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Long Range Prediction and the Stratosphere

Authors :
Peter H. Haynes
Amy H. Butler
Theodore G. Shepherd
Jadwiga H. Richter
Alexey Yu Karpechko
Steven C. Hardiman
Mark P. Baldwin
Michael Sigmond
Daniella I. V. Domeisen
John Scinocca
David W. J. Thompson
Eun-Pa Lim
Andrew Charlton-Perez
Lorenzo M. Polvani
Adam A. Scaife
Judith Perlwitz
Seok-Woo Son
Shunsuke Noguchi
Chaim I. Garfinkel
Publication Year :
2021
Publisher :
Copernicus GmbH, 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.

Details

ISSN :
16807324
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....c520b8151427b79fa45433e59951e160