Detectable Climate

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

Submitted to Earth System Dynamics special issue on "Theoretical and computational aspects of ensemble design, implementation, and interpretation in climate science"

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 (i.e. a statistical type I error where the test claims two ensembles have different simulated climates when in fact they are not)

Status

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