0.086, 286, 7.1, 5.2 +29-Sep-2020 06:00, 4.060,-9999 , 27.1, 1009.0, 0.004,-0.032, 279, 7.8, 5.9 +29-Sep-2020 07:00, 3.188,-9999 , 27.3, 1008.3, 0.059, 0.015, 265, 7.7, 6.1 +29-Sep-2020 08:00, 2.803,-9999 , 27.3, 1008.2, 0.041,-0.008, 266, 7.5, 6.2 +29-Sep-2020 09:00, 3.217,-9999 , 27.5, 1008.4, 0.006,-0.044, 271, 7.7, 6.1 +29-Sep-2020 10:00, 4.235,-9999 , 27.1, 1009.0, 0.023,-0.025, 271, 7.3, 5.3 +29-Sep-2020 11:00, 5.469,-9999 , 26.8, 1009.9, 0.050, 0.009, 275, 6.5, 4.5 +29-Sep-2020 12:00, 6.657,-9999 , 26.8, 1010.5,-0.001,-0.033, 255, 6.5, 5.2 +29-Sep-2020 13:00, 7.638,-9999 , 26.6, 1010.9,-0.076,-0.103, 247, 6.4, 5.0 +29-Sep-2020 14:00, 8.162,-9999 , 26.4, 1010.9, 0.009,-0.015, 241, 6.9, 4.6 +29-Sep-2020 15:00, 7.858,-9999 , 26.4, 1010.5, 0.082, 0.059, 244, 6.4, 3.5 +29-Sep-2020 16:00, 6.880,-9999 , 26.2, 1009.7, 0.016,-0.012, 248, 5.5, 2.9 +29-Sep-2020 17:00, 5.694,-9999 , 26.3, 1008.9,-0.017,-0.053, 250, 4.7, 3.4 +29-Sep-2020 18:00, 4.484,-9999 , 25.7, 1008.6,-0.026,-0.070, 287, 3.4, 1.2 +29-Sep-2020 19:00, 3.414,-9999 , 25.3, 1008.6, 0.017,-0.030, 256, 1.5, 1.0 +29-Sep-2020 20:00, 2.743,-9999 , 24.7, 1009.2, 0.028,-0.018, 164, 6.0, 4.6 +29-Sep-2020 21:00, 2.912,-9999 , 24.4, 1009.6,-0.031,-0.071, 174, 7.5, 6.1 +29-Sep-2020 22:00, 3.941,-9999 , 23.2, 1010.2, 0.003,-0.033, 186, 8.3, 4.1 +29-Sep-2020 23:00, 5.292,-9999 , 24.8, 1010.8, 0.046, 0.016, 178, 7.0, 4.8 +30-Sep-2020 00:00, 6.623,-9999 , 25.9, 1010.9, 0.016,-0.009, 211, 5.9, 2.9 +30-Sep-2020 01:00, 7.765,-9999 , 26.6, 1011.0,-0.066,-0.089, 192, 4.9, 3.2 +30-Sep-2020 02:00, 8.427,-9999 , 27.9, 1010.6,-0.044,-0.066, 236, 5.3, 3.8 +30-Sep-2020 03:00, 8.207,-9999 , 27.8, 1009.8, 0.027, 0.000, 269, 5.9, 4.0 +30-Sep-2020 04:00, 7.181,-9999 , 27.5, 1008.7,-0.015,-0.051, 267, 6.5, 5.7 +30-Sep-2020 05:00, 5.871,-9999 , 27.9, 1007.6,-0.029,-0.075, 263, 7.6, 6.2 +30-Sep-2020 06:00, 4.509,-9999 , 28.0, 1006.7,-0.015,-0.072, 262, 7.8, 6.6 +30-Sep-2020 07:00, 3.264,-9999 , 28.7, 1006.3, 0.035,-0.031, 248, 8.4, 6.9 +30-Sep-2020 08:00, 2.364,-9999 , 28.4, 1006.0, 0.068,-0.002, 254, 9.7, 7.4 +30-Sep-2020 09:00, 2.302,-9999 , 28.1, 1006.0,-0.007,-0.079, 253, 9.8, 7.3 +30-Sep-2020 10:00, 3.278,-9999 , 28.4, 1006.1,-0.004,-0.076, 248, 10.1, 7.7 +30-Sep-2020 11:00, 4.714,-9999 , 28.2, 1007.0, 0.028,-0.042, 211, 10.5, 6.3 +30-Sep-2020 12:00, 6.215,-9999 , 27.7, 1008.0, 0.016,-0.045, 218, 8.2, 6.0 +30-Sep-2020 13:00, 7.596,-9999 , 27.7, 1009.3,-0.066,-0.117, 346, 6.8, 3.0 +30-Sep-2020 14:00, 8.559,-9999 , 27.8, 1009.7,-0.079,-0.118, 326, 5.7, 4.0 +30-Sep-2020 15:00, 8.621,-9999 , 27.0, 1009.4, 0.015,-0.020, 280, 4.5, 2.4 +30-Sep-2020 16:00, 7.696,-9999 , 26.8, 1008.9, 0.001,-0.038, 275, 4.8, 3.4 +30-Sep-2020 17:00, 6.382,-9999 , 26.8, 1008.5,-0.017,-0.060, 306, 4.7, 2.9 +30-Sep-2020 18:00, 4.996,-9999 , 26.0, 1008.6, 0.003,-0.045, 280, 4.0, 0.4 +30-Sep-2020 19:00, 3.608,-9999 , 26.5, 1008.6, 0.002,-0.044, 186, 7.9, 6.4 +30-Sep-2020 20:00, 2.480,-9999 , 27.0, 1008.3, 0.060, 0.014, 196, 10.0, 8.1 +30-Sep-2020 21:00, 2.079,-9999 , 27.0, 1008.8, 0.002,-0.047, 199, 9.7, 7.3 +30-Sep-2020 22:00, 2.860,-9999 , 26.9, 1009.3,-0.032,-0.076, 188, 8.7, 7.0 +30-Sep-2020 23:00, 4.346,-9999 , 27.6, 1009.8, 0.005,-0.033, 187, 11.0, 9.0 +01-Oct-2020 00:00, 5.959,-9999 , 28.6, 1010.4, 0.005,-0.029, 182, 10.7, 7.1 +01-Oct-2020 01:00, 7.497,-9999 , 29.3, 1010.5,-0.039,-0.067, 199, 8.2, 3.3 +01-Oct-2020 02:00, 8.648,-9999 , 31.3, 1010.4,-0.076,-0.103, 234, 3.5, 0.7 +01-Oct-2020 03:00, 8.896,-9999 , 32.6, 1009.7,-0.018,-0.047, 221, 3.5, 3.0 +01-Oct-2020 04:00, 8.065,-9999 , 32.3, 1008.6, 0.008,-0.028, 261, 5.7, 4.8 +01-Oct-2020 05:00, 6.695,-9999 , 31.0, 1007.4, 0.008,-0.040, 260, 8.7, 7.3 +01-Oct-2020 06:00, 5.211,-9999 , 30.7, 1006.6, 0.039,-0.020, 246, 9.9, 7.9 +01-Oct-2020 07:00, 3.729,-9999 , 30.7, 1006.0, 0.052,-0.015, 245, 10.9, 7.8 +01-Oct-2020 08:00, 2.449,-9999 , 30.7, 1005.8, 0.106, 0.033, 234, 10.9, 8.4 +01-Oct-2020 09:00, 1.777,-9999 , 30.0, 1006.1, 0.038,-0.035, 225, 10.3, 7.7 +01-Oct-2020 10:00, 2.325,-9999 , 29.3, 1006.5,-0.064,-0.135, 222, 10.0, 7.6 +01-Oct-2020 11:00, 3.811,-9999 , 28.9, 1007.5,-0.044,-0.111, 219, 9.3, 7.0 +01-Oct-2020 12:00, 5.510,-9999 , 29.4, 1008.9,-0.042,-0.098, 354, 7.8, 3.9 +01-Oct-2020 13:00, 7.221,-9999 , 28.9, 1009.4,-0.040,-0.082, 316, 5.6, 2.6 +01-Oct-2020 14:00, 8.646,-9999 , 28.0, 1009.8,-0.041,-0.078, 310, 4.4, 1.5 +01-Oct-2020 15:00, 9.214,-9999 , 28.0, 1009.4, 0.029,-0.006, 248, 4.1, 3.5 +01-Oct-2020 16:00, 8.555,-9999 , 27.6, 1009.1, 0.062, 0.023, 343, 6.2, 3.0 +01-Oct-2020 17:00, 7.172,-9999 , 26.3, 1009.0, 0.031,-0.011, 358, 5.6, 4.5 +01-Oct-2020 18:00, 5.660,-9999 , 26.1, 1009.0, 0.048, 0.007, 352, 6.3, 5.2 +01-Oct-2020 19:00, 4.098,-9999 , 25.2, 1009.0, 0.029,-0.014, 336, 7.9, 5.6 +01-Oct-2020 20:00, 2.663,-9999 , 24.5, 1010.5, 0.067, 0.027, 39, 11.9, 4.1 +01-Oct-2020 21:00, 1.711,-9999 , 24.8, 1010.7, 0.062, 0.035, 23, 4.9, 3.3 +01-Oct-2020 22:00, 1.966,-9999 , 24.7, 1011.1,-0.008,-0.033, 355, 6.0, 4.6 +01-Oct-2020 23:00, 3.372,-9999 , 26.1, 1011.3, 0.004,-0.018, 337, 7.7, 6.4 +02-Oct-2020 00:00, 5.115,-9999 , 27.0, 1011.8,-0.012,-0.031, 326, 9.3, 7.3 +02-Oct-2020 01:00, 6.907,-9999 , 27.4, 1012.0,-0.017,-0.031, 329, 9.1, 6.6 +02-Oct-2020 02:00, 8.489,-9999 , 27.6, 1011.6,-0.019,-0.032, 317, 10.2, 7.6 +02-Oct-2020 03:00, 9.316,-9999 , 28.0, 1011.0, 0.034, 0.017, 315, 10.4, 8.2 +02-Oct-2020 04:00, 8.873,-9999 , 27.7, 1010.0, 0.079, 0.056, 289, 10.2, 7.7 +02-Oct-2020 05:00, 7.510,-9999 , 27.5, 1009.4, 0.048, 0.015, 289, 10.2, 7.2 +02-Oct-2020 06:00, 5.960,-9999 , 27.4, 1009.1, 0.081, 0.043, 280, 10.0, 6.1 +02-Oct-2020 07:00, 4.368,-9999 , 27.7, 1008.4, 0.093, 0.051, 279, 9.3, 7.7 +02-Oct-2020 08:00, 2.866,-9999 , 27.9, 1008.2, 0.114, 0.066, 281, 9.6, 8.0 +02-Oct-2020 09:00, 1.769,-9999 , 27.8, 1008.3, 0.133, 0.082, 283, 10.2, 7.8 +02-Oct-2020 10:00, 1.752,-9999 , 27.3, 1009.3, 0.041,-0.007, 309, 9.0, 5.6 +02-Oct-2020 11:00, 3.047,-9999 , 27.1, 1009.9, 0.022,-0.017, 306, 8.5, 6.4 +02-Oct-2020 12:00, 4.850,-9999 , 27.1, 1010.4, 0.025,-0.008, 302, 9.0, 6.5 +02-Oct-2020 13:00, 6.708,-9999 , 27.0, 1011.1, 0.022,-0.006, 313, 9.0, 5.7 +02-Oct-2020 14:00, 8.411,-9999 , 27.0, 1011.3, 0.024, 0.003, 307, 9.0, 5.8 +02-Oct-2020 15:00, 9.431,-9999 , 26.9, 1011.1, 0.029, 0.010, 306, 8.2, 5.6 +02-Oct-2020 16:00, 9.191,-9999 , 26.8, 1010.5, 0.042, 0.020, 306, 7.0, 4.3 +02-Oct-2020 17:00, 7.914,-9999 , 26.7, 1009.9, 0.032, 0.004, 302, 5.6, 4.3 +02-Oct-2020 18:00, 6.367,-9999 , 26.6, 1009.4, 0.080, 0.046, 301, 5.6, 3.6 +02-Oct-2020 19:00, 4.727,-9999 , 26.6, 1009.4, 0.084, 0.046, 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1005.1, 0.060,-0.027, 284, 6.9, 4.0 +15-Oct-2020 11:00, 5.626, 27.2, 26.7, 1006.0,-0.005,-0.085, 299, 5.0, 3.1 +15-Oct-2020 12:00, 7.166, 27.2, 26.5, 1006.4,-0.025,-0.097, 303, 4.4, 3.4 +15-Oct-2020 13:00, 8.446, 27.1, 26.4, 1006.9,-0.003,-0.070, 313, 4.5, 3.6 +15-Oct-2020 14:00, 8.981, 27.0, 26.2, 1006.9, 0.048,-0.015, 305, 4.4, 3.7 +15-Oct-2020 15:00, 8.468, 27.1, 26.3, 1006.6, 0.075, 0.012, 293, 6.2, 3.8 +15-Oct-2020 16:00, 7.239, 27.1, 26.1, 1006.0, 0.102, 0.035, 274, 5.5, 3.6 +15-Oct-2020 17:00, 5.794, 27.1, 26.1, 1006.0, 0.156, 0.084, 249, 5.1, 2.5 +15-Oct-2020 18:00, 4.297, 27.1, 26.0, 1005.6, 0.191, 0.119, 235, 6.8, 4.7 +15-Oct-2020 19:00, 2.931, 27.3, 26.0, 1005.5, 0.172, 0.096, 234, 7.0, 4.5 +15-Oct-2020 20:00, 2.011, 27.5, 25.7, 1005.7, 0.082, 0.005, 228, 5.0, 1.8 +15-Oct-2020 21:00, 2.195, 27.6, 25.4, 1006.0, 0.032,-0.042, 312, 2.3, 1.0 +15-Oct-2020 22:00, 3.510, 27.2, 25.1, 1006.5, 0.041,-0.030, 303, 2.6, 1.3 +15-Oct-2020 23:00, 5.168, 27.1, 26.4, 1007.0,-0.004,-0.070, 321, 3.3, 2.7 +16-Oct-2020 00:00, 6.866, 27.1, 27.9, 1007.3,-0.035,-0.096, 311, 4.4, 3.4 +16-Oct-2020 01:00, 8.396, 27.1, 27.8, 1007.6,-0.006,-0.065, 320, 5.9, 4.9 +16-Oct-2020 02:00, 9.236, 27.1, 27.8, 1007.7, 0.053,-0.003, 315, 7.8, 6.0 +16-Oct-2020 03:00, 8.909, 27.1, 27.5, 1007.3, 