Revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization
We are funded by the Chilean Science Council (ANID): FONDECYT Regular grant No1201429 and Anillo ACT210080. We also acknowledge all the open databases developed by the WGMS. This work is also a tribute to the hundreds of groups gathering, curating and sharing mass-balance and inventory data for more...
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ftanid:oai:repositorio.anid.cl:10533/78854 2024-09-15T18:15:40+00:00 Revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization Fernandez, Alfonso Somos-Valenzuela, Marcelo 2024-08-26T17:18:10Z PDF https://hdl.handle.net/10533/78854 https://doi.org/10.1017/jog.2022.16 https://repositorio.ufro.cl/s/repositorio-ufro/item/7162 en eng doi:10.1017/jog.2022.16 https://repositorio.ufro.cl/s/repositorio-ufro/item/7162 https://hdl.handle.net/10533/78854 JOURNAL OF GLACIOLOGY Climate change glacier mass balance ice and climate SEA-LEVEL RISE PRINCIPAL COMPONENT ANALYSIS ICE CAPS CLIMATE INVENTORY ALPS artículo original 2024 ftanid https://doi.org/10.1017/jog.2022.16 2024-09-01T23:42:49Z We are funded by the Chilean Science Council (ANID): FONDECYT Regular grant No1201429 and Anillo ACT210080. We also acknowledge all the open databases developed by the WGMS. This work is also a tribute to the hundreds of groups gathering, curating and sharing mass-balance and inventory data for more than a century. We are grateful to Mario Pino for early discussions on this work, Bryan Mark for last-minute revisions of the language style, and to the editors and reviewers. Contamos con financiamiento del Consejo Científico de Chile (ANID): FONDECYT Beca Regular No1201429 y Anillo ACT210080. También reconocemos todas las bases de datos abiertas desarrolladas por el WGMS. Este trabajo es también un tributo a los cientos de grupos que recopilan, curan y comparten datos de inventario y balance de masas durante más de un siglo. Agradecemos a Mario Pino por las primeras discusiones sobre este trabajo, a Bryan Mark por las revisiones de último momento del estilo del lenguaje, y a los editores y revisores. 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 similar to 20 years. Using this temporal ... Article in Journal/Newspaper Journal of Glaciology Repositorio ANID (Agencia Nacional de Investigación y Desarrollo) Journal of Glaciology 68 272 1041 1060 |
institution |
Open Polar |
collection |
Repositorio ANID (Agencia Nacional de Investigación y Desarrollo) |
op_collection_id |
ftanid |
language |
English |
topic |
Climate change glacier mass balance ice and climate SEA-LEVEL RISE PRINCIPAL COMPONENT ANALYSIS ICE CAPS CLIMATE INVENTORY ALPS |
spellingShingle |
Climate change glacier mass balance ice and climate SEA-LEVEL RISE PRINCIPAL COMPONENT ANALYSIS ICE CAPS CLIMATE INVENTORY ALPS Fernandez, Alfonso Revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization |
topic_facet |
Climate change glacier mass balance ice and climate SEA-LEVEL RISE PRINCIPAL COMPONENT ANALYSIS ICE CAPS CLIMATE INVENTORY ALPS |
description |
We are funded by the Chilean Science Council (ANID): FONDECYT Regular grant No1201429 and Anillo ACT210080. We also acknowledge all the open databases developed by the WGMS. This work is also a tribute to the hundreds of groups gathering, curating and sharing mass-balance and inventory data for more than a century. We are grateful to Mario Pino for early discussions on this work, Bryan Mark for last-minute revisions of the language style, and to the editors and reviewers. Contamos con financiamiento del Consejo Científico de Chile (ANID): FONDECYT Beca Regular No1201429 y Anillo ACT210080. También reconocemos todas las bases de datos abiertas desarrolladas por el WGMS. Este trabajo es también un tributo a los cientos de grupos que recopilan, curan y comparten datos de inventario y balance de masas durante más de un siglo. Agradecemos a Mario Pino por las primeras discusiones sobre este trabajo, a Bryan Mark por las revisiones de último momento del estilo del lenguaje, y a los editores y revisores. 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 similar to 20 years. Using this temporal ... |
author2 |
Somos-Valenzuela, Marcelo |
format |
Article in Journal/Newspaper |
author |
Fernandez, Alfonso |
author_facet |
Fernandez, Alfonso |
author_sort |
Fernandez, Alfonso |
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 |
publishDate |
2024 |
url |
https://hdl.handle.net/10533/78854 https://doi.org/10.1017/jog.2022.16 https://repositorio.ufro.cl/s/repositorio-ufro/item/7162 |
genre |
Journal of Glaciology |
genre_facet |
Journal of Glaciology |
op_source |
JOURNAL OF GLACIOLOGY |
op_relation |
doi:10.1017/jog.2022.16 https://repositorio.ufro.cl/s/repositorio-ufro/item/7162 https://hdl.handle.net/10533/78854 |
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_ |
1810453595884093440 |