Long-range prediction and the stratosphere

Details

Ressource 1Download: acp-22-2601-2022.pdf (1790.68 [Ko])
State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_1B7B5AE26D02
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Long-range prediction and the stratosphere
Journal
Atmospheric Chemistry and Physics
Author(s)
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, Karpechko Alexey Yu, Lim Eun-Pa, Noguchi Shunsuke, Perlwitz Judith, Polvani Lorenzo, Richter Jadwiga H., Scinocca John, Sigmond Michael, Shepherd Theodore G., Son Seok-Woo, Thompson David W. J.
ISSN
1680-7324
Publication state
Published
Issued date
25/02/2022
Peer-reviewed
Oui
Volume
22
Number
4
Pages
2601-2623
Language
english
Abstract
Over recent years there have been concomitant 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 for 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 annual-to-decadal climate predictions and multidecadal projections. We end with an outlook towards the future and identify areas of improvement that could further benefit these rapidly evolving predictions.
Keywords
Atmospheric Science
Web of science
Open Access
Yes
Funding(s)
Swiss National Science Foundation / PP00P2_170523
Swiss National Science Foundation / PP00P2_198896
Create date
08/03/2022 15:12
Last modification date
10/07/2024 7:05
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