0.054,-0.001, 314, 9.0, 7.2 +16-Oct-2020 04:00, 7.696, 27.1, 27.4, 1006.3, 0.080, 0.020, 316, 10.0, 7.8 +16-Oct-2020 05:00, 6.208, 27.3, 28.0, 1005.2, 0.160, 0.090, 306, 11.2, 8.4 +16-Oct-2020 06:00, 4.613, 27.4, 27.8, 1004.2, 0.185, 0.103, 309, 10.8, 9.1 +16-Oct-2020 07:00, 3.090, 27.6, 27.5, 1003.8, 0.176, 0.085, 307, 11.5, 9.3 +16-Oct-2020 08:00, 1.910, 27.9, 27.5, 1003.6, 0.129, 0.035, 308, 11.5, 9.2 +16-Oct-2020 09:00, 1.685, 28.0, 27.3, 1003.8, 0.057,-0.039, 292, 11.3, 8.8 +16-Oct-2020 10:00, 2.791, 27.5, 27.0, 1004.1, 0.002,-0.091, 298, 11.3, 7.5 +16-Oct-2020 11:00, 4.560, 27.4, 26.8, 1004.6,-0.044,-0.134, 299, 9.5, 7.8 +16-Oct-2020 12:00, 6.502, 27.4, 26.8, 1005.7,-0.026,-0.111, 297, 9.1, 6.2 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9.412, 27.3, 27.4, 1008.0, 0.071, 0.017, 261, 6.8, 5.7 +17-Oct-2020 03:00, 9.794, 27.3, 27.4, 1007.7, 0.043,-0.009, 279, 7.6, 5.0 +17-Oct-2020 04:00, 8.869, 27.4, 27.5, 1007.0, 0.029,-0.027, 288, 8.5, 6.3 +17-Oct-2020 05:00, 7.283, 27.5, 27.5, 1006.2, 0.086, 0.023, 283, 9.4, 7.2 +17-Oct-2020 06:00, 5.565, 27.7, 27.3, 1005.9, 0.154, 0.083, 280, 9.4, 7.5 +17-Oct-2020 07:00, 3.790, 27.8, 27.4, 1005.5, 0.140, 0.066, 282, 10.0, 7.3 +17-Oct-2020 08:00, 2.174, 28.0, 27.6, 1005.4, 0.118, 0.041, 278, 9.1, 6.9 +17-Oct-2020 09:00, 1.158, 28.2, 27.4, 1005.7, 0.077, 0.000, 285, 8.7, 6.2 +17-Oct-2020 10:00, 1.572, 28.1, 26.9, 1006.1, 0.025,-0.050, 275, 8.3, 6.2 +17-Oct-2020 11:00, 3.287, 27.7, 26.6, 1006.6,-0.038,-0.108, 276, 8.3, 6.7 +17-Oct-2020 12:00, 5.401, 27.6, 26.7, 1007.2,-0.081,-0.146, 274, 8.1, 6.5 +17-Oct-2020 13:00, 7.628, 27.5, 26.6, 1007.7,-0.016,-0.076, 273, 9.1, 7.0 +17-Oct-2020 14:00, 9.543, 27.5, 26.5, 1007.8, 0.061, 0.006, 279, 8.6, 6.5 +17-Oct-2020 15:00,10.310, 27.4, 26.7, 1007.7, 0.032,-0.022, 272, 8.3, 6.4 +17-Oct-2020 16:00, 9.620, 27.4, 26.6, 1007.5, 0.010,-0.045, 271, 8.1, 5.6 +17-Oct-2020 17:00, 8.029, 27.4, 26.6, 1007.1, 0.084, 0.026, 263, 7.4, 5.8 +17-Oct-2020 18:00, 6.181, 27.5, 26.4, 1006.7, 0.173, 0.111, 271, 7.4, 5.6 +17-Oct-2020 19:00, 4.209, 27.4, 26.4, 1006.8, 0.174, 0.108, 267, 6.9, 5.2 +17-Oct-2020 20:00, 2.304, 27.5, 26.3, 1007.1, 0.156, 0.092, 268, 6.6, 4.6 +17-Oct-2020 21:00, 0.812, 27.5, 26.2, 1007.7, 0.099, 0.038, 266, 6.7, 4.9 +17-Oct-2020 22:00, 0.665, 27.4, 26.1, 1008.7, 0.047,-0.007, 263, 5.9, 4.1 +17-Oct-2020 23:00, 2.152, 27.5, 26.5, 1009.5,-0.002,-0.046, 279, 5.7, 4.0 +18-Oct-2020 00:00, 4.291, 27.4, 26.6, 1010.2,-0.067,-0.103, 280, 6.3, 3.6 +18-Oct-2020 01:00, 6.584, 27.4, 26.7, 1010.5,-0.039,-0.069, 262, 6.9, 4.4 +18-Oct-2020 02:00, 8.745, 27.4, 26.5, 1010.1, 0.035, 0.007, 260, 7.3, 4.6 +18-Oct-2020 03:00, 9.998, 27.4, 26.5, 1010.0, 0.036, 0.005, 259, 6.7, 5.0 +18-Oct-2020 04:00, 9.757, 27.4, 26.7, 1009.4, 0.001,-0.032, 264, 7.4, 5.6 +18-Oct-2020 05:00, 8.359, 27.6, 26.6, 1008.8, 0.015,-0.024, 266, 7.7, 6.4 +18-Oct-2020 06:00, 6.616, 27.7, 26.7, 1008.3, 0.096, 0.051, 261, 8.2, 6.4 +18-Oct-2020 07:00, 4.782, 27.8, 26.8, 1008.1, 0.126, 0.077, 253, 9.2, 6.6 +18-Oct-2020 08:00, 2.954, 28.1, 26.6, 1007.8, 0.106, 0.054, 253, 9.2, 7.3 +18-Oct-2020 09:00, 1.414, 28.3, 26.4, 1008.2, 0.075, 0.021, 253, 9.9, 7.9 +18-Oct-2020 10:00, 0.844, 28.3, 25.9, 1008.5,-0.024,-0.074, 246, 10.2, 6.9 +18-Oct-2020 11:00, 2.007, 28.0, 25.8, 1008.8,-0.073,-0.120, 246, 9.5, 7.0 +18-Oct-2020 12:00, 4.140, 27.7, 26.0, 1009.5,-0.108,-0.151, 240, 8.7, 5.1 +18-Oct-2020 13:00, 6.490, 27.7, 25.9, 1009.8,-0.061,-0.098, 247, 8.4, 6.1 +18-Oct-2020 14:00, 8.814, 27.6, 26.0, 1010.3, 0.057, 0.024, 241, 7.8, 5.2 +18-Oct-2020 15:00,10.331, 27.6, 26.3, 1010.2, 0.038, 0.009, 246, 7.8, 5.2 +18-Oct-2020 16:00,10.369, 27.5, 26.0, 1009.6,-0.036,-0.067, 246, 7.5, 5.5 +18-Oct-2020 17:00, 9.114, 27.5, 25.8, 1008.9, 0.006,-0.032, 241, 7.8, 5.4 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3.767, 27.6, 26.4, 1008.4, 0.114, 0.062, 217, 7.5, 5.8 +20-Oct-2020 22:00, 2.112, 27.6, 26.4, 1008.6, 0.168, 0.120, 220, 7.5, 4.9 +20-Oct-2020 23:00, 1.060, 27.6, 27.0, 1009.2, 0.119, 0.073, 219, 6.2, 5.0 +21-Oct-2020 00:00, 1.448, 27.6, 27.4, 1010.0, 0.085, 0.045, 225, 6.9, 5.6 +21-Oct-2020 01:00, 3.029, 27.6, 27.7, 1010.2, 0.060, 0.028, 226, 7.8, 5.7 +21-Oct-2020 02:00, 4.858, 27.7, 27.7, 1009.9, 0.008,-0.023, 234, 7.8, 5.3 +21-Oct-2020 03:00, 6.729, 27.7, 26.7, 1009.5,-0.019,-0.052, 259, 7.9, 6.1 +21-Oct-2020 04:00, 8.391, 27.7, 26.8, 1008.8,-0.029,-0.067, 262, 8.1, 6.6 +21-Oct-2020 05:00, 9.182, 27.7, 26.9, 1008.0,-0.019,-0.064, 261, 8.6, 6.9 +21-Oct-2020 06:00, 8.638, 27.7, 27.1, 1007.7,-0.027,-0.079, 256, 9.1, 7.1 +21-Oct-2020 07:00, 7.322, 27.8, 27.0, 1007.3, 0.000,-0.056, 252, 9.7, 7.0 +21-Oct-2020 08:00, 5.892, 27.9, 27.3, 1007.2, 0.052,-0.007, 246, 9.2, 6.7 +21-Oct-2020 09:00, 4.370, 28.0, 27.3, 1007.3, 0.044,-0.016, 245, 8.6, 6.3 +21-Oct-2020 10:00, 2.940, 28.1, 26.9, 1007.6, 0.032,-0.027, 243, 7.9, 4.9 +21-Oct-2020 11:00, 2.017, 28.3, 26.8, 1008.2, 0.037,-0.019, 252, 7.7, 4.8 +21-Oct-2020 12:00, 2.198, 28.2, 26.7, 1008.5, 0.023,-0.027, 244, 7.8, 5.3 +21-Oct-2020 13:00, 3.566, 27.9, 26.6, 1008.8,-0.009,-0.056, 240, 7.4, 4.8 +21-Oct-2020 14:00, 5.358, 27.8, 26.4, 1008.7,-0.006,-0.050, 237, 7.3, 4.9 +21-Oct-2020 15:00, 7.142, 27.8, 26.3, 1008.1, 0.031,-0.014, 238, 6.9, 4.8 +21-Oct-2020 16:00, 8.638, 27.8, 26.2, 1007.4,-0.012,-0.064, 241, 6.7, 4.5 +21-Oct-2020 17:00, 9.416, 27.8, 26.2, 1006.6,-0.068,-0.127, 236, 7.0, 5.5 +21-Oct-2020 18:00, 9.052, 27.8, 26.2, 1006.0,-0.077,-0.144, 236, 7.5, 5.5 +21-Oct-2020 19:00, 7.804, 27.8, 26.1, 1005.8,-0.047,-0.120, 242, 7.2, 4.2 +21-Oct-2020 20:00, 6.353, 27.7, 26.2, 1006.3, 0.006,-0.068, 250, 6.2, 4.4 +21-Oct-2020 21:00, 4.841, 27.7, 26.3, 1007.0, 0.031,-0.038, 246, 7.0, 4.7 +21-Oct-2020 22:00, 3.360, 27.7, 26.3, 1007.6, 0.085, 0.023, 244, 7.0, 4.8 +21-Oct-2020 23:00, 2.157, 27.8, 26.7, 1008.4, 0.098, 0.043, 227, 7.7, 6.0 +22-Oct-2020 00:00, 1.792, 27.8, 27.1, 1009.0, 0.063, 0.015, 223, 7.8, 6.0 +22-Oct-2020 01:00, 2.669, 27.7, 27.6, 1009.5, 0.059, 0.018, 227, 7.4, 5.6 +22-Oct-2020 02:00, 4.122, 27.7, 27.4, 1009.3, 0.040, 0.003, 248, 7.9, 5.8 +22-Oct-2020 03:00, 5.627, 27.7, 26.5, 1009.1, 0.029,-0.010, 269, 8.1, 6.0 +22-Oct-2020 04:00, 7.056, 27.8, 26.7, 1008.5,-0.010,-0.052, 265, 8.1, 6.8 +22-Oct-2020 05:00, 8.136, 27.8, 26.8, 1007.9,-0.037,-0.085, 267, 8.9, 7.0 +22-Oct-2020 06:00, 8.349, 27.8, 26.7, 1007.3,-0.047,-0.101, 284, 8.8, 6.3 +22-Oct-2020 07:00, 7.567, 27.8, 27.0, 1006.8,-0.062,-0.122, 280, 8.5, 6.4 +22-Oct-2020 08:00, 6.413, 27.9, 27.1, 1006.5,-0.023,-0.087, 277, 8.4, 6.5 +22-Oct-2020 09:00, 5.207, 28.0, 27.2, 1006.7,-0.001,-0.068, 272, 7.3, 5.8 +22-Oct-2020 10:00, 4.009, 28.1, 26.8, 1007.3,-0.011,-0.075, 271, 7.3, 6.0 +22-Oct-2020 11:00, 3.072, 28.1, 26.7, 1007.5, 0.008,-0.051, 273, 7.4, 4.2 +22-Oct-2020 12:00, 2.743, 28.1, 26.6, 1008.1, 0.023,-0.033, 270, 6.7, 5.3 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3.878, 27.8, 27.3, 1009.8, 0.095, 0.063, 247, 7.2, 5.1 +23-Oct-2020 03:00, 4.937, 27.8, 26.6, 1009.4, 0.064, 0.029, 259, 8.3, 6.5 +23-Oct-2020 04:00, 6.012, 27.9, 26.6, 1009.0, 0.056, 0.018, 261, 8.6, 6.7 +23-Oct-2020 05:00, 6.970, 27.9, 26.8, 1008.1, 0.053, 0.009, 269, 8.8, 7.1 +23-Oct-2020 06:00, 7.573, 27.9, 26.8, 1007.8, 0.064, 0.013, 262, 9.7, 7.6 +23-Oct-2020 07:00, 7.450, 27.9, 27.0, 1007.4, 0.021,-0.033, 271, 9.4, 6.9 +23-Oct-2020 08:00, 6.715, 27.9, 27.1, 1007.2,-0.018,-0.076, 258, 9.3, 6.6 +23-Oct-2020 09:00, 5.845, 28.0, 26.8, 1007.4, 0.020,-0.040, 253, 9.5, 7.5 +23-Oct-2020 10:00, 4.944, 28.1, 26.5, 1008.0, 0.013,-0.045, 246, 8.8, 5.6 +23-Oct-2020 11:00, 4.174, 28.0, 26.4, 1008.7,-0.004,-0.055, 246, 8.8, 5.1 +23-Oct-2020 12:00, 3.711, 28.0, 26.3, 1009.2, 0.003,-0.042, 237, 8.0, 4.7 +23-Oct-2020 13:00, 3.786, 28.0, 26.3, 1009.6, 0.010,-0.030, 237, 6.6, 4.8 +23-Oct-2020 14:00, 4.497, 28.0, 26.3, 1009.5, 0.024,-0.012, 234, 7.5, 5.1 +23-Oct-2020 15:00, 5.479, 28.0, 26.2, 1009.1, 0.059, 0.021, 252, 8.2, 5.8 +23-Oct-2020 16:00, 6.393, 28.0, 26.2, 