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

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Authors: Qihan Ma, Yilun Han, Ruibo Lei, Jiping Liu, Yongqiang Yu, Mirong Song, Shiming Xu, Guang Jun Zhang, Renhe  Zhang, Yong Wang
Cited by: 1
References: 63

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.

Fields of Study & Subjects

Arctic and Antarctic ice dynamics Atmospheric aerosols and clouds Climate variability and models

Publication details

Journal / source
Geophysical Research Letters
Publisher
American Geophysical Union (AGU)
Volume
53
Issue
7
Publication date
7 April 2026
Language
EN