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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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