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Long Range Prediction and the Stratosphere.

Authors :
Scaife, Adam A.
Baldwin, Mark P.
Butler, Amy H.
Charlton-Perez, Andrew J.
Domeisen, Daniela I.V.
Garfinkel, Chaim I.
Hardiman, Steven C.
Haynes, Peter
Yu Karpechko, Alexey
Eun-Pa Lim
Shunsuke Noguchi
Perlwitz, Judith
Polvani, Lorenzo
Richter, Jadwiga H.
Scinocca, John
Sigmond, Michael
Shepherd, Theodore G.
Seok-Woo Son
Thompson, David W.J.
Source :
Atmospheric Chemistry & Physics Discussions; 9/2/2021, p1-30, 30p
Publication Year :
2021

Abstract

Over recent years there have been parallel advances in the development of stratosphere resolving numerical models, our understanding of stratosphere-troposphere interaction and the extension of long-range forecasts to explicitly include the stratosphere. These advances are now allowing new and improved capability in long range prediction. We present an overview of this development and show how the inclusion of the stratosphere in forecast systems aids monthly, seasonal and decadal climate predictions. We end with an outlook towards the future of climate forecasts and identify areas for improvement that could further benefit these rapidly evolving predictions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16807367
Database :
Complementary Index
Journal :
Atmospheric Chemistry & Physics Discussions
Publication Type :
Academic Journal
Accession number :
152319632
Full Text :
https://doi.org/10.5194/acp-2021-719