Articles | Volume 25, issue 11
https://doi.org/10.5194/hess-25-5805-2021
https://doi.org/10.5194/hess-25-5805-2021
Research article
 | 
11 Nov 2021
Research article |  | 11 Nov 2021

On the selection of precipitation products for the regionalisation of hydrological model parameters

Oscar M. Baez-Villanueva, Mauricio Zambrano-Bigiarini, Pablo A. Mendoza, Ian McNamara, Hylke E. Beck, Joschka Thurner, Alexandra Nauditt, Lars Ribbe, and Nguyen Xuan Thinh

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Cited articles

Abdelaziz, R., Merkel, B. J., Zambrano-Bigiarini, M., and Nair, S.: Particle swarm optimization for the estimation of surface complexation constants with the geochemical model PHREEQC-3.1.2, Geosci. Model Dev., 12, 167–177, https://doi.org/10.5194/gmd-12-167-2019, 2019. a
Addor, N., Jaun, S., Fundel, F., and Zappa, M.: An operational hydrological ensemble prediction system for the city of Zurich (Switzerland): skill, case studies and scenarios, Hydrol. Earth Syst. Sci., 15, 2327–2347, https://doi.org/10.5194/hess-15-2327-2011, 2011. a
Addor, N., Nearing, G., Prieto, C., Newman, A., Le Vine, N., and Clark, M. P.: A ranking of hydrological signatures based on their predictability in space, Water Resour. Res., 54, 8792–8812, 2018. a
Adhikary, S. K., Yilmaz, A. G., and Muttil, N.: Optimal design of rain gauge network in the Middle Yarra River catchment, Australia, Hydrol. Process., 29, 2582–2599, 2015. a
Alvarez-Garreton, C., Mendoza, P. A., Boisier, J. P., Addor, N., Galleguillos, M., Zambrano-Bigiarini, M., Lara, A., Puelma, C., Cortes, G., Garreaud, R., McPhee, J., and Ayala, A.: The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset, Hydrol. Earth Syst. Sci., 22, 5817–5846, https://doi.org/10.5194/hess-22-5817-2018, 2018. a, b, c, d
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Most rivers worldwide are ungauged, which hinders the sustainable management of water resources. Regionalisation methods use information from gauged rivers to estimate streamflow over ungauged ones. Through hydrological modelling, we assessed how the selection of precipitation products affects the performance of three regionalisation methods. We found that a precipitation product that provides the best results in hydrological modelling does not necessarily perform the best for regionalisation.
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