Articles | Volume 8, issue 10
https://doi.org/10.5194/gmd-8-3021-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-3021-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Using satellite-based estimates of evapotranspiration and groundwater changes to determine anthropogenic water fluxes in land surface models
USDA, Agricultural Research Service, US Salinity Laboratory, Contaminant Fate and Transport Unit, Riverside, CA, USA
National Taiwan University, Department of Atmospheric Sciences, Taipei, Taiwan
S. Swenson
National Center for Atmospheric Research, Advanced Study Program, Boulder, CO, USA
J. S. Famiglietti
Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109, USA
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
T. H. Skaggs
USDA, Agricultural Research Service, US Salinity Laboratory, Contaminant Fate and Transport Unit, Riverside, CA, USA
Y.-H. Lin
National Taiwan University, Department of Atmospheric Sciences, Taipei, Taiwan
R.-J. Wu
National Center for Atmospheric Research, Advanced Study Program, Boulder, CO, USA
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- Estimation of Global Irrigation Water Use by the Integration of Multiple Satellite Observations K. Zhang et al. 10.1029/2021WR030031
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- Detection of human‐induced evapotranspiration using GRACE satellite observations in the Haihe River basin of China Y. Pan et al. 10.1002/2016GL071287
- Local land–atmosphere feedbacks limit irrigation demand M. Decker et al. 10.1088/1748-9326/aa65a6
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- Satellite‐Based Monitoring of Irrigation Water Use: Assessing Measurement Errors and Their Implications for Agricultural Water Management Policy T. Foster et al. 10.1029/2020WR028378
- Retrieving the irrigation actually applied at district scale: Assimilating high-resolution Sentinel-1-derived soil moisture data into a FAO-56-based model P. Laluet et al. 10.1016/j.agwat.2024.108704
- Sustainable and resilient management scenarios for groundwater resources of the Red Sea coastal aquifers B. Niyazi et al. 10.1016/j.scitotenv.2019.07.081
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- Anthropogenic influence on monthly groundwater utilization in an irrigation dominated Ganga river Sub-Basin N. Laveti et al. 10.1016/j.jhydrol.2020.125800
- An assessment of groundwater use in irrigated agriculture using multi-spectral remote sensing L. Nhamo et al. 10.1016/j.pce.2019.102810
- A Water Balance–Based, Spatiotemporal Evaluation of Terrestrial Evapotranspiration Products across the Contiguous United States E. Carter et al. 10.1175/JHM-D-17-0186.1
- GMD perspective: The quest to improve the evaluation of groundwater representation in continental- to global-scale models T. Gleeson et al. 10.5194/gmd-14-7545-2021
- Assessing the radiative impacts of precipitating clouds on winter surface air temperatures and land surface properties in general circulation models using observations J. Li et al. 10.1002/2016JD025175
- Use of major ions to evaluate the hydrogeochemistry of groundwater influenced by reclamation and seawater intrusion, West Nile Delta, Egypt Z. Salem & O. Osman 10.1007/s11356-016-8056-4
- Groundwater Withdrawals Under Drought: Reconciling GRACE and Land Surface Models in the United States High Plains Aquifer W. Nie et al. 10.1029/2017WR022178
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- Quantifying the unauthorized lake water withdrawals and their impacts on the water budget of eutrophic lake Dianchi, China Y. Wu et al. 10.1016/j.jhydrol.2018.08.017
- Linking global land surface temperature projections to radiative effects of hydrometeors under a global warming scenario J. Li et al. 10.1088/1748-9326/ac153c
- Unraveling human influence on evapotranspiration over East Asian monsoon river basins by using GRACE/GRACE-FO data and land surface models H. Liu et al. 10.1016/j.jhydrol.2021.127349
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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.
Current land surface models (LSMs) poorly represent irrigation impacts on regional hydrology....