% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @ARTICLE{Heistermann:907942, author = {Heistermann, Maik and Bogena, Heye and Francke, Till and Güntner, Andreas and Jakobi, Jannis and Rasche, Daniel and Schrön, Martin and Döpper, Veronika and Fersch, Benjamin and Groh, Jannis and Patil, Amol and Pütz, Thomas and Reich, Marvin and Zacharias, Steffen and Zengerle, Carmen and Oswald, Sascha}, title = {{S}oil moisture observation in a forested headwater catchment: combining a dense cosmic-ray neutron sensor network with roving and hydrogravimetry at the {TERENO} site {W}üstebach}, journal = {Earth system science data}, volume = {14}, number = {5}, issn = {1866-3508}, address = {Katlenburg-Lindau}, publisher = {Copernics Publications}, reportid = {FZJ-2022-02284}, pages = {2501 - 2519}, year = {2022}, abstract = {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.}, cin = {IBG-3}, ddc = {550}, cid = {I:(DE-Juel1)IBG-3-20101118}, pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217) / DFG project 357874777 - FOR 2694: Large-Scale and High-Resolution Mapping of Soil Moisture on Field and Catchment Scales - Boosted by Cosmic-Ray Neutrons}, pid = {G:(DE-HGF)POF4-2173 / G:(GEPRIS)357874777}, typ = {PUB:(DE-HGF)16}, UT = {WOS:000804053300001}, doi = {10.5194/essd-14-2501-2022}, url = {https://juser.fz-juelich.de/record/907942}, }