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Continuous monitoring of snowpack dynamics in alpine terrain by aboveground neutron sensing

  • The characteristics of an aboveground cosmic-ray neutron sensor (CRNS) are evaluated for monitoring a mountain snowpack in the Austrian Alps from March 2014 to June 2016. Neutron counts were compared to continuous point-scale snow depth (SD) and snow-water-equivalent (SWE) measurements from an automatic weather station with a maximum SWE of 600 mm (April 2014). Several spatially distributed Terrestrial Laser Scanning (TLS)-based SD and SWE maps were additionally used. A strong nonlinear correlation is found for both SD and SWE. The representative footprint of the CRNS is in the range of 230-270 m. In contrast to previous studies suggesting signal saturation at around 100 mm of SWE, no complete signal saturation was observed. These results imply that CRNS could be transferred into an unprecedented method for continuous detection of spatially averaged SD and SWE for alpine snowpacks, though with sensitivity decreasing with increasing SWE. While initially different functions were found for accumulation and melting season conditions, thisThe characteristics of an aboveground cosmic-ray neutron sensor (CRNS) are evaluated for monitoring a mountain snowpack in the Austrian Alps from March 2014 to June 2016. Neutron counts were compared to continuous point-scale snow depth (SD) and snow-water-equivalent (SWE) measurements from an automatic weather station with a maximum SWE of 600 mm (April 2014). Several spatially distributed Terrestrial Laser Scanning (TLS)-based SD and SWE maps were additionally used. A strong nonlinear correlation is found for both SD and SWE. The representative footprint of the CRNS is in the range of 230-270 m. In contrast to previous studies suggesting signal saturation at around 100 mm of SWE, no complete signal saturation was observed. These results imply that CRNS could be transferred into an unprecedented method for continuous detection of spatially averaged SD and SWE for alpine snowpacks, though with sensitivity decreasing with increasing SWE. While initially different functions were found for accumulation and melting season conditions, this could be resolved by accounting for a limited measurement depth. This depth limit is in the range of 200 mm of SWE for dense snowpacks with high liquid water contents and associated snow density values around 450 kg m(-3) and above. In contrast to prior studies with shallow snowpacks, interannual transferability of the results is very high regardless of presnowfall soil moisture conditions. This underlines the unexpectedly high potential of CRNS to close the gap between point-scale measurements, hydrological models, and remote sensing of the cryosphere in alpine terrain.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Paul Schattan, Gabriele BaroniORCiDGND, Sascha Eric OswaldORCiDGND, Johannes Schoeber, Christine Fey, Christoph Kormann, Matthias Huttenlau, Stefan AchleitnerORCiD
DOI:https://doi.org/10.1002/2016WR020234
ISSN:0043-1397
ISSN:1944-7973
Titel des übergeordneten Werks (Englisch):Water resources research
Verlag:American Geophysical Union
Verlagsort:Washington
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Erstveröffentlichung:2017
Erscheinungsjahr:2017
Datum der Freischaltung:20.04.2020
Freies Schlagwort / Tag:alpine environment; continuous snowpack monitoring; cosmic-ray neutron sensing; snow hydrology
Band:53
Seitenanzahl:20
Erste Seite:3615
Letzte Seite:3634
Fördernde Institution:Federal Ministry of Transport, Innovation and Technology (BMVIT); Federal Ministry of Science, Research and Economy (BMWFW); Austrian Province of the Tyrol; Austrian Province of the Vorarlberg; TIWAG-Tiroler Wasserkraft AG; Deutsche Forschungsgemeinschaft (DFG) [Cl 26/13-1]; University of Potsdam; EFRE-HIP-Brandenburg [80158356]; [213007]
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften
Peer Review:Referiert
Name der Einrichtung zum Zeitpunkt der Publikation:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Erd- und Umweltwissenschaften
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