1008.5, 0.051, 0.009, 234, 8.8, 7.0 +23-Oct-2020 17:00, 7.130, 28.0, 25.9, 1007.8, 0.028,-0.020, 239, 8.4, 5.1 +23-Oct-2020 18:00, 7.619, 27.9, 25.9, 1007.7, 0.075, 0.020, 268, 8.1, 4.9 +23-Oct-2020 19:00, 7.571, 27.9, 26.1, 1008.0, 0.051,-0.004, 243, 8.2, 5.4 +23-Oct-2020 20:00, 6.930, 27.9, 26.1, 1008.4,-0.050,-0.102, 241, 8.5, 4.5 +23-Oct-2020 21:00, 6.126, 27.9, 25.9, 1008.9,-0.049,-0.097, 239, 7.8, 5.2 +23-Oct-2020 22:00, 5.314, 27.9, 25.9, 1009.7,-0.011,-0.053, 277, 7.4, 4.1 +23-Oct-2020 23:00, 4.552, 27.8, 26.1, 1009.8, 0.000,-0.035, 254, 6.5, 5.5 +24-Oct-2020 00:00, 4.028, 27.8, 26.1, 1010.8, 0.063, 0.029, 282, 6.5, 4.6 +24-Oct-2020 01:00, 3.841, 27.8, 26.4, 1011.5, 0.117, 0.093, 274, 7.2, 5.0 +24-Oct-2020 02:00, 4.051, 27.9, 26.8, 1011.1, 0.064, 0.047, 264, 7.4, 5.2 +24-Oct-2020 03:00, 4.568, 27.9, 26.8, 1010.7, 0.014,-0.007, 258, 7.4, 5.4 +24-Oct-2020 04:00, 5.206, 27.9, 26.7, 1010.0, 0.001,-0.025, 264, 7.5, 5.7 +24-Oct-2020 05:00, 5.858, 27.9, 27.4, 1009.2, 0.009,-0.024, 254, 7.7, 5.5 +24-Oct-2020 06:00, 6.437, 27.9, 27.2, 1008.8, 0.060, 0.019, 248, 8.1, 6.4 +24-Oct-2020 07:00, 6.754, 28.0, 26.7, 1008.4, 0.070, 0.026, 266, 9.2, 6.9 +24-Oct-2020 08:00, 6.625, 28.0, 27.0, 1007.5, 0.025,-0.024, 276, 9.5, 7.2 +24-Oct-2020 09:00, 6.182, 28.0, 26.9, 1007.9, 0.011,-0.046, 261, 10.1, 6.5 +24-Oct-2020 10:00, 5.640, 28.0, 26.7, 1008.2, 0.022,-0.031, 264, 7.8, 4.6 +24-Oct-2020 11:00, 5.150, 28.1, 26.5, 1008.8, 0.027,-0.023, 263, 6.8, 4.9 +24-Oct-2020 12:00, 4.783, 28.0, 26.4, 1009.4, 0.005,-0.039, 264, 6.3, 4.4 +24-Oct-2020 13:00, 4.627, 28.0, 26.4, 1010.1, 0.011,-0.026, 251, 6.8, 5.0 +24-Oct-2020 14:00, 4.777, 28.0, 26.4, 1010.1, 0.029,-0.002, 251, 7.6, 5.8 +24-Oct-2020 15:00, 5.154, 28.0, 26.4, 1009.6, 0.025,-0.006, 250, 7.7, 4.5 +24-Oct-2020 16:00, 5.632, 28.0, 26.3, 1009.0, 0.032,-0.004, 250, 7.5, 6.0 +24-Oct-2020 17:00, 6.097, 28.0, 26.3, 1008.5, 0.039,-0.004, 242, 8.2, 4.8 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5.682, 28.0, 26.8, 1007.7, 0.001,-0.048, 273, 9.2, 7.1 +25-Oct-2020 08:00, 6.011, 28.0, 26.5, 1007.4, 0.017,-0.038, 262, 10.6, 7.6 +25-Oct-2020 09:00, 6.145, 28.0, 26.5, 1007.5, 0.020,-0.039, 266, 8.7, 6.0 +25-Oct-2020 10:00, 6.094, 28.0, 26.4, 1008.3, 0.044,-0.012, 261, 7.9, 5.5 +25-Oct-2020 11:00, 5.989, 28.0, 26.2, 1008.8, 0.105, 0.056, 260, 8.0, 6.0 +25-Oct-2020 12:00, 5.820, 28.0, 26.4, 1009.4, 0.083, 0.040, 256, 8.4, 5.9 +25-Oct-2020 13:00, 5.594, 28.0, 26.3, 1009.6, 0.005,-0.033, 257, 8.8, 5.4 +25-Oct-2020 14:00, 5.397, 28.0, 26.1, 1009.4,-0.029,-0.065, 257, 9.0, 4.6 +25-Oct-2020 15:00, 5.253, 28.0, 26.0, 1008.5,-0.042,-0.081, 241, 7.6, 5.5 +25-Oct-2020 16:00, 5.143, 28.0, 26.0, 1007.5,-0.084,-0.132, 254, 7.6, 4.8 +25-Oct-2020 17:00, 5.150, 28.0, 25.8, 1006.7,-0.114,-0.171, 238, 8.5, 5.5 +25-Oct-2020 18:00, 5.346, 27.9, 25.8, 1005.9,-0.007,-0.073, 241, 6.9, 4.4 +25-Oct-2020 19:00, 5.625, 28.0, 26.0, 1006.2, 0.124, 0.051, 239, 9.0, 5.7 +25-Oct-2020 20:00, 5.840, 28.0, 26.0, 1006.9, 0.069, 0.000, 239, 8.5, 5.5 +25-Oct-2020 21:00, 6.023, 27.9, 25.9, 1007.5,-0.017,-0.079, 242, 7.9, 5.1 +25-Oct-2020 22:00, 6.187, 27.9, 26.2, 1008.3, 0.020,-0.036, 238, 6.8, 4.3 +25-Oct-2020 23:00, 6.210, 27.9, 26.7, 1008.8, 0.062, 0.013, 227, 7.3, 5.1 +26-Oct-2020 00:00, 6.103, 28.0, 27.0, 1009.3, 0.058, 0.014, 230, 6.8, 5.5 +26-Oct-2020 01:00, 5.901, 28.0, 27.1, 1009.5, 0.048, 0.009, 248, 6.9, 4.8 +26-Oct-2020 02:00, 5.573, 28.0, 26.6, 1009.3, 0.027,-0.010, 242, 7.4, 4.8 +26-Oct-2020 03:00, 5.181, 28.0, 26.5, 1008.8, 0.014,-0.026, 268, 8.1, 5.8 +26-Oct-2020 04:00, 4.788, 28.0, 26.6, 1008.2,-0.009,-0.054, 281, 8.2, 5.5 +26-Oct-2020 05:00, 4.448, 28.0, 26.8, 1007.2,-0.122,-0.173, 262, 8.7, 5.9 +26-Oct-2020 06:00, 4.395, 28.1, 26.6, 1006.7,-0.137,-0.198, 267, 8.6, 6.4 +26-Oct-2020 07:00, 4.714, 28.1, 26.6, 1006.3, 0.014,-0.051, 268, 8.6, 6.4 +26-Oct-2020 08:00, 5.192, 28.2, 26.5, 1006.3, 0.076, 0.007, 271, 8.5, 6.6 +26-Oct-2020 09:00, 5.675, 28.1, 26.4, 1006.6, 0.024,-0.045, 264, 8.4, 6.4 +26-Oct-2020 10:00, 6.132, 28.1, 26.3, 1007.0, 0.034,-0.032, 269, 8.1, 6.0 +26-Oct-2020 11:00, 6.513, 28.1, 26.2, 1007.2, 0.118, 0.056, 258, 7.7, 5.0 +26-Oct-2020 12:00, 6.667, 28.1, 26.3, 1008.0, 0.116, 0.057, 265, 8.1, 5.8 +26-Oct-2020 13:00, 6.539, 28.1, 26.5, 1008.7, 0.011,-0.041, 249, 8.9, 6.1 +26-Oct-2020 14:00, 6.241, 28.1, 26.4, 1008.9,-0.034,-0.078, 259, 8.3, 5.9 +26-Oct-2020 15:00, 5.798, 28.1, 26.1, 1008.0,-0.036,-0.080, 242, 7.7, 5.3 +26-Oct-2020 16:00, 5.227, 28.1, 26.0, 1007.1,-0.071,-0.125, 243, 8.1, 5.4 +26-Oct-2020 17:00, 4.741, 28.1, 25.9, 1007.0,-0.091,-0.152, 241, 7.8, 4.4 +26-Oct-2020 18:00, 4.481, 28.1, 25.8, 1006.6,-0.056,-0.118, 250, 8.1, 4.8 +26-Oct-2020 19:00, 4.507, 28.0, 25.8, 1006.6, 0.027,-0.039, 256, 6.7, 4.9 +26-Oct-2020 20:00, 4.846, 28.1, 25.9, 1007.3, 0.075, 0.010, 245, 8.1, 5.5 +26-Oct-2020 21:00, 5.380, 28.1, 25.9, 1007.7, 0.039,-0.020, 247, 8.0, 5.3 +26-Oct-2020 22:00, 5.956, 28.1, 26.0, 1008.4,-0.005,-0.060, 234, 7.4, 5.8 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7.182, 28.3, 26.6, 1009.6, 0.067, 0.026, 275, 7.9, 6.4 +27-Oct-2020 13:00, 7.416, 28.3, 26.5, 1010.4, 0.048, 0.013, 268, 7.7, 5.2 +27-Oct-2020 14:00, 7.181, 28.2, 26.4, 1010.5, 0.027,-0.001, 270, 8.2, 5.9 +27-Oct-2020 15:00, 6.529, 28.3, 26.3, 1010.3,-0.028,-0.055, 266, 8.2, 6.0 +27-Oct-2020 16:00, 5.687, 28.2, 26.1, 1009.8,-0.041,-0.071, 263, 8.3, 5.8 +27-Oct-2020 17:00, 4.831, 28.2, 26.3, 1009.9,-0.004,-0.038, 261, 7.6, 4.6 +27-Oct-2020 18:00, 4.093, 28.1, 26.2, 1009.8, 0.010,-0.023, 267, 6.0, 4.1 +27-Oct-2020 19:00, 3.643, 28.0, 26.2, 1010.1,-0.001,-0.035, 263, 6.2, 4.2 +27-Oct-2020 20:00, 3.745, 28.0, 26.3, 1011.3,-0.014,-0.043, 255, 5.8, 1.5 +27-Oct-2020 21:00, 4.433, 28.1, 26.2, 1011.5, 0.008,-0.011, 236, 3.8, 2.1 +27-Oct-2020 22:00, 5.385, 28.2, 26.2, 1012.4, 0.018, 0.001, 242, 4.3, 1.7 +27-Oct-2020 23:00, 6.314, 28.1, 26.6, 1013.2,-0.014,-0.022, 92, 4.1, 2.7 +28-Oct-2020 00:00, 7.099, 28.1, 27.1, 1013.5,-0.036,-0.036, 83, 4.7, 3.2 +28-Oct-2020 01:00, 7.576, 28.1, 29.2, 1013.6, 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29.4, 1005.0, 0.016,-0.059, 300, 7.7, 5.2 +24-Nov-2020 17:00, 4.654,-9999 , 29.4, 1004.6,-0.099,-0.181, 287, 6.1, 4.0 +24-Nov-2020 18:00, 4.687,-9999 , 29.2, 1004.1,-0.082,-0.168, 264, 6.6, 4.5 +24-Nov-2020 19:00, 5.088,-9999 , 29.1, 1004.2, 0.116, 0.025, 244, 8.0, 5.5 +24-Nov-2020 20:00, 5.579,-9999 , 29.1, 1004.6, 0.168, 0.078, 236, 9.2, 7.1 +24-Nov-2020 21:00, 5.990,-9999 , 29.1, 1005.2, 0.059,-0.027, 224, 8.7, 7.1 +24-Nov-2020 22:00, 6.351,-9999 , 29.3, 1005.8, 0.034,-0.046, 223, 9.1, 6.5 +24-Nov-2020 23:00, 6.600,-9999 , 29.6, 1006.5, 0.110, 0.036, 212, 8.4, 5.6 +25-Nov-2020 00:00, 6.520,-9999 , 29.8, 1006.7, 0.075, 0.008, 202, 6.7, 4.7 +25-Nov-2020 01:00, 6.128,-9999 , 29.7, 1006.8,-0.060,-0.125, 245, 4.7, 2.5 +25-Nov-2020 02:00, 5.681,-9999 , 29.8, 1006.4,-0.068,-0.132, 274, 5.6, 4.3 +25-Nov-2020 03:00, 5.255,-9999 , 29.7, 1005.8, 0.035,-0.034, 284, 7.1, 5.0 +25-Nov-2020 04:00, 4.830,-9999 , 30.1, 1005.0, 0.115, 0.040, 291, 7.4, 5.7 +25-Nov-2020 05:00, 4.459,-9999 , 30.2, 1004.0, 0.057,-0.026, 274, 8.2, 5.6 +25-Nov-2020 06:00, 4.340,-9999 , 30.2, 1004.0,-0.026,-0.117, 286, 8.3, 6.3 +25-Nov-2020 07:00, 4.611,-9999 , 30.3, 1003.6,-0.015,-0.107, 291, 8.7, 6.5 +25-Nov-2020 08:00, 5.213,-9999 , 30.2, 1003.0, 0.017,-0.079, 293, 9.5, 7.0 +25-Nov-2020 09:00, 5.969,-9999 , 30.0, 1003.0, 0.063,-0.040, 259, 9.2, 7.4 +25-Nov-2020 10:00, 6.629,-9999 , 29.7, 1004.5, 0.111, 0.011, 272, 8.4, 5.0 +25-Nov-2020 11:00, 7.042,-9999 , 29.6, 1005.3, 0.125, 0.039, 275, 6.7, 4.0 +25-Nov-2020 12:00, 7.179,-9999 , 29.4, 1005.7, 0.118, 0.040, 271, 6.0, 4.9 +25-Nov-2020 13:00, 6.989,-9999 , 29.5, 1005.8, 0.084, 0.009, 269, 7.2, 5.5 +25-Nov-2020 14:00, 6.459,-9999 , 29.3, 1005.9, 0.000,-0.074, 289, 6.8, 4.8 +25-Nov-2020 15:00, 5.760,-9999 , 29.2, 1005.9,-0.071,-0.144, 292, 6.3, 4.6 +25-Nov-2020 16:00, 5.089,-9999 , 29.2, 1005.7,-0.040,-0.113, 