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Revealing four decades of snow cover dynamics in the Hindu Kush Himalaya
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 o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352756/ https://www.ncbi.nlm.nih.gov/pubmed/35927463 http://dx.doi.org/10.1038/s41598-022-17575-4 |
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author | Naegeli, K. Franke, J. Neuhaus, C. Rietze, N. Stengel, M. Wu, X. Wunderle, S. |
author_facet | Naegeli, K. Franke, J. Neuhaus, C. Rietze, N. Stengel, M. Wu, X. Wunderle, S. |
author_sort | Naegeli, K. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9352756 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93527562022-08-06 Revealing four decades of snow cover dynamics in the Hindu Kush Himalaya Naegeli, K. Franke, J. Neuhaus, C. Rietze, N. Stengel, M. Wu, X. Wunderle, S. Sci Rep Article 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. Nature Publishing Group UK 2022-08-04 /pmc/articles/PMC9352756/ /pubmed/35927463 http://dx.doi.org/10.1038/s41598-022-17575-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Naegeli, K. Franke, J. Neuhaus, C. Rietze, N. Stengel, M. Wu, X. Wunderle, S. Revealing four decades of snow cover dynamics in the Hindu Kush Himalaya |
title | Revealing four decades of snow cover dynamics in the Hindu Kush Himalaya |
title_full | Revealing four decades of snow cover dynamics in the Hindu Kush Himalaya |
title_fullStr | Revealing four decades of snow cover dynamics in the Hindu Kush Himalaya |
title_full_unstemmed | Revealing four decades of snow cover dynamics in the Hindu Kush Himalaya |
title_short | Revealing four decades of snow cover dynamics in the Hindu Kush Himalaya |
title_sort | revealing four decades of snow cover dynamics in the hindu kush himalaya |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352756/ https://www.ncbi.nlm.nih.gov/pubmed/35927463 http://dx.doi.org/10.1038/s41598-022-17575-4 |
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