Assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications
Desert Research Institute · Ames Research Center · +14 more institutions
Abstract
Abstract Remotely sensed evapotranspiration (ET) data offer strong potential to support data-driven approaches for sustainable water management. However, practitioners require robust and rigorous accuracy assessments of such data. The OpenET system, which includes an ensemble of six remote sensing models, was developed to increase access to field-scale (30 m) ET data for the contiguous United States. Here we compare OpenET outputs against data from 152 in situ stations, primarily eddy covariance flux towers, deployed across the contiguous United States. Mean absolute error at cropland sites for the OpenET ensemble value is 15.8 mm per month (17% of mean observed ET), mean bias error is −5.3 mm per month (6%)…
Citation impact
- FWCI
- 39.18
- Percentile
- 100%
- References
- 63
Authors
31Topics & keywords
- Evapotranspiration
- Eddy covariance
- Environmental science
- Satellite
- Data assimilation
- Mean squared error
- Remote sensing
- Resource (disambiguation)
Funding
- NANational Aeronautics and Space AdministrationAwards: 80NSSC23K0836, NNX12AD05A, NNX17AF53G
- UDU.S. Department of Agriculture
- DRDesert Research Institute
- WFWalton Family Foundation
- EDEnvironmental Defense Fund
- NSNuclear Safety and Security Commission
- UGU.S. Geological SurveyAwards: G22AC00584-00, 140G0118C0007
- WRWater Resources Research Institute, North Carolina State University
- NINational Institute of Food and AgricultureAward: MISZ-721160
- ARAgricultural Research Service
- ARAgricultural Research Institute, California State UniversityAward: 21-01-106