Estimating Near Real-Time Hourly Evapotranspiration Using Numerical Weather Prediction Model Output and GOES Remote Sensing Data in Iowa

Estimating Near Real-Time Hourly Evapotranspiration Using Numerical Weather Prediction Model Output and GOES Remote Sensing Data in Iowa

This study evaluates the applicability of numerical weather prediction output supplemented with remote sensing data for near real-time operational estimation of hourly evapotranspiration (ET). Rapid Refresh (RAP) and High-Resolution Rapid Refresh (HRRR) systems were selected to provide forcing data...

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Bibliographic Details
Main Authors: Wonsook S. Ha, George R. Diak, Witold F. Krajewski
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
evapotranspiration
numerical weather prediction
remote sensing
GOES
eddy covariance
Online Access:https://www.mdpi.com/2072-4292/12/14/2337

Internet

https://www.mdpi.com/2072-4292/12/14/2337

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