English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Greenland ice sheet-climate coupling in CMIP6 Earth System models

Authors

Smith,  Robin
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Vizcaino,  Miren
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Goelzer,  Heiko
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Lipscomb,  William
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in GFZpublic
Supplementary Material (public)
There is no public supplementary material available
Citation

Smith, R., Vizcaino, M., Goelzer, H., Lipscomb, W. (2023): Greenland ice sheet-climate coupling in CMIP6 Earth System models, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3815


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020730
Abstract
The majority of ice sheet mass loss projections conducted under the Ice Sheet Model Intercomparison Project for CMIP6 (ISMIP6) were done with standalone ice sheet models. However, a protocol was also designed to look at Greenland mass loss for the few Earth System Models participating in CMIP6 that had interactive ice sheet components or were developing that capability.A small but growing number of CMIP6 Earth System Models are producing simulations following that protocol. Here we present results from three of them together (CESM2-CISM2, UKESM-BISICLES, NorESM2-CISM2). We discuss processes and timescales of ice–climate coupling, the simulated impact of GrIS changes on the Greenland climate and the wider climate system (i.e., feedbacks), as well as our diverse approaches to initialisation and other modelling choices.