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Regime-Dependent Relationship between Cloud Feedback and Aerosol-Cloud Interaction in an E3SMv2 Perturbed Parameter Ensemble

Yi
Qin
Pacific Northwest National Laboratory (PNNL)
Po-Lun Ma (PNNL)
Mark Zelinka (LLNL)
Stephen Klein (LLNL)
Tao Zhang (BNL)
Poster
Recent studies reveal a potential connection between cloud response to warming and to aerosol in climate models. However, the physical plausibility of this relationship remains uncertain. Here we investigate the relationship between cloud feedback (CF) and effective radiative forcing due to aerosol-cloud interaction (ERFaci) over the global ocean domain with various cloud regimes using an E3SMv2 perturbed parameter ensemble. Our analysis shows both strong positive and negative correlations among different cloud regimes, primarily driven by opposite cloud feedback responses to perturbed parameters. We identify the mean-state turbulent mixing strength as a key factor influencing both CF and ERFaci, thus enabling significant correlations between the two. This research provides a process-level understanding of the CF-ERFaci relationship beyond the global average scale and highlights their complex interaction across diverse cloud regimes.
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