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- W2591567674 endingPage "184" @default.
- W2591567674 startingPage "184" @default.
- W2591567674 abstract "Evapotranspiration (ET) is a key component of the water balance, especially in arid and semiarid regions. The current study takes advantage of spatially-distributed, near real-time information provided by satellite remote sensing to develop a regional scale ET product derived from remotely-sensed observations. ET is calculated by scaling PET estimated from Moderate Resolution Imaging Spectroradiometer (MODIS) products with downscaled soil moisture derived using the Soil Moisture Ocean Salinity (SMOS) satellite and a second order polynomial regression formula. The MODis-Soil Moisture ET (MOD-SMET) estimates are validated using four flux tower sites in southern Arizona USA, a calibrated empirical ET model, and model output from Version 2 of the North American Land Data Assimilation System (NLDAS-2). Validation against daily eddy covariance ET indicates correlations between 0.63 and 0.83 and root mean square errors (RMSE) between 40 and 96 W/m2. MOD-SMET estimates compare well to the calibrated empirical ET model, with a −0.14 difference in correlation between sites, on average. By comparison, NLDAS-2 models underestimate daily ET compared to both flux towers and MOD-SMET estimates. Our analysis shows the MOD-SMET approach to be effective for estimating ET. Because it requires limited ancillary ground-based data and no site-specific calibration, the method is applicable to regions where ground-based measurements are not available." @default.
- W2591567674 created "2017-03-03" @default.
- W2591567674 creator A5003834872 @default.
- W2591567674 creator A5009456080 @default.
- W2591567674 creator A5026816234 @default.
- W2591567674 creator A5090210162 @default.
- W2591567674 date "2017-02-23" @default.
- W2591567674 modified "2023-09-27" @default.
- W2591567674 title "Evapotranspiration Estimates Derived Using Multi-Platform Remote Sensing in a Semiarid Region" @default.
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