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

    Source: Bulletin of the American Meteorological Society:;2022:;volume( 103 ):;issue: 010::page E2203
    Author:
    Pablo Ortega
    ,
    Edward W. Blockley
    ,
    Morten Køltzow
    ,
    François Massonnet
    ,
    Irina Sandu
    ,
    Gunilla Svensson
    ,
    Juan C. Acosta Navarro
    ,
    Gabriele Arduini
    ,
    Lauriane Batté
    ,
    Eric Bazile
    ,
    Matthieu Chevallier
    ,
    Rubén Cruz-García
    ,
    Jonathan J. Day
    ,
    Thierry Fichefet
    ,
    Daniela
    DOI: 10.1175/BAMS-D-22-0083.1
    Publisher: American Meteorological Society
    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.
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      Improving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4290313
    Collections
    • Bulletin of the American Meteorological Society

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    contributor authorPablo Ortega
    contributor authorEdward W. Blockley
    contributor authorMorten Køltzow
    contributor authorFrançois Massonnet
    contributor authorIrina Sandu
    contributor authorGunilla Svensson
    contributor authorJuan C. Acosta Navarro
    contributor authorGabriele Arduini
    contributor authorLauriane Batté
    contributor authorEric Bazile
    contributor authorMatthieu Chevallier
    contributor authorRubén Cruz-García
    contributor authorJonathan J. Day
    contributor authorThierry Fichefet
    contributor authorDaniela
    date accessioned2023-04-12T18:49:49Z
    date available2023-04-12T18:49:49Z
    date copyright2022/10/26
    date issued2022
    identifier otherBAMS-D-22-0083.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4290313
    description abstractThe 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.
    publisherAmerican Meteorological Society
    titleImproving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE
    typeJournal Paper
    journal volume103
    journal issue10
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-D-22-0083.1
    journal fristpageE2203
    journal lastpageE2213
    pageE2203–E2213
    treeBulletin of the American Meteorological Society:;2022:;volume( 103 ):;issue: 010
    contenttypeFulltext
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