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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
Citation key Fersch2020
Author Fersch, B. and Francke, T. and Heistermann, M. and Schrön, M. and Döpper, V. and Jakobi, J. and Baroni, G. and Blume, T. and Bogena, H. and Budach, C. and Gränzig, T. and Förster, M. and Güntner, A. and Hendricks Franssen, H.J. and Kasner, M. and Köhli, M. and Kleinschmit, B. and Kunstmann, H. and Patil, A. and Rasche, D. and Scheiffele, L. and Schmidt, U. and Szulc-Seyfried, S. and Weimar, J. and Zacharias, S. and Zreda, M. and Heber, B. and Kiese, R. and Mares, V. and Mollenhauer, H. and Völksch, I. and Oswald, S.
Pages 2289-2309
Year 2020
ISSN 1866-3508
DOI https://doi.org/10.5194/essd-12-2289-2020
Journal Earth System Science Data
Volume 12
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. The data set is available through the EUDAT Collaborative Data Infrastructure and is split into two subsets: https://doi.org/10.23728/b2share.282675586fb94f44ab2fd09da0856883 [Titel anhand dieser DOI in Citavi-Projekt übernehmen] (Fersch et al., 2020a) and https://doi.org/10.23728/b2share.bd89f066c26a4507ad654e994153358b [Titel anhand dieser DOI in Citavi-Projekt übernehmen] (Fersch et al., 2020b).
Bibtex Type of Publication Kleinschmit
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