281, 6.2, 3.8 +25-Nov-2020 17:00, 4.547,-9999 , 29.0, 1005.1, 0.034,-0.042, 280, 6.8, 5.5 +25-Nov-2020 18:00, 4.176,-9999 , 29.0, 1004.7, 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1006.4, 0.141, 0.073, 10, 4.2, 2.7 +01-Dec-2020 21:00, 2.038, 30.7, 28.7, 1006.3, 0.183, 0.115, 328, 3.4, 3.0 +01-Dec-2020 22:00, 1.734, 30.7, 28.4, 1006.8, 0.160, 0.091, 338, 3.3, 0.9 +01-Dec-2020 23:00, 2.683, 30.7, 29.8, 1007.6, 0.184, 0.121, 358, 2.6, 1.6 +02-Dec-2020 00:00, 4.204, 30.6, 31.1, 1008.2, 0.145, 0.090, 0, 1.6, 0.0 +02-Dec-2020 01:00, 5.783, 30.6, 33.1, 1008.5, 0.045,-0.005, 0, 1.7, 0.0 +02-Dec-2020 02:00, 7.299, 30.6, 32.8, 1007.7,-0.083,-0.130, 207, 2.6, 2.3 +02-Dec-2020 03:00, 8.487, 30.7, 32.6, 1006.7,-0.076,-0.132, 182, 3.0, 2.4 +02-Dec-2020 04:00, 8.764, 30.7, 32.1, 1006.0,-0.039,-0.104, 246, 5.8, 4.6 +02-Dec-2020 05:00, 7.963, 30.9, 30.8, 1005.2,-0.057,-0.130, 258, 6.3, 5.4 +02-Dec-2020 06:00, 6.717, 31.1, 31.1, 1004.5,-0.010,-0.091, 279, 8.6, 7.5 +02-Dec-2020 07:00, 5.368,-9999 , 30.9, 1003.9, 0.057,-0.032, 269, 10.0, 7.6 +02-Dec-2020 08:00, 4.019,-9999 , 30.6, 1004.5, 0.165, 0.073, 302, 10.4, 8.7 +02-Dec-2020 09:00, 2.893,-9999 , 28.3, 1004.7, 0.211, 0.123, 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3.967, 29.5, 29.0, 1003.4,-0.028,-0.124, 254, 7.6, 5.4 +12-Dec-2020 09:00, 5.161, 29.7, 28.9, 1003.8, 0.051,-0.047, 259, 7.0, 5.3 +12-Dec-2020 10:00, 6.449, 29.7, 28.6, 1004.3, 0.100, 0.007, 258, 6.4, 3.8 +12-Dec-2020 11:00, 7.617, 29.6, 28.6, 1005.2, 0.113, 0.025, 265, 4.7, 2.9 +12-Dec-2020 12:00, 8.443,-9999 , 28.5, 1005.8, 0.111, 0.031, 263, 3.9, 2.6 +12-Dec-2020 13:00, 8.648,-9999 , 28.4, 1006.4, 0.131, 0.058, 266, 4.4, 2.7 +12-Dec-2020 14:00, 8.004,-9999 , 28.2, 1006.4, 0.040,-0.028, 271, 4.4, 2.8 +12-Dec-2020 15:00, 6.888,-9999 , 28.0, 1006.1, 0.016,-0.052, 267, 3.9, 2.8 +12-Dec-2020 16:00, 5.655,-9999 , 27.8, 1005.5, 0.074, 0.002, 254, 3.8, 2.2 +12-Dec-2020 17:00, 4.370,-9999 , 27.7, 1005.0, 0.100, 0.022, 274, 3.1, 2.3 +12-Dec-2020 18:00, 3.231,-9999 , 27.6, 1004.6, 0.108, 0.026, 260, 4.3, 2.8 +12-Dec-2020 19:00, 2.511,-9999 , 27.7, 1004.5, 0.050,-0.037, 257, 4.5, 3.4 +12-Dec-2020 20:00, 2.695,-9999 , 27.6, 1005.0, 0.087, 0.000, 262, 5.5, 3.8 +12-Dec-2020 21:00, 3.725,-9999 , 27.5, 1005.5, 0.134, 0.053, 290, 4.5, 2.3 +12-Dec-2020 22:00, 5.016,-9999 , 27.7, 1006.1, 0.092, 0.016, 275, 2.8, 2.0 +12-Dec-2020 23:00, 6.323,-9999 , 28.1, 1006.6, 0.039,-0.032, 289, 4.0, 2.6 +13-Dec-2020 00:00, 7.513,-9999 , 29.0, 1007.2, 0.022,-0.043, 244, 4.5, 2.7 +13-Dec-2020 01:00, 8.279,-9999 , 28.5, 1007.6, 0.114, 0.055, 248, 4.1, 2.6 +13-Dec-2020 02:00, 8.121,-9999 , 28.9, 1007.4, 0.085, 0.029, 256, 5.1, 3.1 +13-Dec-2020 03:00, 7.220,-9999 , 28.4, 1007.0, 0.035,-0.024, 266, 5.2, 3.2 +13-Dec-2020 04:00, 6.127,-9999 , 29.0, 1006.6, 0.109, 0.046, 247, 5.9, 3.4 +13-Dec-2020 05:00, 4.964,-9999 , 29.1, 1006.2, 0.133, 0.066, 260, 5.9, 3.7 +13-Dec-2020 06:00, 3.852,-9999 , 28.8, 1005.5, 0.105, 0.034, 283, 6.6, 4.0 +13-Dec-2020 07:00, 3.041,-9999 , 29.1, 1005.0, 0.037,-0.041, 292, 6.9, 4.9 +13-Dec-2020 08:00, 2.986,-9999 , 29.2, 1004.6, 0.042,-0.041, 281, 7.5, 5.2 +13-Dec-2020 09:00, 3.901,-9999 , 28.9, 1004.9, 0.084,-0.002, 282, 6.8, 5.1 +13-Dec-2020 10:00, 5.304,-9999 , 28.9, 1005.4, 0.066,-0.017, 284, 5.7, 4.5 +13-Dec-2020 11:00, 6.808,-9999 , 28.8, 1006.4, 0.081, 0.004, 276, 5.8, 4.1 +13-Dec-2020 12:00, 8.181,-9999 , 28.8, 1007.3, 0.083, 0.016, 265, 6.1, 4.2 +13-Dec-2020 13:00, 9.087,-9999 , 28.7, 1007.8, 0.090, 0.032, 256, 6.2, 4.5 +13-Dec-2020 14:00, 9.122,-9999 , 28.7, 1008.2, 0.085, 0.031, 253, 6.5, 5.0 +13-Dec-2020 15:00, 8.189,-9999 , 28.7, 1007.6, 0.017,-0.033, 238, 7.4, 4.9 +13-Dec-2020 16:00, 6.836,-9999 , 28.2, 1006.8, 0.058, 0.001, 234, 7.4, 5.0 +13-Dec-2020 17:00, 5.343,-9999 , 27.9, 1006.2, 0.094, 0.029, 225, 7.0, 4.9 +13-Dec-2020 18:00, 3.801,-9999 , 28.1, 1005.9, 0.085, 0.015, 231, 5.7, 3.6 +13-Dec-2020 19:00, 2.472,-9999 , 28.3, 1005.6, 0.060,-0.014, 225, 5.4, 4.4 +13-Dec-2020 20:00, 1.757,-9999 , 28.3, 1005.6, 0.016,-0.060, 186, 5.5, 3.3 +13-Dec-2020 21:00, 2.242,-9999 , 27.4, 1006.0, 0.075,-0.001, 170, 4.9, 3.8 +13-Dec-2020 22:00, 3.616, 29.7, 27.7, 1006.7, 0.114, 0.043, 166, 5.7, 4.4 +13-Dec-2020 23:00, 5.177, 29.8, 28.6, 1006.9, 0.080, 0.015, 174, 5.0, 2.4 +14-Dec-2020 00:00, 6.737, 29.7, 29.0, 1007.1, 0.032,-0.031, 170, 4.2, 3.1 +14-Dec-2020 01:00, 8.105, 29.8, 29.2, 1007.1, 0.049,-0.012, 190, 4.1, 2.9 +14-Dec-2020 02:00, 8.775, 29.8, 29.8, 1007.1, 0.102, 0.041, 211, 4.7, 3.4 +14-Dec-2020 03:00, 8.302, 29.9, 30.1, 1006.5, 0.013,-0.049, 237, 6.1, 4.6 +14-Dec-2020 04:00, 7.124, 30.0, 29.3, 1005.9,-0.041,-0.109, 248, 6.8, 5.0 +14-Dec-2020 05:00, 5.834, 30.1, 30.3, 1005.3, 0.009,-0.065, 233, 8.1, 6.3 +14-Dec-2020 06:00, 4.488, 30.1, 29.2, 1004.8,-0.001,-0.081, 247, 8.8, 7.1 +14-Dec-2020 07:00, 3.267, 30.1, 30.4, 1004.3,-0.025,-0.110, 236, 9.5, 7.0 +14-Dec-2020 08:00, 2.507, 30.3, 30.1, 1004.2,-0.009,-0.098, 231, 10.3, 8.0 +14-Dec-2020 09:00, 2.751, 30.1, 29.6, 1004.4, 0.086,-0.004, 222, 10.4, 8.9 +14-Dec-2020 10:00, 4.027, 30.1, 29.2, 1004.9, 0.132, 0.044, 227, 10.3, 8.2 +14-Dec-2020 11:00, 5.674, 30.1, 29.0, 1005.9, 0.108, 0.026, 232, 9.4, 6.6 +14-Dec-2020 12:00, 7.340, 30.1, 28.9, 1006.5, 0.081, 0.009, 219, 9.0, 7.8 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1006.3, 0.066, 0.001, 237, 7.0, 4.6 +15-Dec-2020 16:00, 9.162, 30.0, 28.7, 1005.6, 0.026,-0.044, 238, 7.5, 5.5 +15-Dec-2020 17:00, 7.702, 30.0, 28.7, 1005.0, 0.017,-0.059, 253, 7.6, 5.4 +15-Dec-2020 18:00, 6.073, 30.0, 28.8, 1004.4, 0.078,-0.005, 249, 7.6, 4.9 +15-Dec-2020 19:00, 4.323, 29.9, 28.7, 1004.2, 0.104, 0.015, 236, 7.8, 5.6 +15-Dec-2020 20:00, 2.641, 29.9, 28.6, 1004.4, 0.106, 0.016, 235, 8.3, 6.3 +15-Dec-2020 21:00, 1.427, 29.9, 28.4, 1004.6, 0.108, 0.020, 231, 7.7, 5.9 +15-Dec-2020 22:00, 1.403, 29.8, 28.7, 1005.5, 0.169, 0.084, 231, 7.8, 6.1 +15-Dec-2020 23:00, 2.607, 29.9, 29.3, 1005.9, 0.172, 0.096, 234, 8.2, 6.5 +16-Dec-2020 00:00, 4.259, 29.9, 29.6, 1006.2, 0.077, 0.004, 243, 8.7, 5.9 +16-Dec-2020 01:00, 6.053, 29.9, 29.9, 1006.4, 0.001,-0.068, 229, 8.7, 6.2 +16-Dec-2020 02:00, 7.813, 30.0, 30.0, 1006.1,-0.002,-0.070, 227, 8.5, 6.7 +16-Dec-2020 03:00, 9.031, 30.0, 30.1, 1005.5, 0.074, 0.002, 226, 9.4, 6.7 +16-Dec-2020 04:00, 9.010, 30.0, 29.5, 1004.9, 0.055,-0.022, 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6.474, 30.5, 28.9, 1005.2, 0.079,-0.007, 291, 6.0, 2.4 +24-Dec-2020 13:00, 6.012, 30.6, 28.4, 1006.0, 0.081, 0.002, 2, 3.8, 3.1 +24-Dec-2020 14:00, 5.549, 30.7, 26.2, 1006.4, 0.112, 0.041, 284, 8.6, 3.7 +24-Dec-2020 15:00, 5.109, 30.8, 27.5, 1006.2, 0.092, 0.024, 260, 4.4, 2.8 +24-Dec-2020 16:00, 4.758, 30.8, 27.8, 1005.5, 0.047,-0.024, 273, 3.8, 2.0 +24-Dec-2020 17:00, 4.625, 30.6, 28.3, 1004.8, 0.033,-0.045, 243, 2.2, 0.9 +24-Dec-2020 18:00, 4.782, 30.6, 28.4, 1004.6, 0.091, 0.007, 211, 2.3, 1.6 +24-Dec-2020 19:00, 5.134, 30.5, 28.4, 1004.4, 0.146, 0.059, 182, 3.4, 2.3 +24-Dec-2020 20:00, 5.552, 30.5, 28.8, 1004.7, 0.098, 0.010, 123, 4.4, 3.3 +24-Dec-2020 21:00, 5.987, 30.5, 28.1, 1005.1, 0.045,-0.039, 99, 5.6, 4.4 +24-Dec-2020 22:00, 6.354, 30.4, 28.3, 1005.6, 0.064,-0.017, 109, 5.5, 3.4 +24-Dec-2020 23:00, 6.526, 30.5, 28.6, 1006.2, 0.102, 0.026, 84, 6.1, 4.7 +25-Dec-2020 00:00, 6.415, 30.4, 29.1, 1006.7, 0.092, 0.023, 88, 6.7, 4.8 +25-Dec-2020 01:00, 6.073, 30.5, 30.0, 1006.7, 0.079, 0.014, 73, 5.7, 2.9 +25-Dec-2020 02:00, 5.640, 30.5, 31.7, 1006.5, 0.108, 0.042, 86, 4.5, 1.9 +25-Dec-2020 03:00, 5.186, 30.6, 32.2, 1005.8, 0.099, 0.031, 155, 2.4, 1.5 +25-Dec-2020 04:00, 4.800, 30.8, 32.0, 1005.2, 0.069,-0.006, 180, 3.4, 2.8 +25-Dec-2020 05:00, 4.645, 30.9, 30.4, 1004.6, 0.089, 0.009, 248, 6.9, 5.4 +25-Dec-2020 06:00, 4.786, 30.6, 29.9, 1003.9, 0.129, 0.043, 287, 9.1, 7.5 +25-Dec-2020 07:00, 5.162, 30.5, 29.9, 1003.4, 0.133, 0.040, 303, 9.2, 7.5 +25-Dec-2020 08:00, 5.752, 30.5, 30.1, 1003.4, 0.132, 0.034, 295, 9.9, 6.2 +25-Dec-2020 