European heat waves 2022: contribution to extreme glacier melt in Switzerland inferred from automated ablation readings

Accelerating glacier melt rates were observed during the last decades. Substantial ice loss occurs particularly during heat waves that are expected to intensify in the future. Because measuring and modelling glacier mass balance on a daily scale remains challenging, short-term mass balance variation...

Full description

Bibliographic Details
Main Authors: Cremona, Aaron, id_orcid:0 000-0003-2553-903X, Huss, Matthias, id_orcid:0 000-0002-2377-6923, Landmann, Johannes Marian, id_orcid:0 000-0003-0514-3521, Borner, Joël, Farinotti, Daniel, id_orcid:0 000-0003-3417-4570
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus 2023
Subjects:
Online Access:https://hdl.handle.net/20.500.11850/613697
https://doi.org/10.3929/ethz-b-000613697
id ftethz:oai:www.research-collection.ethz.ch:20.500.11850/613697
record_format openpolar
spelling ftethz:oai:www.research-collection.ethz.ch:20.500.11850/613697 2023-09-05T13:23:42+02:00 European heat waves 2022: contribution to extreme glacier melt in Switzerland inferred from automated ablation readings Cremona, Aaron id_orcid:0 000-0003-2553-903X Huss, Matthias id_orcid:0 000-0002-2377-6923 Landmann, Johannes Marian id_orcid:0 000-0003-0514-3521 Borner, Joël Farinotti, Daniel id_orcid:0 000-0003-3417-4570 2023-05 application/application/pdf https://hdl.handle.net/20.500.11850/613697 https://doi.org/10.3929/ethz-b-000613697 en eng Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-17-1895-2023 info:eu-repo/semantics/altIdentifier/wos/000984689800001 http://hdl.handle.net/20.500.11850/613697 doi:10.3929/ethz-b-000613697 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International The Cryosphere, 17 (5) info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2023 ftethz https://doi.org/20.500.11850/61369710.3929/ethz-b-00061369710.5194/tc-17-1895-2023 2023-08-20T23:48:53Z Accelerating glacier melt rates were observed during the last decades. Substantial ice loss occurs particularly during heat waves that are expected to intensify in the future. Because measuring and modelling glacier mass balance on a daily scale remains challenging, short-term mass balance variations, including extreme melt events, are poorly captured. Here, we present a novel approach based on computer-vision techniques for automatically determining daily mass balance variations at the local scale. The approach is based on the automated recognition of colour-taped ablation stakes from camera images and is tested and validated at six stations installed on three Alpine glaciers during the summers of 2019-2022. Our approach produces daily mass balance with an uncertainty of ±0.81 cm w.e. d-1, which is about half of the accuracy obtained from visual readouts. The automatically retrieved daily mass balances at the six sites were compared to average daily mass balances over the last decade derived from seasonal in situ observations to detect and assess extreme melt events. This allows analysing the impact that the summer heat waves which occurred in 2022 had on glacier melt. Our results indicate 23 d with extreme melt, showing a strong correspondence between the heat wave periods and extreme melt events. The combination of below-average winter snowfall and a suite of summer heat waves led to unprecedented glacier mass loss. The Switzerland-wide glacier storage change during the 25 d of heat waves in 2022 is estimated as 1.27 ± 0.10 km3 of water, corresponding to 35 % of the overall glacier mass loss during that summer. The same 25 d of heat waves caused a glacier mass loss that corresponds to 56 % of the average mass loss experienced over the entire melt season during the summers 2010-2020, demonstrating the relevance of heat waves for seasonal melt. ISSN:1994-0416 ISSN:1994-0424 Article in Journal/Newspaper The Cryosphere ETH Zürich Research Collection
institution Open Polar
collection ETH Zürich Research Collection
op_collection_id ftethz
language English
