Naegeli, K; Franke, J; Neuhaus, C; Rietze, N; Stengel, M; Wu, X; Wunderle, S (2022). Revealing four decades of snow cover dynamics in the Hindu Kush Himalaya. Scientific reports, 12(1), p. 13443. 10.1038/s41598-022-17575-4
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Knowledge about the distribution and dynamics of seasonal snow cover (SSC) is of high importance for climate studies, hydrology or hazards assessment. SSC varies considerably across the Hindu Kush Himalaya both in space and time. Previous studies focused on regional investigations or the influence of snow melt on the local hydrological system. Here, we present a systematic assessment of metrics to evaluate SSC dynamics for the entire HKH at regional and basin scale based on AVHRR GAC data at a 0.05° spatial and daily temporal resolution. Our findings are based on a unique four-decade satellite-based time series of snow cover information. We reveal strong variability of SSC at all time scales. We find significantly decreasing SSC trends in individual summer and winter months and a declining tendency from mid-spring to mid-fall, indicating a shift in seasonality. Thanks to this uniquely spatio-temporally resolved long-term data basis, we can particularly highlight the unique temporally variable character of seasonal snow cover and its cross-disciplinary importance for mountain ecosystems and downstream regions.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Institute of Geography > Physical Geography > Unit Remote Sensing 10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR) 08 Faculty of Science > Institute of Geography 08 Faculty of Science > Institute of Geography > Physical Geography |
UniBE Contributor: |
Naegeli, Kathrin, Franke, Jörg, Neuhaus, Christoph, Rietze, Nils, Wunderle, Stefan |
Subjects: |
900 History > 910 Geography & travel 500 Science > 550 Earth sciences & geology |
ISSN: |
2045-2322 |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
08 Aug 2022 09:47 |
Last Modified: |
05 Dec 2022 16:22 |
Publisher DOI: |
10.1038/s41598-022-17575-4 |
PubMed ID: |
35927463 |
BORIS DOI: |
10.48350/171791 |
URI: |
https://boris.unibe.ch/id/eprint/171791 |