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Stratospheric Memory and Skill of Extended-Range Weather Forecasts

Baldwin, Mark P., Stephenson, David B., Thompson,, David W. J., Dunkerton, Timothy J., Charlton, Andrew J., O'Neill, Alan·2003·Science

Abstract

We use an empirical statistical model to demonstrate significant skill in making extended-range forecasts of the monthly-mean Arctic Oscillation (AO). Forecast skill derives from persistent circulation anomalies in the lowermost stratosphere and is greatest during boreal winter. A comparison to the Southern Hemisphere provides evidence that both the time scale and predictability of the AO depend on the presence of persistent circulation anomalies just above the tropopause. These circulation anomalies most likely affect the troposphere through changes to waves in the upper troposphere, which induce surface pressure changes that correspond to the AO.

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Metadata

Authors
Baldwin, M. P., Stephenson, D. B., Thompson, Dunkerton, T. J., Charlton, A. J., & O'Neill, A.
Venue
Science
Published
2003-08
Volume
301
Issue
5633
Pages
636-640
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1981047946
Cited by
561
References
0
FWCI
18.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Stratospheric Memory and Skill of Extended-Range Weather Forecasts. https://app.cochat.ai/papers/10.1126/science.1087143
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Baldwin, M. P., Stephenson, D. B., Thompson, Dunkerton, T. J., Charlton, A. J., & O'Neill, A. (2003). Stratospheric Memory and Skill of Extended-Range Weather Forecasts. Science. https://doi.org/10.1126/science.1087143

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.