Multi-source data assimilation for physically based hydrological modeling of an experimental hillslope

Botto, Anna; Belluco, Enrica; Camporese, Matteo

doi:10.5194/hess-22-4251-2018

Articles | Volume 22, issue 8

https://doi.org/10.5194/hess-22-4251-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-22-4251-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 8

Research article

|

13 Aug 2018

Research article |

| 13 Aug 2018

Multi-source data assimilation for physically based hydrological modeling of an experimental hillslope

Anna Botto, Enrica Belluco, and Matteo Camporese

Viewed

Total article views: 5,216 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
3,558	1,561	97	5,216	129	143

HTML: 3,558
PDF: 1,561
XML: 97
Total: 5,216
BibTeX: 129
EndNote: 143

Views and downloads (calculated since 31 Jan 2018)

Month	HTML	PDF	XML	Total
Jan 2018	47	6	0	53
Feb 2018	181	36	8	225
Mar 2018	64	15	1	80
Apr 2018	30	15	0	45
May 2018	49	18	0	67
Jun 2018	22	8	0	30
Jul 2018	27	11	0	38
Aug 2018	253	78	4	335
Sep 2018	65	29	1	95
Oct 2018	21	19	0	40
Nov 2018	15	16	0	31
Dec 2018	16	20	1	37
Jan 2019	16	16	0	32
Feb 2019	11	11	0	22
Mar 2019	12	14	0	26
Apr 2019	17	16	0	33
May 2019	32	21	0	53
Jun 2019	40	18	0	58
Jul 2019	20	15	0	35
Aug 2019	14	9	0	23
Sep 2019	19	12	1	32
Oct 2019	40	29	1	70
Nov 2019	16	10	0	26
Dec 2019	21	19	1	41
Jan 2020	17	16	2	35
Feb 2020	16	10	1	27
Mar 2020	11	13	0	24
Apr 2020	15	8	0	23
May 2020	33	9	0	42
Jun 2020	14	10	0	24
Jul 2020	31	28	3	62
Aug 2020	9	68	1	78
Sep 2020	25	46	0	71
Oct 2020	8	19	1	28
Nov 2020	16	19	0	35
Dec 2020	6	7	0	13
Jan 2021	23	17	1	41
Feb 2021	16	12	0	28
Mar 2021	17	10	0	27
Apr 2021	11	10	0	21
May 2021	12	19	0	31
Jun 2021	15	10	1	26
Jul 2021	15	23	0	38
Aug 2021	17	20	0	37
Sep 2021	17	11	0	28
Oct 2021	9	32	0	41
Nov 2021	28	22	0	50
Dec 2021	21	16	0	37
Jan 2022	16	20	1	37
Feb 2022	9	8	1	18
Mar 2022	13	3	0	16
Apr 2022	11	9	1	21
May 2022	20	8	1	29
Jun 2022	11	6	0	17
Jul 2022	20	7	0	27
Aug 2022	104	12	1	117
Sep 2022	8	9	1	18
Oct 2022	21	10	1	32
Nov 2022	47	25	0	72
Dec 2022	46	18	0	64
Jan 2023	55	23	2	80
Feb 2023	60	20	0	80
Mar 2023	56	16	0	72
Apr 2023	24	9	1	34
May 2023	15	9	0	24
Jun 2023	20	11	0	31
Jul 2023	17	15	3	35
Aug 2023	13	19	3	35
Sep 2023	10	22	1	33
Oct 2023	20	10	1	31
Nov 2023	20	5	3	28
Dec 2023	19	6	3	28
Jan 2024	27	9	3	39
Feb 2024	43	27	1	71
Mar 2024	24	26	4	54
Apr 2024	19	14	2	35
May 2024	38	10	4	52
Jun 2024	68	7	3	78
Jul 2024	275	8	4	287
Aug 2024	61	10	1	72
Sep 2024	40	9	0	49
Oct 2024	57	4	1	62
Nov 2024	51	11	0	62
Dec 2024	38	7	4	49
Jan 2025	45	7	2	54
Feb 2025	50	43	0	93
Mar 2025	70	11	0	81
Apr 2025	45	17	3	65
May 2025	58	12	2	72
Jun 2025	68	17	1	86
Jul 2025	58	19	1	78
Aug 2025	66	11	3	80
Sep 2025	142	17	1	160
Oct 2025	62	30	2	94
Nov 2025	48	19	3	70

