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 Montilla, Pablo, Blockley, Edward W., Køltzow, Morten, Massonnet, François, Sandu, Irina, Svensson, Gunilla, Acosta Navarro, Juan Camilo, Cruz García, Rubén, Moreno Chamarro, Eduardo, Pérez Montero, Sergio
• Other Authors: Universitat Politècnica de Catalunya. Departament de Física, Barcelona Supercomputing Center
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2022
• Subjects: Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Enginyeria ambiental; Climatology > Forecasting; Climatology > Mathematical models; Arctic weather; Weather prediction; Climate prediction; H2020 project APPLICATE; Climatologia > Previsió; Climatologia > Models matemàtics; Arctic; Norway; Ortega; Moreno; Pablo; Navarro; Acosta; Montero
• Online Access: http://hdl.handle.net/2117/373606; https://doi.org/10.1175/BAMS-D-22-0083.1

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. The results discussed in this article were supported by the project APPLICATE (727862), funded by the European Union's Horizon 2020 research and innovation programme. PO was additionally supported by the Spanish fellowship RYC-2017-22772. Peer Reviewed Article signat per 29 autors/es: Pablo Ortega (1), Edward W. Blockley (2), Morten Køltzow (3), François Massonnet (4), Irina Sandu (5), Gunilla Svensson (6), Juan C. Acosta Navarro (1), Gabriele Arduini (5), Lauriane Batté (7), Eric Bazile (7), Matthieu Chevallier (8), Rubén Cruz-García (1), Jonathan J. Day (5), Thierry Fichefet (4), Daniela Flocco (9), Mukesh Gupta (4), Kerstin Hartung (6,10), Ed Hawkins (9), Claudia Hinrichs (11), Linus Magnusson (5), Eduardo Moreno-Chamarro (1), Sergio Pérez-Montero (1), Leandro Ponsoni (4), Tido Semmler (11), Doug Smith (2), Jean Sterlin (4), Michael Tjernström (6), Ilona Välisuo (7,12), and Thomas Jung (11,13) // (1) Barcelona Supercomputing Center, Barcelona, Spain | (2) Met Office, Exeter, UK | (3) Norwegian Meteorological Institute, Oslo, Norway | (4) Université catholique de Louvain, Earth and Life Institute, Georges Lemaître Centre for Earth and Climate Research, Louvain-la-Neuve, Belgium | (5) European Centre for Medium-Range Weather Forecasts, Reading, UK | (6) Department of Meteorology, Stockholm University, Stockholm, Sweden | (7) CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France | (8) Météo-France, Toulouse, France | ...