Empirical glacier mass-balance models for South America
Abstract We investigate relationships between synoptic-scale atmospheric variability and the mass-balance of 13 Andean glaciers (located 16–55° S) using Pearson correlation coefficients (PCCs) and multiple regressions. We then train empirical glacier mass-balance models (EGMs) in a cross-validated m...
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Online Access: | http://dx.doi.org/10.1017/jog.2022.6 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143022000065 |
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crcambridgeupr:10.1017/jog.2022.6 2024-03-03T08:37:04+00:00 Empirical glacier mass-balance models for South America Mutz, Sebastian G. Aschauer, Johannes Deutsche Forschungsgemeinschaft 2022 http://dx.doi.org/10.1017/jog.2022.6 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143022000065 en eng Cambridge University Press (CUP) https://creativecommons.org/licenses/by/4.0/ Journal of Glaciology page 1-15 ISSN 0022-1430 1727-5652 Earth-Surface Processes journal-article 2022 crcambridgeupr https://doi.org/10.1017/jog.2022.6 2024-02-08T08:33:20Z Abstract We investigate relationships between synoptic-scale atmospheric variability and the mass-balance of 13 Andean glaciers (located 16–55° S) using Pearson correlation coefficients (PCCs) and multiple regressions. We then train empirical glacier mass-balance models (EGMs) in a cross-validated multiple regression procedure for each glacier. We find four distinct glaciological zones with regard to their climatic controls: (1) The mass-balance of the Outer Tropics glaciers is linked to temperature and the El Niño-Southern Oscillation (PCC ⩽ 0.6), (2) glaciers of the Desert Andes are mainly controlled by zonal wind intensity (PCC ⩽ 0.9) and the Antarctic Oscillation (PCC ⩽0.6), (3) the mass-balance of the Central Andes glaciers is primarily correlated with precipitation anomalies (PCC ⩽ 0.8), and (4) the glacier of the Fuegian Andes is controlled by winter precipitation (PCC ≈ 0.7) and summer temperature (PCC ≈ −0.9). Mass-balance data in the Lakes District and Patagonian Andes zones, where most glaciers are located, are too sparse for a robust detection of synoptic-scale climatic controls. The EGMs yield R 2 values of ~ 0.45 on average and ⩽ 0.74 for the glaciers of the Desert Andes. The EGMs presented here do not consider glacier dynamics or geometry and are therefore only suitable for short-term predictions. Article in Journal/Newspaper Antarc* Antarctic Journal of Glaciology Cambridge University Press Antarctic The Antarctic Journal of Glaciology 1 15 |
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Open Polar |
collection |
Cambridge University Press |
op_collection_id |
crcambridgeupr |
language |
English |
topic |
Earth-Surface Processes |
spellingShingle |
Earth-Surface Processes Mutz, Sebastian G. Aschauer, Johannes Empirical glacier mass-balance models for South America |
topic_facet |
Earth-Surface Processes |
description |
Abstract We investigate relationships between synoptic-scale atmospheric variability and the mass-balance of 13 Andean glaciers (located 16–55° S) using Pearson correlation coefficients (PCCs) and multiple regressions. We then train empirical glacier mass-balance models (EGMs) in a cross-validated multiple regression procedure for each glacier. We find four distinct glaciological zones with regard to their climatic controls: (1) The mass-balance of the Outer Tropics glaciers is linked to temperature and the El Niño-Southern Oscillation (PCC ⩽ 0.6), (2) glaciers of the Desert Andes are mainly controlled by zonal wind intensity (PCC ⩽ 0.9) and the Antarctic Oscillation (PCC ⩽0.6), (3) the mass-balance of the Central Andes glaciers is primarily correlated with precipitation anomalies (PCC ⩽ 0.8), and (4) the glacier of the Fuegian Andes is controlled by winter precipitation (PCC ≈ 0.7) and summer temperature (PCC ≈ −0.9). Mass-balance data in the Lakes District and Patagonian Andes zones, where most glaciers are located, are too sparse for a robust detection of synoptic-scale climatic controls. The EGMs yield R 2 values of ~ 0.45 on average and ⩽ 0.74 for the glaciers of the Desert Andes. The EGMs presented here do not consider glacier dynamics or geometry and are therefore only suitable for short-term predictions. |
author2 |
Deutsche Forschungsgemeinschaft |
format |
Article in Journal/Newspaper |
author |
Mutz, Sebastian G. Aschauer, Johannes |
author_facet |
Mutz, Sebastian G. Aschauer, Johannes |
author_sort |
Mutz, Sebastian G. |
title |
Empirical glacier mass-balance models for South America |
title_short |
Empirical glacier mass-balance models for South America |
title_full |
Empirical glacier mass-balance models for South America |
title_fullStr |
Empirical glacier mass-balance models for South America |
title_full_unstemmed |
Empirical glacier mass-balance models for South America |
title_sort |
empirical glacier mass-balance models for south america |
publisher |
Cambridge University Press (CUP) |
publishDate |
2022 |
url |
http://dx.doi.org/10.1017/jog.2022.6 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143022000065 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Journal of Glaciology |
genre_facet |
Antarc* Antarctic Journal of Glaciology |
op_source |
Journal of Glaciology page 1-15 ISSN 0022-1430 1727-5652 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1017/jog.2022.6 |
container_title |
Journal of Glaciology |
container_start_page |
1 |
op_container_end_page |
15 |
_version_ |
1792496996651630592 |