09:00, 6.395, 30.5, 30.0, 1003.9, 0.138, 0.041, 285, 8.3, 6.1 +25-Dec-2020 10:00, 6.896, 30.5, 29.9, 1004.5, 0.139, 0.046, 299, 8.1, 5.8 +25-Dec-2020 11:00, 7.200, 30.5, 29.8, 1005.7, 0.180, 0.094, 302, 7.2, 3.9 +25-Dec-2020 12:00, 7.173, 30.6, 29.8, 1006.6, 0.161, 0.087, 289, 4.8, 2.9 +25-Dec-2020 13:00, 6.785, 30.6, 29.6, 1006.8, 0.068, 0.002, 303, 5.0, 3.7 +25-Dec-2020 14:00, 6.246, 30.6, 29.5, 1007.4, 0.060,-0.004, 296, 4.4, 2.9 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5.201, 30.6, 30.1, 1005.7, 0.048,-0.018, 252, 5.9, 3.5 +26-Dec-2020 05:00, 4.718, 30.8, 29.8, 1005.0, 0.102, 0.026, 261, 6.5, 5.2 +26-Dec-2020 06:00, 4.483, 31.0, 30.2, 1004.1, 0.172, 0.090, 271, 8.2, 6.7 +26-Dec-2020 07:00, 4.564, 30.7, 30.3, 1003.5, 0.202, 0.111, 279, 8.9, 7.3 +26-Dec-2020 08:00, 5.001, 30.7, 30.3, 1003.1, 0.181, 0.083, 295, 9.4, 7.3 +26-Dec-2020 09:00, 5.703, 30.6, 30.3, 1003.1, 0.146, 0.045, 287, 9.2, 6.5 +26-Dec-2020 10:00, 6.479, 30.7, 30.1, 1003.9, 0.143, 0.043, 301, 8.2, 5.8 +26-Dec-2020 11:00, 7.124, 30.7, 29.7, 1004.5, 0.134, 0.042, 303, 6.1, 4.5 +26-Dec-2020 12:00, 7.498, 30.6, 29.8, 1005.3, 0.115, 0.028, 298, 6.8, 5.3 +26-Dec-2020 13:00, 7.497, 30.8, 29.7, 1006.2, 0.087, 0.009, 307, 5.9, 3.9 +26-Dec-2020 14:00, 7.103, 30.8, 29.7, 1006.7, 0.104, 0.035, 292, 5.5, 4.0 +26-Dec-2020 15:00, 6.425, 30.8, 29.5, 1006.4, 0.141, 0.076, 298, 5.6, 4.0 +26-Dec-2020 16:00, 5.625, 30.7, 29.4, 1005.6, 0.158, 0.090, 289, 6.0, 4.6 +26-Dec-2020 17:00, 4.781, 30.7, 29.4, 1005.3, 0.169, 0.093, 283, 6.9, 4.4 +26-Dec-2020 18:00, 4.040, 30.7, 29.3, 1004.9, 0.142, 0.063, 280, 5.8, 4.5 +26-Dec-2020 19:00, 3.671, 30.8, 29.1, 1004.5, 0.128, 0.045, 273, 6.0, 4.5 +26-Dec-2020 20:00, 3.868, 30.7, 29.2, 1005.2, 0.166, 0.080, 265, 5.8, 4.6 +26-Dec-2020 21:00, 4.494, 30.7, 29.3, 1005.7, 0.158, 0.078, 264, 5.9, 3.3 +26-Dec-2020 22:00, 5.309, 30.6, 29.3, 1006.4, 0.116, 0.041, 254, 5.2, 4.0 +26-Dec-2020 23:00, 6.189, 30.6, 29.6, 1006.9, 0.102, 0.035, 254, 5.1, 3.4 +27-Dec-2020 00:00, 6.907, 30.6, 30.7, 1007.2, 0.079, 0.017, 227, 5.2, 3.4 +27-Dec-2020 01:00, 7.287, 30.6, 30.5, 1007.2, 0.061, 0.001, 240, 4.4, 2.2 +27-Dec-2020 02:00, 7.160, 30.7, 30.4, 1006.8, 0.056,-0.005, 227, 4.8, 3.4 +27-Dec-2020 03:00, 6.548, 30.7, 30.1, 1006.5, 0.032,-0.033, 243, 5.2, 3.2 +27-Dec-2020 04:00, 5.763, 30.8, 29.8, 1005.6, 0.011,-0.057, 260, 6.8, 4.9 +27-Dec-2020 05:00, 5.016, 31.1, 30.0, 1004.8, 0.064,-0.012, 270, 7.4, 5.1 +27-Dec-2020 06:00, 4.383, 31.2, 29.8, 1004.2, 0.120, 0.035, 259, 7.8, 5.4 +27-Dec-2020 07:00, 4.035, 31.0, 30.3, 1003.4, 0.127, 0.036, 258, 8.0, 5.9 +27-Dec-2020 08:00, 4.204, 30.9, 30.1, 1002.8, 0.142, 0.043, 269, 8.5, 6.0 +27-Dec-2020 09:00, 4.872, 30.8, 30.0, 1002.9, 0.121, 0.018, 248, 8.5, 6.2 +27-Dec-2020 10:00, 5.800, 30.9, 29.8, 1003.1, 0.103, 0.000, 277, 8.4, 6.8 +27-Dec-2020 11:00, 6.745, 30.9, 29.7, 1004.0, 0.083,-0.017, 285, 8.5, 5.5 +27-Dec-2020 12:00, 7.526, 30.8, 29.6, 1004.5, 0.072,-0.019, 289, 6.9, 5.4 +27-Dec-2020 13:00, 7.964, 30.9, 29.6, 1005.4, 0.084,-0.002, 277, 8.4, 5.1 +27-Dec-2020 14:00, 7.837, 31.0, 29.5, 1005.8, 0.070,-0.007, 279, 6.6, 4.2 +27-Dec-2020 15:00, 7.162, 30.9, 29.3, 1005.4, 0.064,-0.010, 295, 6.5, 4.8 +27-Dec-2020 16:00, 6.209, 30.8, 29.2, 1004.5, 0.067,-0.012, 300, 6.0, 3.9 +27-Dec-2020 17:00, 5.159, 30.8, 29.3, 1004.1, 0.089, 0.002, 275, 5.8, 4.4 +27-Dec-2020 18:00, 4.168, 30.7, 29.2, 1003.7, 0.165, 0.074, 276, 8.1, 5.7 +27-Dec-2020 19:00, 3.401, 30.8, 29.2, 1003.9, 0.184, 0.089, 259, 7.2, 4.5 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4.062, 31.2, 30.1, 1002.5, 0.151, 0.037, 269, 9.8, 7.0 +28-Dec-2020 10:00, 5.066, 31.0, 30.0, 1003.0, 0.167, 0.060, 267, 8.7, 6.5 +28-Dec-2020 11:00, 6.215, 31.0, 29.9, 1004.1, 0.143, 0.043, 275, 8.5, 5.7 +28-Dec-2020 12:00, 7.279, 31.0, 29.7, 1004.5, 0.070,-0.022, 276, 8.0, 4.8 +28-Dec-2020 13:00, 8.116, 31.0, 29.8, 1005.9, 0.066,-0.019, 266, 8.0, 5.1 +28-Dec-2020 14:00, 8.436, 31.0, 29.7, 1005.9, 0.090, 0.017, 283, 6.1, 3.9 +28-Dec-2020 15:00, 7.975, 31.0, 29.9, 1006.7, 0.053,-0.019, 296, 4.8, 2.4 +28-Dec-2020 16:00, 6.936, 30.9, 25.9, 1006.4,-0.010,-0.075, 92, 16.2, 11.8 +28-Dec-2020 17:00, 5.729, 30.9, 25.7, 1004.8,-0.019,-0.089, 265, 13.0, 4.5 +28-Dec-2020 18:00, 4.549, 30.8, 27.0, 1004.4, 0.107, 0.023, 280, 6.2, 3.6 +28-Dec-2020 19:00, 3.463, 30.9, 27.1, 1003.6, 0.195, 0.106, 321, 5.4, 2.4 +28-Dec-2020 20:00, 2.725, 30.9, 27.6, 1004.2, 0.165, 0.070, 237, 6.4, 3.5 +28-Dec-2020 21:00, 2.773, 30.9, 28.0, 1004.3, 0.137, 0.047, 243, 4.1, 1.9 +28-Dec-2020 22:00, 3.641, 30.9, 28.2, 1005.2, 0.159, 0.071, 216, 6.1, 3.0 +28-Dec-2020 23:00, 4.825, 30.9, 27.0, 1005.8, 0.141, 0.061, 58, 4.9, 2.9 +29-Dec-2020 00:00, 6.058, 30.9, 27.6, 1006.1, 0.054,-0.020, 91, 5.4, 4.5 +29-Dec-2020 01:00, 7.212, 30.8, 27.6, 1006.4, 0.003,-0.068, 90, 5.8, 3.9 +29-Dec-2020 02:00, 8.001, 30.9, 26.4, 1006.5, 0.029,-0.039, 133, 8.6, 2.0 +29-Dec-2020 03:00, 7.986, 30.9, 27.2, 1006.2, 0.003,-0.064, 286, 5.1, 0.8 +29-Dec-2020 04:00, 7.213, 30.9, 27.6, 1005.3,-0.046,-0.116, 301, 6.7, 3.3 +29-Dec-2020 05:00, 6.222, 30.9, 28.7, 1004.2, 0.017,-0.063, 257, 4.3, 3.4 +29-Dec-2020 06:00, 5.179, 30.9, 28.9, 1003.3, 0.144, 0.052, 261, 5.7, 4.0 +29-Dec-2020 07:00, 4.145, 30.9, 29.3, 1002.9, 0.206, 0.106, 259, 5.5, 3.6 +29-Dec-2020 08:00, 3.385, 31.0, 29.2, 1002.8, 0.167, 0.065, 268, 4.4, 2.6 +29-Dec-2020 09:00, 3.288, 31.1, 29.0, 1002.9, 0.098,-0.006, 257, 4.1, 2.1 +29-Dec-2020 10:00, 4.108, 31.0, 29.1, 1003.8, 0.099,-0.003, 314, 3.8, 0.9 +29-Dec-2020 11:00, 5.393, 31.0, 29.1, 1004.6, 0.108, 0.015, 315, 2.8, 0.0 +29-Dec-2020 12:00, 6.715, 30.9, 29.1, 1005.5, 0.055,-0.030, 310, 2.4, 1.9 +29-Dec-2020 13:00, 7.895, 30.9, 29.1, 1006.0, 0.009,-0.067, 351, 3.0, 2.6 +29-Dec-2020 14:00, 8.667, 30.9, 28.6, 1006.2, 0.039,-0.032, 332, 3.5, 1.8 +29-Dec-2020 15:00, 8.672, 30.9, 29.2, 1005.8, 0.063,-0.007, 302, 2.6, 2.1 +29-Dec-2020 16:00, 7.807, 30.9, 29.2, 1005.3, 0.015,-0.059, 293, 3.4, 2.4 +29-Dec-2020 17:00, 6.582, 30.9, 29.2, 1004.7, 0.027,-0.053, 285, 4.3, 3.2 +29-Dec-2020 18:00, 5.251, 30.9, 29.3, 1004.5, 0.104, 0.019, 277, 5.2, 4.0 +29-Dec-2020 19:00, 3.901, 30.9, 29.5, 1004.7, 0.206, 0.119, 248, 5.7, 3.8 +29-Dec-2020 20:00, 2.749, 30.9, 29.5, 1004.6, 0.199, 0.114, 236, 5.5, 4.2 +29-Dec-2020 21:00, 2.204, 30.9, 29.3, 1005.3, 0.109, 0.024, 228, 5.5, 4.1 +29-Dec-2020 22:00, 2.754, 31.0, 29.7, 1006.0, 0.137, 0.059, 203, 5.8, 4.7 +29-Dec-2020 23:00, 3.990, 30.9, 30.1, 1006.1, 0.180, 0.108, 160, 5.4, 2.7 +30-Dec-2020 00:00, 5.345, 30.9, 30.7, 1006.5, 0.114, 0.043, 173, 4.9, 2.8 +30-Dec-2020 01:00, 6.733, 30.9, 30.8, 1006.5, 0.037,-0.030, 182, 5.9, 4.5 +30-Dec-2020 02:00, 7.935, 30.9, 31.3, 1006.4, 0.055,-0.012, 210, 7.1, 4.5 +30-Dec-2020 03:00, 8.475, 30.9, 32.0, 1005.8, 0.087, 0.019, 224, 5.1, 3.0 +30-Dec-2020 04:00, 8.002, 31.0, 31.4, 1005.0, 0.017,-0.058, 243, 5.1, 3.6 +30-Dec-2020 05:00, 6.958, 31.2, 32.0, 1004.2,-0.009,-0.091, 223, 6.8, 5.9 +30-Dec-2020 06:00, 5.790, 31.4, 32.2, 1003.1, 0.052,-0.040, 222, 8.4, 6.1 +30-Dec-2020 07:00, 4.575, 31.5, 32.2, 1002.5, 0.141, 0.040, 227, 7.9, 6.8 +30-Dec-2020 08:00, 3.530, 31.6, 31.4, 1001.7, 0.199, 0.091, 252, 7.7, 4.8 +30-Dec-2020 09:00, 2.963, 31.6, 31.4, 1002.0, 0.182, 0.067, 245, 7.3, 5.0 +30-Dec-2020 10:00, 3.332, 31.4, 31.0, 1002.8, 0.167, 0.056, 234, 7.5, 5.7 +30-Dec-2020 11:00, 4.541, 31.2, 30.6, 1004.0, 0.164, 0.061, 267, 7.3, 4.8 +30-Dec-2020 12:00, 5.969, 31.2, 30.6, 1004.5, 0.091, 0.000, 256, 7.0, 5.2 +30-Dec-2020 13:00, 7.392, 31.2, 30.8, 1004.8, 0.014,-0.073, 253, 6.6, 4.6 +30-Dec-2020 14:00, 8.583, 31.1, 30.7, 1005.1, 0.029,-0.054, 278, 5.7, 3.5 +30-Dec-2020 15:00, 9.087, 31.0, 30.8, 1004.8, 0.065,-0.016, 273, 4.5, 3.2 +30-Dec-2020 16:00, 8.625, 31.1, 30.6, 1004.5, 0.067,-0.017, 262, 4.3, 3.2 +30-Dec-2020 17:00, 7.433, 31.1, 30.6, 1004.3, 0.042,-0.045, 248, 4.8, 3.8 +30-Dec-2020 18:00, 6.013, 31.1, 30.1, 1003.7, 0.038,-0.051, 231, 6.0, 4.9 +30-Dec-2020 19:00, 4.536, 31.0, 30.1, 1004.0, 