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@ARTICLE{Fersch:886000,
      author       = {Fersch, Benjamin and Francke, Till and Heistermann, Maik
                      and Schrön, Martin and Döpper, Veronika and Jakobi, Jannis
                      and Baroni, Gabriele and Blume, Theresa and Bogena, Heye and
                      Budach, Christian and Gränzig, Tobias and Förster, Michael
                      and Güntner, Andreas and Hendricks Franssen, Harrie-Jan and
                      Kasner, Mandy and Köhli, Markus and Kleinschmit, Birgit and
                      Kunstmann, Harald and Patil, Amol and Rasche, Daniel and
                      Scheiffele, Lena and Schmidt, Ulrich and Szulc-Seyfried,
                      Sandra and Weimar, Jannis and Zacharias, Steffen and Zreda,
                      Marek and Heber, Bernd and Kiese, Ralf and Mares, Vladimir
                      and Mollenhauer, Hannes and Völksch, Ingo and Oswald,
                      Sascha},
      title        = {{A} dense network of cosmic-ray neutron sensors for soil
                      moisture observation in a highly instrumented pre-{A}lpine
                      headwater catchment in {G}ermany},
      journal      = {Earth system science data},
      volume       = {12},
      number       = {3},
      issn         = {1866-3516},
      address      = {Katlenburg-Lindau},
      publisher    = {Copernics Publications},
      reportid     = {FZJ-2020-04222},
      pages        = {2289 - 2309},
      year         = {2020},
      abstract     = {Monitoring soil moisture is still a challenge: it varies
                      strongly in space and time and at various scales while
                      conventional sensors typically suffer from small spatial
                      support. With a sensor footprint up to several hectares,
                      cosmic-ray neutron sensing (CRNS) is a modern technology to
                      address that challenge.So far, the CRNS method has typically
                      been applied with single sensors or in sparse national-scale
                      networks. This study presents, for the first time, a dense
                      network of 24 CRNS stations that covered, from May to July
                      2019, an area of just 1 km2: the pre-Alpine Rott headwater
                      catchment in Southern Germany, which is characterized by
                      strong soil moisture gradients in a heterogeneous landscape
                      with forests and grasslands. With substantially overlapping
                      sensor footprints, this network was designed to study
                      root-zone soil moisture dynamics at the catchment scale. The
                      observations of the dense CRNS network were complemented by
                      extensive measurements that allow users to study soil
                      moisture variability at various spatial scales: roving
                      (mobile) CRNS units, remotely sensed thermal images from
                      unmanned areal systems (UASs), permanent and temporary
                      wireless sensor networks, profile probes, and comprehensive
                      manual soil sampling. Since neutron counts are also affected
                      by hydrogen pools other than soil moisture, vegetation
                      biomass was monitored in forest and grassland patches, as
                      well as meteorological variables; discharge and groundwater
                      tables were recorded to support hydrological modeling
                      experiments.As a result, we provide a unique and
                      comprehensive data set to several research communities: to
                      those who investigate the retrieval of soil moisture from
                      cosmic-ray neutron sensing, to those who study the
                      variability of soil moisture at different spatiotemporal
                      scales, and to those who intend to better understand the
                      role of root-zone soil moisture dynamics in the context of
                      catchment and groundwater hydrology, as well as
                      land–atmosphere exchange processes.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255) / 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)POF3-255 / G:(GEPRIS)357874777},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000575446500001},
      doi          = {10.5194/essd-12-2289-2020},
      url          = {https://juser.fz-juelich.de/record/886000},
}