Copernicus Seasonal Forecast Tools Package: Bridging Seasonal Climate Predictions and Impact Models for Operational Risk Assessment - copernicus-seasonal-forecast-tools v0.1.1 — JOSS submission

This repository hosts the copernicus-seasonal-forecast-tools, a Python package developed to manage seasonal forecast data from the Copernicus Climate Data Store (CDS) as part of the U-CLIMADAPT project.

It offers comprehensive tools for downloading, processing, computing climate indices, and generating hazard objects based on seasonal forecast datasets, particularly Seasonal forecast daily and subdaily data on single levels. The package is tailored to integrate seamlessly with the CLIMADA (CLIMate ADAptation) platform, supporting climate risk assessment and the development of effective adaptation strategies.

Users can:

• Automatically download of high-resolution seasonal forecast data via the CDS API
• Preprocess sub-daily fields into daily aggregates
• Compute heat-related indices (e.g., heatwave days, tropical nights, TX30)
• Generate CLIMADA hazard objects
• Benefit from the modular design for extending to new indices or forecast products

- Python
Published by DahyannAraya 5 months ago

Copernicus Seasonal Forecast Tools Package: Bridging Seasonal Climate Predictions and Impact Models for Operational Risk Assessment - Zenodo release

Release to be published in Zenodo

- Python
Published by ValentinGebhart 5 months ago