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


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