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

2010/05/04 by Gilbert Brunet, Melvyn A. Shapiro, Melvyn Shapiro +20 · 218 citations
Earth and Planetary Sciences · Environmental Science · #Climate change #Climate model #Climate variability and models #Climatology #Data assimilation #Downscaling #Earth system science #Environmental science #Extratropical cyclone #Forecast skill #Geography #Mesoscale meteorology #Meteorological Phenomena and Simulations #Meteorology #Numerical weather prediction #Oceanographic and Atmospheric Processes #Precipitation #Underpinning #Weather forecasting #Weather prediction

paper · pdf · doi:10.1175/2010bams3013.1

published in Bulletin of the American Meteorological Society 91(10), 1397-1406 (American Meteorological Society)

openalex publication_date 2010/05/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

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.

Cited by

• Madden–Julian Oscillation: Bridging Weather and Climate
• The “Last-mile Efforts” of Subseasonal Prediction and Services for Climate Resilience and Sustainability: Review and Outlook
• Forecasting Dengue: Evaluating the Role of Hydroclimate Information in Subseasonal to Seasonal Prediction
• Advancing Seasonal Prediction of Tropical Cyclone Activity with a Hybrid AI-Physics Climate Model
• Forecasting Dengue: Evaluating the Role of Hydroclimate Information in Subseasonal to Seasonal Prediction. [europepmc]

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