Evaluating Forecast Skills of Moisture from Convective-Permitting WRF-ARW Model during 2017 North American Monsoon Season

Evaluating Forecast Skills of Moisture from Convective-Permitting WRF-ARW Model during 2017 North American Monsoon Season

This paper examines the ability of the Weather Research and Forecasting model forecast to simulate moisture and precipitation during the North American Monsoon GPS Hydrometeorological Network field campaign that took place in 2017. A convective-permitting model configuration performs daily weather f...

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Bibliographic Details
Main Authors: Christoforus Bayu Risanto, Christopher L. Castro, James M. Moker, Avelino F. Arellano, David K. Adams, Lourdes M. Fierro, Carlos M. Minjarez Sosa
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Atmosphere
Subjects:
weather research and forecasting model
convective-permitting parameterizations
global forecast system model
north american mesoscale model
north american monsoon precipitation
precipitable water vapor
moisture flux convergence
global positioning system
forecast skills of moisture
sensitivity analysis
Online Access:https://www.mdpi.com/2073-4433/10/11/694

Internet

https://www.mdpi.com/2073-4433/10/11/694

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