Preprints
https://doi.org/10.5194/egusphere-2024-4020
https://doi.org/10.5194/egusphere-2024-4020
09 Jan 2025
 | 09 Jan 2025
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

Features of mid- and high-latitude low-level clouds and their relation to strong aerosol effects in the Energy Exascale Earth System Model version 2 (E3SMv2)

Hui Wan, Abhishek Yenpure, Berk Geveci, Richard C. Easter, Philip J. Rasch, Kai Zhang, and Xubin Zeng

Abstract. The E3SMv2 model, like various other global climate models that include representations of aerosol-cloud interactions, uses an empirically chosen lower bound on the simulated in-cloud cloud droplet number concentration (CDNC) to help constrain the effective radiative forcing of anthropogenic aerosols, ERFaer. This study identifies where ultra-low CDNCs (i.e., concentrations lower than 10 cm-3) occur in the stratiform and shallow convective clouds simulated by E3SMv2 and which of the occurrences have the strongest impact on ERFaer. Process-level analyses are presented to reveal characteristics of the cloud droplet formation and removal processes associated with impactful ultra-low CDNCs.

Simulations performed with present-day emissions show that ultra-low CDNCs are most frequently found over the mid- and high-latitude oceans in both hemispheres, while the occurrences are also frequent in polluted continental regions despite the high aerosol concentrations. Ultra-low CDNCs with the largest impacts on the simulated regional and global mean ERFaer are found in the lower troposphere in the Northern Hemisphere middle and high latitudes. These cases are typically associated with large cloud fractions, strong water vapor condensation, weak turbulence, and lack of cloud droplet nucleation from aerosol activation. Under such atmospheric conditions, boosting aerosol activation and enhancing turbulent mixing of cloud droplet number can increase the simulated CDNCs, although the magnitude of the global mean ERFaer increases undesirably. The reason for this model behavior is discussed. Overall, our study suggests that mid- and high-latitude low-level stratus occurring under weak turbulence is a cloud regime worth further investigating for the purpose of identifying and addressing the root causes of ultra-low CDNCs and strong ERFaer in E3SM.

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Hui Wan, Abhishek Yenpure, Berk Geveci, Richard C. Easter, Philip J. Rasch, Kai Zhang, and Xubin Zeng

Status: open (until 06 Mar 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Hui Wan, Abhishek Yenpure, Berk Geveci, Richard C. Easter, Philip J. Rasch, Kai Zhang, and Xubin Zeng

Data sets

CDNC and ERFaer in E3SMv2: numerical experiment results from free-running present-day simulations Hui Wan https://doi.org/10.25584/2481237

CDNC and ERFaer in E3SMv2: numerical experiment results from nudged simulations under present-day and pre-industrial emission scenarios Kai Zhang and Hui Wan https://doi.org/10.5281/zenodo.14518205

Model code and software

Codes and scripts for an investigation of CDNC and ERFaer in E3SMv2 Hui Wan and Kai Zhang https://doi.org/10.5281/zenodo.14517254

Video supplement

An animation of Arctic clouds simulated by E3SMv2 Abhishek Yenpure, Hui Wan, and Berk Geveci https://doi.org/10.5281/zenodo.14523176

An animation of clouds over southeast China simulated by E3SMv2 Abhishek Yenpure, Hui Wan, and Berk Geveci https://doi.org/10.5281/zenodo.14523263

Hui Wan, Abhishek Yenpure, Berk Geveci, Richard C. Easter, Philip J. Rasch, Kai Zhang, and Xubin Zeng
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Latest update: 09 Jan 2025
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Short summary
In E3SMv2 and many other global climate models, the simulated anthropogenic aerosol influence on the Earth's energy balance is sensitive to the presence of clouds with very low droplet number concentrations. Numerical experiments conducted in this study suggest that mid- and high-latitude low-level stratus occurring under weak turbulence is an important cloud regime for understanding the causes of very low cloud droplet number concentrations in global climate simulations.