Calibration approaches for distributed hydrologic models  in poorly gaged basins: implication for streamflow projections under climate change

Wi, S.; Yang, Y. C. E.; Steinschneider, S.; Khalil, A.; Brown, C. M.

doi:10.5194/hess-19-857-2015

Articles | Volume 19, issue 2

https://doi.org/10.5194/hess-19-857-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-19-857-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 19, issue 2

Research article

|

10 Feb 2015

Research article |

| 10 Feb 2015

Calibration approaches for distributed hydrologic models in poorly gaged basins: implication for streamflow projections under climate change

S. Wi, Y. C. E. Yang, S. Steinschneider, A. Khalil, and C. M. Brown

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Sep 2014	117	107	4	228
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Jan 2015	11	26	1	38
Feb 2015	142	137	6	285
Mar 2015	24	31	3	58
Apr 2015	34	18	4	56
May 2015	9	22	2	33
Jun 2015	42	68	7	117
Jul 2015	36	56	1	93
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Sep 2015	13	36	11	60
Oct 2015	19	37	17	73
Nov 2015	27	30	0	57
Dec 2015	18	45	2	65
Jan 2016	39	30	1	70
Feb 2016	21	23	2	46
Mar 2016	19	29	14	62
Apr 2016	16	39	1	56
May 2016	12	21	1	34
Jun 2016	9	15	0	24
Jul 2016	16	15	2	33
Aug 2016	14	21	0	35
Sep 2016	14	10	0	24
Oct 2016	11	8	1	20
Nov 2016	8	20	0	28
Dec 2016	6	18	0	24
Jan 2017	21	31	0	52
Feb 2017	15	21	2	38
Mar 2017	28	14	4	46
Apr 2017	31	15	0	46
May 2017	20	19	1	40
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Jul 2017	19	6	0	25
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Jan 2018	4	16	0	20
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May 2018	7	25	2	34
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Feb 2019	9	13	0	22
Mar 2019	9	16	3	28
Apr 2019	8	13	0	21
May 2019	9	11	0	20
Jun 2019	8	15	0	23
Jul 2019	7	6	0	13
Aug 2019	8	13	0	21
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Jan 2020	17	16	1	34
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Mar 2020	9	5	1	15
Apr 2020	4	9	0	13
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Jun 2020	20	11	0	31
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Jun 2023	14	10	2	26
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Sep 2023	7	11	1	19
Oct 2023	9	12	0	21
Nov 2023	13	15	3	31
Dec 2023	8	14	0	22
Jan 2024	23	13	3	39
Feb 2024	15	17	3	35
Mar 2024	20	17	2	39
Apr 2024	46	12	2	60
May 2024	23	14	5	42
Jun 2024	26	14	3	43
Jul 2024	25	10	5	40
Aug 2024	37	9	1	47
Sep 2024	18	14	1	33
Oct 2024	16	22	1	39
Nov 2024	10	11	0	21
Dec 2024	14	10	1	25
Jan 2025	16	16	0	32
Feb 2025	32	18	0	50
Mar 2025	36	22	0	58
Apr 2025	31	17	2	50
May 2025	25	13	4	42
Jun 2025	48	23	0	71
Jul 2025	27	16	1	44
Aug 2025	52	20	2	74
Sep 2025	56	22	1	79
Oct 2025	44	43	4	91
Nov 2025	23	28	3	54

Cumulative views and downloads (calculated since 17 Sep 2014)

Month	HTML	PDF	XML	Total
Sep 2014	117	107	4	228
Oct 2014	35	38	6	79
Nov 2014	34	35	8	77
Dec 2014	17	34	2	53
Jan 2015	11	26	1	38
Feb 2015	142	137	6	285
Mar 2015	24	31	3	58
Apr 2015	34	18	4	56
May 2015	9	22	2	33
Jun 2015	42	68	7	117
Jul 2015	36	56	1	93
Aug 2015	12	50	1	63
Sep 2015	13	36	11	60
Oct 2015	19	37	17	73
Nov 2015	27	30	0	57
Dec 2015	18	45	2	65
Jan 2016	39	30	1	70
Feb 2016	21	23	2	46
Mar 2016	19	29	14	62
Apr 2016	16	39	1	56
May 2016	12	21	1	34
Jun 2016	9	15	0	24
Jul 2016	16	15	2	33
Aug 2016	14	21	0	35
Sep 2016	14	10	0	24
Oct 2016	11	8	1	20
Nov 2016	8	20	0	28
Dec 2016	6	18	0	24
Jan 2017	21	31	0	52
Feb 2017	15	21	2	38
Mar 2017	28	14	4	46
Apr 2017	31	15	0	46
May 2017	20	19	1	40
Jun 2017	31	13	2	46
Jul 2017	19	6	0	25
Aug 2017	10	16	2	28
Sep 2017	10	13	0	23
Oct 2017	7	23	2	32
Nov 2017	13	30	2	45
Dec 2017	12	23	1	36
Jan 2018	4	16	0	20
Feb 2018	11	25	0	36
Mar 2018	12	33	0	45
Apr 2018	10	28	0	38
May 2018	7	25	2	34
Jun 2018	7	21	1	29
Jul 2018	8	19	0	27
Aug 2018	15	22	0	37
Sep 2018	13	25	0	38
Oct 2018	12	23	0	35
Nov 2018	14	21	1	36
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Jan 2019	16	17	0	33
Feb 2019	9	13	0	22
Mar 2019	9	16	3	28
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Jun 2021	16	14	0	30
Jul 2021	8	12	0	20
Aug 2021	11	7	0	18
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Aug 2022	22	17	3	42
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Nov 2022	34	21	1	56
Dec 2022	18	8	0	26
Jan 2023	31	21	5	57
Feb 2023	21	11	1	33
Mar 2023	34	13	0	47
Apr 2023	10	16	0	26
May 2023	15	17	1	33
Jun 2023	14	10	2	26
Jul 2023	16	14	2	32
Aug 2023	15	12	2	29
Sep 2023	7	11	1	19
Oct 2023	9	12	0	21
Nov 2023	13	15	3	31
Dec 2023	8	14	0	22
Jan 2024	23	13	3	39
Feb 2024	15	17	3	35
Mar 2024	20	17	2	39
Apr 2024	46	12	2	60
May 2024	23	14	5	42
Jun 2024	26	14	3	43
Jul 2024	25	10	5	40
Aug 2024	37	9	1	47
Sep 2024	18	14	1	33
Oct 2024	16	22	1	39
Nov 2024	10	11	0	21
Dec 2024	14	10	1	25
Jan 2025	16	16	0	32
Feb 2025	32	18	0	50
Mar 2025	36	22	0	58
Apr 2025	31	17	2	50
May 2025	25	13	4	42
Jun 2025	48	23	0	71
Jul 2025	27	16	1	44
Aug 2025	52	20	2	74
Sep 2025	56	22	1	79
Oct 2025	44	43	4	91
Nov 2025	23	28	3	54

Latest update: 25 Nov 2025

Short summary

This study shows that multisite calibration approaches for a distributed hydrologic model far exceed a calibration based on only the basin outlet. It also reveals advantages of semi-distributed over (non-parsimonious) fully distributed parameter schematization, by means of improved predictive capacity and reduced parameter uncertainty. The uncertainty in future streamflow resulting from variations in projected climate between GCMs substantially outweighs the calibration uncertainty.