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

Jupyter Notebook Python Submitted 05 June 2025Published 06 March 2026
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Authors

Dahyann Araya (0000-0002-2439-6308), Valentin Gebhart (0000-0002-3995-865X), Emanuel Schmid (0000-0002-6814-7215), David N. Bresch (0000-0002-8431-4263), Tobias Geiger (0000-0002-8059-8270)

Citation

Araya et al., (2026). Copernicus Seasonal Forecast Tools Package: Bridging Seasonal Climate Predictions and Impact Models for Operational Risk Assessment. Journal of Open Source Software, 11(119), 8827, https://doi.org/10.21105/joss.08827

@article{Araya2026, doi = {10.21105/joss.08827}, url = {https://doi.org/10.21105/joss.08827}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {119}, pages = {8827}, author = {Araya, Dahyann and Gebhart, Valentin and Schmid, Emanuel and Bresch, David N. and Geiger, Tobias}, title = {Copernicus Seasonal Forecast Tools Package: Bridging Seasonal Climate Predictions and Impact Models for Operational Risk Assessment}, journal = {Journal of Open Source Software} }
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Seasonal forecasts Copernicus Climate Data Store CDS CLIMADA Climate hazard modeling Impact-based forecasting Climate risk assessment Climate adaptation Open-source software

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ISSN 2475-9066