Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-2289-2020
© Author(s) 2020. 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-12-2289-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
23 Sep 2020
Data description paper |
| 23 Sep 2020
| 23 Sep 2020
A dense network of cosmic-ray neutron sensors for soil moisture observation in a highly instrumented pre-Alpine headwater catchment in Germany
Karlsruhe Institute of Technology, Campus Alpin (IMK-IFU), Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Till Francke
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Maik Heistermann
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
Jannis Jakobi
Agrosphere IBG-3, Forschungszentrum Jülich GmbH (FZJ), Leo-Brandt-Straße, 52425 Jülich, Germany
Gabriele Baroni
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 50, 40127 Bologna, Italy
Theresa Blume
Section 4.4: Hydrology, German Research Centre for Geosciences (GFZ), Telegrafenberg, 14473 Potsdam, Germany
Heye Bogena
Agrosphere IBG-3, Forschungszentrum Jülich GmbH (FZJ), Leo-Brandt-Straße, 52425 Jülich, Germany
Christian Budach
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Tobias Gränzig
Geoinformation for Environmental Planning Lab, Technical University of Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany
Michael Förster
Geoinformation for Environmental Planning Lab, Technical University of Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany
Andreas Güntner
Section 4.4: Hydrology, German Research Centre for Geosciences (GFZ), Telegrafenberg, 14473 Potsdam, Germany
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Harrie-Jan Hendricks Franssen
Agrosphere IBG-3, Forschungszentrum Jülich GmbH (FZJ), Leo-Brandt-Straße, 52425 Jülich, Germany
Mandy Kasner
Department of Monitoring and Exploration Technologies, UFZ – Helmholtz Centre for Environmental Research GmbH, Permoserstr. 15, 04318, Leipzig, Germany
Markus Köhli
Physikalisches Institut, Heidelberg University, Im Neuenheimer Feld 226, 69120 Heidelberg, Germany
Physikalisches Institut, University of Bonn, Nussallee 12, 53115 Bonn, Germany
Birgit Kleinschmit
Geoinformation for Environmental Planning Lab, Technical University of Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany
Harald Kunstmann
Karlsruhe Institute of Technology, Campus Alpin (IMK-IFU), Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Institute of Geography, University of Augsburg, Alter Postweg 118, 86159 Augsburg, Germany
Amol Patil
Institute of Geography, University of Augsburg, Alter Postweg 118, 86159 Augsburg, Germany
Daniel Rasche
Section 4.4: Hydrology, German Research Centre for Geosciences (GFZ), Telegrafenberg, 14473 Potsdam, Germany
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Lena Scheiffele
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Ulrich Schmidt
Physikalisches Institut, Heidelberg University, Im Neuenheimer Feld 226, 69120 Heidelberg, Germany
Sandra Szulc-Seyfried
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Jannis Weimar
Physikalisches Institut, Heidelberg University, Im Neuenheimer Feld 226, 69120 Heidelberg, Germany
Steffen Zacharias
Department of Monitoring and Exploration Technologies, UFZ – Helmholtz Centre for Environmental Research GmbH, Permoserstr. 15, 04318, Leipzig, Germany
Marek Zreda
Department of Hydrology and Atmospheric Sciences, University of Arizona, 1133 E. James E. Rogers Way, 85721-0011 Tucson, Arizona, USA
Bernd Heber
Institute of Experimental and Applied Physics, University of Kiel, Leibnizstraße 11, 24118 Kiel, Germany
Ralf Kiese
Karlsruhe Institute of Technology, Campus Alpin (IMK-IFU), Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Vladimir Mares
Helmholtz Zentrum München, Institute of Radiation Medicine, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany
Hannes Mollenhauer
Department of Monitoring and Exploration Technologies, UFZ – Helmholtz Centre for Environmental Research GmbH, Permoserstr. 15, 04318, Leipzig, Germany
Ingo Völksch
Karlsruhe Institute of Technology, Campus Alpin (IMK-IFU), Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Sascha Oswald
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
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38 citations as recorded by crossref.
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37 citations as recorded by crossref.
