Improving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE
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...
Published in: | Bulletin of the American Meteorological Society |
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ftccsdartic:oai:HAL:insu-03863729v1 2023-12-24T10:13:03+01:00 Improving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE 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 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 2022 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 en eng HAL CCSD American Meteorological Society info:eu-repo/semantics/altIdentifier/doi/10.1175/BAMS-D-22-0083.1 insu-03863729 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 BIBCODE: 2022BAMS.103E2203O doi:10.1175/BAMS-D-22-0083.1 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 0003-0007 EISSN: 1520-0477 Bulletin of the American Meteorological Society https://insu.hal.science/insu-03863729 Bulletin of the American Meteorological Society, 2022, 103, pp.E2203-E2213. ⟨10.1175/BAMS-D-22-0083.1⟩ [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2022 ftccsdartic https://doi.org/10.1175/BAMS-D-22-0083.1 2023-11-25T23:57:40Z 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. Article in Journal/Newspaper Arctic Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Arctic Bulletin of the American Meteorological Society 103 10 E2203 E2213 |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
[SDU]Sciences of the Universe [physics] |
spellingShingle |
[SDU]Sciences of the Universe [physics] 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 Improving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE |
topic_facet |
[SDU]Sciences of the Universe [physics] |
description |
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. |
author2 |
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 |
author |
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 |
author_facet |
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 |
author_sort |
Ortega, Pablo |
title |
Improving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE |
title_short |
Improving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE |
title_full |
Improving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE |
title_fullStr |
Improving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE |
title_full_unstemmed |
Improving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE |
title_sort |
improving arctic weather and seasonal climate prediction: recommendations for future forecast systems evolution from the european project applicate |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
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 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
ISSN: 0003-0007 EISSN: 1520-0477 Bulletin of the American Meteorological Society https://insu.hal.science/insu-03863729 Bulletin of the American Meteorological Society, 2022, 103, pp.E2203-E2213. ⟨10.1175/BAMS-D-22-0083.1⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1175/BAMS-D-22-0083.1 insu-03863729 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 BIBCODE: 2022BAMS.103E2203O doi:10.1175/BAMS-D-22-0083.1 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1175/BAMS-D-22-0083.1 |
container_title |
Bulletin of the American Meteorological Society |
container_volume |
103 |
container_issue |
10 |
container_start_page |
E2203 |
op_container_end_page |
E2213 |
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1786178904062427136 |