Articles | Volume 24, issue 11
Hydrol. Earth Syst. Sci., 24, 5251–5277, 2020
https://doi.org/10.5194/hess-24-5251-2020
Hydrol. Earth Syst. Sci., 24, 5251–5277, 2020
https://doi.org/10.5194/hess-24-5251-2020
Research article
12 Nov 2020
Research article | 12 Nov 2020

Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling, and a satellite–model fusion approach

Oliver Miguel López Valencia et al.

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Cited articles

Abo-Ghobar, H. M.: Losses from low-pressure center-pivot irrigation systems in a desert climate as affected by nozzle height, Agr. Water Manage., 21, 23–32, 1992. 
Ajami, H., Evans, J. P., McCabe, M. F., and Stisen, S.: Technical Note: Reducing the spin-up time of integrated surface water–groundwater models, Hydrol. Earth Syst. Sci., 18, 5169–5179, https://doi.org/10.5194/hess-18-5169-2014, 2014. 
Ajami, H., McCabe, M. F., and Evans, J. P.: Impacts of model initialization on an integrated surface water–groundwater model, Hydrol. Process., 29, 3790–3801, https://doi.org/10.1002/hyp.10478, 2015. 
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. 
Alley, W. M. and Konikow, L. F.: Bringing GRACE down to earth, Groundwater, 53, 826–829, 2015. 
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The agricultural sector in Saudi Arabia has expanded rapidly over the last few decades, supported by non-renewable groundwater abstraction. This study describes a novel data–model fusion approach to compile national-scale groundwater abstractions and demonstrates its use over 5000 individual center-pivot fields. This method will allow both farmers and water management agencies to make informed water accounting decisions across multiple spatial and temporal scales.