4.7 Article

Long-range prediction and the stratosphere

期刊

ATMOSPHERIC CHEMISTRY AND PHYSICS
卷 22, 期 4, 页码 2601-2623

出版社

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/acp-22-2601-2022

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资金

  1. Met Office Hadley Centre Climate Programme - BEIS (Department for Business, Energy & Industrial Strategy)
  2. Defra (Department for Environment, Food Rural Affairs)
  3. Natural Environment Research Council [NE/M006123/1]
  4. Regional and Global Model Analysis (RGMA) component of the Earth and Environmental System Modeling programme of the U.S. Department of Energy's Office of Biological and Environmental Research (BER) via the National Science Foundation (NSF) [1844590]
  5. Japan Society for the Promotion of Science (KAKENHI) [19K14798]
  6. Australian government's National Environmental Science Program phase 2
  7. Australian government's Victorian Water and Climate Initiative phase 2
  8. National Research Foundation of Korea (NRF) - government of the Republic of Korea (Ministry of Science and ICT) [2017R1E1A1A01074889]
  9. US National Science Foundation Climate and Large-Scale Dynamics programme
  10. Swiss National Science Foundation [PP00P2_170523, PP00P2_198896]
  11. European Research Council starting grant under the European Union Horizon 2020 research and innovation programme [677756]
  12. Swiss National Science Foundation (SNF) [PP00P2_198896] Funding Source: Swiss National Science Foundation (SNF)
  13. Directorate For Geosciences
  14. Div Atmospheric & Geospace Sciences [1844590] Funding Source: National Science Foundation
  15. Grants-in-Aid for Scientific Research [19K14798] Funding Source: KAKEN

向作者/读者索取更多资源

In recent years, there have been significant advances in the development of stratosphere-resolving numerical models, understanding of stratosphere-troposphere interaction, and extending long-range forecasts to explicitly include the stratosphere. These advances have led to new and improved capabilities in long-range prediction, aiding monthly, seasonal, annual-to-decadal climate predictions, and multidecadal projections.
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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