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American Geophysical Union, Water Resources Research, 8(51), p. 6485-6499

DOI: 10.1002/2015wr017311

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Water balance-based actual evapotranspiration reconstruction from ground and satellite observations over the conterminous United States: WATER BALANCE-BASED OBSERVATIONAL ET RECONSTRUCTION

Journal article published in 2015 by Zhanming Wan, Ke Zhang ORCID, Xianwu Xue, Zhen Hong, Yang Hong, Jonathan J. Gourley
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

The objective of this study is to produce an observationally based monthly evapotranspiration (ET) product using the simple water balance equation across the conterminous United States (CONUS). We adopted the best quality ground- and satellite-based observations of the water budget components, i.e., precipitation, runoff, and water storage change, while ET is computed as the residual. Precipitation data is provided by the bias-corrected PRISM observation-based precipitation dataset, while runoff comes from observed monthly streamflow values at 592 USGS stream gauging stations that have been screened by strict quality controls. We developed a land surface model-based downscaling approach to disaggregate the monthly GRACE equivalent water thickness data to daily, 0.125º values. The derived ET computed as the residual from the water balance equation is evaluated against three sets of existing ET products. The similar spatial patterns and small differences between the reconstructed ET in this study and the other three products show the reliability of the observationally based approach. The new ET product and the disaggregated GRACE data provide a unique, important hydro-meteorological data set that can be used to evaluate the other ET products as a benchmark dataset, assess recent hydrological and climatological changes, and terrestrial water and energy cycle dynamics across the CONUS. These products will also be valuable for studies and applications in drought assessment, water resources management, and climate change evaluation. This article is protected by copyright. All rights reserved.