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Pyenspp: A Python package for ensemble precipitation forecast post-processing using a hybrid KAN–CSGD model
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DOI：10.1016/j.envsoft.2026.107012.png)
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Abstract
En 中文
• Pyenspp integrates preprocessing, calibration, and verification for ensemble forecasts. • A novel KAN-CSGD model is proposed for calibrating ensemble precipitation. • KAN-CSGD shows higher reliability and lower bias than raw or QM forecast. • The open-source package supports catchment-scale hydrological applications.
Keywords:
ensemble precipitation
forecast calibration
KAN-CSGD model
hydrological applications
post-processing
Journal
E
IF:
4.6
Papers:
231
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0