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:https://doi.org/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

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Final revised paper (published on 20 Oct 2016)
Preprint (discussion started on 06 Jun 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review: The integrated water balance and soil data set of the Rollesbroich hydrological observatory', Anonymous Referee #1, 12 Jul 2016
- AC1: 'Response to Interactive comment by Referee #1', Heye Bogena, 27 Jul 2016
RC2: 'Review of “The integrated water balance and soil data set of the Rollesbroich hydrological observatory”', Anonymous Referee #2, 26 Jul 2016
- AC2: 'Response to Interactive comment by Referee #2', Heye Bogena, 27 Jul 2016
RC3: 'Review of submitted manuscript and data set "The integrated water balance ...""', Anonymous Referee #3, 24 Aug 2016
- AC3: 'Response to Interactive comment by Referee #3', Heye Bogena, 29 Aug 2016

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).