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Long-range prediction and the stratosphere

Cited 30 time in Web of Science Cited 30 time in Scopus
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; 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.

Issue Date
2022-02-25
Publisher
European Geophysical Society
Citation
Atmospheric Chemistry and Physics, Vol.22 No.4, pp.2601-2623
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.
ISSN
1680-7316
URI
https://hdl.handle.net/10371/179371
DOI
https://doi.org/10.5194/acp-22-2601-2022
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