Revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization
This study involves examination of glaciological mass-balance time series, glacier and climatic descriptors, the application of machine learning methods for glaciological clustering, and computation of mass-balance time series based upon the clustering and statistical analyses relative to gridded ai...
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Cambridge University Press
2022
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Online Access: | https://doi.org/10.1017/jog.2022.16 https://doaj.org/article/f74a4e03d85747a7b411df345255f8bf |
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ftdoajarticles:oai:doaj.org/article:f74a4e03d85747a7b411df345255f8bf 2023-05-15T16:57:35+02:00 Revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization Alfonso Fernández Marcelo Somos-Valenzuela 2022-12-01T00:00:00Z https://doi.org/10.1017/jog.2022.16 https://doaj.org/article/f74a4e03d85747a7b411df345255f8bf EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0022143022000168/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2022.16 0022-1430 1727-5652 https://doaj.org/article/f74a4e03d85747a7b411df345255f8bf Journal of Glaciology, Vol 68, Pp 1041-1060 (2022) Climate change glacier mass balance ice and climate Environmental sciences GE1-350 Meteorology. Climatology QC851-999 article 2022 ftdoajarticles https://doi.org/10.1017/jog.2022.16 2023-03-12T01:30:54Z This study involves examination of glaciological mass-balance time series, glacier and climatic descriptors, the application of machine learning methods for glaciological clustering, and computation of mass-balance time series based upon the clustering and statistical analyses relative to gridded air temperature datasets. Our analysis revealed an increasingly coherent mass-balance trend but a latitudinal bias of monitoring programs. The glacier classification scheme delivered three clusters, suggesting these correspond to climate-based first-order regimes, as glacier morphometric characteristics weighed little in our multivariate analysis. We combined all available surface mass-balance data from in situ monitoring programs to study temperature sensitivity for each cluster. These aggregated mass-balance time series delivered spatially different statistical relationships to temperature. Results also showed that surface mass balance tends to have a temporal self-correlation of ~20 years. Using this temporal window to analyze sensitivity since ~ 1950, we found that in all cases temperature sensitivity, while generally negative, tended to fluctuate through time, with the largest absolute magnitudes occurring in the 1980s and becoming less negative in recent years, revealing that glacier sensitivity is non-stationary. These findings point to a scenario of a coherent signal of change no matter the glacier regime. This work provides new insights into glacier–climate relationships that can guide observational and analytical strategies. Article in Journal/Newspaper Journal of Glaciology Directory of Open Access Journals: DOAJ Articles Journal of Glaciology 68 272 1041 1060 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Climate change glacier mass balance ice and climate Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
spellingShingle |
Climate change glacier mass balance ice and climate Environmental sciences GE1-350 Meteorology. Climatology QC851-999 Alfonso Fernández Marcelo Somos-Valenzuela Revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization |
topic_facet |
Climate change glacier mass balance ice and climate Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
description |
This study involves examination of glaciological mass-balance time series, glacier and climatic descriptors, the application of machine learning methods for glaciological clustering, and computation of mass-balance time series based upon the clustering and statistical analyses relative to gridded air temperature datasets. Our analysis revealed an increasingly coherent mass-balance trend but a latitudinal bias of monitoring programs. The glacier classification scheme delivered three clusters, suggesting these correspond to climate-based first-order regimes, as glacier morphometric characteristics weighed little in our multivariate analysis. We combined all available surface mass-balance data from in situ monitoring programs to study temperature sensitivity for each cluster. These aggregated mass-balance time series delivered spatially different statistical relationships to temperature. Results also showed that surface mass balance tends to have a temporal self-correlation of ~20 years. Using this temporal window to analyze sensitivity since ~ 1950, we found that in all cases temperature sensitivity, while generally negative, tended to fluctuate through time, with the largest absolute magnitudes occurring in the 1980s and becoming less negative in recent years, revealing that glacier sensitivity is non-stationary. These findings point to a scenario of a coherent signal of change no matter the glacier regime. This work provides new insights into glacier–climate relationships that can guide observational and analytical strategies. |
format |
Article in Journal/Newspaper |
author |
Alfonso Fernández Marcelo Somos-Valenzuela |
author_facet |
Alfonso Fernández Marcelo Somos-Valenzuela |
author_sort |
Alfonso Fernández |
title |
Revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization |
title_short |
Revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization |
title_full |
Revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization |
title_fullStr |
Revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization |
title_full_unstemmed |
Revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization |
title_sort |
revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization |
publisher |
Cambridge University Press |
publishDate |
2022 |
url |
https://doi.org/10.1017/jog.2022.16 https://doaj.org/article/f74a4e03d85747a7b411df345255f8bf |
genre |
Journal of Glaciology |
genre_facet |
Journal of Glaciology |
op_source |
Journal of Glaciology, Vol 68, Pp 1041-1060 (2022) |
op_relation |
https://www.cambridge.org/core/product/identifier/S0022143022000168/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2022.16 0022-1430 1727-5652 https://doaj.org/article/f74a4e03d85747a7b411df345255f8bf |
op_doi |
https://doi.org/10.1017/jog.2022.16 |
container_title |
Journal of Glaciology |
container_volume |
68 |
container_issue |
272 |
container_start_page |
1041 |
op_container_end_page |
1060 |
_version_ |
1766049140199915520 |