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| 100 | 1 | _ | |a Heistermann, Maik |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a 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 |
| 260 | _ | _ | |a Katlenburg-Lindau |c 2022 |b Copernics Publications |
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| 520 | _ | _ | |a Cosmic-ray neutron sensing (CRNS) has become an effective method to measure soil moisture at a horizontal scale of hundreds of metres and a depth of decimetres. Recent studies proposed operating CRNS in a network with overlapping footprints in order to cover root-zone water dynamics at the small catchment scale and, at the same time, to represent spatial heterogeneity. In a joint field campaign from September to November 2020 (JFC-2020), five German research institutions deployed 15 CRNS sensors in the 0.4 km2 Wüstebach catchment (Eifel mountains, Germany). The catchment is dominantly forested (but includes a substantial fraction of open vegetation) and features a topographically distinct catchment boundary. In addition to the dense CRNS coverage, the campaign featured a unique combination of additional instruments and techniques: hydro-gravimetry (to detect water storage dynamics also below the root zone); ground-based and, for the first time, airborne CRNS roving; an extensive wireless soil sensor network, supplemented by manual measurements; and six weighable lysimeters. Together with comprehensive data from the long-term local research infrastructure, the published data set (available at https://doi.org/10.23728/b2share.756ca0485800474e9dc7f5949c63b872; Heistermann et al., 2022) will be a valuable asset in various research contexts: to advance the retrieval of landscape water storage from CRNS, wireless soil sensor networks, or hydrogravimetry; to identify scale-specific combinations of sensors and methods to represent soil moisture variability; to improve the understanding and simulation of land–atmosphere exchange as well as hydrological and hydrogeological processes at the hillslope and the catchment scale; and to support the retrieval of soil water content from airborne and spaceborne remote sensing platforms. |
| 536 | _ | _ | |a 2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217) |0 G:(DE-HGF)POF4-2173 |c POF4-217 |x 0 |f POF IV |
| 536 | _ | _ | |a DFG project 357874777 - FOR 2694: Large-Scale and High-Resolution Mapping of Soil Moisture on Field and Catchment Scales - Boosted by Cosmic-Ray Neutrons |0 G:(GEPRIS)357874777 |c 357874777 |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
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| 700 | 1 | _ | |a Francke, Till |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Güntner, Andreas |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Jakobi, Jannis |0 P:(DE-Juel1)169718 |b 4 |
| 700 | 1 | _ | |a Rasche, Daniel |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Schrön, Martin |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Döpper, Veronika |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Fersch, Benjamin |0 P:(DE-HGF)0 |b 8 |
| 700 | 1 | _ | |a Groh, Jannis |0 P:(DE-Juel1)158034 |b 9 |
| 700 | 1 | _ | |a Patil, Amol |0 P:(DE-HGF)0 |b 10 |
| 700 | 1 | _ | |a Pütz, Thomas |0 P:(DE-Juel1)129523 |b 11 |
| 700 | 1 | _ | |a Reich, Marvin |0 P:(DE-HGF)0 |b 12 |
| 700 | 1 | _ | |a Zacharias, Steffen |0 P:(DE-HGF)0 |b 13 |
| 700 | 1 | _ | |a Zengerle, Carmen |0 P:(DE-HGF)0 |b 14 |
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