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A dense network of cosmic-ray neutron sensors for soil moisture observation in a highly instrumented pre-Alpine headwater catchment in Germany

Fersch, Benjamin ORCID iD icon 1; Francke, Till; Heistermann, Maik; Schrön, Martin; Döpper, Veronika; Jakobi, Jannis; Baroni, Gabriele; Blume, Theresa; Bogena, Heye; Budach, Christian; Gränzig, Tobias; Förster, Michael; Güntner, Andreas; Hendricks Franssen, Harrie-Jan; Kasner, Mandy; Köhli, Markus; Kleinschmit, Birgit; Kunstmann, Harald 1; Patil, Amol; ... mehr


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. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000124064
Veröffentlicht am 30.09.2020
Preprint §
DOI: 10.5445/IR/1000124064/pre
Veröffentlicht am 30.09.2020
DOI: 10.5194/essd-12-2289-2020
Zitationen: 29
Web of Science
Zitationen: 27
Zitationen: 37
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1866-3516
KITopen-ID: 1000124064
HGF-Programm 12.02.03 (POF III, LK 01) Regional Climate-and Water Cycle Variab.
Erschienen in Earth System Science Data
Verlag Copernicus Publications
Band 12
Heft 3
Seiten 2289–2309
Vorab online veröffentlicht am 23.09.2020
Nachgewiesen in Scopus
Web of Science
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