TY  - JOUR
AU  - Heistermann, Maik
AU  - Bogena, Heye
AU  - Francke, Till
AU  - Güntner, Andreas
AU  - Jakobi, Jannis
AU  - Rasche, Daniel
AU  - Schrön, Martin
AU  - Döpper, Veronika
AU  - Fersch, Benjamin
AU  - Groh, Jannis
AU  - Patil, Amol
AU  - Pütz, Thomas
AU  - Reich, Marvin
AU  - Zacharias, Steffen
AU  - Zengerle, Carmen
AU  - Oswald, Sascha
TI  - 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
JO  - Earth system science data
VL  - 14
IS  - 5
SN  - 1866-3508
CY  - Katlenburg-Lindau
PB  - Copernics Publications
M1  - FZJ-2022-02284
SP  - 2501 - 2519
PY  - 2022
AB  - 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.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000804053300001
DO  - DOI:10.5194/essd-14-2501-2022
UR  - https://juser.fz-juelich.de/record/907942
ER  -