Improving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE

Pablo Ortega , Edward W. Blockley , Morten Køltzow , François Massonnet , Irina Sandu , Gunilla Svensson , Juan C. Acosta Navarro , Gabriele Arduini , Lauriane Batté (1) , Eric Bazile (1) , Matthieu Chevallier (2) , Rubén Cruz-García , Jonathan J. Day , Thierry Fichefet , Daniela Flocco , Mukesh Gupta , Kerstin Hartung , Ed Hawkins , Claudia Hinrichs , Linus Magnusson , Eduardo Moreno-Chamarro , Sergio Pérez-Montero , Leandro Ponsoni , Tido Semmler , Doug Smith , Jean Sterlin , Michael Tjernström , Ilona Välisuo (1) , Thomas Jung

1 CNRM - Centre national de recherches météorologiques
2 Météo-France

The Arctic environment is changing, increasing the vulnerability of local communities and ecosystems, and impacting its socio-economic landscape. In this context, weather and climate prediction systems can be powerful tools to support strategic planning and decision-making at different time horizons. This article presents several success stories from the H2020 project APPLICATE on how to advance Arctic weather and seasonal climate prediction, synthesizing the key lessons learned throughout the project and providing recommendations for future model and forecast system development.

Domains: Sciences of the Universe [physics]

Pablo Ortega, Edward W. Blockley, Morten Køltzow, François Massonnet, Irina Sandu, et al.. Improving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE. Bulletin of the American Meteorological Society, 2022, 103, pp.E2203-E2213. ⟨10.1175/BAMS-D-22-0083.1⟩. ⟨insu-03863729⟩