Statistical modelling of the surface mass-balance variability of the Morteratsch glacier, Switzerland: strong control of early melting season meteorological conditions

In this study we analyse a 15-year long time series of surface mass-balance (SMB) measurements performed between 2001 and 2016 in the ablation zone of the Morteratsch glacier complex (Engadine, Switzerland). For a better understanding of the SMB variability and its causes, multiple linear regression...

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Main Authors: Zekollari, Harry, Huybrechts, Philippe
Format: Article in Journal/Newspaper
Language:English
Published: International Glaciological Society 2018
Subjects:
Online Access:https://hdl.handle.net/20.500.11850/254370
https://doi.org/10.3929/ethz-b-000254370
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spelling ftethz:oai:www.research-collection.ethz.ch:20.500.11850/254370 2023-05-15T16:57:29+02:00 Statistical modelling of the surface mass-balance variability of the Morteratsch glacier, Switzerland: strong control of early melting season meteorological conditions Zekollari, Harry Huybrechts, Philippe 2018-04 application/application/pdf https://hdl.handle.net/20.500.11850/254370 https://doi.org/10.3929/ethz-b-000254370 en eng International Glaciological Society info:eu-repo/semantics/altIdentifier/doi/10.1017/jog.2018.18 info:eu-repo/semantics/altIdentifier/wos/000430422000009 http://hdl.handle.net/20.500.11850/254370 doi:10.3929/ethz-b-000254370 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International CC-BY Journal of Glaciology, 64 (244) energy balance glacier cover glacier mass balance glacier meteorology glacier monitoring info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2018 ftethz https://doi.org/20.500.11850/254370 https://doi.org/10.3929/ethz-b-000254370 https://doi.org/10.1017/jog.2018.18 2022-04-25T13:58:28Z In this study we analyse a 15-year long time series of surface mass-balance (SMB) measurements performed between 2001 and 2016 in the ablation zone of the Morteratsch glacier complex (Engadine, Switzerland). For a better understanding of the SMB variability and its causes, multiple linear regressions analyses are performed with temperature and precipitation series from nearby meteorological stations. Up to 85% of the observed SMB variance can be explained by the mean May–June–July temperature and the total precipitation from October to March. A new method is presented where the contribution of each month's individual temperature and precipitation to the SMB can be examined in a total sample of 224 (16.8 million) combinations. More than 90% of the observed SMB can be explained with particular combinations, in which the May–June–July temperature is the most recurrent, followed by October temperature. The role of precipitation is less pronounced, but autumn, winter and spring precipitation are always more important than summer precipitation. Our results indicate that the length of the ice ablation season is of larger importance than its intensity to explain year-to-year variations. The widely used June–July–August temperature index may not always be the best option to describe SMB variability through statistical correlation. ISSN:0022-1430 ISSN:1727-5652 Article in Journal/Newspaper Journal of Glaciology ETH Zürich Research Collection
institution Open Polar
collection ETH Zürich Research Collection
op_collection_id ftethz
language English
topic energy balance
glacier cover
glacier mass balance
glacier meteorology
glacier monitoring
spellingShingle energy balance
glacier cover
glacier mass balance
glacier meteorology
glacier monitoring
Zekollari, Harry
Huybrechts, Philippe
Statistical modelling of the surface mass-balance variability of the Morteratsch glacier, Switzerland: strong control of early melting season meteorological conditions
topic_facet energy balance
glacier cover
glacier mass balance
glacier meteorology
glacier monitoring
description In this study we analyse a 15-year long time series of surface mass-balance (SMB) measurements performed between 2001 and 2016 in the ablation zone of the Morteratsch glacier complex (Engadine, Switzerland). For a better understanding of the SMB variability and its causes, multiple linear regressions analyses are performed with temperature and precipitation series from nearby meteorological stations. Up to 85% of the observed SMB variance can be explained by the mean May–June–July temperature and the total precipitation from October to March. A new method is presented where the contribution of each month's individual temperature and precipitation to the SMB can be examined in a total sample of 224 (16.8 million) combinations. More than 90% of the observed SMB can be explained with particular combinations, in which the May–June–July temperature is the most recurrent, followed by October temperature. The role of precipitation is less pronounced, but autumn, winter and spring precipitation are always more important than summer precipitation. Our results indicate that the length of the ice ablation season is of larger importance than its intensity to explain year-to-year variations. The widely used June–July–August temperature index may not always be the best option to describe SMB variability through statistical correlation. ISSN:0022-1430 ISSN:1727-5652
format Article in Journal/Newspaper
author Zekollari, Harry
Huybrechts, Philippe
author_facet Zekollari, Harry
Huybrechts, Philippe
author_sort Zekollari, Harry
title Statistical modelling of the surface mass-balance variability of the Morteratsch glacier, Switzerland: strong control of early melting season meteorological conditions
title_short Statistical modelling of the surface mass-balance variability of the Morteratsch glacier, Switzerland: strong control of early melting season meteorological conditions
title_full Statistical modelling of the surface mass-balance variability of the Morteratsch glacier, Switzerland: strong control of early melting season meteorological conditions
title_fullStr Statistical modelling of the surface mass-balance variability of the Morteratsch glacier, Switzerland: strong control of early melting season meteorological conditions
title_full_unstemmed Statistical modelling of the surface mass-balance variability of the Morteratsch glacier, Switzerland: strong control of early melting season meteorological conditions
title_sort statistical modelling of the surface mass-balance variability of the morteratsch glacier, switzerland: strong control of early melting season meteorological conditions
publisher International Glaciological Society
publishDate 2018
url https://hdl.handle.net/20.500.11850/254370
https://doi.org/10.3929/ethz-b-000254370
genre Journal of Glaciology
genre_facet Journal of Glaciology
op_source Journal of Glaciology, 64 (244)
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1017/jog.2018.18
info:eu-repo/semantics/altIdentifier/wos/000430422000009
http://hdl.handle.net/20.500.11850/254370
doi:10.3929/ethz-b-000254370
op_rights info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International
op_rightsnorm CC-BY
op_doi https://doi.org/20.500.11850/254370
https://doi.org/10.3929/ethz-b-000254370
https://doi.org/10.1017/jog.2018.18
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