Articles | Volume 8, issue 10
https://doi.org/10.5194/gmd-8-3021-2015
https://doi.org/10.5194/gmd-8-3021-2015
Development and technical paper
 | 
02 Oct 2015
Development and technical paper |  | 02 Oct 2015

Using satellite-based estimates of evapotranspiration and groundwater changes to determine anthropogenic water fluxes in land surface models

R. G. Anderson, M.-H. Lo, S. Swenson, J. S. Famiglietti, Q. Tang, T. H. Skaggs, Y.-H. Lin, and R.-J. Wu

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Cited articles

Allen, R. G., Tasumi, M., and Trezza, R.: Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC) – Model, J. Irrig. Drain. Eng., 133, 380–394, 2007.
Anderson, M. C., Norman, J. M., Mecikalski, J. R., Otkin, J. A., and Kustas, W. P.: A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation, J. Geophys. Res., 112, D10117, https://doi.org/10.1029/2006JD007506, 2007.
Anderson, R. G., Lo, M.-H., and Famiglietti, J. S.: Assessing surface water consumption using remotely-sensed groundwater, evapotranspiration, and precipitation, Geophys. Res. Lett., 39, L16401, https://doi.org/10.1029/2012GL052400, 2012.
Ayars, J. E.: Adapting Irrigated Agriculture to Drought in the San Joaquin Valley of California, in Drought in Arid and Semi-Arid Regions, edited by: Schwabe, K., Albiac, J., Connor, J. D., Hassan, R. M., and Meza González, L., 25–39, Springer Netherlands, Dordrecht, 2013.
Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., and Holtslag, A. A. M.: A remote sensing surface energy balance algorithm for land (SEBAL), 1. Formulation, J. Hydrol., 212/213, 198–212, 1998.
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Short summary
Current land surface models (LSMs) poorly represent irrigation impacts on regional hydrology. Approaches to include irrigation in LSMs are based on either potentially outdated irrigation inventory data or soil moisture curves that are not constrained by regional water balances. We use satellite remote sensing of actual ET and groundwater depletion to develop recent estimates of regional irrigation data. Remote sensing parameterizations of irrigation improve model performance.