Methods
This page describes the methodology used for estimating the deglaciation year and the glacier projection visualizations.
Overview
We simulate individual glacier thickness and volume projections from 2000 to 2100 using climate scenarios (climate models and emission scenarios) from CMIP5 and CMIP6 and large-scale glacier models. We primarily focus on +2.7°C global warming above pre-industrial by 2100, as this represents the predicted real-world outcome of current policies and actions. For comparison, we also include projections under the +1.5°C target of the Paris Agreement. We chose climate scenarios with a range of ±0.2°C from +1.5°C or +2.7°C.
The warming levels are defined as the 2071–2100 global mean temperature difference relative to 1850–1900, with an added +0.69°C warming between 1850–1900 and 1986–2005 (ref. IPCC AR6).
Deglaciation year definition
The deglaciation year is defined as the point when less than 10% of a glacier’s 2020 volume is expected to remain. While small ice patches might persist beyond this year, the landscape will be very different compared to the current one. This 10%-threshold is considered appropriate for the Alps.
It is important to note that positive feedback mechanisms, such as localized warming due to glacier retreat, are not accounted for in large-scale glacier models.
10% vs 5% threshold differences
Changing the deglaciation year definition from a 10% threshold to a 5% threshold results in deglaciation years that are, on median, four years later, but the deglaciation year can be up to 34 years later. The deglaciation year can be as much as 34 years later. For approximately 40 glaciers, the remaining glacier mass in 2100 is between 5% and 10%, meaning no deglaciation year is recorded under the 5% threshold.
Likely range
The likely range describes the spread of projections and is defined as the 17th to 83rd percentiles, consistent with IPCC AR6.
If the data follow a Gaussian distribution, this range corresponds approximately to one standard deviation (±1σ) from the mean, capturing about 68% of the available projections.
Glacier projection data sources and models
The 2020 glacier volume, deglaciation year, and global and regional glacier volume change projections are derived from these three glacier models (specific model versions and data further summarized in Zekollari et al. (2024)) by simulating each of the >200,000 glaciers individually:
- OGGM v1.6.1
- PyGEM-OGGM
- Data: DOI
- Documentation: PyGEM
- Details:
- CMIP5 and CMIP6 available.
- Same scenarios as presented in Rounce et al., 2023.
- For +2.7±0.2°C: n=7 climate scenarios
- For +1.5±0.2°C: n=9 climate scenarios
- GloGEM
- Data: DOI
- Documentation: Huss & Hock (2015)
- Details:
- CMIP6 only.
- For +2.7±0.2°C: n=3 climate scenarios
- For +1.5±0.2°C: n=4 climate scenarios
The 3D glacier thickness projections are based solely on OGGM simulations and visualized using the Glacier:3D-Viz tool. These 3D projections differ slightly from the other estimates, which are based on a combination of three glacier models.
Note that these glacier projections are based on global glacier models that use globally available glacier observation data and not use data that is only available for a few glaciers (i.e., only geodetic but no in-situ observations directly used). As a result, the models perform better on a global scale than at the individual glacier scale. Although some important processes at the individual glacier scale are not represented, we present individual glacier results here for educational purposes. In addition, the per-glacier and regional volume in 2020 is not an observed volume but a modelled volume.
Results aggregation
For the 2020 glacier volume, deglaciation year, and regional glacier volume change projections, we present the median and the likely range across all available combinations of glacier models and climate scenarios. Since OGGM includes more climate scenarios, its projections contribute the most weight to the overall results.
The mean global warming above pre-industrial across all combinations of glacier models and climate scenarios is:
- +1.57°C for the +1.5±0.2°C range.
- +2.71°C for the +2.7±0.2°C range.
Photo sources and licenses
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Photographer: Max Baier
Date: 10.08.2020
Original URL: https://commons.wikimedia.org/wiki/File:Pasterze_202008.jpg
License: CC BY-SA 4.0 -
Photographer: Markus Strudl
Date: 09.08.2024 -
Photographer: Lambrecht A.
Date: 12.09.2006
Original URL: http://nsidc.org/data/glacier_photo/search/image_info/hintereisferner20060912
Citation: Lambrecht, A.. 2006. Hintereis Ferner Glacier: From the Glacier Photograph Collection. Boulder, Colorado USA: National Snow and Ice Data Center. Digital media. -
Photographer: Rainer Prinz
Date: 08.09.2014
Original URL: http://nsidc.org/data/glacier_photo/search/image_info/hintereisferner20140908
Citation: Prinz, Rainer. 2014. Hintereis Ferner Glacier: From the Glacier Photograph Collection. Boulder, Colorado USA: National Snow and Ice Data Center. Digital media. -
Photographer: Romeo Walser
Date: 08.10.2018
Original URL: https://commons.wikimedia.org/wiki/File:Rhonegletscher_Sept-2018a.jpg
License: CC BY-SA 4.0 -
Photographer: Stephan Peccini
Date: 04.09.2014
Original URL: http://nsidc.org/data/glacier_photo/search/image_info/gebroulaz2014090402
Citation: Peccini, Stephan. 2014. Gebraoulaz Glacier: From the Glacier Photograph Collection. Boulder, Colorado USA: National Snow and Ice Data Center. Digital media.
License: CC BY-NC-SA 4.0 -
Photographer: Matthias Huss
Date: 24.07.2009
Original URL: http://nsidc.org/data/glacier_photo/search/image_info/marmolada-20090724-huss
Citation: Huss, Matthias. 2009. Marmolada Glacier: From the Glacier Photograph Collection. Boulder, Colorado USA: National Snow and Ice Data Center. Digital media. -
Photographer: Lilian Schuster
Date: 2024