Articles | Volume 8, issue 2
https://doi.org/10.5194/essd-8-517-2016
https://doi.org/10.5194/essd-8-517-2016
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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Cited articles

Ali, M., Montzka, C., Stadler, A., Menz, G., and Vereecken, H.: Estimation and validation of leaf area index time series for crops on 5 m scale from space, International Geosciences and Remote Sensing Symposium (IGARSS), Melbourne, Australia, 21–26 July 2013.
Albertson, J. D. and Kiely, G.: On the structure of soil moisture time series in the context of land surface models, J. Hydrol., 243, 101–119, 2001.
Allen, R. G., Pruitt, W. O., Wright, J. L., Howell, T. A., Ventura, F., Snyder, R., Itenfisu, D., Steduto, P., Berengena, J., Yrisarry, J. B., Smith, M., Pereira, L. S., Raes, D., Perrier, A., Alves, I., Walter, I., and Elliott, R.: A recommendation on standardized surface resistance for hourly calculation of reference eto by the fao56 penman-monteith method, Agr. Water Manage., 81, 1–22, 2006.
Baatz, R., Bogena, H., Hendricks Franssen, H.-J., Huisman, J. A., Wei, Q., Montzka, C., and Vereecken, H.: Calibration of a catchment scale cosmic-ray soil moisture network: A comparison of three different methods, J. Hydrol., 516, 231–244, 2014.
Baatz, R., Bogena, H., Hendricks Franssen, H.-J., Huisman, J. A., Montzka, C., and Vereecken, H.: An empirical vegetation correction for soil water content quantification using cosmic ray probes, Water Resour. Res., 51, 2030–2046, 2015.
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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).
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