Improving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE-Reference-Cited by-同舟云学术

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

Published:2022-10 Issue:10 Volume:103 Page:E2203-E2213
ISSN:0003-0007
Container-title:Bulletin of the American Meteorological Society
language:
Short-container-title:

Author:

Ortega Pablo¹,Blockley Edward W.²,Køltzow Morten³,Massonnet François⁴,Sandu Irina⁵,Svensson Gunilla⁶,Acosta Navarro Juan C.¹,Arduini Gabriele⁵,Batté Lauriane⁷,Bazile Eric⁷,Chevallier Matthieu⁸,Cruz-García Rubén¹,Day Jonathan J.⁵,Fichefet Thierry⁴,Flocco Daniela⁹,Gupta Mukesh⁴,Hartung Kerstin⁶,Hawkins Ed⁹,Hinrichs Claudia¹⁰,Magnusson Linus⁵,Moreno-Chamarro Eduardo¹,Pérez-Montero Sergio¹,Ponsoni Leandro⁴,Semmler Tido¹⁰,Smith Doug²,Sterlin Jean⁴,Tjernström Michael⁶,Välisuo Ilona⁷,Jung Thomas¹¹

Affiliation:

1. Barcelona Supercomputing Center, Barcelona, Spain;

2. Met Office, Exeter, United Kingdom;

3. Norwegian Meteorological Institute, Oslo, Norway;

4. Georges Lemaître Centre for Earth and Climate Research, Earth and Life Institute, Université Catholique de Louvain, Louvain-la-Neuve, Belgium;

5. European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom;

6. Department of Meteorology, Stockholm University, Stockholm, Sweden;

7. CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France;

8. Météo-France, Toulouse, France;

9. National Centre for Atmospheric Science, Department of Meteorology, University of Reading, Reading, United Kingdom;

10. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany;

11. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, and Department of Physics and Electrical Engineering, University of Bremen, Bremen, Germany

Abstract

Abstract 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.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Link

https://journals.ametsoc.org/downloadpdf/journals/bams/103/10/BAMS-D-22-0083.1.xml

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