0.113, 0.019, 235, 6.9, 4.5 +30-Dec-2020 20:00, 3.167, 31.1, 30.1, 1004.2, 0.209, 0.117, 240, 6.3, 3.2 +30-Dec-2020 21:00, 2.155, 31.2, 29.8, 1005.0, 0.168, 0.079, 277, 4.5, 2.3 +30-Dec-2020 22:00, 2.065, 31.3, 30.4, 1005.9, 0.112, 0.031, 247, 4.3, 3.1 +30-Dec-2020 23:00, 3.093,-9999 , 31.0, 1006.5, 0.160, 0.088, 231, 5.0, 3.5 +31-Dec-2020 00:00, 4.521,-9999 , 31.4, 1007.0, 0.153, 0.087, 225, 5.5, 3.9 +31-Dec-2020 01:00, 6.011,-9999 , 31.9, 1006.9, 0.074, 0.012, 221, 4.9, 3.2 +31-Dec-2020 02:00, 7.443,-9999 , 32.1, 1006.6, 0.011,-0.053, 236, 5.2, 3.5 +31-Dec-2020 03:00, 8.486,-9999 , 32.0, 1006.0, 0.056,-0.011, 227, 6.2, 5.1 +31-Dec-2020 04:00, 8.553,-9999 , 31.8, 1005.3, 0.033,-0.040, 224, 6.8, 5.7 +31-Dec-2020 05:00, 7.663,-9999 , 31.4, 1005.0,-0.045,-0.124, 241, 7.2, 4.2 +31-Dec-2020 06:00, 6.461,-9999 , 32.6, 1004.3,-0.035,-0.118, 229, 7.3, 5.6 +31-Dec-2020 07:00, 5.199,-9999 , 31.2, 1003.0, 0.056,-0.034, 253, 8.4, 6.2 +31-Dec-2020 08:00, 3.964,-9999 , 31.8, 1003.3, 0.166, 0.063, 223, 11.5, 9.6 +31-Dec-2020 09:00, 2.943,-9999 , 31.1, 1004.9, 0.140, 0.044, 117, 13.9, 9.0 +31-Dec-2020 10:00, 2.649,-9999 , 30.1, 1003.5, 0.061,-0.023, 277, 8.0, 2.5 +31-Dec-2020 11:00, 3.560,-9999 , 30.7, 1004.3, 0.103, 0.007, 288, 4.7, 4.0 +31-Dec-2020 12:00, 5.081,-9999 , 30.6, 1005.0, 0.117, 0.028, 299, 4.4, 3.4 +31-Dec-2020 13:00, 6.675,-9999 , 30.6, 1005.8, 0.075,-0.006, 252, 4.8, 3.7 +31-Dec-2020 14:00, 8.153,-9999 , 30.5, 1006.2, 0.050,-0.024, 261, 6.1, 4.1 +31-Dec-2020 15:00, 9.112,-9999 , 30.4, 1006.5, 0.048,-0.021, 243, 6.6, 4.3 +31-Dec-2020 16:00, 9.146,-9999 , 30.4, 1006.1, 0.042,-0.026, 226, 7.7, 6.5 +31-Dec-2020 17:00, 8.201,-9999 , 30.3, 1005.4, 0.013,-0.058, 235, 7.5, 5.7 +31-Dec-2020 18:00, 6.806,-9999 , 30.4, 1005.0, 0.005,-0.073, 251, 7.5, 5.8 +31-Dec-2020 19:00, 5.319,-9999 , 30.3, 1005.1, 0.040,-0.042, 227, 7.5, 6.1 +31-Dec-2020 20:00, 3.817,-9999 , 30.6, 1005.4, 0.133, 0.052, 222, 7.7, 6.7 +31-Dec-2020 21:00, 2.526,-9999 , 30.8, 1005.9, 0.182, 0.105, 208, 9.0, 7.5 +31-Dec-2020 22:00, 1.819,-9999 , 30.6, 1006.3, 0.116, 0.043, 220, 8.4, 5.6 +31-Dec-2020 23:00, 2.273,-9999 , 31.0, 1006.5, 0.089, 0.021, 232, 6.7, 4.3 diff --git a/tests/data/broome-62650-aus-bom b/tests/data/broome-62650-aus-bom new file mode 100644 index 0000000..4b90bd8 --- /dev/null +++ b/tests/data/broome-62650-aus-bom @@ -0,0 +1,17098 @@ +# FORMAT VERSION 5.0 Web: https://gesla.org Email: gesla.help@gmail.com +# SITE NAME Broome +# SITE CODE 62650 +# COUNTRY AUS +# CONTRIBUTOR Bureau of Meteorology +# CONTRIBUTOR WEBSITE http://www.bom.gov.au/oceanography/projects/ntc/monthly/ +# CONTRIBUTOR CONTACT tides@bom.gov.au +# ORGINATOR Australian Bureau of Meteorology +# ORIGINATOR WEBSITE http://www.bom.gov.au/oceanography/projects/ntc/monthly/ +# ORIGINATOR CONTACT tides@bom.gov.au +# LATITUDE -18.00080000 +# LONGITUDE 122.21860000 +# COORDINATE SYSTEM GDA +# START DATE/TIME 1966/07/02 00:00:00 +# END DATE/TIME 2019/12/31 23:00:00 +# NUMBER OF YEARS 51 +# TIME ZONE HOURS 0 +# DATUM INFORMATION Chart Datum / Lowest Astronomical Tide +# INSTRUMENT Unspecified +# PRECISION Unspecified +# NULL VALUE -99.9999 +# GAUGE TYPE Coastal +# OVERALL RECORD QUALITY No obvious issues +# +# CREATION DATE UTC 2021/11/02 +# +# COLUMN 1 Date yyyy/mm/dd +# COLUMN 2 Time hh:mm:ss +# COLUMN 3 Observed sea level (m) +# COLUMN 4 Observed sea level QC flag +# COLUMN 5 Use-in-analysis flag (1 = use, 0 = do not use) +# +# Quality-control (QC) flags for column 4 +# +# 0 - no quality control +# 1 - correct value +# 2 - interpolated value +# 3 - doubtful value +# 4 - isolated spike or wrong value +# 5 - missing value +# +2017/01/01 00:00:00 2.8150 1 1 +2017/01/01 01:00:00 4.4370 1 1 +2017/01/01 02:00:00 6.1290 1 1 +2017/01/01 03:00:00 7.7290 1 1 +2017/01/01 04:00:00 8.8120 1 1 +2017/01/01 05:00:00 8.7490 1 1 +2017/01/01 06:00:00 7.6970 1 1 +2017/01/01 07:00:00 6.3670 1 1 +2017/01/01 08:00:00 4.9610 1 1 +2017/01/01 09:00:00 3.5560 1 1 +2017/01/01 10:00:00 2.4230 1 1 +2017/01/01 11:00:00 2.1510 1 1 +2017/01/01 12:00:00 3.1550 1 1 +2017/01/01 13:00:00 4.7890 1 1 +2017/01/01 14:00:00 6.5010 1 1 +2017/01/01 15:00:00 8.0520 1 1 +2017/01/01 16:00:00 9.0820 1 1 +2017/01/01 17:00:00 9.0810 1 1 +2017/01/01 18:00:00 8.0410 1 1 +2017/01/01 19:00:00 6.6010 1 1 +2017/01/01 20:00:00 5.0580 1 1 +2017/01/01 21:00:00 3.4860 1 1 +2017/01/01 22:00:00 2.1490 1 1 +2017/01/01 23:00:00 1.5210 1 1 +2017/01/02 00:00:00 2.1900 1 1 +2017/01/02 01:00:00 3.6850 1 1 +2017/01/02 02:00:00 5.3110 1 1 +2017/01/02 03:00:00 6.8930 1 1 +2017/01/02 04:00:00 8.2540 1 1 +2017/01/02 05:00:00 8.8780 1 1 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Unspecified +# START DATE/TIME 1906/01/21 08:00:00 +# END DATE/TIME 2018/12/31 23:00:00 +# NUMBER OF YEARS 113 +# TIME ZONE HOURS 0 +# DATUM INFORMATION Unspecified +# INSTRUMENT Unspecified +# PRECISION Unspecified +# NULL VALUE -99.9999 +# GAUGE TYPE Coastal +# OVERALL RECORD QUALITY No obvious issues +# +# CREATION DATE UTC 2021/11/02 +# +# COLUMN 1 Date yyyy/mm/dd +# COLUMN 2 Time hh:mm:ss +# COLUMN 3 Observed sea level (m) +# COLUMN 4 Observed sea level QC flag +# COLUMN 5 Use-in-analysis flag (1 = use, 0 = do not use) +# +# Quality-control (QC) flags for column 4 +# +# 0 - no quality control +# 1 - correct value +# 2 - interpolated value +# 3 - doubtful value +# 4 - isolated spike or wrong value +# 5 - missing value +# +2018/01/01 00:00:00 1.2190 1 1 +2018/01/01 01:00:00 1.5960 1 1 +2018/01/01 02:00:00 1.9770 1 1 +2018/01/01 03:00:00 2.3450 1 1 +2018/01/01 04:00:00 2.5830 1 1 +2018/01/01 05:00:00 2.5870 1 1 +2018/01/01 06:00:00 2.3940 1 1 +2018/01/01 07:00:00 2.1470 1 1 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ORIGINATOR CONTACT tides@bom.gov.au +# LATITUDE -33.85470000 +# LONGITUDE 151.22580000 +# COORDINATE SYSTEM GDA +# START DATE/TIME 1914/05/31 14:00:00 +# END DATE/TIME 2019/12/31 23:00:00 +# NUMBER OF YEARS 105 +# TIME ZONE HOURS 0 +# DATUM INFORMATION Chart Datum / Lowest Astronomical Tide +# INSTRUMENT Unspecified +# PRECISION Unspecified +# NULL VALUE -99.9999 +# GAUGE TYPE Coastal +# OVERALL RECORD QUALITY No obvious issues +# +# CREATION DATE UTC 2021/11/02 +# +# COLUMN 1 Date yyyy/mm/dd +# COLUMN 2 Time hh:mm:ss +# COLUMN 3 Observed sea level (m) +# COLUMN 4 Observed sea level QC flag +# COLUMN 5 Use-in-analysis flag (1 = use, 0 = do not use) +# +# Quality-control (QC) flags for column 4 +# +# 0 - no quality control +# 1 - correct value +# 2 - interpolated value +# 3 - doubtful value +# 4 - isolated spike or wrong value +# 5 - missing value +# +2018/01/01 00:00:00 1.4760 1 1 +2018/01/01 01:00:00 1.0610 1 1 +2018/01/01 02:00:00 0.7130 1 1 +2018/01/01 03:00:00 0.4890 1 1 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http://www.bom.gov.au/oceanography/projects/abslmp/data/data.shtml + """ + # Metadata for Broome ABSLMP tidal station: + # http://www.bom.gov.au/oceanography/projects/abslmp/data/data.shtml + ahd_offset = -5.322 + + # Load measured tides from ABSLMP tide gauge data + measured_tides_df = pd.read_csv( + "tests/data/IDO71013_2020.csv", + index_col=0, + parse_dates=True, + na_values=-9999, + )[["Sea Level"]] + + # Update index and column names + measured_tides_df.index.name = "time" + measured_tides_df.columns = ["tide_m"] + + # Apply station AHD offset + measured_tides_df += ahd_offset + + # Return as xarray dataset + return measured_tides_df.to_xarray() + + +# Create test data in different CRSs and resolutions +@pytest.fixture( + params=[ + ("EPSG:3577", 30), # Australian Albers 30 m pixels + ("EPSG:4326", 0.00025), # WGS84, 0.0025 degree pixels + ], + ids=["satellite_ds_epsg3577", "satellite_ds_epsg4326"], +) +def satellite_ds(request): + """ + Load a sample timeseries of Landsat 8 data using odc-stac + """ + # Obtain CRS and resolution params + crs, res = request.param + + # Connect to stac catalogue + catalog = pystac_client.Client.open("https://explorer.dea.ga.gov.au/stac") + + # Set