Surface mass balance of the Northern Patagonian Ice Field and links with climate variability modes and atmospheric variables

Abstract Patagonia Icefields are large ice masses with a significant contribution to sea level rise among mountain glaciers in the Southern Hemisphere. In order to improve the estimation of the Northern Patagonia Icefield (NPI) surface mass balance and to better understand its relationship with climate variables and modes, we simulated the surface mass balance over the icefield during the period 1980–2014 with the MAR model. Model reliability was assessed against: weather stations, albedo from MODIS data and previous estimates of the San Rafael glacier’s surface mass balance. We obtain a surface mass balance of –2.48 ± 1.86 Gta –1 and a non-significant trend. Temperature (a physically downscaled variable) was a key variable through its direct impact on melting, but also on solid precipitation. We found that the annual, spring and autumn icefield mean surface mass balance had a significant negative correlation with the Southern Annular Mode (SAM) through air temperature. Over the next century, the impacts of greenhouse gas emissions are projected to keep the SAM in a positive phase and accelerate atmospheric warming. Thus, the NPI is expected to increase its mass loss and its contribution to future sea level rise. However, more in-situ data (precipitation, temperature and accumulation/ablation on the icefield) are needed to improve the projection’s uncertainty.

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Publication Details

Journal
Journal of Glaciology
Published
2025-12-05
DOI
https://doi.org/10.1017/jog.2025.10106
Primary Topic
Cryospheric studies and observations
Type
article
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article

Surface mass balance of the Northern Patagonian Ice Field and links with climate variability modes and atmospheric variables

Mark S. Raleigh, María Santolaria-Otín, Vincent Favier, Lucas Davaze et al.
Journal of Glaciology
Cryospheric studies and observations
article

Surface mass balance of the Northern Patagonian Ice Field and links with climate variability modes and atmospheric variables

Mark S. Raleigh, María Santolaria-Otín, Vincent Favier, Lucas Davaze, Fabien Gillet‐Chaulet, Gabriela Collao-Barrios, Hubert Gallée
article en

Abstract

Abstract Patagonia Icefields are large ice masses with a significant contribution to sea level rise among mountain glaciers in the Southern Hemisphere. In order to improve the estimation of the Northern Patagonia Icefield (NPI) surface mass balance and to better understand its relationship with climate variables and modes, we simulated the surface mass balance over the icefield during the period 1980–2014 with the MAR model. Model reliability was assessed against: weather stations, albedo from MODIS data and previous estimates of the San Rafael glacier’s surface mass balance. We obtain a surface mass balance of –2.48 ± 1.86 Gta –1 and a non-significant trend. Temperature (a physically downscaled variable) was a key variable through its direct impact on melting, but also on solid precipitation. We found that the annual, spring and autumn icefield mean surface mass balance had a significant negative correlation with the Southern Annular Mode (SAM) through air temperature. Over the next century, the impacts of greenhouse gas emissions are projected to keep the SAM in a positive phase and accelerate atmospheric warming. Thus, the NPI is expected to increase its mass loss and its contribution to future sea level rise. However, more in-situ data (precipitation, temperature and accumulation/ablation on the icefield) are needed to improve the projection’s uncertainty.

Journal of GlaciologyVol. 72
Centre National de la Recherche Scientifique (FR), Oregon State University (US), University of Liège (BE), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Faculty of Media (SI), Institut des Géosciences de l'Environnement (FR), Institut de Recherche pour le Développement (FR), Universitat de Barcelona (ES), Université Grenoble Alpes (FR)
Openalex Percentile: Top 57%
Cryospheric studies and observations
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