Assimilation of SMOS soil moisture into a distributed hydrological model and impacts on the water cycle variables over the Ouémé catchment in Benin

Leroux, Delphine J.; Pellarin, Thierry; Vischel, Théo; Cohard, Jean-Martial; Gascon, Tania; Gibon, François; Mialon, Arnaud; Galle, Sylvie; Peugeot, Christophe; Seguis, Luc

doi:10.5194/hess-20-2827-2016

Articles | Volume 20, issue 7

https://doi.org/10.5194/hess-20-2827-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-2827-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 7

Research article

|

14 Jul 2016

Research article |

| 14 Jul 2016

Assimilation of SMOS soil moisture into a distributed hydrological model and impacts on the water cycle variables over the Ouémé catchment in Benin

Delphine J. Leroux, Thierry Pellarin, Théo Vischel, Jean-Martial Cohard, Tania Gascon, François Gibon, Arnaud Mialon, Sylvie Galle, Christophe Peugeot, and Luc Seguis

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Feb 2016	31	21	3	55
Mar 2016	45	20	0	65
Apr 2016	39	10	0	49
May 2016	11	5	0	16
Jun 2016	6	2	0	8
Jul 2016	111	38	0	149
Aug 2016	86	11	1	98
Sep 2016	87	8	1	96
Oct 2016	53	4	5	62
Nov 2016	32	5	5	42
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Mar 2023	38	4	0	42
Apr 2023	11	10	4	25
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Jun 2023	28	3	0	31
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Mar 2024	13	20	4	37
Apr 2024	19	18	4	41
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Jun 2024	20	26	3	49
Jul 2024	15	19	1	35
Aug 2024	32	35	1	68
Sep 2024	6	14	0	20
Oct 2024	14	11	1	26
Nov 2024	6	6	0	12
Dec 2024	15	9	4	28
Jan 2025	17	11	4	32
Feb 2025	30	12	2	44
Mar 2025	14	8	0	22
Apr 2025	28	12	2	42
May 2025	17	10	1	28
Jun 2025	39	15	0	54
Jul 2025	23	17	2	42
Aug 2025	21	20	2	43
Sep 2025	33	11	1	45
Oct 2025	34	19	2	55
Nov 2025	11	11	0	22

Cumulative views and downloads (calculated since 19 Jan 2016)

Month	HTML	PDF	XML	Total
Jan 2016	85	38	0	123
Feb 2016	31	21	3	55
Mar 2016	45	20	0	65
Apr 2016	39	10	0	49
May 2016	11	5	0	16
Jun 2016	6	2	0	8
Jul 2016	111	38	0	149
Aug 2016	86	11	1	98
Sep 2016	87	8	1	96
Oct 2016	53	4	5	62
Nov 2016	32	5	5	42
Dec 2016	20	7	1	28
Jan 2017	16	8	0	24
Feb 2017	13	9	1	23
Mar 2017	16	12	4	32
Apr 2017	27	15	2	44
May 2017	23	15	1	39
Jun 2017	28	13	1	42
Jul 2017	22	14	0	36
Aug 2017	10	11	0	21
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Oct 2017	3	10	0	13
Nov 2017	9	13	1	23
Dec 2017	9	13	0	22
Jan 2018	7	12	1	20
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Feb 2021	15	6	0	21
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Jan 2023	17	13	1	31
Feb 2023	23	7	1	31
Mar 2023	38	4	0	42
Apr 2023	11	10	4	25
May 2023	21	9	0	30
Jun 2023	28	3	0	31
Jul 2023	14	11	2	27
Aug 2023	17	11	2	30
Sep 2023	6	10	1	17
Oct 2023	17	13	1	31
Nov 2023	11	2	1	14
Dec 2023	21	12	2	35
Jan 2024	14	12	1	27
Feb 2024	12	9	2	23
Mar 2024	13	20	4	37
Apr 2024	19	18	4	41
May 2024	12	39	4	55
Jun 2024	20	26	3	49
Jul 2024	15	19	1	35
Aug 2024	32	35	1	68
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Oct 2024	14	11	1	26
Nov 2024	6	6	0	12
Dec 2024	15	9	4	28
Jan 2025	17	11	4	32
Feb 2025	30	12	2	44
Mar 2025	14	8	0	22
Apr 2025	28	12	2	42
May 2025	17	10	1	28
Jun 2025	39	15	0	54
Jul 2025	23	17	2	42
Aug 2025	21	20	2	43
Sep 2025	33	11	1	45
Oct 2025	34	19	2	55
Nov 2025	11	11	0	22

Latest update: 17 Nov 2025

Short summary

Water is one of the most valuable resources and has an undeniable influence on every aspect of life. Being a very good indicator of the water cycle, the soil water content can be monitored by satellites from space. The region studied here is located in Benin, West Africa, where people have to face major water-related risks every year during the monsoon season. By adjusting the model simulations with satellite observations, river discharge and water table levels have greatly been improved.