TY  - JOUR
AB  - 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 km(2): 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 rootzone 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 (Fersch et al., 2020a) and https://doi.org/10.23728/b2share.bd89f066c26a4507ad654e994153358b (Fersch et al., 2020b).
AU  - Fersch, B.*
AU  - Francke, T.*
AU  - Heistermann, M.*
AU  - Schrön, M.*
AU  - Döpper, V.*
AU  - Jakobi, J.*
AU  - Baroni, G.*
AU  - Blume, T.*
AU  - Bogena, H.*
AU  - Budach, C.*
AU  - Gränzig, T.*
AU  - Förster, M.*
AU  - Güntner, A.*
AU  - Franssen, H.J.H.*
AU  - Kasner, M.*
AU  - Köhli, M.*
AU  - Kleinschmit, B.*
AU  - Kunstmann, H.*
AU  - Patil, A.*
AU  - Rasche, D.*
AU  - Scheiffele, L.*
AU  - Schmidt, U.*
AU  - Szulc-Seyfried, S.*
AU  - Weimar, J.*
AU  - Zacharias, S.*
AU  - Zreda, M.*
AU  - Heber, B.*
AU  - Kiese, R.*
AU  - Mares, V.
AU  - Mollenhauer, H.*
AU  - Völksch, I.*
AU  - Oswald, S.*
C1  - 60319
C2  - 49178
CY  - Bahnhofsallee 1e, Gottingen, 37081, Germany
SP  - 2289-2309
TI  - A dense network of cosmic-ray neutron sensors for soil moisture observation in a highly instrumented pre-Alpine headwater catchment in Germany.
JO  - Earth Syst. Sci. Data
VL  - 12
IS  - 3
PB  - Copernicus Gesellschaft Mbh
PY  - 2020
SN  - 1866-3508
ER  - 

TY  - JOUR
AB  - The German Ultrafine Aerosol Network (GUAN) is a cooperative atmospheric observation network, which aims at improving the scientific understanding of aerosol-related effects in the troposphere. The network addresses research questions dedicated to both climate- and health-related effects. GUAN's core activity has been the continuous collection of tropospheric particle number size distributions and black carbon mass concentrations at 17 observation sites in Germany. These sites cover various environmental settings including urban traffic, urban background, rural background, and Alpine mountains. In association with partner projects, GUAN has implemented a high degree of harmonisation of instrumentation, operating procedures, and data evaluation procedures. The quality of the measurement data is assured by laboratory intercomparisons as well as on-site comparisons with reference instruments. This paper describes the measurement sites, instrumentation, quality assurance, and data evaluation procedures in the network as well as the EBAS repository, where the data sets can be obtained (doi:10.5072/guan)..
AU  - Birmili, W.*
AU  - Weinhold, K.*
AU  - Rasch, F.*
AU  - Sonntag, A.G.*
AU  - Sun, J.*
AU  - Merkel, M.*
AU  - Wiedensohler, A.*
AU  - Bastian, S.*
AU  - Schladitz, A.*
AU  - Loschau, G.*
AU  - Cyrys, J.
AU  - Pitz, M.
AU  - Gu, J.
AU  - Kusch, T.
AU  - Flentje, H.*
AU  - Quass, U.*
AU  - Kaminski, H.*
AU  - Kuhlbusch, T.A.J.*
AU  - Meinhardt, F.*
AU  - Schwerin, A.*
AU  - Bath, O.*
AU  - Ries, L.*
AU  - Wirtz, K.*
AU  - Fiebig, M.*
C1  - 49444
C2  - 30950
CY  - Gottingen
SP  - 355-382
TI  - Long-term observations of tropospheric particle number size distributions and equivalent black carbon mass concentrations in the German Ultrafine Aerosol Network (GUAN).
JO  - Earth Syst. Sci. Data
VL  - 8
IS  - 2
PB  - Copernicus Gesellschaft Mbh
PY  - 2016
SN  - 1866-3508
ER  -