The integrated water balance and soil data set of the Rollesbroich
hydrological observatory

Qu, Wei; Bogena, Heye R.; Huisman, Johan A.; Schmidt, Marius; Kunkel, Ralf; Weuthen, Ansgar; Schiedung, Henning; Schilling, Bernd; Sorg, Jürgen; Vereecken, Harry

doi:10.5194/essd-8-517-2016

Articles | Volume 8, issue 2

https://doi.org/10.5194/essd-8-517-2016

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

https://doi.org/10.5194/essd-8-517-2016

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

Articles | Volume 8, issue 2

Review article

|

20 Oct 2016

Review article |

| 20 Oct 2016

The integrated water balance and soil data set of the Rollesbroich hydrological observatory

Wei Qu, Heye R. Bogena, Johan A. Huisman, Marius Schmidt, Ralf Kunkel, Ansgar Weuthen, Henning Schiedung, Bernd Schilling, Jürgen Sorg, and Harry Vereecken

Viewed

Total article views: 5,805 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
2,549	2,458	798	5,805	226	226

HTML: 2,549
PDF: 2,458
XML: 798
Total: 5,805
BibTeX: 226
EndNote: 226

Views and downloads (calculated since 06 Jun 2016)

Month	HTML	PDF	XML	Total
Jun 2016	50	19	1	70
Jul 2016	33	10	1	44
Aug 2016	18	8	1	27
Sep 2016	11	6	0	17
Oct 2016	38	23	1	62
Nov 2016	30	17	0	47
Dec 2016	20	8	0	28
Jan 2017	34	23	1	58
Feb 2017	20	13	4	37
Mar 2017	31	21	10	62
Apr 2017	43	25	16	84
May 2017	38	31	15	84
Jun 2017	52	23	13	88
Jul 2017	26	28	8	62
Aug 2017	20	30	9	59
Sep 2017	20	32	16	68
Oct 2017	28	30	12	70
Nov 2017	9	26	9	44
Dec 2017	9	30	8	47
Jan 2018	22	45	13	80
Feb 2018	36	33	8	77
Mar 2018	23	33	20	76
Apr 2018	20	32	15	67
May 2018	19	32	19	70
Jun 2018	19	45	11	75
Jul 2018	12	38	15	65
Aug 2018	13	25	6	44
Sep 2018	19	21	9	49
Oct 2018	15	37	13	65
Nov 2018	19	28	15	62
Dec 2018	20	20	11	51
Jan 2019	11	27	16	54
Feb 2019	12	27	11	50
Mar 2019	13	24	5	42
Apr 2019	14	32	7	53
May 2019	10	21	15	46
Jun 2019	15	31	9	55
Jul 2019	13	28	8	49
Aug 2019	7	28	25	60
Sep 2019	5	32	15	52
Oct 2019	15	17	9	41
Nov 2019	16	27	18	61
Dec 2019	16	30	9	55
Jan 2020	17	14	9	40
Feb 2020	11	16	5	32
Mar 2020	15	27	7	49
Apr 2020	8	17	1	26
May 2020	6	7	9	22
Jun 2020	38	34	2	74
Jul 2020	43	60	32	135
Aug 2020	7	10	8	25
Sep 2020	22	24	2	48
Oct 2020	29	26	10	65
Nov 2020	20	22	0	42
Dec 2020	29	26	3	58
Jan 2021	28	34	10	72
Feb 2021	25	23	5	53
Mar 2021	27	27	6	60
Apr 2021	20	24	6	50
May 2021	15	29	4	48
Jun 2021	21	28	4	53
Jul 2021	9	20	13	42
Aug 2021	13	21	17	51
Sep 2021	18	17	6	41
Oct 2021	13	48	3	64
Nov 2021	28	61	11	100
Dec 2021	23	16	13	52
Jan 2022	17	19	2	38
Feb 2022	14	18	2	34
Mar 2022	18	21	10	49
Apr 2022	17	15	7	39
May 2022	33	28	7	68
Jun 2022	39	26	3	68
Jul 2022	27	25	5	57
Aug 2022	25	23	8	56
Sep 2022	13	30	6	49
Oct 2022	23	22	9	54
Nov 2022	17	21	7	45
Dec 2022	20	10	5	35
Jan 2023	25	20	4	49
Feb 2023	28	14	4	46
Mar 2023	63	14	12	89
Apr 2023	23	11	8	42
May 2023	31	12	2	45
Jun 2023	42	4	0	46
Jul 2023	31	13	2	46
Aug 2023	11	11	2	24
Sep 2023	15	11	1	27
Oct 2023	26	7	2	35
Nov 2023	6	4	0	10
Dec 2023	21	7	3	31
Jan 2024	15	16	1	32
Feb 2024	9	17	2	28
Mar 2024	19	19	4	42
Apr 2024	24	13	9	46
May 2024	23	16	8	47
Jun 2024	19	15	4	38
Jul 2024	18	7	7	32
Aug 2024	47	7	6	60
Sep 2024	11	5	0	16
Oct 2024	37	12	1	50
Nov 2024	28	5	0	33
Dec 2024	26	14	10	50
Jan 2025	30	7	5	42
Feb 2025	20	7	0	27
Mar 2025	20	7	0	27
Apr 2025	16	18	5	39
May 2025	23	7	1	31
Jun 2025	38	16	3	57
Jul 2025	32	19	1	52
Aug 2025	28	18	2	48
Sep 2025	39	19	1	59
Oct 2025	20	41	1	62
Nov 2025	23	20	3	46

