Supplementary code for: "Historical glacier change on Svalbard predicts doubling of mass loss by 2100"

Code to perform the analysis in: Geyman, E.C., van Pelt, W., Maloof, A.C., Faste Aas, H., and Kohler, J., 2021. "Historical glacier change on Svalbard predicts doubling of mass loss by 2100." Nature. Abstract: The melting of glaciers and ice caps accounts for about one third of current sea...

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Main Author: Emily Geyman
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2021
Subjects:
Online Access:https://doi.org/10.5281/zenodo.5643856
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spelling ftzenodo:oai:zenodo.org:5643856 2024-09-15T17:42:19+00:00 Supplementary code for: "Historical glacier change on Svalbard predicts doubling of mass loss by 2100" Emily Geyman 2021-11-03 https://doi.org/10.5281/zenodo.5643856 unknown Zenodo https://doi.org/10.5281/zenodo.5643855 https://doi.org/10.5281/zenodo.5643856 oai:zenodo.org:5643856 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5281/zenodo.564385610.5281/zenodo.5643855 2024-07-27T06:43:55Z Code to perform the analysis in: Geyman, E.C., van Pelt, W., Maloof, A.C., Faste Aas, H., and Kohler, J., 2021. "Historical glacier change on Svalbard predicts doubling of mass loss by 2100." Nature. Abstract: The melting of glaciers and ice caps accounts for about one third of current sea level rise, exceeding the mass loss from the more voluminous Greenland or Antarctic Ice Sheets. The Arctic archipelago of Svalbard, which hosts spatial climate gradients that are larger than the expected temporal shifts over the next century, is a natural laboratory to constrain the climate sensitivity of glaciers and predict their response to future warming. Leveraging an archive of historical aerial imagesfrom 1936 and 1938, we use structure-from-motion (SfM) photogrammetry to reconstruct the 3D geometry of 1,594 glaciers across Svalbard. We compare these reconstructions to modern ice elevation data to derive the spatial pattern of mass balance over a >70-year timespan, allowing us to see through the noise of annual and decadal variability to quantify how variables such as temperature and precipitation control ice loss. We find a robust temperature dependence of melt rates, whereby a 1°C rise in mean summer temperature corresponds to a decrease in area-normalized mass balance of -0.27 m yr -1 of water equivalent. Finally, we design a space-for-time substitutionto make first-order predictions of 21st century glacier change across Svalbard. Even in the most modest scenario (a ~1.4°C rise in mean summer temperature by 2100), we predict average glacier thinning rates in 2010-2100 of -0.67 m yr -1 , approximately twice the 1936-2010 rates. Other/Unknown Material Antarc* Antarctic Arctic Archipelago glacier glacier Greenland Svalbard Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description Code to perform the analysis in: Geyman, E.C., van Pelt, W., Maloof, A.C., Faste Aas, H., and Kohler, J., 2021. "Historical glacier change on Svalbard predicts doubling of mass loss by 2100." Nature. Abstract: The melting of glaciers and ice caps accounts for about one third of current sea level rise, exceeding the mass loss from the more voluminous Greenland or Antarctic Ice Sheets. The Arctic archipelago of Svalbard, which hosts spatial climate gradients that are larger than the expected temporal shifts over the next century, is a natural laboratory to constrain the climate sensitivity of glaciers and predict their response to future warming. Leveraging an archive of historical aerial imagesfrom 1936 and 1938, we use structure-from-motion (SfM) photogrammetry to reconstruct the 3D geometry of 1,594 glaciers across Svalbard. We compare these reconstructions to modern ice elevation data to derive the spatial pattern of mass balance over a >70-year timespan, allowing us to see through the noise of annual and decadal variability to quantify how variables such as temperature and precipitation control ice loss. We find a robust temperature dependence of melt rates, whereby a 1°C rise in mean summer temperature corresponds to a decrease in area-normalized mass balance of -0.27 m yr -1 of water equivalent. Finally, we design a space-for-time substitutionto make first-order predictions of 21st century glacier change across Svalbard. Even in the most modest scenario (a ~1.4°C rise in mean summer temperature by 2100), we predict average glacier thinning rates in 2010-2100 of -0.67 m yr -1 , approximately twice the 1936-2010 rates.
format Other/Unknown Material
author Emily Geyman
spellingShingle Emily Geyman
Supplementary code for: "Historical glacier change on Svalbard predicts doubling of mass loss by 2100"
author_facet Emily Geyman
author_sort Emily Geyman
title Supplementary code for: "Historical glacier change on Svalbard predicts doubling of mass loss by 2100"
title_short Supplementary code for: "Historical glacier change on Svalbard predicts doubling of mass loss by 2100"
title_full Supplementary code for: "Historical glacier change on Svalbard predicts doubling of mass loss by 2100"
title_fullStr Supplementary code for: "Historical glacier change on Svalbard predicts doubling of mass loss by 2100"
title_full_unstemmed Supplementary code for: "Historical glacier change on Svalbard predicts doubling of mass loss by 2100"
title_sort supplementary code for: "historical glacier change on svalbard predicts doubling of mass loss by 2100"
publisher Zenodo
publishDate 2021
url https://doi.org/10.5281/zenodo.5643856
genre Antarc*
Antarctic
Arctic Archipelago
glacier
glacier
Greenland
Svalbard
genre_facet Antarc*
Antarctic
Arctic Archipelago
glacier
glacier
Greenland
Svalbard
op_relation https://doi.org/10.5281/zenodo.5643855
https://doi.org/10.5281/zenodo.5643856
oai:zenodo.org:5643856
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.564385610.5281/zenodo.5643855
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