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Detectable Climate

Scripts and notebooks related to the manuscript titled: "Improving Climate Reproducibility Testing with False Discovery Rate Correction".

Submitted to Platform for Advanced Scientific Computing (PASC) Conference

About

This investigation was set to improve the usability of non bit-for-bit testing in the E3SM Earth system model primarily by reducing the number of false positive tests (e.g. a statstical type I error where the test claims two ensembles have different simulated climates when in fact they are not)

Status

Pre-Commit Python Tests

Package directories

  • The run_scripts directory contains scripts nessecary for setup and execution of E3SM (specific to the LCRC cluster "chrysalis")

  • The detclim directory contains analysis scripts

  • The detclim/notebooks directory contains exploratory notebooks

Requirements

As described in pyproject.toml:

  • setuptools
  • numpy
  • scipy
  • pandas>=2.0.1
  • matplotlib
  • statsmodels
  • xarray
  • cartopy
  • jupyter
  • cftime
  • dask
  • nco
  • nc-time-axis
  • dask-mpi
  • seaborn
  • hvplot
  • bokeh
  • holoviews