Articles | Volume 14, issue 5
https://doi.org/10.5194/essd-14-2501-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-2501-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
01 Jun 2022
Data description paper |
| 01 Jun 2022
| 01 Jun 2022
Soil moisture observation in a forested headwater catchment: combining a dense cosmic-ray neutron sensor network with roving and hydrogravimetry at the TERENO site Wüstebach
Maik Heistermann
CORRESPONDING AUTHOR
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Heye Bogena
Agrosphere IBG-3, Forschungszentrum Jülich GmbH, Leo-Brandt-Straße, 52425 Jülich, Germany
Till Francke
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Andreas Güntner
Section Hydrology, GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Jannis Jakobi
Agrosphere IBG-3, Forschungszentrum Jülich GmbH, Leo-Brandt-Straße, 52425 Jülich, Germany
Daniel Rasche
Section Hydrology, GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Martin Schrön
Department of Monitoring and Exploration Technologies, UFZ – Helmholtz Centre for Environmental Research GmbH, Permoserstr. 15, 04318, Leipzig, Germany
Veronika Döpper
Geoinformation for Environmental Planning Lab, Technical University of Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany
Benjamin Fersch
Campus Alpin (IMK-IFU), Karlsruhe Institute of Technology, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Jannis Groh
Agrosphere IBG-3, Forschungszentrum Jülich GmbH, Leo-Brandt-Straße, 52425 Jülich, Germany
Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Müncheberg, Germany
Soil Science and Soil Ecology Lab, Institute of Crop Science and Resource Conservation, University of Bonn, Nussallee 13, 53115 Bonn, Germany
Amol Patil
Institute of Geography, University of Augsburg, Alter Postweg 118, 86159 Augsburg, Germany
Thomas Pütz
Agrosphere IBG-3, Forschungszentrum Jülich GmbH, Leo-Brandt-Straße, 52425 Jülich, Germany
Marvin Reich
Section Hydrology, GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Steffen Zacharias
Department of Monitoring and Exploration Technologies, UFZ – Helmholtz Centre for Environmental Research GmbH, Permoserstr. 15, 04318, Leipzig, Germany
Carmen Zengerle
Department of Monitoring and Exploration Technologies, UFZ – Helmholtz Centre for Environmental Research GmbH, Permoserstr. 15, 04318, Leipzig, Germany
Sascha Oswald
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Data sets
Soil moisture observation in a forested headwater catchment: combining a dense cosmic-ray neutron sensor network with roving and hydrogravimetry at the TERENO site Wüstebach M. Heistermann, H. Bogena, T. Francke, A. Güntner, J. Jakobi, D. Rasche, M. Schrön, B. Fersch, J. Groh, A. Patil, T. Pütz, M. Reich, S. Zacharias, C. Zengerle, and S. Oswald https://doi.org/10.23728/b2share.756ca0485800474e9dc7f5949c63b872
Short summary
This paper presents a dense network of cosmic-ray neutron sensing (CRNS) to measure spatio-temporal soil moisture patterns during a 2-month campaign in the Wüstebach headwater catchment in Germany. Stationary, mobile, and airborne CRNS technology monitored the root-zone water dynamics as well as spatial heterogeneity in the 0.4 km2 area. The 15 CRNS stations were supported by a hydrogravimeter, biomass sampling, and a wireless soil sensor network to facilitate holistic hydrological analysis.
This paper presents a dense network of cosmic-ray neutron sensing (CRNS) to measure...
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