Improved Understanding of Multicentury Greenland Ice Sheet Response to Strong Warming in the Coupled CESM2‐CISM2 With Regional Grid Refinement

Abstract The simulation of ice sheet‐climate interactions, such as surface mass balance fluxes, is sensitive to model grid resolution. Here we simulate the multi‐century evolution of the Greenland Ice Sheet (GrIS) and its interaction with the climate using the Community Earth System Model version 2.2 (CESM2.2) including an interactive GrIS component (the Community Ice Sheet Model v2.1 [CISM2.1]) under an idealized warming scenario (atmospheric increases by 1% until quadrupling the pre‐industrial level and then is held fixed). A variable‐resolution (VR) grid with 1/ regional refinement over the broader Arctic and resolution elsewhere is applied to the atmosphere and land components, and the results are compared with conventional lat‐lon grid simulations to investigate the impact of grid refinement. Compared with the runs, the VR run features a slower rate of surface melt, especially over the western and northern GrIS, where the ice surface slopes gently toward the periphery. This difference pattern originates primarily from higher snow albedo and, thus, weaker albedo feedback in the VR run. The VR grid better captures the CISM ice sheet topography by reducing elevation discrepancies between CAM and CISM and is, therefore, less reliant on the downscaling algorithm, which is known to underestimate albedo gradients. The sea level rise contribution from the GrIS in the VR run is 53 mm by year 150 and 831 mm by year 350, approximately 40% and 20% less than that of the runs, respectively.

Authors

Institutions

Publication Details

Journal
Journal of Advances in Modeling Earth Systems
Published
2025-02-01
DOI
https://doi.org/10.1029/2024ms004310
Citations
1
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
1.30

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improved Understanding of Multicentury Greenland Ice Sheet Response to Strong Warming in the Coupled CESM2‐CISM2 With Regional Grid Refinement

Andrew Gettelman, Aneesh C. Subramanian, Jan T. M. Lenaerts, Rajashree Tri Datta et al.
1 citations
Journal of Advances in Modeling Earth Systems
Cryospheric studies and observations
1.30
article

Improved Understanding of Multicentury Greenland Ice Sheet Response to Strong Warming in the Coupled CESM2‐CISM2 With Regional Grid Refinement

Andrew Gettelman, Aneesh C. Subramanian, Jan T. M. Lenaerts, Rajashree Tri Datta, Ziqi Yin, Adam Herrington
article en
1 citations

Abstract

Abstract The simulation of ice sheet‐climate interactions, such as surface mass balance fluxes, is sensitive to model grid resolution. Here we simulate the multi‐century evolution of the Greenland Ice Sheet (GrIS) and its interaction with the climate using the Community Earth System Model version 2.2 (CESM2.2) including an interactive GrIS component (the Community Ice Sheet Model v2.1 [CISM2.1]) under an idealized warming scenario (atmospheric increases by 1% until quadrupling the pre‐industrial level and then is held fixed). A variable‐resolution (VR) grid with 1/ regional refinement over the broader Arctic and resolution elsewhere is applied to the atmosphere and land components, and the results are compared with conventional lat‐lon grid simulations to investigate the impact of grid refinement. Compared with the runs, the VR run features a slower rate of surface melt, especially over the western and northern GrIS, where the ice surface slopes gently toward the periphery. This difference pattern originates primarily from higher snow albedo and, thus, weaker albedo feedback in the VR run. The VR grid better captures the CISM ice sheet topography by reducing elevation discrepancies between CAM and CISM and is, therefore, less reliant on the downscaling algorithm, which is known to underestimate albedo gradients. The sea level rise contribution from the GrIS in the VR run is 53 mm by year 150 and 831 mm by year 350, approximately 40% and 20% less than that of the runs, respectively.

Journal of Advances in Modeling Earth SystemsVol. 17(2)
NSF National Center for Atmospheric Research (US), Pacific Northwest National Laboratory (US), University of Colorado Boulder (US), Delft University of Technology (NL)
National Science Foundation, National Center for Atmospheric Research
Openalex Percentile: Top 26%
Cryospheric studies and observations
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.