Using climate regionalization to understand Climate Forecast System Version 2 (CFSv2) precipitation performance for the Conterminous United States (CONUS)

Abstract Dynamically based seasonal forecasts are prone to systematic spatial biases due to imperfections in the underlying global climate model (GCM). This can result in low‐forecast skill when the GCM misplaces teleconnections or fails to resolve geographic barriers, even if the prediction of larg...

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Bibliographic Details

Published in:	Geophysical Research Letters
Main Authors:	Satish K. Regonda, Benjamin F. Zaitchik, Hamada S. Badr, Matthew Rodell
Format:	Article
Language:	English
Published:	Wiley 2016-06-01
Subjects:	regionalization seasonal forecast precipitation CFSv2 CONUS model evaluation
Online Access:	https://doi.org/10.1002/2016GL069150