Articles | Volume 28, issue 16
https://doi.org/10.5194/hess-28-3777-2024
https://doi.org/10.5194/hess-28-3777-2024
Research article
 | 
22 Aug 2024
Research article |  | 22 Aug 2024

On the combined use of rain gauges and GPM IMERG satellite rainfall products for hydrological modelling: impact assessment of the cellular-automata-based methodology in the Tanaro River basin in Italy

Annalina Lombardi, Barbara Tomassetti, Valentina Colaiuda, Ludovico Di Antonio, Paolo Tuccella, Mario Montopoli, Giovanni Ravazzani, Frank Silvio Marzano, Raffaele Lidori, and Giulia Panegrossi

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Cited articles

Andiego, G., Waseem, M., Usman, M., and Mani, N.:The Influence of Rain Gauge Network Density on the Performance of a Hydrological Model, Comput. Water Energ. Environ. Eng., 7, 27–50, https://doi.org/10.4236/cweee.2018.81002, 2018. 
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Brocca, L., Massari, C., Pellarin, T., Filippucci, P., Ciabatta, L., Camici, S., Kerr, Y. H., and Fernández-Prieto, D.: River flow prediction in data scarce regions: soil moisture integrated satellite rainfall products outperform rain gauge observations in West Africa, Sci. Rep., 10, 12517, https://doi.org/10.1038/s41598-020-69343-x, 2020. 
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The accurate estimation of precipitation and its spatial variability within a watershed is crucial for reliable discharge simulations. The study is the first detailed analysis of the potential usage of the cellular automata technique to merge different rainfall data inputs to hydrological models. This work shows an improvement in the performance of hydrological simulations when satellite and rain gauge data are merged.