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| Indexado |
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| DOI | 10.5194/TC-19-1897-2025 | ||||
| Año | 2025 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Climate change is associated with changes in the frequency and intensity of extreme weather events. Extreme weather is impacting the mass balance of Andean glaciers, a phenomenon that requires further detailed investigation. Among these extreme events, atmospheric rivers (ARs) play a significant role, potentially leading to either accumulation or melting events on glaciers. To assess the impact of ARs on Andean glaciers, we analysed an unseasonal event that occurred at the end of January 2021 - marked by extreme snowfall in the highlands and heavy rainfall, landslides and flash floods in the lowlands - during the typically dry austral summer period. Satellite imagery and meteorological observations in the glaciated Maipo River basin and its Olivares River sub-basin (33 degrees S) enabled the characterisation of this event and its basin-scale impacts. Moreover, a glacier mass balance model allows us to quantify the effects of the AR on the Olivares Alfa Glacier (4284 to 4988 m a.s.l.) in the context of the preceding 6 hydrological years. The large water vapour transport by the AR led to substantial snow accumulation on the Maipo River glaciers, resulting in a post-event snow line observed at 2463 m a.s.l. In the Olivares River sub-basin, the 0 degrees C isotherm dropped from typical summertime altitudes of 4000-4500 m a.s.l. to 3250 m a.s.l. during the event, below the frontal zone of all glaciers in this sub-basin. The mass balance model for the Olivares Alfa Glacier during the dry 2020-2021 hydrological year showed a trend toward negative values at the beginning of the ablation season, aligned with previous years and the prevailing severe drought conditions. However, the AR snowfall event, combined with cooler conditions and other small accumulation events during the remainder of the ablation season compared to previous years, offset this trend and brought the mass balance closer to equilibrium. This demonstrates that an unseasonal snow accumulation event can significantly counteract the broader seasonal trends affecting subtropical Andean glaciers. Our study sheds light on the impacts of extreme and unseasonal snow accumulation events on glacier mass balance in the high Andes, particularly those associated with ARs, a synoptic feature projected to become more common in a warming climate.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | BRAVO-URZUA, CLAUDIO IGNACIO | Hombre |
Centro de Estudios Científicos - Chile
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| 2 | Cisternas, Sebastian | - |
UNIV LEEDS - Reino Unido
University of Leeds - Reino Unido |
| 3 | Viale, Maximiliano | Hombre |
Consejo Nacl Invest Cient & Tecn - Argentina
Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales - Argentina |
| 4 | Paredes, Pablo | - |
Universidad Austral de Chile - Chile
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| 5 | Bozkurt, D. | Mujer |
Universidad de Valparaíso - Chile
Centro de Ciencia del Clima y la Resiliencia - Chile Universidad de Concepción - Chile Centro de Ciencia del Clima y la Resiliencia (CR)2 - Chile |
| 6 | Garcia, Nicolas | - |
Centro de Estudios Científicos - Chile
Universidad Austral de Chile - Chile |
| Fuente |
|---|
| FONDECYT |
| FONCYT |
| Fondo para la Investigación Científica y Tecnológica |
| Fondo Nacional de Desarrollo Científico y Tecnológico |
| COPAS |
| Agencia Nacional de Investigación y Desarrollo |
| COPAS COASTAL ANID |
| Ice Data Center |
| Agradecimiento |
|---|
| We acknowledge the providers of the data used in this work: the Copernicus Climate Change Service (C3S) Climate Data Store provided the ERA5 reanalysis data, the Integrated Global Radiosonde Archive (IGRA) Version 2 provided the radiosonde data, and the National Snow and Ice Data Center provided the MODIS daily snow cover product. We thank the team at Centro de Estudios Cientificos (CECs), who installed, downloaded the data, and carried out the maintenance of the AWS and GEONOR between 2013 and 2021. Claudio Bravo and Deniz Bozkurt acknowledge the support of project no. ANID-CLIMAT-AMSUD230025. Maximiliano Viale is supported by FONCYT grant no. 2020-1722. Deniz Bozkurt received support from grant nos. ANID-FONDAP-1523A0002 and COPAS COASTAL ANID FB210021. We are grateful to the editor, Emily Collier, and to Alvaro Ayala and one anonymous reviewer for their detailed revisions and their constructive comments and suggestions. |
| This research has been supported by the Agencia Nacional de Investigaci\u00F3n y Desarrollo (FONDECYT Iniciaci\u00F3n grant no. 11240379). |
| This research has been supported by the Agencia Nacional de Investigaci\u00F3n y Desarrollo (FONDECYT Iniciaci\u00F3n grant no. 11240379). We acknowledge the providers of the data used in this work: the Copernicus Climate Change Service (C3S) Climate Data Store provided the ERA5 reanalysis data, the Integrated Global Radiosonde Archive (IGRA) Version 2 provided the radiosonde data, and the National Snow and Ice Data Center provided the MODIS daily snow cover product. We thank the team at Centro de Estudios Cient\u00EDficos (CECs), who installed, downloaded the data, and carried out the maintenance of the AWS and GEONOR between 2013 and 2021. Claudio Bravo and Deniz Bozkurt acknowledge the support of project no. ANID-CLIMAT-AMSUD230025. Maximiliano Viale is supported by FONCYT grant no. 2020-1722. Deniz Bozkurt received support from grant nos. ANID-FONDAP1523A0002 and COPAS COASTAL ANID FB210021. We are grateful to the editor, Emily Collier, and to Alvaro Ayala and one anonymous reviewer for their detailed revisions and their constructive comments and suggestions. |
| We acknowledge the providers of the data used in this work: the Copernicus Climate Change Service (C3S) Climate Data Store provided the ERA5 reanalysis data, the Integrated Global Radiosonde Archive (IGRA) Version 2 provided the radiosonde data, and the National Snow and Ice Data Center provided the MODIS daily snow cover product. We thank the team at Centro de Estudios Cient\u00EDficos (CECs), who installed, downloaded the data, and carried out the maintenance of the AWS and GEONOR between 2013 and 2021. Claudio Bravo and Deniz Bozkurt acknowledge the support of project no. ANID-CLIMAT-AMSUD230025. Maximiliano Viale is supported by FONCYT grant no. 2020-1722. Deniz Bozkurt received support from grant nos. ANID-FONDAP-1523A0002 and COPAS COASTAL ANID FB210021. We are grateful to the editor, Emily Collier, and to Alvaro Ayala and one anonymous reviewer for their detailed revisions and their constructive comments and suggestions. |