Articles | Volume 28, issue 12
https://doi.org/10.5194/hess-28-2651-2024
© Author(s) 2024. 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-28-2651-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Jun 2024
Research article |
| 21 Jun 2024
| 21 Jun 2024
The development of an operational system for estimating irrigation water use reveals socio-political dynamics in Ukraine
Department of Civil and Environmental Engineering, University of Perugia, Perugia, Italy
National Research Council, Research Institute for Geo-Hydrological Protection, Perugia, Italy
Paolo Filippucci
Department of Civil and Environmental Engineering, University of Perugia, Perugia, Italy
Luca Brocca
National Research Council, Research Institute for Geo-Hydrological Protection, Perugia, Italy
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Louise Mimeau, Yves Tramblay, Luca Brocca, Christian Massari, Stefania Camici, and Pascal Finaud-Guyot
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Stefania Camici, Christian Massari, Luca Ciabatta, Ivan Marchesini, and Luca Brocca
Hydrol. Earth Syst. Sci., 24, 4869–4885, https://doi.org/10.5194/hess-24-4869-2020, https://doi.org/10.5194/hess-24-4869-2020, 2020
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In North Africa, the vulnerability to floods is high, and there is a need to improve the flood-forecasting systems. Remote-sensing and reanalysis data can palliate the lack of in situ measurements, in particular for soil moisture, which is a crucial parameter to consider when modeling floods. In this study we provide an evaluation of recent globally available soil moisture products for flood modeling in Morocco.
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Short summary
We have developed the first operational system (10 d latency) for estimating irrigation water use from accessible satellite and reanalysis data. As a proof of concept, the method has been implemented over an irrigated area fed by the Kakhovka Reservoir, in Ukraine, which collapsed on June 6, 2023. Estimates for the period 2015–2023 reveal that, as expected, the irrigation season of 2023 was characterized by the lowest amounts of irrigation.
We have developed the first operational system (10 d latency) for estimating irrigation water...
