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

• Published in: Bulletin of the American Meteorological Society
• Main Authors: Ortega, Pablo, Blockley, Edward W., Køltzow, Morten, Massonnet, François, Sandu, Irina, Svensson, Gunilla, Acosta Navarro, Juan C., Arduini, Gabriele, Batté, Lauriane, Bazile, Eric, Chevallier, Matthieu, Cruz-García, Rubén, Day, Jonathan J., Fichefet, Thierry, Flocco, Daniela, Gupta, Mukesh, Hartung, Kerstin, Hawkins, Ed, Hinrichs, Claudia, Magnusson, Linus, Moreno-Chamarro, Eduardo, Pérez-Montero, Sergio, Ponsoni, Leandro, Semmler, Tido, Smith, Doug, Sterlin, Jean, Tjernström, Michael, Välisuo, Ilona, Jung, Thomas
• Other Authors: Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS), Météo-France
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2022
• Subjects: [SDU]Sciences of the Universe [physics]; Arctic
• Online Access: https://insu.hal.science/insu-03863729; https://insu.hal.science/insu-03863729/document; https://insu.hal.science/insu-03863729/file/1520-0477-BAMS-D-22-0083.1.pdf; https://doi.org/10.1175/BAMS-D-22-0083.1

International audience 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.