July 8, 2025
Journal Article

Impact of Turbulence Representation on the Relationship between Cloud Feedback and Aerosol- Cloud Interaction in an E3SMv2 Perturbed Parameter Ensemble

Abstract

Recent studies reveal an anti-correlation between global cloud feedback (CF) and effective radiative forcing due to aerosol-cloud interaction (ERFaci) in climate models, but its physical plausibility remains uncertain. Here we investigate whether different turbulence representations, specifically through perturbing turbulence parameters, contribute to this relationship over the global ocean using an E3SMv2 perturbed parameter ensemble. The anti-correlation appears only in the tropical ascent regime. In the Northern Hemisphere midlatitude and high latitude regimes, there is no significant correlation, and in the tropical marine low cloud and Southern Ocean regimes, the correlation is positive. These opposite correlations are primarily driven by opposing CF responses to perturbed parameters. We find that the mean-state turbulent mixing strength affects both CF and ERFaci, enabling strong correlations in certain regimes. This study highlights the complex linkages between CF and ERFaci through turbulent processes across diverse cloud regimes.

Published: July 8, 2025

Citation

Qin Y., P. Ma, M. Zelinka, S.A. Klein, T. Zhang, X. Zheng, and V.E. Larson, et al. 2025. Impact of Turbulence Representation on the Relationship between Cloud Feedback and Aerosol- Cloud Interaction in an E3SMv2 Perturbed Parameter Ensemble. Journal of Advances in Modeling Earth Systems 17, no. 6:e2024MS004756. PNNL-SA-204590. doi:10.1029/2024MS004756