cloud defaults + odc.stac.configure_rio( + cloud_defaults=True, + aws={"aws_unsigned": True}, + ) + + # Build a query with the parameters above + bbox = [GAUGE_X - 0.08, GAUGE_Y - 0.08, GAUGE_X + 0.08, GAUGE_Y + 0.08] + query = catalog.search( + bbox=bbox, + collections=["ga_ls8c_ard_3"], + datetime="2020-01/2020-02", + ) + + # Search the STAC catalog for all items matching the query + ds = odc.stac.load( + list(query.items()), + bands=["nbart_red"], + crs=crs, + resolution=res, + groupby="solar_day", + bbox=bbox, + fail_on_error=False, + chunks={}, + ) + + return ds + + +# Run test for multiple input coordinates, CRSs and interpolation methods +@pytest.mark.parametrize( + "x, y, crs, method", + [ + (GAUGE_X, GAUGE_Y, "EPSG:4326", "bilinear"), # WGS84, bilinear interp + (GAUGE_X, GAUGE_Y, "EPSG:4326", "spline"), # WGS84, spline interp + ( + -1034913, + -1961916, + "EPSG:3577", + "bilinear", + ), # Australian Albers, bilinear interp + ], +) +def test_model_tides(measured_tides_ds, x, y, crs, method): + # Run FES2014 tidal model for locations and timesteps in tide gauge data + modelled_tides_df = model_tides( + x=[x], + y=[y], + time=measured_tides_ds.time, + crs=crs, + method=method, + ) + + # Compare measured and modelled tides + val_stats = eval_metrics(x=measured_tides_ds.tide_m, y=modelled_tides_df.tide_m) + + # Test that modelled tides contain correct headings and have same + # number of timesteps + assert modelled_tides_df.index.names == ["time", "x", "y"] + assert modelled_tides_df.columns.tolist() == ["tide_model", "tide_m"] + assert len(modelled_tides_df.index) == len(measured_tides_ds.time) + + # Test that modelled tides meet expected accuracy + assert val_stats["Correlation"] > 0.99 + assert val_stats["RMSE"] < 0.26 + assert val_stats["R-squared"] > 0.96 + assert abs(val_stats["Bias"]) < 0.20 + + +# Run tests for one or multiple models, and long and wide format outputs +@pytest.mark.parametrize( + "models, output_format", + [ + (["FES2014"], "long"), + (["FES2014"], "wide"), + (["FES2014", "HAMTIDE11"], "long"), + (["FES2014", "HAMTIDE11"], "wide"), + ], + ids=[ + "single_model_long", + "single_model_wide", + "multiple_models_long", + "multiple_models_wide", + ], +) +def test_model_tides_multiplemodels(measured_tides_ds, models, output_format): + # Model tides for one or multiple tide models and output formats + modelled_tides_df = model_tides( + x=[GAUGE_X], + y=[GAUGE_Y], + time=measured_tides_ds.time, + model=models, + output_format=output_format, + ) + + if output_format == "long": + # Verify output has correct columns + assert modelled_tides_df.index.names == ["time", "x", "y"] + assert modelled_tides_df.columns.tolist() == ["tide_model", "tide_m"] + + # Verify tide model column contains correct values + assert modelled_tides_df.tide_model.unique().tolist() == models + + # Verify that dataframe has length of original timesteps multipled by + # n models + assert len(modelled_tides_df.index) == len(measured_tides_ds.time) * len(models) + + elif output_format == "wide": + # Verify output has correct columns + assert modelled_tides_df.index.names == ["time", "x", "y"] + assert modelled_tides_df.columns.tolist() == models + + # Verify output has same length as orginal timesteps + assert len(modelled_tides_df.index) == len(measured_tides_ds.time) + + +# Run tests for each unit, providing expected outputs +@pytest.mark.parametrize( + "units, expected_range, expected_dtype", + [("m", 10, "float32"), ("cm", 1000, "int16"), ("mm", 10000, "int16")], + ids=["metres", "centimetres", "millimetres"], +) +def test_model_tides_units(measured_tides_ds, units, expected_range, expected_dtype): + # Model tides + modelled_tides_df = model_tides( + x=[GAUGE_X], + y=[GAUGE_Y], + time=measured_tides_ds.time, + output_units=units, + ) + + # Calculate tide range + tide_range = modelled_tides_df.tide_m.max() - modelled_tides_df.tide_m.min() + + # Verify tide range and dtypes are as expected for unit + assert np.isclose(tide_range, expected_range, rtol=0.01) + assert modelled_tides_df.tide_m.dtype == expected_dtype + + +# Run test for each combination of mode, output format, and one or +# multiple tide models +@pytest.mark.parametrize( + "mode, models, output_format", + [ + ("one-to-many", ["FES2014"], "long"), + ("one-to-one", ["FES2014"], "long"), + ("one-to-many", ["FES2014"], "wide"), + ("one-to-one", ["FES2014"], "wide"), + ("one-to-many", ["FES2014", "HAMTIDE11"], "long"), + ("one-to-one", ["FES2014", "HAMTIDE11"], "long"), + ("one-to-many", ["FES2014", "HAMTIDE11"], "wide"), + ("one-to-one", ["FES2014", "HAMTIDE11"], "wide"), + ], +) +def test_model_tides_mode(mode, models, output_format): + # Input params + x = [122.14, 122.30, 122.12] + y = [-17.91, -17.92, -18.07] + times = pd.date_range("2020", "2021", periods=3) + + # Model tides + modelled_tides_df = model_tides( + x=x, + y=y, + time=times, + mode=mode, + output_format=output_format, + model=models, + ) + + if mode == "one-to-one": + if output_format == "wide": + # Should have the same number of rows as input x, y, times + assert len(modelled_tides_df.index) == len(x) + assert len(modelled_tides_df.index) == len(times) + + # Output indexes should match order of input x, y, times + assert all(modelled_tides_df.index.get_level_values("time") == times) + assert all(modelled_tides_df.index.get_level_values("x") == x) + assert all(modelled_tides_df.index.get_level_values("y") == y) + + elif output_format == "long": + # In "long" format, the number of x, y points multiplied by + # the number of tide models + assert len(modelled_tides_df.index) == len(x) * len(models) + + # Verify index values match expected x, y, time order + assert all(modelled_tides_df.index.get_level_values("time") == np.tile(times, len(models))) + assert all(modelled_tides_df.index.get_level_values("x") == np.tile(x, len(models))) + assert all(modelled_tides_df.index.get_level_values("y") == np.tile(y, len(models))) + + if mode == "one-to-many": + if output_format == "wide": + # In "wide" output format, the number of rows should equal + # the number of x, y points multiplied by timesteps + assert len(modelled_tides_df.index) == len(x) * len(times) + + # TODO: Work out what order rows should be returned in in + # "one-to-many" and "wide" mode + + elif output_format == "long": + # In "long" output format, the number of rows should equal + # the number of x, y points multiplied by timesteps and + # the number of tide models + assert len(modelled_tides_df.index) == len(x) * len(times) * len(models) + + # Verify index values match expected x, y, time order + assert all(modelled_tides_df.index.get_level_values("time") == np.tile(times, len(x) * len(models))) + assert all(modelled_tides_df.index.get_level_values("x") == np.tile(np.repeat(x, len(times)), len(models))) + assert all(modelled_tides_df.index.get_level_values("y") == np.tile(np.repeat(y, len(times)), len(models))) + + +# Test ensemble modelling functionality +def test_model_tides_ensemble(): + # Input params + x = [122.14, 144.910368] + y = [-17.91, -37.919491] + times = pd.date_range("2020", "2021", periods=2) + + # Default, only ensemble requested + modelled_tides_df = model_tides( + x=x, + y=y, + time=times, + model="ensemble", + ensemble_models=ENSEMBLE_MODELS, + ) + + assert modelled_tides_df.index.names == ["time", "x", "y"] + assert modelled_tides_df.columns.tolist() == ["tide_model", "tide_m"] + assert all(modelled_tides_df.tide_model == "ensemble") + + # Default, ensemble + other models requested + models = ["FES2014", "HAMTIDE11", "ensemble"] + modelled_tides_df = model_tides( + x=x, + y=y, + time=times, + model=models, + ensemble_models=ENSEMBLE_MODELS, + ) + + assert modelled_tides_df.index.names == ["time", "x", "y"] + assert modelled_tides_df.columns.tolist() == ["tide_model", "tide_m"] + assert set(modelled_tides_df.tide_model) == set(models) + assert