It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Snow cover is of key importance for water resources in high mountain Asia (HMA) and is expected to undergo extensive changes in a warming climate. Past studies have quantified snow cover changes with satellite products of relatively low spatial resolution (∼500 m) which are hindered by the steep topography of this mountain region. We derive snowlines from Sentinel-2 and Landsat 5, 7 and 8 images, which, thanks to their higher spatial resolution, are less sensitive to the local topography. We calculate the snow line altitude (SLA) and its seasonality for all glacierized catchments of HMA and link these patterns to climate variables corrected for topographic biases. As such, the snowline changes provide a clear proxy for climatic changes. Our results highlight a strong spatial variability in mean SLA and in its seasonal changes, including across mountain chains and between the monsoon-dominated and the westerlies-dominated catchments. Over the period 1999–2019, the western regions of HMA (Pamir, Karakoram, Western Himalaya) have undergone increased snow coverage, expressed as seasonal SLA decrease, in spring and summer. This change is opposed to a widespread increase in SLA in autumn across the region, and especially the southeastern regions of HMA (Nyainqentanglha, Hengduan Shan, South–East Himalaya). Our results indicate that the diversity of seasonal snow dynamics across the region is controlled not by temperature or precipitation directly but by the timing and partitioning of solid precipitation. Decadal snowline changes (1999–2009 vs 2009–2019) seasonally precede temperature changes, suggesting that seasonal temperature changes in the Karakoram–Pamir and Eastern Nyainqentanglha regions may have responded to snow cover changes, rather than driving them.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details




1 High Mountain Glaciers and Hydrology Group, Swiss Federal Institute, WSL , Birmensdorf, Switzerland; LEGOS, Université de Toulouse , CNES, CNRS, IRD, UT3, Toulouse, France
2 High Mountain Glaciers and Hydrology Group, Swiss Federal Institute, WSL , Birmensdorf, Switzerland; Glaciology and Geomorphodynamics Group, Department of Geography, University of Zurich , Zurich, Switzerland
3 High Mountain Glaciers and Hydrology Group, Swiss Federal Institute, WSL , Birmensdorf, Switzerland; Institut des Géosciences de l’Environnement, Université Grenoble-Alpes , CNRS, IRD, Grenoble, France; Department of Atmospheric and Cryospheric Sciences, University of Innsbruck , Innsbruck, Austria
4 Graduate School of Environmental Studies, Nagoya University , Nagoya, Japan
5 Graduate School of Environmental Studies, Nagoya University , Nagoya, Japan; School of Environment and Society, Institute of Science Tokyo , Tokyo, Japan
6 High Mountain Glaciers and Hydrology Group, Swiss Federal Institute, WSL , Birmensdorf, Switzerland; Institute of Science and Technology Austria (ISTA) , Klosterneuburg, Austria