Preprints
https://doi.org/10.5194/egusphere-2025-4740
https://doi.org/10.5194/egusphere-2025-4740
09 Oct 2025
 | 09 Oct 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

A modified parameterization of stratiform cloud microphysics for the Community Earth System Model

Chandra Shekhar Pant, Deepak Waman, Sachin Patade, Akash Deshmukh, and Vaughan Phillips

Abstract. Large-scale stratiform clouds are widespread and dominate the Earth's radiation budget. Their radiative and microphysical properties are inseparable, depending on ambient aerosol conditions and on properties of any convective outflow. In the Community Atmospheric Model, version 6 (CAM6), large-scale clouds were originally treated two decades ago with a two-moment bulk microphysics approach. Since then, the technological and empirical basis of global models has improved, for example by representing cloud microphysics to encompass extra processes of ice and droplet initiation, including dependencies on aerosol conditions of size, composition, and loading.

To advance the microphysical realism of the large-scale cloud scheme of the global model CAM6, most of the known mechanisms of secondary ice production (SIP) and an empirical formulation for heterogeneous ice nucleation have been represented in the stratiform scheme of the Global model CAM6. We included a hybrid bin/bulk scheme that treats aerosol activation, growth processes of accretion, aggregation, and riming, and three SIP mechanisms in the stratiform cloud scheme. We simulated an observed case of a mesoscale convective system during the Mid-latitude Continental Convective Clouds Experiment (MC3E) in Oklahoma, USA, using the Single-Column Atmosphere Model (SCAM6). The results from the simulations are validated against the aircraft, satellite, and ground measurements.

Results show that the modified stratiform scheme can predict the cloud properties of the observed stratiform clouds realistically. Together with our improved convective scheme in CAM6, this paves the way for more realism in the treatment of aerosol cloud interaction in global climate change by conventional climate Models.

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Chandra Shekhar Pant, Deepak Waman, Sachin Patade, Akash Deshmukh, and Vaughan Phillips

Status: open (until 20 Nov 2025)

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Chandra Shekhar Pant, Deepak Waman, Sachin Patade, Akash Deshmukh, and Vaughan Phillips
Chandra Shekhar Pant, Deepak Waman, Sachin Patade, Akash Deshmukh, and Vaughan Phillips
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Short summary
Large-scale stratiform clouds play a decisive role in the Earth's radiation budget and precipitation patterns, yet global models historically exhibit major biases in their simulations. Our study addresses these gaps by implementing physically-based representations of secondary ice production pathways and advanced aerosol activation schemes, including bin-bulk microphysics. These improvements enable the robust simulation of both cloud droplet and ice formation.
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