The potential for uncertainty in Numerical Weather Prediction model verification when using solid precipitation observations

The potential for uncertainty in Numerical Weather Prediction model verification when using solid precipitation observations

Abstract Precipitation forecasts made by Numerical Weather Prediction (NWP) models are typically verified using precipitation gauge observations that are often prone to the wind‐induced undercatch of solid precipitation. Therefore, apparent model biases in solid precipitation forecasts may be due in...

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Bibliographic Details
Main Authors: Samuel T. Buisán, Craig D. Smith, Amber Ross, John Kochendorfer, José Luís Collado, Javier Alastrué, Mareile Wolff, Yves‐Alain Roulet, Michael E. Earle, Timo Laine, Roy Rasmussen, Rodica Nitu
Format: Article
Language:English
Published: Wiley 2020-07-01
Series:Atmospheric Science Letters
Subjects:
NWP verification
snow
solid precipitation
SPICE
Online Access:https://doi.org/10.1002/asl.976

Internet

https://doi.org/10.1002/asl.976

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