np.allclose( + modelled_tides_df.tide_m, + [ + -2.831, + -1.897, + -0.207, + 0.035, + -2.655, + -1.772, + 0.073, + -0.071, + -2.743, + -1.835, + -0.067, + -0.018, + ], + atol=0.02, + ) + + # One-to-one mode + modelled_tides_df = model_tides( + x=x, + y=y, + time=times, + model=models, + mode="one-to-one", + ensemble_models=ENSEMBLE_MODELS, + ) + + assert modelled_tides_df.index.names == ["time", "x", "y"] + assert modelled_tides_df.columns.tolist() == ["tide_model", "tide_m"] + assert set(modelled_tides_df.tide_model) == set(models) + + # Wide mode, default + modelled_tides_df = model_tides( + x=x, + y=y, + time=times, + model=models, + output_format="wide", + ensemble_models=ENSEMBLE_MODELS, + ) + + # Check that expected models exist, and that ensemble is approx average + # of other two models + assert set(modelled_tides_df.columns) == set(models) + assert np.allclose( + 0.5 * (modelled_tides_df.FES2014 + modelled_tides_df.HAMTIDE11), + modelled_tides_df.ensemble, + ) + + # Wide mode, top n == 1 + modelled_tides_df = model_tides( + x=x, + y=y, + time=times, + model=models, + output_format="wide", + ensemble_top_n=1, + ensemble_models=ENSEMBLE_MODELS, + ) + + # Check that expected models exist, and that ensemble is equal to at + # least one of the other models + assert set(modelled_tides_df.columns) == set(models) + assert all( + (modelled_tides_df.FES2014 == modelled_tides_df.ensemble) + | (modelled_tides_df.HAMTIDE11 == modelled_tides_df.ensemble) + ) + + # Check that correct model is the closest at each row + closer_model = modelled_tides_df.apply( + lambda row: ( + "FES2014" + if abs(row["ensemble"] - row["FES2014"]) < abs(row["ensemble"] - row["HAMTIDE11"]) + else "HAMTIDE11" + ), + axis=1, + ).tolist() + assert closer_model == ["FES2014", "HAMTIDE11", "FES2014", "HAMTIDE11"] + + # Check values are expected + assert np.allclose(modelled_tides_df.ensemble, [-2.830, 0.073, -1.900, -0.072], atol=0.02) + + # Wide mode, custom functions + ensemble_funcs = { + "ensemble-best": lambda x: x["rank"] == 1, + "ensemble-worst": lambda x: x["rank"] == 2, + "ensemble-mean-top2": lambda x: x["rank"].isin([1, 2]), + "ensemble-mean-weighted": lambda x: 3 - x["rank"], + "ensemble-mean": lambda x: x["rank"] <= 2, + } + modelled_tides_df = model_tides( + x=x, + y=y, + time=times, + model=models, + output_format="wide", + ensemble_func=ensemble_funcs, + ensemble_models=ENSEMBLE_MODELS, + ) + + # Check that expected models exist, and that valid data is produced + assert set(modelled_tides_df.columns) == set([ + "FES2014", + "HAMTIDE11", + "ensemble-best", + "ensemble-worst", + "ensemble-mean-top2", + "ensemble-mean-weighted", + "ensemble-mean", + ]) + assert all(modelled_tides_df.notnull()) + + # Long mode, custom functions + modelled_tides_df = model_tides( + x=x, + y=y, + time=times, + model=models, + output_format="long", + ensemble_func=ensemble_funcs, + ensemble_models=ENSEMBLE_MODELS, + ) + + # Check that expected models exist in "tide_model" column + assert set(modelled_tides_df.tide_model) == set([ + "FES2014", + "HAMTIDE11", + "ensemble-best", + "ensemble-worst", + "ensemble-mean-top2", + "ensemble-mean-weighted", + "ensemble-mean", + ]) + + +# Run tests for default and custom resolutions +@pytest.mark.parametrize("resolution", [None, "custom"]) +def test_pixel_tides(satellite_ds, measured_tides_ds, resolution): + # Use different custom resolution depending on CRS + if resolution == "custom": + resolution = 0.1 if satellite_ds.odc.geobox.crs.geographic else 10000 + + # Model tides using `pixel_tides` + modelled_tides_ds, modelled_tides_lowres = pixel_tides(satellite_ds, resolution=resolution) + + # Interpolate measured tide data to same timesteps + measured_tides_ds = measured_tides_ds.interp(time=satellite_ds.time, method="linear") + + # Assert that modelled tides have the same shape and dims as + # arrays in `satellite_ds` + assert modelled_tides_ds.shape == satellite_ds.nbart_red.shape + assert modelled_tides_ds.dims == satellite_ds.nbart_red.dims + + # Assert that high res and low res data have the same dims + assert modelled_tides_ds.dims == modelled_tides_lowres.dims + + # Test through time at tide gauge + + # Create tide gauge point, and reproject to dataset CRS + tide_gauge_point = gpd.points_from_xy( + x=[GAUGE_X], + y=[GAUGE_Y], + crs="EPSG:4326", + ).to_crs(satellite_ds.odc.geobox.crs) + + try: + modelled_tides_gauge = modelled_tides_ds.sel( + y=tide_gauge_point[0].y, + x=tide_gauge_point[0].x, + method="nearest", + ) + except KeyError: + modelled_tides_gauge = modelled_tides_ds.sel( + latitude=tide_gauge_point[0].y, + longitude=tide_gauge_point[0].x, + method="nearest", + ) + + # Calculate accuracy stats + gauge_stats = eval_metrics(x=measured_tides_ds.tide_m, y=modelled_tides_gauge) + + # Assert pixel_tide outputs are accurate + assert gauge_stats["Correlation"] > 0.99 + assert gauge_stats["RMSE"] < 0.26 + assert gauge_stats["R-squared"] > 0.96 + assert abs(gauge_stats["Bias"]) < 0.20 + + # Test spatially for a single timestep at corners of array + + # Create test points, reproject to dataset CRS, and extract coords + # as xr.DataArrays so we can select data from our array + points = gpd.points_from_xy( + x=[122.14438, 122.30304, 122.12964, 122.29235], + y=[-17.91625, -17.92713, -18.07656, -18.08751], + crs="EPSG:4326", + ).to_crs(satellite_ds.odc.geobox.crs) + x_coords = xr.DataArray(points.x, dims=["point"]) + y_coords = xr.DataArray(points.y, dims=["point"]) + + # Extract modelled tides for each corner + try: + extracted_tides = modelled_tides_ds.sel(x=x_coords, y=y_coords, time="2020-01-29", method="nearest") + except KeyError: + extracted_tides = modelled_tides_ds.sel( + longitude=x_coords, latitude=y_coords, time="2020-01-29", method="nearest" + ) + + # Test if extracted tides match expected results (to within ~3 cm) + expected_tides = [-0.66, -0.76, -0.75, -0.82] + assert np.allclose(extracted_tides.values, expected_tides, atol=0.03) diff --git a/tests/test_validation.py b/tests/test_validation.py new file mode 100644 index 0000000..a692024 --- /dev/null +++ b/tests/test_validation.py @@ -0,0 +1,57 @@ +import numpy as np +import pytest + +from eo_tides.validation import load_gauge_gesla + +GAUGE_X = 122.2183 +GAUGE_Y = -18.0008 + + +# Run test for different spatial searches +@pytest.mark.parametrize( + "x, y, site_code, max_distance, correct_mean, expected", + [ + # Test nearest gauge lookup + (GAUGE_X, GAUGE_Y, None, None, False, ["62650"]), + (-117.4, 32.6, None, None, False, ["569A"]), + (152.0, -33.0, None, None, True, ["60370"]), + pytest.param( + GAUGE_X + 1, GAUGE_Y, None, 0.1, False, ["62650"], marks=pytest.mark.xfail(reason="No nearest gauge") + ), + # Test bounding box lookup + ((GAUGE_X - 0.2, GAUGE_X + 0.2), (GAUGE_Y - 0.2, GAUGE_Y + 0.2), None, None, False, ["62650"]), + ((100, 160), (-5, -45), None, None, False, ["60370", "62650"]), + # Test site_code lookup + (None, None, "62650", None, False, ["62650"]), + (None, None, ["60370", "62650"], None, False, ["60370", "62650"]), + ], + ids=[ + "broome_xy", + "sandiego_xy", + "syd_xy_correctmean", + "no_nearest", + "broome_bbox", + "aus_bbox", + "broome_code", + "aus_code", + ], +) +def test_load_gauge_gesla(x, y, site_code, max_distance, correct_mean, expected): + # Load gauge data + gauge_df = load_gauge_gesla( + x=x, + y=y, + site_code=site_code, + max_distance=max_distance, + correct_mean=correct_mean, + time=("2018-01-01", "2018-01-20"), + data_path="tests/data/", + metadata_path="tests/data/GESLA3_ALL 2.csv", + ) + + assert "sea_level" in gauge_df.columns + assert set(gauge_df.index.unique(level="site_code")) == set(expected) + + # Verify that mean is near 0 after subtracting mean from time series + if correct_mean: + assert np.isclose(gauge_df.sea_level.mean().item(), 0.0, atol=0.01) diff --git a/tox.ini 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