Identifying Energy Balance Drivers of Greenland Ice Sheet Surface Melt Using Causal Discovery

Abstract Greenland Ice Sheet (GrIS) mass loss has accelerated in recent decades, primarily due to enhanced surface melt. Identifying the causal dependencies of surface melt remains challenging with conventional correlations. Using the causal discovery algorithm applied to CESM2 large‐ensemble simulations and evaluated against two high‐resolution regional climate models, we identify significant contemporaneous positive links from melt to net shortwave radiation (reflecting melt–albedo feedback) and from sensible and latent heat fluxes to melt. These results highlight shortwave radiation and turbulent heating as dominant drivers of GrIS summer melt anomalies over the ablation zone at monthly timescales. Compared with correlations, isolates fewer but more physically interpretable dependencies. By the end of the century (SSP3‐7.0), these links persist but the turbulent heat‐related ones become undirected, indicating reduced statistical identifiability and possible stronger instantaneous surface–atmosphere coupling in a warmer climate.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-05-30
DOI
https://doi.org/10.1029/2025gl119928
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
0.00

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article

Identifying Energy Balance Drivers of Greenland Ice Sheet Surface Melt Using Causal Discovery

Sahara Ali, Aneesh C. Subramanian, Danni Du, Ziqi Yin et al.
Geophysical Research Letters
Cryospheric studies and observations
article

Identifying Energy Balance Drivers of Greenland Ice Sheet Surface Melt Using Causal Discovery

Sahara Ali, Aneesh C. Subramanian, Danni Du, Ziqi Yin, Rajashree Datta, Jianwu Wang, Adam R. Herrington, Omar Faruque
article en

Abstract

Abstract Greenland Ice Sheet (GrIS) mass loss has accelerated in recent decades, primarily due to enhanced surface melt. Identifying the causal dependencies of surface melt remains challenging with conventional correlations. Using the causal discovery algorithm applied to CESM2 large‐ensemble simulations and evaluated against two high‐resolution regional climate models, we identify significant contemporaneous positive links from melt to net shortwave radiation (reflecting melt–albedo feedback) and from sensible and latent heat fluxes to melt. These results highlight shortwave radiation and turbulent heating as dominant drivers of GrIS summer melt anomalies over the ablation zone at monthly timescales. Compared with correlations, isolates fewer but more physically interpretable dependencies. By the end of the century (SSP3‐7.0), these links persist but the turbulent heat‐related ones become undirected, indicating reduced statistical identifiability and possible stronger instantaneous surface–atmosphere coupling in a warmer climate.

Geophysical Research LettersVol. 53(11)
NSF National Center for Atmospheric Research (US), University of North Texas (US), University of Colorado Boulder (US), Princeton University (US), NSF NCAR Climate and Global Dynamics Laboratory (US), University of Maryland, Baltimore County (US), Delft University of Technology (NL)
National Science Foundation
Climate action
Openalex Percentile: Top 5%
Cryospheric studies and observations
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