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Multi‐Model Subseasonal Prediction Skill Assessment of Water Vapor Transport Associated With Atmospheric Rivers Over the Western U.S.
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2023
Source: Journal of Geophysical Research: Atmospheres, 128(7)
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Journal Title:Journal of Geophysical Research: Atmospheres
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Description:Subseasonal-to-seasonal (S2S) forecasts of atmospheric rivers (ARs) are in high demand in the water supply management and flood control communities. This study focuses on a new metric, the accumulated water vapor transport associated with ARs, which is closely related to the winter precipitation over the western U.S., and provides a multi-model S2S prediction skill assessment. The prediction skill is evaluated at lead time 1–4 weeks in four dynamical model hindcast data sets from National Centers for Environmental Prediction (NCEP), European Center for Medium-Range Weather Forecasts (ECMWF), Environment and Climate Change Canada (ECCC), and Global Modeling and Assimilation Office (GMAO) at National Aeronautics and Space
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Source:Journal of Geophysical Research: Atmospheres, 128(7)
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ISSN:2169-897X;2169-8996;
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Rights Information:Other
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Compliance:Library
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