Partitioning the Uncertainty of Ensemble Projections of Global Glacier Mass Change
- 1University of Bremen, Institute of Geography, Bremen, Germany (ben.marzeion@uni-bremen.de)
- 2MARUM - Center for Marine Environmental Sciences, University of Bremen, Germany
- 3Geophysical Institute, University of Alaska Fairbanks, USA
- 4Antarctic Research Centre, Victoria University of Wellington, New Zealand
- 5Department of Anthropology and Geography, Colorado State University, USA
- 6Institut des Geosciences de l'Environnement, CNRS, IRD, Univ. Grenoble Alpes, Grenoble, France
- 7Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan
- 8Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, Switzerland
- 9Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland
- 10Department of Geosciences, University of Fribourg, Switzerland
- 11Department of Physical Geography, Utrecht University, The Netherlands
- 12Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Austria
- 13Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, Canada
- 14School of Geographical Sciences, University of Bristol, UK
- 15Institute for Marine and Atmospheric research Utrecht, Utrecht University, The Netherlands
- 16Department of Geoscience and Remote Sensing, Delft University of Technology, The Netherlands and Laboratoire de Glaciologie, Universite libre de Bruxelles, Belgium
Glacier mass loss is recognized as a significant contributor to current sea-level rise. However, large uncertainties remain in projections of glacier mass loss on global and regional scales. We present an ensemble of 279 global-scale glacier mass and area change projections for the 21st century based on eleven glacier models using up to ten General Circulation Models (GCMs) and four Representative Concentration Pathways (RCPs) as boundary conditions. We partition the total uncertainty into the individual contributions caused by glacier models, GCMs, RCPs, and natural variability. We find that emission scenario uncertainty is growing throughout the 21st century, and is the largest source of uncertainty by 2100. The relative importance of glacier model uncertainty decreases over time, but it is the greatest source of uncertainty until the middle of this century. The projection uncertainty associated with natural variability is small on the global scale but has strong effects on small regional scales. The projected global mass loss by 2100 relative to 2015 (75±64 mm sea-level equivalent (SLE) for RCP2.6, 165±98 mm SLE for RCP8.5) is lower than, but within the uncertainty range of previous projections.
How to cite: Marzeion, B., Hock, R., Anderson, B., Bliss, A., Champollion, N., Fujita, K., Huss, M., Immerzeel, W., Kraaijenbrink, P., Malles, J.-H., Maussion, F., Radic, V., Rounce, D., Sakai, A., Shannon, S., van de Wal, R., and Zekollari, H.: Partitioning the Uncertainty of Ensemble Projections of Global Glacier Mass Change, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5579, https://doi.org/10.5194/egusphere-egu2020-5579, 2020