Cumulative views and downloads (calculated since 06 Jun 2016)

Month	HTML	PDF	XML	Total
Jun 2016	50	19	1	70
Jul 2016	33	10	1	44
Aug 2016	18	8	1	27
Sep 2016	11	6	0	17
Oct 2016	38	23	1	62
Nov 2016	30	17	0	47
Dec 2016	20	8	0	28
Jan 2017	34	23	1	58
Feb 2017	20	13	4	37
Mar 2017	31	21	10	62
Apr 2017	43	25	16	84
May 2017	38	31	15	84
Jun 2017	52	23	13	88
Jul 2017	26	28	8	62
Aug 2017	20	30	9	59
Sep 2017	20	32	16	68
Oct 2017	28	30	12	70
Nov 2017	9	26	9	44
Dec 2017	9	30	8	47
Jan 2018	22	45	13	80
Feb 2018	36	33	8	77
Mar 2018	23	33	20	76
Apr 2018	20	32	15	67
May 2018	19	32	19	70
Jun 2018	19	45	11	75
Jul 2018	12	38	15	65
Aug 2018	13	25	6	44
Sep 2018	19	21	9	49
Oct 2018	15	37	13	65
Nov 2018	19	28	15	62
Dec 2018	20	20	11	51
Jan 2019	11	27	16	54
Feb 2019	12	27	11	50
Mar 2019	13	24	5	42
Apr 2019	14	32	7	53
May 2019	10	21	15	46
Jun 2019	15	31	9	55
Jul 2019	13	28	8	49
Aug 2019	7	28	25	60
Sep 2019	5	32	15	52
Oct 2019	15	17	9	41
Nov 2019	16	27	18	61
Dec 2019	16	30	9	55
Jan 2020	17	14	9	40
Feb 2020	11	16	5	32
Mar 2020	15	27	7	49
Apr 2020	8	17	1	26
May 2020	6	7	9	22
Jun 2020	38	34	2	74
Jul 2020	43	60	32	135
Aug 2020	7	10	8	25
Sep 2020	22	24	2	48
Oct 2020	29	26	10	65
Nov 2020	20	22	0	42
Dec 2020	29	26	3	58
Jan 2021	28	34	10	72
Feb 2021	25	23	5	53
Mar 2021	27	27	6	60
Apr 2021	20	24	6	50
May 2021	15	29	4	48
Jun 2021	21	28	4	53
Jul 2021	9	20	13	42
Aug 2021	13	21	17	51
Sep 2021	18	17	6	41
Oct 2021	13	48	3	64
Nov 2021	28	61	11	100
Dec 2021	23	16	13	52
Jan 2022	17	19	2	38
Feb 2022	14	18	2	34
Mar 2022	18	21	10	49
Apr 2022	17	15	7	39
May 2022	33	28	7	68
Jun 2022	39	26	3	68
Jul 2022	27	25	5	57
Aug 2022	25	23	8	56
Sep 2022	13	30	6	49
Oct 2022	23	22	9	54
Nov 2022	17	21	7	45
Dec 2022	20	10	5	35
Jan 2023	25	20	4	49
Feb 2023	28	14	4	46
Mar 2023	63	14	12	89
Apr 2023	23	11	8	42
May 2023	31	12	2	45
Jun 2023	42	4	0	46
Jul 2023	31	13	2	46
Aug 2023	11	11	2	24
Sep 2023	15	11	1	27
Oct 2023	26	7	2	35
Nov 2023	6	4	0	10
Dec 2023	21	7	3	31
Jan 2024	15	16	1	32
Feb 2024	9	17	2	28
Mar 2024	19	19	4	42
Apr 2024	24	13	9	46
May 2024	23	16	8	47
Jun 2024	19	15	4	38
Jul 2024	18	7	7	32
Aug 2024	47	7	6	60
Sep 2024	11	5	0	16
Oct 2024	37	12	1	50
Nov 2024	28	5	0	33
Dec 2024	26	14	10	50
Jan 2025	30	7	5	42
Feb 2025	20	7	0	27
Mar 2025	20	7	0	27
Apr 2025	16	18	5	39
May 2025	23	7	1	31
Jun 2025	38	16	3	57
Jul 2025	32	19	1	52
Aug 2025	28	18	2	48
Sep 2025	39	19	1	59
Oct 2025	20	41	1	62
Nov 2025	23	20	3	46

Latest update: 24 Nov 2025

Short summary

The Rollesbroich catchment is a hydrological observatory of the TERENO (Terrestrial Environmental Observatories) initiative. Hydrometeorological data and spatiotemporal variations in soil water content are measured at high temporal resolution and can be used for many purposes, e.g. validation of remote sensing retrievals, improving hydrological understanding, optimizing data assimilation and inverse modelling techniques. The data set is freely available online (http://www.tereno.net).