A high-level Python framework to evaluate the skill of geospatial datasets by comparing candidates to benchmark maps producing agreement maps and metrics.
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Updated
Jun 8, 2026 - Jupyter Notebook
A high-level Python framework to evaluate the skill of geospatial datasets by comparing candidates to benchmark maps producing agreement maps and metrics.
Honest grading for timestamped predictions - episode dedup, explicit baselines, power math, one computed verdict.
This repository is dedicated to the assessment of climate forecast skill of multi-model ensembles.
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