Articles | Volume 16, issue 2
https://doi.org/10.5194/gmd-16-427-2023
https://doi.org/10.5194/gmd-16-427-2023
Model description paper
 | 
18 Jan 2023
Model description paper |  | 18 Jan 2023

Implementation and sensitivity analysis of the Dam-Reservoir OPeration model (DROP v1.0) over Spain

Malak Sadki, Simon Munier, Aaron Boone, and Sophie Ricci

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Cited articles

Abdolghafoorian, A. and Farhadi, L.: Uncertainty quantification in land surface hydrologic modeling: Toward an integrated variational data assimilation framework, IEEE J. Sel. Top. Appl. Earth Obs., 9, 2628–2637, https://doi.org/10.1109/JSTARS.2016.2553444, 2016. a
AQUASTAT: FAO's Global Information System on Water and Agriculture, https://www.fao.org/aquastat/ (last access: 16 February 2022), 1994. a
Batalla, R. J., Gomez, C. M., and Kondolf, G. M.: Reservoir-induced hydrological changes in the Ebro River basin (NE Spain), J. Hydrol., 290, 117–136, 2004. a
Baumgartner, A. and Reichel, E.: The world water balance: mean annual global, continental and maritime precipitation and run-off, Elsevier, CRID 1573668924526185088, 1975. a
Biancamaria, S., Lettenmaier, D. P., and Pavelsky, T. M.: The SWOT mission and its capabilities for land hydrology, in: Remote sensing and water resources, Springer International Publishing, 117–147, https://doi.org/10.1007/978-3-319-32449-4_6, 2016. a
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Short summary
Predicting water resource evolution is a key challenge for the coming century. Anthropogenic impacts on water resources, and particularly the effects of dams and reservoirs on river flows, are still poorly known and generally neglected in global hydrological studies. A parameterized reservoir model is reproduced to compute monthly releases in Spanish anthropized river basins. For global application, an exhaustive sensitivity analysis of the model parameters is performed on flows and volumes.