Long-range prediction and the stratosphere

Author:

Scaife Adam A.,Baldwin Mark P.,Butler Amy H.ORCID,Charlton-Perez Andrew J.,Domeisen Daniela I. V.ORCID,Garfinkel Chaim I.ORCID,Hardiman Steven C.ORCID,Haynes Peter,Karpechko Alexey Yu,Lim Eun-Pa,Noguchi Shunsuke,Perlwitz Judith,Polvani LorenzoORCID,Richter Jadwiga H.,Scinocca John,Sigmond Michael,Shepherd Theodore G.,Son Seok-Woo,Thompson David W. J.

Abstract

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.

Funder

Department for Business, Energy and Industrial Strategy, UK Government

Department for Environment, Food and Rural Affairs, UK Government

Natural Environment Research Council

Biological and Environmental Research

Japan Society for the Promotion of Science

National Research Foundation of Korea

National Science Foundation

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

H2020 European Research Council

Publisher

Copernicus GmbH

Subject

Atmospheric Science

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