- Correction efficiency and error characteristics for cosmic-ray soil moisture on mountainous terrain J. Jeong et al. 10.1016/j.jhydrol.2021.126657
- Combining static and portable Cosmic ray neutron sensor data to assess catchment scale heterogeneity in soil water storage and their integrated role in catchment runoff response K. Dimitrova-Petrova et al. 10.1016/j.jhydrol.2021.126659
- Dynamic groundwater recharge simulations based on cosmic‐ray neutron sensing in a tropical wet experimental basin L. Barbosa et al. 10.1002/vzj2.20145
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- 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 et al. 10.5194/essd-14-2501-2022
- Testing a novel sensor design to jointly measure cosmic-ray neutrons, muons and gamma rays for non-invasive soil moisture estimation S. Gianessi et al. 10.5194/gi-13-9-2024
- COSMOS-UK: national soil moisture and hydrometeorology data for environmental science research H. Cooper et al. 10.5194/essd-13-1737-2021
- Recent Developments in Wireless Soil Moisture Sensing to Support Scientific Research and Agricultural Management H. Bogena et al. 10.3390/s22249792
- Toward Large‐Scale Soil Moisture Monitoring Using Rail‐Based Cosmic Ray Neutron Sensing D. Altdorff et al. 10.1029/2022WR033514
- Following the cosmic-ray-neutron-sensing-based soil moisture under grassland and forest: Exploring the potential of optical and SAR remote sensing V. Döpper et al. 10.1016/j.srs.2022.100056
- A profile shape correction to reduce the vertical sensitivity of cosmic‐ray neutron sensing of soil moisture L. Scheiffele et al. 10.1002/vzj2.20083
- Spatio-temporal soil moisture retrieval at the catchment scale using a dense network of cosmic-ray neutron sensors M. Heistermann et al. 10.5194/hess-25-4807-2021
- Assimilation of Cosmogenic Neutron Counts for Improved Soil Moisture Prediction in a Distributed Land Surface Model A. Patil et al. 10.3389/frwa.2021.729592
- Employing NDVI as vegetation correction variable to improve soil moisture measurements of mobile cosmic-ray neutron sensor near the Qilian Mountains S. Wu et al. 10.1016/j.geoderma.2023.116764
- Modeling Soil Water Content and Crop-Growth Metrics in a Wheat Field in the North China Plain Using RZWQM2 K. Du et al. 10.3390/agronomy11061245
- Cosmic-Ray neutron Sensor PYthon tool (crspy 1.2.1): an open-source tool for the processing of cosmic-ray neutron and soil moisture data D. Power et al. 10.5194/gmd-14-7287-2021
- Lateral terrestrial water fluxes in the LSM of WRF‐Hydro: Benefits of a 2D groundwater representation T. Rummler et al. 10.1002/hyp.14510
- Three years of soil moisture observations by a dense cosmic-ray neutron sensing cluster at an agricultural research site in north-east Germany M. Heistermann et al. 10.5194/essd-15-3243-2023
- Ground Truth Validation of Sentinel-2 Data Using Mobile Wireless Ad Hoc Sensor Networks (MWSN) in Vegetation Stands H. Mollenhauer et al. 10.3390/rs15194663
- Advancing Hydrology through Machine Learning: Insights, Challenges, and Future Directions Using the CAMELS, Caravan, GRDC, CHIRPS, PERSIANN, NLDAS, GLDAS, and GRACE Datasets F. Hasan et al. 10.3390/w16131904
- A New Non-Inserted and Portable FDR Instrument for Measuring Surface Soil Water Content Y. Qiao et al. 10.3390/w13192712
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- Evaluation of low-cost electronic sensors for monitoring soil moisture in an experimental area in the Brazilian semiarid M. Cruz Macedo dos Santos et al. 10.1108/SR-09-2021-0316
- Neutrons on Rails: Transregional Monitoring of Soil Moisture and Snow Water Equivalent M. Schrön et al. 10.1029/2021GL093924
- Mesoscale soil moisture measurements along the rover route using the mobile cosmic-ray neutron sensing in the eastern Tibetan Plateau Y. Zhang et al. 10.1016/j.geoderma.2024.117046
- Technical Note: Revisiting the general calibration of cosmic-ray neutron sensors to estimate soil water content M. Heistermann et al. 10.5194/hess-28-989-2024
- Environmental Monitoring Possibilities Using Cosmic Ray Secondary Components P. Kobelev et al. 10.3103/S1062873823702465
- Can a Sparse Network of Cosmic Ray Neutron Sensors Improve Soil Moisture and Evapotranspiration Estimation at the Larger Catchment Scale? F. Li et al. 10.1029/2023WR035056
- Signal contribution of distant areas to cosmic-ray neutron sensors – implications for footprint and sensitivity M. Schrön et al. 10.5194/hess-27-723-2023
- A study of field-scale soil moisture variability using the COsmic-ray Soil Moisture Observing System (COSMOS) at IITM Pune site M. Mujumdar et al. 10.1016/j.jhydrol.2021.126102
- Assessing the feasibility of a directional cosmic-ray neutron sensing sensor for estimating soil moisture T. Francke et al. 10.5194/gi-11-75-2022
- Towards disentangling heterogeneous soil moisture patterns in cosmic-ray neutron sensor footprints D. Rasche et al. 10.5194/hess-25-6547-2021
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- Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning V. Döpper et al. 10.1016/j.jag.2022.102817
- Mesoscale soil moisture survey by mobile cosmic-ray neutron sensor across various landscapes in the Heihe River Basin S. Wu et al. 10.1016/j.rcar.2024.01.001
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