Articles | Volume 20, issue 1
Hydrol. Earth Syst. Sci., 20, 375–392, 2016
https://doi.org/10.5194/hess-20-375-2016

Special issue: Modeling hydrological processes and changes

Hydrol. Earth Syst. Sci., 20, 375–392, 2016
https://doi.org/10.5194/hess-20-375-2016

Research article 21 Jan 2016

Research article | 21 Jan 2016

Improving flood forecasting capability of physically based distributed hydrological models by parameter optimization

Y. Chen et al.

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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish as is (05 Jan 2016) by Yaning Chen
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Short summary
Parameter optimization is necessary to improve the flood forecasting capability of physically based distributed hydrological model. A method for parameter optimization with particle swam optimization (PSO) algorithm has been proposed for physically based distributed hydrological model in catchment flood forecasting and validated in southern China. It has found that the appropriate particle number and maximum evolution number of PSO algorithm are 20 and 30 respectively.