Articles | Volume 385
https://doi.org/10.5194/piahs-385-399-2024
https://doi.org/10.5194/piahs-385-399-2024
Post-conference publication
 | 
19 Apr 2024
Post-conference publication |  | 19 Apr 2024

Bayesian inference of synthetic daily rating curves by coupling Chebyshev Polynomials and the GR4J model

Rafael Navas, Pablo Gamazo, and R. Willem Vervoort

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Short summary
It’s difficult to estimate the daily discharge of a river when only one instantaneous level record is available per day. This work proposes to estimate synthetic daily rating curves from nearby gauged locations using a rainfall-runoff model and bayesian inference. The results can help provide a more comprehensive understanding of the hydrological functioning of systems where only one instantaneous stage level per day is available.
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