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Verfasst von:Brombierstäudl, Dagmar [VerfasserIn]   i
 Schmidt, Susanne [VerfasserIn]   i
 Nüsser, Marcus [VerfasserIn]   i
Titel:Spatial and temporal dynamics of aufeis in the Tso Moriri basin, eastern Ladakh, India
Verf.angabe:Dagmar Brombierstäudl, Susanne Schmidt, Marcus Nüsser
E-Jahr:2023
Jahr:January/March 2023
Umfang:13 S.
Illustrationen:Illustrationen
Fussnoten:Gefördert durch: Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Grant/Award Number: NU102/15-1 ; Online veröffenticht: 12. Oktober 2022 ; Gesehen am 05.03.2024
Titel Quelle:Enthalten in: Permafrost and periglacial processes
Ort Quelle:New York, NY : Wiley, 1990
Jahr Quelle:2023
Band/Heft Quelle:34(2023), 1 vom: Jan./März, Seite 81-93
ISSN Quelle:1099-1530
Abstract:Aufeis is a common phenomenon in cold regions of the Northern Hemisphere that develops during winter by successive water overflow and freezing on ice-covered surfaces. Most studies on aufeis occurrence focus on regions in North America and Siberia, while research in High Mountain Asia (HMA) is still in an exploratory phase. This study investigates the extent and dynamics of icing processes and aufeis in the Tso Moriri basin, eastern Ladakh, India. Based on a combination of 235 Landsat 5 TM/8 OLI and Sentinel-2 imagery from 2008 to 2021 the occurrence of icing and aufeis was classified using a random forest classifier. A total of 27 frequently occurring aufeis fields with an average maximum extent of 9 km2 were identified, located at a mean elevation of 4,700 m a.s.l. Temporal patterns show a distinct accumulation phase (icing) between November and April, and a melting phase lasting from May until July. Icing is characterized by high seasonal and inter-annual variability. Successive water overflow mainly occurs between January and March and seems to be related to diurnal freeze-thaw-cycles, whereas higher daytime temperatures result in larger icing areas. Aufeis feeding sources are often located within or in close vicinity to wetland areas, while vegetation is largely absent on surfaces with frequent aufeis formation. These interactions require more attention in future research. In addition, this study shows the high potential of a machine learning approach to monitor icing processes and aufeis, which can be transferred to other regions.
DOI:doi:10.1002/ppp.2173
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext: https://doi.org/10.1002/ppp.2173
 kostenfrei: Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/ppp.2173
 DOI: https://doi.org/10.1002/ppp.2173
Datenträger:Online-Ressource
Sprache:eng
Sonstige Nr.:Grant number: DFG NU102/15-1
Sach-SW:icing
 Landsat
 remote sensing
 time-series
 Trans-Himalaya
 water resource
K10plus-PPN:1882471407
Verknüpfungen:→ Zeitschrift

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