Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
Zur Ablage hinzufügen
  Lokale TagsFreigabegeschichteDetailsÜbersicht

Freigegeben
Zeitschriftenartikel

Three years of soil moisture observations by a dense cosmic-ray neutron sensing cluster at an agricultural research site in north-east Germany

Urheber*innen

Heistermann,  Maik
External Organizations;
TERENO, Deutsches GeoForschungsZentrum;

Francke,  Till
External Organizations;
TERENO, Deutsches GeoForschungsZentrum;

Scheiffele,  Lena
External Organizations;
TERENO, Deutsches GeoForschungsZentrum;

Dimitrova Petrova,  Katya
External Organizations;
TERENO, Deutsches GeoForschungsZentrum;

Budach,  Christian
External Organizations;
TERENO, Deutsches GeoForschungsZentrum;

Schrön,  Martin
External Organizations;
TERENO, Deutsches GeoForschungsZentrum;

Trost,  Benjamin
External Organizations;
TERENO, Deutsches GeoForschungsZentrum;

/persons/resource/drasche

Rasche,  Daniel
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
TERENO, Deutsches GeoForschungsZentrum;

/persons/resource/guentner

Güntner,  A.
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
TERENO, Deutsches GeoForschungsZentrum;

Döpper,  Veronika
External Organizations;
TERENO, Deutsches GeoForschungsZentrum;

Förster,  Michael
External Organizations;
TERENO, Deutsches GeoForschungsZentrum;

Köhli,  Markus
External Organizations;
TERENO, Deutsches GeoForschungsZentrum;

Angermann,  Lisa
External Organizations;
TERENO, Deutsches GeoForschungsZentrum;

Antonoglou,  Nikolaos
External Organizations;
TERENO, Deutsches GeoForschungsZentrum;

Zude-Sasse,  Manuela
External Organizations;
TERENO, Deutsches GeoForschungsZentrum;

Oswald,  Sascha E.
External Organizations;
TERENO, Deutsches GeoForschungsZentrum;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (frei zugänglich)

5022213.pdf
(Verlagsversion), 7MB

Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Heistermann, M., Francke, T., Scheiffele, L., Dimitrova Petrova, K., Budach, C., Schrön, M., Trost, B., Rasche, D., Güntner, A., Döpper, V., Förster, M., Köhli, M., Angermann, L., Antonoglou, N., Zude-Sasse, M., Oswald, S. E. (2023): Three years of soil moisture observations by a dense cosmic-ray neutron sensing cluster at an agricultural research site in north-east Germany. - Earth System Science Data, 15, 7, 3243-3262.
https://doi.org/10.5194/essd-15-3243-2023


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5022213
Zusammenfassung
Cosmic-ray neutron sensing (CRNS) allows for the estimation of root-zone soil water content (SWC) at the scale of several hectares. In this paper, we present the data recorded by a dense CRNS network operated from 2019 to 2022 at an agricultural research site in Marquardt, Germany – the first multi-year CRNS cluster. Consisting, at its core, of eight permanently installed CRNS sensors, the cluster was supplemented by a wealth of complementary measurements: data from seven additional temporary CRNS sensors, partly co-located with the permanent ones; 27 SWC profiles (mostly permanent); two groundwater observation wells; meteorological records; and Global Navigation Satellite System reflectometry (GNSS-R). Complementary to these continuous measurements, numerous campaign-based activities provided data by mobile CRNS roving, hyperspectral imagery via UASs, intensive manual sampling of soil properties (SWC, bulk density, organic matter, texture, soil hydraulic properties), and observations of biomass and snow (cover, depth, and density). The unique temporal coverage of 3 years entails a broad spectrum of hydro-meteorological conditions, including exceptional drought periods and extreme rainfall but also episodes of snow coverage, as well as a dedicated irrigation experiment. Apart from serving to advance CRNS-related retrieval methods, this data set is expected to be useful for various disciplines, for example, soil and groundwater hydrology, agriculture, or remote sensing. Hence, we show exemplary features of the data set in order to highlight the potential for such subsequent studies. The data are available at doi.org/10.23728/b2share.551095325d74431881185fba1eb09c95 (Heistermann et al., 2022b).