Improvement of hydrological model calibration by selecting multiple parameter ranges

Wu, Qiaofeng; Liu, Shuguang; Cai, Yi; Li, Xinjian; Jiang, Yangming

doi:10.5194/hess-21-393-2017

Articles | Volume 21, issue 1

https://doi.org/10.5194/hess-21-393-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Modeling hydrological processes and changes

https://doi.org/10.5194/hess-21-393-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 1

Research article

|

24 Jan 2017

Research article |

| 24 Jan 2017

Improvement of hydrological model calibration by selecting multiple parameter ranges

Qiaofeng Wu, Shuguang Liu, Yi Cai, Xinjian Li, and Yangming Jiang

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Oct 2016	5	7	12
Nov 2016	2	1	9	12
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Jan 2017	83	36	3	122
Feb 2017	85	19	9	113
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Apr 2017	41	24	1	66
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Aug 2025	25	13	1	39
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Cumulative views and downloads (calculated since 20 Jun 2016)

Month	HTML	PDF	XML	Total
Jun 2016	50	19	1	70
Jul 2016	38	11	1	50
Aug 2016	16	3	2	21
Sep 2016	11	3	0	14
Oct 2016	5	7	12
Nov 2016	2	1	9	12
Dec 2016	2	0	2
Jan 2017	83	36	3	122
Feb 2017	85	19	9	113
Mar 2017	28	25	5	58
Apr 2017	41	24	1	66
May 2017	20	11	0	31
Jun 2017	28	20	0	48
Jul 2017	20	13	0	33
Aug 2017	17	15	0	32
Sep 2017	25	25	0	50
Oct 2017	10	16	0	26
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Dec 2017	14	14	0	28
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Jun 2024	25	11	4	40
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Oct 2024	10	7	0	17
Nov 2024	16	5	2	23
Dec 2024	15	9	1	25
Jan 2025	20	14	0	34
Feb 2025	28	17	1	46
Mar 2025	14	12	2	28
Apr 2025	23	16	1	40
May 2025	26	13	1	40
Jun 2025	39	21	0	60
Jul 2025	39	25	1	65
Aug 2025	25	13	1	39
Sep 2025	38	22	7	67
Oct 2025	28	28	0	56
Nov 2025	22	18	3	43

Latest update: 28 Nov 2025

Short summary

We proposed a method to calibrate hydrological models by selecting parameter range. The results show the probability distribution can be used to determine the optimal range of a single parameter. Analysis of parameter sensitivity and correlation is helpful to obtain the optimal combination of multi-parameter ranges which contributes to a higher and more concentrated value of the objective function. The findings can provide references for enhancing the precision of hydrological process modelling.