The code in this repository provides a scalable and flexible framework to perform forecast verification. It principally builds upon xarray, dask and flox libraries.
ATTENTION: The code is subject to changes in the coming months.
The folder tutorials (will) provide jupyter notebooks describing various features of xverif.
The folder docs (will) contains slides and notebooks explaining the x-forecasting framework.
For a local installation, follow the below instructions.
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Clone this repository.
git clone https://github.com/ghiggi/xverif.git cd xverif -
Install manually the following dependencies:
conda create --name xverif-dev python=3.8 conda install xarray dask cdo h5py h5netcdf netcdf4 zarr numcodecs rechunker conda install notebook jupyterlab conda install numpy pandas numba scipy bottleneck
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Alternatively install the dependencies using one of the appropriate below environment.yml files:
conda env create -f TODO.yml
The content of this repository is released under the terms of the MIT license.