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

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    BAMS-D-22-0083.1.pdf (2.538Mb)
    Date
    2022
    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
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    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.
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4290313
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