description Accelerating glacier melt rates were observed during the last decades. Substantial ice loss occurs particularly during heat waves that are expected to intensify in the future. Because measuring and modelling glacier mass balance on a daily scale remains challenging, short-term mass balance variations, including extreme melt events, are poorly captured. Here, we present a novel approach based on computer-vision techniques for automatically determining daily mass balance variations at the local scale. The approach is based on the automated recognition of colour-taped ablation stakes from camera images and is tested and validated at six stations installed on three Alpine glaciers during the summers of 2019-2022. Our approach produces daily mass balance with an uncertainty of ±0.81 cm w.e. d-1, which is about half of the accuracy obtained from visual readouts. The automatically retrieved daily mass balances at the six sites were compared to average daily mass balances over the last decade derived from seasonal in situ observations to detect and assess extreme melt events. This allows analysing the impact that the summer heat waves which occurred in 2022 had on glacier melt. Our results indicate 23 d with extreme melt, showing a strong correspondence between the heat wave periods and extreme melt events. The combination of below-average winter snowfall and a suite of summer heat waves led to unprecedented glacier mass loss. The Switzerland-wide glacier storage change during the 25 d of heat waves in 2022 is estimated as 1.27 ± 0.10 km3 of water, corresponding to 35 % of the overall glacier mass loss during that summer. The same 25 d of heat waves caused a glacier mass loss that corresponds to 56 % of the average mass loss experienced over the entire melt season during the summers 2010-2020, demonstrating the relevance of heat waves for seasonal melt. ISSN:1994-0416 ISSN:1994-0424
format Article in Journal/Newspaper
author Cremona, Aaron
id_orcid:0 000-0003-2553-903X
Huss, Matthias
id_orcid:0 000-0002-2377-6923
Landmann, Johannes Marian
id_orcid:0 000-0003-0514-3521
Borner, Joël
Farinotti, Daniel
id_orcid:0 000-0003-3417-4570
spellingShingle Cremona, Aaron
id_orcid:0 000-0003-2553-903X
Huss, Matthias
id_orcid:0 000-0002-2377-6923
Landmann, Johannes Marian
id_orcid:0 000-0003-0514-3521
Borner, Joël
Farinotti, Daniel
id_orcid:0 000-0003-3417-4570
European heat waves 2022: contribution to extreme glacier melt in Switzerland inferred from automated ablation readings
author_facet Cremona, Aaron
id_orcid:0 000-0003-2553-903X
Huss, Matthias
id_orcid:0 000-0002-2377-6923
Landmann, Johannes Marian
id_orcid:0 000-0003-0514-3521
Borner, Joël
Farinotti, Daniel
id_orcid:0 000-0003-3417-4570
author_sort Cremona, Aaron
title European heat waves 2022: contribution to extreme glacier melt in Switzerland inferred from automated ablation readings
title_short European heat waves 2022: contribution to extreme glacier melt in Switzerland inferred from automated ablation readings
title_full European heat waves 2022: contribution to extreme glacier melt in Switzerland inferred from automated ablation readings
title_fullStr European heat waves 2022: contribution to extreme glacier melt in Switzerland inferred from automated ablation readings
title_full_unstemmed European heat waves 2022: contribution to extreme glacier melt in Switzerland inferred from automated ablation readings
title_sort european heat waves 2022: contribution to extreme glacier melt in switzerland inferred from automated ablation readings
publisher Copernicus
publishDate 2023
url https://hdl.handle.net/20.500.11850/613697
https://doi.org/10.3929/ethz-b-000613697
genre The Cryosphere
genre_facet The Cryosphere
op_source The Cryosphere, 17 (5)
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-17-1895-2023
info:eu-repo/semantics/altIdentifier/wos/000984689800001
http://hdl.handle.net/20.500.11850/613697
doi:10.3929/ethz-b-000613697
op_rights info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International
op_doi https://doi.org/20.500.11850/61369710.3929/ethz-b-00061369710.5194/tc-17-1895-2023
_version_ 1776204298961551360