Huang et al. (2025) Evaluation of E3SM Simulated Aerosols and Aerosol‐Cloud Interactions Across GCM and Convection‐Permitting Scales

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Journal of Advances in Modeling Earth Systems
• Year: 2025
• Date: 2025-12-01
• Authors: Meng Huang, Po‐Lun Ma, Adam Varble, Jerome D. Fast, Taufiq Hassan, Jianfeng Li, Yi Qin, Shuaiqi Tang, Paul Ullrich, Yu Yao
• DOI: 10.1029/2025ms005288

Research Groups

Energy Exascale Earth System Model (E3SM) development team, likely involving US Department of Energy national laboratories and collaborating institutions.

Short Summary

This paper introduces an Earth system modeling testbed using E3SMv2 at convection-permitting scales (3.25 km) to predict aerosols and aerosol-cloud interactions (ACIs). While increased resolution improves some aspects like heavy precipitation and certain ACI relationships, it also amplifies biases in light drizzle and poorly represents aerosol composition, indicating that resolution alone is insufficient for broad improvements without concurrent advancements in physical and chemical process representations.

Objective

• To introduce and evaluate an Earth system modeling testbed for predicting aerosols and aerosol-cloud interactions (ACIs) at convection-permitting scales using the Energy Exascale Earth System Model (E3SM) version 2.

Study Configuration

• Spatial Scale: 3.25 km resolution on a regionally refined mesh (RRM) across four distinct regions, compared against a standard 100 km E3SM configuration.
• Temporal Scale: Not explicitly specified in the abstract.

Methodology and Data

• Models used: Energy Exascale Earth System Model (E3SM) version 2 with a four-mode Modal Aerosol Module.
• Data sources: Satellite, aircraft, and ground-based observations.

Main Results

• Increasing model resolution to 3.25 km improves heavy precipitation simulation.
• The higher resolution amplifies a positive bias in light drizzle that is present at coarse resolution.
• Cloud cover and liquid water path (LWP) show better agreement with satellite retrievals at 3.25 km resolution, though surface-based comparisons suggest otherwise.
• Aerosol composition remains poorly represented at both 3.25 km and 100 km resolutions.
• The regionally refined mesh (RRM) increases Aitken mode aerosol number concentrations due to enhanced new particle formation.
• Accumulation mode aerosols decrease at higher resolution as aerosol removal processes become more efficient.
• This leads to fewer cloud condensation nuclei (CCN) and lower cloud droplet number concentrations (Nd) in some scenarios, producing larger model biases.
• Solely increasing horizontal resolution to kilometer scales is insufficient to broadly improve aerosol and cloud predictions without concurrent advancements in physical and chemical process representations.
• The RRM moderately improves key ACI relationships, such as the CCN-Nd correlation, reflecting enhanced aerosol activation representation.
• The LWP-Nd relationship is also better captured by the RRM, suggesting a better characterization of LWP adjustment.

Contributions

• Introduction of a novel Earth system modeling testbed within E3SMv2 for high-resolution aerosol and ACI studies at convection-permitting scales.
• Comprehensive assessment of the impacts of increased horizontal resolution on aerosol, cloud, and ACI predictions across diverse regional regimes.
• Identification of specific improvements (e.g., heavy precipitation, certain ACI relationships) and persistent limitations (e.g., light drizzle bias, aerosol composition, CCN/Nd biases) associated with resolution enhancement alone.
• Highlighting the critical need for concurrent advancements in physical and chemical process representations alongside increased resolution for robust Earth system model improvements.

Funding

Not specified in the abstract.

Citation

@article{Huang2025Evaluation,
  author = {Huang, Meng and Ma, Po‐Lun and Varble, Adam and Fast, Jerome D. and Hassan, Taufiq and Li, Jianfeng and Qin, Yi and Tang, Shuaiqi and Ullrich, Paul and Yao, Yu},
  title = {Evaluation of E3SM Simulated Aerosols and Aerosol‐Cloud Interactions Across GCM and Convection‐Permitting Scales},
  journal = {Journal of Advances in Modeling Earth Systems},
  year = {2025},
  doi = {10.1029/2025ms005288},
  url = {https://doi.org/10.1029/2025ms005288}
}