Twenty-first century global glacier evolution under CMIP6 scenarios and the role of glacier-specific observations

Abstract. Projecting the global evolution of glaciers is crucial to quantify future sea-level rise and changes in glacier-fed rivers. Recent intercomparison efforts have shown that a large part of the uncertainties in the projected glacier evolution is driven by the glacier model itself and by the data used for initial conditions and calibration. Here, we quantify the effect that mass balance observations, one of the most crucial data sources used in glacier modelling, have on glacier projections. For this, we model the 21st century global glacier evolution under Coupled Model Intercomparison Phase 6 project (CMIP6) climate scenarios with the Global Glacier Evolution Model (GloGEM) calibrated to match glacier-specific mass balance observations, as opposed to relying on regional mass balance observations. We find that the differences in modelled 21st century glacier changes can be large at the scale of individual glaciers (up to several tens of percent), but tend to average out at regional to global scales (a few percent at most). Our study thus indicates that the added value of relying on glacier-specific observations is at the subregional and local scale, which will increasingly allow projecting the glacier-specific evolution and local impacts for every individual glacier on Earth. To increase the ensemble of models that project global glacier evolution under CMIP6 scenarios, simulations are also performed with the Open Global Glacier Model (OGGM). We project the 2015–2100 global glacier loss to vary between 25 ± 15 % (GloGEM) and 29 ± 14 % (OGGM) under SSP1-2.6 to 46 ± 26 % and 54 ± 29 % under SSP5-8.5 (ensemble median, with 95 % confidence interval; calibration with glacier-specific observations). Despite some differences at the regional scale and a slightly more pronounced sensitivity to changing climatic conditions, our results agree well with the recent projections by Rounce et al. (2023), thereby projecting, for any emission scenario, a higher 21st century mass loss than the current community estimate from the second phase of the Glacier Model Intercomparison Project (GlacierMIP2).

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Publication Details

Journal
˜The œcryosphere
Published
2024-11-15
DOI
https://doi.org/10.5194/tc-18-5045-2024
Citations
25
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
9.41

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article

Twenty-first century global glacier evolution under CMIP6 scenarios and the role of glacier-specific observations

Matthias Huss, Romain Hugonnet, David R. Rounce, Loris Compagno et al.
25 citations
˜The œcryosphere
Cryospheric studies and observations
9.41
article

Twenty-first century global glacier evolution under CMIP6 scenarios and the role of glacier-specific observations

Matthias Huss, Romain Hugonnet, David R. Rounce, Loris Compagno, Rodrigo Aguayo, Seyedhamidreza Mojtabavi, Daniel Farinotti, Nicolas Champollion, Lilian Schuster, Harry Zekollari, Fabien Maussion, Ben Marzeion
article en
25 citations

Abstract

Abstract. Projecting the global evolution of glaciers is crucial to quantify future sea-level rise and changes in glacier-fed rivers. Recent intercomparison efforts have shown that a large part of the uncertainties in the projected glacier evolution is driven by the glacier model itself and by the data used for initial conditions and calibration. Here, we quantify the effect that mass balance observations, one of the most crucial data sources used in glacier modelling, have on glacier projections. For this, we model the 21st century global glacier evolution under Coupled Model Intercomparison Phase 6 project (CMIP6) climate scenarios with the Global Glacier Evolution Model (GloGEM) calibrated to match glacier-specific mass balance observations, as opposed to relying on regional mass balance observations. We find that the differences in modelled 21st century glacier changes can be large at the scale of individual glaciers (up to several tens of percent), but tend to average out at regional to global scales (a few percent at most). Our study thus indicates that the added value of relying on glacier-specific observations is at the subregional and local scale, which will increasingly allow projecting the glacier-specific evolution and local impacts for every individual glacier on Earth. To increase the ensemble of models that project global glacier evolution under CMIP6 scenarios, simulations are also performed with the Open Global Glacier Model (OGGM). We project the 2015–2100 global glacier loss to vary between 25 ± 15 % (GloGEM) and 29 ± 14 % (OGGM) under SSP1-2.6 to 46 ± 26 % and 54 ± 29 % under SSP5-8.5 (ensemble median, with 95 % confidence interval; calibration with glacier-specific observations). Despite some differences at the regional scale and a slightly more pronounced sensitivity to changing climatic conditions, our results agree well with the recent projections by Rounce et al. (2023), thereby projecting, for any emission scenario, a higher 21st century mass loss than the current community estimate from the second phase of the Glacier Model Intercomparison Project (GlacierMIP2).

˜The œcryosphereVol. 18(11)
Université Libre de Bruxelles (BE), Vrije Universiteit Brussel (BE), University of Fribourg (CH), University of Bremen (DE), Universität Innsbruck (AT), Justus-Liebig-Universität Gießen (DE), University of Washington (US), Board of the Swiss Federal Institutes of Technology (CH), Swiss Federal Institute for Forest, Snow and Landscape Research (CH), ETH Zurich (CH), University of Bristol (GB), Institut des Géosciences de l'Environnement (FR), Swiss Re (Switzerland) (CH), Carnegie Mellon University (US), Université Grenoble Alpes (FR)
National Aeronautics and Space Administration, National Academies of Sciences, Engineering, and Medicine, Österreichischen Akademie der Wissenschaften, Fonds De La Recherche Scientifique - FNRS, Fonds Wetenschappelijk Onderzoek, Horizon 2020, HORIZON EUROPE European Research Council
Climate action
Openalex Percentile: Top 1%
Cryospheric studies and observations
9.41
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