Improved Simulation of Seasonal Variation of Arctic Low Clouds by Resolving Subgrid Open Water Fluxes to the Atmosphere in CESM2

Abstract Open water in sea ice significantly influences Arctic low‐cloud formation. However, current global climate models (GCMs), constrained by grid‐scale coupling between the atmosphere and surface components, cannot resolve subgrid heat fluxes and clouds contrasts between open water and sea ice, contributing to biases in Arctic low‐cloud simulations. Here, we develop a novel framework that explicitly resolves subgrid variations in surface component fluxes to the atmosphere in a state‐of‐the‐art GCM. Compared with the conventional framework, the new scheme significantly improves the simulated Arctic low‐cloud seasonality, increasing the correlation coefficient with observations from 0.55 to 0.70. This improvement arises from the seasonal variations in subgrid low‐cloud contrasts between open water and sea ice. The contrast is inversely proportional to the fractional coverage of open water during cold seasons, becoming pronounced when coverage falls below ∼30% at 2° resolution, due to substantial heat and moisture exchanges between small open water and the atmosphere.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-04-07
DOI
https://doi.org/10.1029/2025gl119467
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Improved Simulation of Seasonal Variation of Arctic Low Clouds by Resolving Subgrid Open Water Fluxes to the Atmosphere in CESM2

Yilun Han, Guang J. Zhang, Qihan Ma, Mirong Song et al.
Geophysical Research Letters
Arctic and Antarctic ice dynamics
article

Improved Simulation of Seasonal Variation of Arctic Low Clouds by Resolving Subgrid Open Water Fluxes to the Atmosphere in CESM2

Yilun Han, Guang J. Zhang, Qihan Ma, Mirong Song, Renhe  Zhang, Jiping Liu, Ruibo Lei
article en

Abstract

Abstract Open water in sea ice significantly influences Arctic low‐cloud formation. However, current global climate models (GCMs), constrained by grid‐scale coupling between the atmosphere and surface components, cannot resolve subgrid heat fluxes and clouds contrasts between open water and sea ice, contributing to biases in Arctic low‐cloud simulations. Here, we develop a novel framework that explicitly resolves subgrid variations in surface component fluxes to the atmosphere in a state‐of‐the‐art GCM. Compared with the conventional framework, the new scheme significantly improves the simulated Arctic low‐cloud seasonality, increasing the correlation coefficient with observations from 0.55 to 0.70. This improvement arises from the seasonal variations in subgrid low‐cloud contrasts between open water and sea ice. The contrast is inversely proportional to the fractional coverage of open water during cold seasons, becoming pronounced when coverage falls below ∼30% at 2° resolution, due to substantial heat and moisture exchanges between small open water and the atmosphere.

Geophysical Research LettersVol. 53(7)
Polar Research Institute of China (CN), Scripps Institution of Oceanography (US), Sun Yat-sen University (CN), Chinese Academy of Sciences (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Institute of Atmospheric Physics (CN), University of Chinese Academy of Sciences (CN), Shanghai Ocean University (CN), Tsinghua University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Life below water
Openalex Percentile: Top 22%
Arctic and Antarctic ice dynamics
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