Scaife, A. A., Baldwin, M. P., Butler, A. H., Charlton-Perez, A. J.
ORCID: https://orcid.org/0000-0001-8179-6220, Domeisen, D. I. V., Garfinkel, C.I., Hardiman, S. C., Haynes, P., Karpechko, A. Y., Lim, E.-P., Noguchi, S., Perlwitz, J., Polvani, L., Richter, J. H., Scinocca, J., Sigmond, M., Shepherd, T. G.
ORCID: https://orcid.org/0000-0002-6631-9968, Son, S.-W. and Thompson, D. W. J.
(2022)
Long-range prediction and the stratosphere.
Atmospheric Chemistry and Physics, 22.
pp. 2601-2623.
ISSN 1680-7316
doi: 10.5194/acp-22-2601-2022
Abstract/Summary
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.
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| Item Type | Article |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/103843 |
| Identification Number/DOI | 10.5194/acp-22-2601-2022 |
| Refereed | Yes |
| Divisions | Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology |
| Publisher | EGU |
| Download/View statistics | View download statistics for this item |
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