Articles | Volume 18, issue 1
https://doi.org/10.5194/tc-18-475-2024
https://doi.org/10.5194/tc-18-475-2024
Research article
 | 
01 Feb 2024
Research article |  | 01 Feb 2024

Cloud- and ice-albedo feedbacks drive greater Greenland Ice Sheet sensitivity to warming in CMIP6 than in CMIP5

Idunn Aamnes Mostue, Stefan Hofer, Trude Storelvmo, and Xavier Fettweis

Related authors

Positive feedbacks drive the Greenland ice sheet evolution in millennial-length MAR–GISM simulations under a high-end warming scenario
Chloë Marie Paice, Xavier Fettweis, and Philippe Huybrechts
EGUsphere, https://doi.org/10.5194/egusphere-2025-2465,https://doi.org/10.5194/egusphere-2025-2465, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
Short summary
Dust radiative forcing in CMIP6 Earth System models: insights from the AerChemMIP piClim-2xdust experiment
Ove W. Haugvaldstad, Dirk Olivié, Trude Storelvmo, and Michael Schulz
EGUsphere, https://doi.org/10.5194/egusphere-2025-1030,https://doi.org/10.5194/egusphere-2025-1030, 2025
Short summary
How well do the regional atmospheric and oceanic models describe the Antarctic sea ice albedo?
Kristiina Verro, Cecilia Äijälä, Roberta Pirazzini, Ruzica Dadic, Damien Maure, Willem Jan van de Berg, Giacomo Traversa, Christiaan T. van Dalum, Petteri Uotila, Xavier Fettweis, Biagio Di Mauro, and Milla Johansson
EGUsphere, https://doi.org/10.5194/egusphere-2025-386,https://doi.org/10.5194/egusphere-2025-386, 2025
Short summary
Inclusion of the ECMWF ecRad radiation scheme (v1.5.0) in the MAR (v3.14), regional evaluation for Belgium, and assessment of surface shortwave spectral fluxes at Uccle
Jean-François Grailet, Robin J. Hogan, Nicolas Ghilain, David Bolsée, Xavier Fettweis, and Marilaure Grégoire
Geosci. Model Dev., 18, 1965–1988, https://doi.org/10.5194/gmd-18-1965-2025,https://doi.org/10.5194/gmd-18-1965-2025, 2025
Short summary
Modelled surface climate response to effusive Icelandic volcanic eruptions: sensitivity to season and size
Tómas Zoëga, Trude Storelvmo, and Kirstin Krüger
Atmos. Chem. Phys., 25, 2989–3010, https://doi.org/10.5194/acp-25-2989-2025,https://doi.org/10.5194/acp-25-2989-2025, 2025
Short summary

Related subject area

Discipline: Ice sheets | Subject: Greenland
Brief communication: Storstrømmen Glacier, northeastern Greenland, primed for end-of-decade surge
Jonas K. Andersen, Rasmus P. Meyer, Flora S. Huiban, Mads L. Dømgaard, Romain Millan, and Anders A. Bjørk
The Cryosphere, 19, 1717–1724, https://doi.org/10.5194/tc-19-1717-2025,https://doi.org/10.5194/tc-19-1717-2025, 2025
Short summary
Historically consistent mass loss projections of the Greenland ice sheet
Charlotte Rahlves, Heiko Goelzer, Andreas Born, and Petra M. Langebroek
The Cryosphere, 19, 1205–1220, https://doi.org/10.5194/tc-19-1205-2025,https://doi.org/10.5194/tc-19-1205-2025, 2025
Short summary
A comparison of supraglacial meltwater features throughout contrasting melt seasons: southwest Greenland
Emily Glen, Amber Leeson, Alison F. Banwell, Jennifer Maddalena, Diarmuid Corr, Olivia Atkins, Brice Noël, and Malcolm McMillan
The Cryosphere, 19, 1047–1066, https://doi.org/10.5194/tc-19-1047-2025,https://doi.org/10.5194/tc-19-1047-2025, 2025
Short summary
Enhanced MOIDS-derived ice physical properties within CoLM revealing bare ice-snow-albedo feedback over Greenland
Shuyang Guo, Yongjiu Dai, Hua Yuan, and Hongbin Liang
EGUsphere, https://doi.org/10.5194/egusphere-2025-230,https://doi.org/10.5194/egusphere-2025-230, 2025
Short summary
Ice speed of a Greenlandic tidewater glacier modulated by tide, melt, and rain
Shin Sugiyama, Shun Tsutaki, Daiki Sakakibara, Izumi Asaji, Ken Kondo, Yefan Wang, Evgeny Podolskiy, Guillaume Jouvet, and Martin Funk
The Cryosphere, 19, 525–540, https://doi.org/10.5194/tc-19-525-2025,https://doi.org/10.5194/tc-19-525-2025, 2025
Short summary

Cited articles

Barthel, A., Agosta, C., Little, C. M., Hattermann, T., Jourdain, N. C., Goelzer, H., Nowicki, S., Seroussi, H., Straneo, F., and Bracegirdle, T. J.: CMIP5 model selection for ISMIP6 ice sheet model forcing: Greenland and Antarctica, The Cryosphere, 14, 855–879, https://doi.org/10.5194/tc-14-855-2020, 2020. a, b
Bennartz, R., Shupe, M. D., Turner, D. D., Walden, V. P., Steffen, K., Cox, C. J., Kulie, M. S., Miller, N. B., and Pettersen, C.: July 2012 Greenland melt extent enhanced by low-level liquid clouds, Nature, 496, 83–86, https://doi.org/10.1038/nature12002, 2013. a, b, c
Box, J. E., Fettweis, X., Stroeve, J. C., Tedesco, M., Hall, D. K., and Steffen, K.: Greenland ice sheet albedo feedback: thermodynamics and atmospheric drivers, The Cryosphere, 6, 821–839, https://doi.org/10.5194/tc-6-821-2012, 2012. a, b
Box, J. E., Wehrlé, A., van As, D., Fausto, R. S., Kjeldsen, K. K., Dachauer, A., Ahlstrøm, A. P., and Picard, G.: Greenland Ice Sheet Rainfall, Heat and Albedo Feedback Impacts From the Mid-August 2021 Atmospheric River, Geophys. Res. Lett., 49, https://doi.org/10.1029/2021GL097356, 2022. a, b
Brun, E., David, P., Sudul, M., and Brunot, G.: A numerical model to simulate snow-cover stratigraphy for operational avalanche forecasting, J. Glaciol., 38, 13–22, https://doi.org/10.3189/S0022143000009552, 1992. a, b
Download
Short summary
The latest generation of climate models (Coupled Model Intercomparison Project Phase 6 – CMIP6) warm more over Greenland and the Arctic and thus also project a larger mass loss from the Greenland Ice Sheet (GrIS) compared to the previous generation of climate models (CMIP5). Our work suggests for the first time that part of the greater mass loss in CMIP6 over the GrIS is driven by a difference in the surface mass balance sensitivity from a change in cloud representation in the CMIP6 models.
Share