On the Potential of Improving WRF Model Forecasts by Assimilation of High-Resolution GPS-Derived Water-Vapor Maps Augmented with METEOSAT-11 Data

On the Potential of Improving WRF Model Forecasts by Assimilation of High-Resolution GPS-Derived Water-Vapor Maps Augmented with METEOSAT-11 Data

Improving the accuracy of numerical weather predictions remains a challenging task. The absence of sufficiently detailed temporal and spatial real-time in-situ measurements poses a critical gap regarding the proper representation of atmospheric moisture fields, such as water vapor distribution, whic...

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Bibliographic Details
Main Authors: Anton Leontiev, Dorita Rostkier-Edelstein, Yuval Reuveni
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
integrated water vapor
GPS
METEOSAT
weather research and forecast
data assimilation
Online Access:https://www.mdpi.com/2072-4292/13/1/96

Internet

https://www.mdpi.com/2072-4292/13/1/96

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