Long-range prediction and the stratosphere

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.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Long-range prediction and the stratosphere ; volume:22 ; number:4 ; year:2022 ; pages:2601-2623 ; extent:23 ; Atmospheric chemistry and physics ; 22, Heft 4 (2022), 2601-2623 (gesamt 23)

Contributors, Places and Time

• Creator: Scaife, Adam A. ; Baldwin, Mark P. ; Butler, Amy H. ; Charlton-Perez, Andrew J. ; Domeisen, Daniela ; 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.

Further information

• DOI: 10.5194/acp-22-2601-2022
• URN: urn:nbn:de:101:1-2022030304264476912828
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:27 AM CEST