Stars
A verification pipeline for evaluating models and forecasts.
PyEarthTools: Machine learning for Earth system science
Tools for diagnostics and assessment of (machine learning) models
package useful for likelihood-based inference
Benchmarking of machine learning and numerical weather prediction (MLWP & NWP) models, with a focus on extreme events.
Xarray extension for unstructured climate and global weather data analysis and visualization.
A cookbook for working with AWS-served HRRR model output data
Flexible and user-friendly toolkit for the bias correction of climate models and associated evaluation.
A benchmark for the next generation of data-driven global weather models.
Lightweight library for probabilistic forecast evaluation and optimization.
scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.