{"id":32391330,"url":"https://github.com/mkstratos/detectable_climate","last_synced_at":"2025-10-25T04:56:19.637Z","repository":{"id":268027538,"uuid":"571705839","full_name":"mkstratos/detectable_climate","owner":"mkstratos","description":"Design and test improvements to MVK from evv4esm","archived":false,"fork":false,"pushed_at":"2025-10-24T05:28:41.000Z","size":704,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-24T07:17:07.002Z","etag":null,"topics":["climate","climate-model-evaluation","climate-modelling","statistics"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Detectable Climate\n\nScripts and notebooks related to the manuscript titled:\n\"Improving Climate Reproducibility Testing with False Discovery Rate Correction\".\n\nSubmitted to [Earth System Dynamics](https://egusphere.copernicus.org/preprints/2025/egusphere-2025-2311/) special issue on \"Theoretical and computational aspects of ensemble design, implementation, and interpretation in climate science\"\n\n\n## About\nThis investigation was set to improve the usability of non bit-for-bit testing in\nthe E3SM Earth system model primarily by reducing the number of false positive tests\n(i.e. a statistical type I error where the test claims two ensembles have different\nsimulated climates when in fact they are not)\n\n\n## Status\n[![Pre-Commit](https://github.com/mkstratos/detectable_climate/actions/workflows/pre-commit.yml/badge.svg)](https://github.com/mkstratos/detectable_climate/actions/workflows/pre-commit.yml)\n[![Python Tests](https://github.com/mkstratos/detectable_climate/actions/workflows/python-tests.yml/badge.svg)](https://github.com/mkstratos/detectable_climate/actions/workflows/python-tests.yml)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.15343054.svg)](https://doi.org/10.5281/zenodo.15343054)\n\n\n## Package directories\n\n- The `run_scripts` directory contains scripts nessecary for setup and execution of\nE3SM (specific to the LCRC cluster \"chrysalis\")\n\n- The `detclim` directory contains analysis scripts\n\n- The `detclim/notebooks` directory contains exploratory notebooks\n\n\n## Requirements\nAs described in `pyproject.toml`:\n- setuptools\n- numpy\n- scipy\n- pandas\u003e=2.0.1\n- matplotlib\n- statsmodels\n- xarray\n- cartopy\n- jupyter\n- cftime\n- dask\n- nco\n- nc-time-axis\n- dask-mpi\n- seaborn\n- hvplot\n- bokeh\n- holoviews\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmkstratos%2Fdetectable_climate","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmkstratos%2Fdetectable_climate","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmkstratos%2Fdetectable_climate/lists"}