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What is the Value of Integrating Best Estimates of Regional Evapotranspiration into Hydrologic Decision Support Systems?
Investigators: PI, Jan Hendrickx, New Mexico Tech University.
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Abstract
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The purpose of this project is to assess the potential for MODIS, Landsat, and VIIRS NPP
to improve the performance of BoR AWARDS/ET Toolbox and USACE GSSHA used in predicting
regional evapotranspiration and river flow to support crop performance, famine prediction,
and irrigation system performance.
The project seeks to incorporate Landsat, MODIS, NPP, and NPOESS data into two different
implementations of the Surface Energy Balance Algorithms for Land (SEBAL).
SEBALNM is an adaptation developed at New Mexico Tech and the University of Idaho
developed the algorithm Mapping Evapotranspiration at High Resolution with
Internal Calibration (METRICTM).
The US Bureau of Reclamation (BoR) developed the Agricultural Water Resources
Decision Support (AWARDS)/ET Toolbox and the US Army Corp of Engineers (USACE)
developed the Gridded Surface/Subsurface Hydrologic Analysis (GSSHA) model
to monitor and improve predictions of regional evapotranspiration and river flows.
The project seeks to improve BoR's maps showing evapotranspiration of irrigated fields
and rangelands to aid in the monitoring of crop performance, to visualize the effects
of droughts for famine prediction, to evaluate the performance of irrigation systems,
and to improve weather predictions.
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