Cumulative views and downloads (calculated since 31 Jan 2018)

Month	HTML	PDF	XML	Total
Jan 2018	47	6	0	53
Feb 2018	181	36	8	225
Mar 2018	64	15	1	80
Apr 2018	30	15	0	45
May 2018	49	18	0	67
Jun 2018	22	8	0	30
Jul 2018	27	11	0	38
Aug 2018	253	78	4	335
Sep 2018	65	29	1	95
Oct 2018	21	19	0	40
Nov 2018	15	16	0	31
Dec 2018	16	20	1	37
Jan 2019	16	16	0	32
Feb 2019	11	11	0	22
Mar 2019	12	14	0	26
Apr 2019	17	16	0	33
May 2019	32	21	0	53
Jun 2019	40	18	0	58
Jul 2019	20	15	0	35
Aug 2019	14	9	0	23
Sep 2019	19	12	1	32
Oct 2019	40	29	1	70
Nov 2019	16	10	0	26
Dec 2019	21	19	1	41
Jan 2020	17	16	2	35
Feb 2020	16	10	1	27
Mar 2020	11	13	0	24
Apr 2020	15	8	0	23
May 2020	33	9	0	42
Jun 2020	14	10	0	24
Jul 2020	31	28	3	62
Aug 2020	9	68	1	78
Sep 2020	25	46	0	71
Oct 2020	8	19	1	28
Nov 2020	16	19	0	35
Dec 2020	6	7	0	13
Jan 2021	23	17	1	41
Feb 2021	16	12	0	28
Mar 2021	17	10	0	27
Apr 2021	11	10	0	21
May 2021	12	19	0	31
Jun 2021	15	10	1	26
Jul 2021	15	23	0	38
Aug 2021	17	20	0	37
Sep 2021	17	11	0	28
Oct 2021	9	32	0	41
Nov 2021	28	22	0	50
Dec 2021	21	16	0	37
Jan 2022	16	20	1	37
Feb 2022	9	8	1	18
Mar 2022	13	3	0	16
Apr 2022	11	9	1	21
May 2022	20	8	1	29
Jun 2022	11	6	0	17
Jul 2022	20	7	0	27
Aug 2022	104	12	1	117
Sep 2022	8	9	1	18
Oct 2022	21	10	1	32
Nov 2022	47	25	0	72
Dec 2022	46	18	0	64
Jan 2023	55	23	2	80
Feb 2023	60	20	0	80
Mar 2023	56	16	0	72
Apr 2023	24	9	1	34
May 2023	15	9	0	24
Jun 2023	20	11	0	31
Jul 2023	17	15	3	35
Aug 2023	13	19	3	35
Sep 2023	10	22	1	33
Oct 2023	20	10	1	31
Nov 2023	20	5	3	28
Dec 2023	19	6	3	28
Jan 2024	27	9	3	39
Feb 2024	43	27	1	71
Mar 2024	24	26	4	54
Apr 2024	19	14	2	35
May 2024	38	10	4	52
Jun 2024	68	7	3	78
Jul 2024	275	8	4	287
Aug 2024	61	10	1	72
Sep 2024	40	9	0	49
Oct 2024	57	4	1	62
Nov 2024	51	11	0	62
Dec 2024	38	7	4	49
Jan 2025	45	7	2	54
Feb 2025	50	43	0	93
Mar 2025	70	11	0	81
Apr 2025	45	17	3	65
May 2025	58	12	2	72
Jun 2025	68	17	1	86
Jul 2025	58	19	1	78
Aug 2025	66	11	3	80
Sep 2025	142	17	1	160
Oct 2025	62	30	2	94
Nov 2025	48	19	3	70

Viewed (geographical distribution)

Total article views: 5,216 (including HTML, PDF, and XML) Thereof 4,925 with geography defined and 291 with unknown origin.

Country	#	Views	%

1

1

Latest update: 25 Nov 2025

Short summary

We present a multivariate application of the ensemble Kalman filter (EnKF) in hydrological modeling of a real-world hillslope test case with dominant unsaturated dynamics and strong nonlinearities. Overall, the EnKF is able to correctly update system state and soil parameters. However, multivariate data assimilation may lead to significant tradeoffs between model predictions of different variables, if the observation data are not high quality or representative.


Total:	0
HTML:	0
PDF:	0
XML:	0


Total:	0
HTML:	0
PDF:	0
XML:	0


Total:	0
HTML:	0
PDF:	0
XML:	0