[en] Recently, climate extremes have been grabbing attention as important drivers of environmental change. Here, we assemble an observational inventory of energy and mass fluxes to quantify the ice loss from glaciers on the Russian High Arctic archipelago of Novaya Zemlya. Satellite altimetry reveals that 70 ± 19% of the 149 ± 29 Gt mass loss between 2011 and 2022 occurred in just four high-melt years. We find that 71 ± 3% of the melt, including the top melt cases, are driven by extreme energy imports from atmospheric rivers. The majority of ice loss occurs on leeward slopes due to foehn winds. 45 of the 54 high-melt days (>1 Gt d-1) in 1990 to 2022 show a combination of atmospheric rivers and foehn winds. Therefore, the frequency and intensity of atmospheric rivers demand accurate representation for reliable future glacier melt projections for the Russian High Arctic.
Research Center/Unit :
SPHERES - ULiège [BE]
Disciplines :
Earth sciences & physical geography
Author, co-author :
Haacker, J ; Department of Geoscience and Remote Sensing, University of Technology Delft, Delft, the Netherlands. j.m.haacker@tudelft.nl
Wouters, B ; Department of Geoscience and Remote Sensing, University of Technology Delft, Delft, the Netherlands. bert.wouters@tudelft.nl
Fettweis, Xavier ; Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie
Glissenaar, I A; Institute for Marine and Atmospheric Research, Utrecht University, Utrecht, the Netherlands ; Bristol Glaciology Centre, School of Geographical Sciences, University of Bristol, Bristol, UK
Box, J E ; Department of Glaciology and Climate, Geological Survey of Denmark and Greenland, Copenhagen, Denmark
Language :
English
Title :
Atmospheric-river-induced foehn events drain glaciers on Novaya Zemlya.
Publication date :
15 August 2024
Journal title :
Nature Communications
eISSN :
2041-1723
Publisher :
Springer Science and Business Media LLC, England
Volume :
15
Issue :
1
Pages :
7021
Peer reviewed :
Peer Reviewed verified by ORBi
Tags :
CÉCI : Consortium des Équipements de Calcul Intensif Tier-1 supercomputer
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