Articles | Volume 22, issue 9
https://doi.org/10.5194/hess-22-4959-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-4959-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global 5 km resolution estimates of secondary evaporation including irrigation through satellite data assimilation
Albert I. J. M. van Dijk
CORRESPONDING AUTHOR
Fenner School of Environment & Society, Australian National
University, Canberra, ACT, Australia
Jaap Schellekens
Deltares, Delft, Boussinesqweg 1, 2629 HV Delft, The Netherlands
Vandersat B.V., Wilhelminastraat 43a, 2011 VK, Haarlem, The Netherlands
Marta Yebra
Fenner School of Environment & Society, Australian National
University, Canberra, ACT, Australia
Hylke E. Beck
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
Luigi J. Renzullo
Fenner School of Environment & Society, Australian National
University, Canberra, ACT, Australia
Albrecht Weerts
Deltares, Delft, Boussinesqweg 1, 2629 HV Delft, The Netherlands
Hydrology and Quantitative Water Management group, Wageningen University & Research, Wageningen, The Netherlands
Gennadii Donchyts
Deltares, Delft, Boussinesqweg 1, 2629 HV Delft, The Netherlands
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- Combining Remotely Sensed Evapotranspiration and an Agroecosystem Model to Estimate Center‐Pivot Irrigation Water Use at High Spatio‐Temporal Resolution J. Zhang et al. 10.1029/2022WR032967
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- Land Surface Model Calibration Using Satellite Remote Sensing Data M. Khaki 10.3390/s23041848
- Altimetry-derived surface water data assimilation over the Nile Basin M. Khaki & J. Awange 10.1016/j.scitotenv.2020.139008
- Observation-based assessment of secondary water effects on seasonal vegetation decay across Africa Ç. Küçük et al. 10.3389/fdata.2022.967477
- Learning Global Evapotranspiration Dataset Corrections from a Water Cycle Closure Supervision T. Hascoet et al. 10.3390/rs16010170
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- Quantifying and valuing irrigation in energy and water limited agroecosystems M. Soylu & R. Bras 10.1016/j.hydroa.2023.100169
- Patterns and drivers of evapotranspiration in South American wetlands A. Fleischmann et al. 10.1038/s41467-023-42467-0
- Forests as ‘sponges’ and ‘pumps’: Assessing the impact of deforestation on dry-season flows across the tropics J. Peña-Arancibia et al. 10.1016/j.jhydrol.2019.04.064
- Application of the TDR Sensor and the Parameters of Injection Irrigation for the Estimation of Soil Evaporation Intensity A. Walczak et al. 10.3390/s21072309
- Divergent trends in irrigation-water withdrawal and consumption over mainland China L. Zhang et al. 10.1088/1748-9326/ac8606
- Identification of irrigation events using Bayesian statistics-based change detection and soil moisture measurements Y. Gao et al. 10.1016/j.agwat.2024.108999
- Using modelled discharge to develop satellite-based river gauging: a case study for the Amazon Basin J. Hou et al. 10.5194/hess-22-6435-2018
- How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products L. Brocca et al. 10.1016/j.jag.2018.08.023
- How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture? L. Zappa et al. 10.1016/j.jag.2022.102979
- Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities H. West et al. 10.1016/j.rse.2019.111291
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- Quantifying future water-saving potential under climate change and groundwater recharge scenarios in Lower Chenab Canal, Indus River Basin M. Shafeeque et al. 10.1007/s00704-023-04621-y
- Global groundwater droughts are more severe than they appear in hydrological models: An investigation through a Bayesian merging of GRACE and GRACE-FO data with a water balance model E. Forootan et al. 10.1016/j.scitotenv.2023.169476
- Estimating reservoir evaporation losses for the United States: Fusing remote sensing and modeling approaches G. Zhao & H. Gao 10.1016/j.rse.2019.03.015
- Remotely sensed reservoir water storage dynamics (1984–2015) and the influence of climate variability and management at a global scale J. Hou et al. 10.5194/hess-26-3785-2022
- A Systematic Review and Meta-Analysis of Intelligent Irrigation Systems H. Hammouch et al. 10.1109/ACCESS.2024.3421322
- Spatio-temporal estimation of green and blue water consumptions and water and land productivity using satellite remote sensing datasets and WA+ framework: A case study of the Mahi Basin, India P. Patle et al. 10.1016/j.agwat.2022.108097
- Global satellite-based river gauging and the influence of river morphology on its application J. Hou et al. 10.1016/j.rse.2019.111629
- A direct insertion technique to assimilate sea surface height into a storm surge model S. Bhuiyan et al. 10.1016/j.jhydrol.2024.130886
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Latest update: 22 Nov 2024
Short summary
Evaporation from wetlands, lakes and irrigation areas needs to be measured to understand water scarcity. So far, this has only been possible for small regions. Here, we develop a solution that can be applied at a very high resolution globally by making use of satellite observations. Our results show that 16% of global water resources evaporate before reaching the ocean, mostly from surface water. Irrigation water use is less than 1% globally but is a very large water user in several dry basins.
Evaporation from wetlands, lakes and irrigation areas needs to be measured to understand water...