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Collaboration of the Weather and Climate Communities to Advance Subseasonal-to-Seasonal Prediction

Open access
Brunet, Gilbert, Shapiro, Melvyn, Hoskins, Brian, Moncrieff, Mitch, Dole, Randall, Kiladis, George N., Kirtman, Ben, Lorenc, Andrew, Mills, Brian, Morss, Rebecca, Polavarapu, Saroja, Rogers, David, Schaake, John, Shukla, Jagadish·2010·Bulletin of the American Meteorological Society

Abstract

The World Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP) have identified collaborations and scientific priorities to accelerate advances in analysis and prediction at subseasonalto-seasonal time scales, which include i) advancing knowledge of mesoscale–planetary-scale interactions and their prediction; ii) developing high-resolution global–regional climate simulations, with advanced representation of physical processes, to improve the predictive skill of subseasonal and seasonal variability of high-impact events, such as seasonal droughts and floods, blocking, and tropical and extratropical cyclones; iii) contributing to the improvement of data assimilation methods for monitoring and predicting used in coupled ocean–atmosphere–land and Earth system models; and iv) developing and transferring diagnostic and prognostic information tailored to socioeconomic decision making. The document puts forward specific underpinning research, linkage, and requirements necessary to achieve the goals of the proposed collaboration.

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Metadata

Authors
Brunet, G., Shapiro, M., Hoskins, B., Moncrieff, M., Dole, R., Kiladis, G. N., Kirtman, B., Lorenc, A., Mills, B., Morss, R., Polavarapu, S., Rogers, D., Schaake, J., & Shukla, J.
Venue
Bulletin of the American Meteorological Society
Published
2010-10
Volume
91
Issue
10
Pages
1397-1406
ISSN
  • 0003-0007 (ISSN-L)
  • 1520-0477
OpenAlex
W1999752910
Cited by
224
References
0
FWCI
8.86
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Collaboration of the Weather and Climate Communities to Advance Subseasonal-to-Seasonal Prediction. https://app.cochat.ai/papers/10.1175/2010bams3013.1
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Brunet, G., Shapiro, M., Hoskins, B., Moncrieff, M., Dole, R., Kiladis, G. N., Kirtman, B., Lorenc, A., Mills, B., Morss, R., Polavarapu, S., Rogers, D., Schaake, J., & Shukla, J. (2010). Collaboration of the Weather and Climate Communities to Advance Subseasonal-to-Seasonal Prediction. Bulletin of the American Meteorological Society. https://doi.org/10.1175/2010bams3013.1

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.