Articles | Volume 25, issue 2
https://doi.org/10.5194/hess-25-711-2021
https://doi.org/10.5194/hess-25-711-2021
Research article
 | 
18 Feb 2021
Research article |  | 18 Feb 2021

A time-varying parameter estimation approach using split-sample calibration based on dynamic programming

Xiaojing Zhang and Pan Liu

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Revised manuscript not accepted
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Cited articles

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Short summary
Rainfall–runoff models are useful tools for streamflow simulation. However, efforts are needed to investigate how their parameters vary in response to climate changes and human activities. Thus, this study proposes a new method for estimating time-varying parameters, by considering both simulation accuracy and parameter continuity. The results show the proposed method is effective for identifying temporal variations of parameters and can simultaneously provide good streamflow simulation.
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