Yamasaki et al. (2025) SCALE-RM model output used in manuscript 2025JD045671 for JGR Atmospheres

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

Identification

• Journal: Open MIND
• Year: 2025
• Date: 2025-10-18
• Authors: Kohei Yamasaki, Kentaroh Suzuki
• DOI: 10.5281/zenodo.17367935

Research Groups

Not explicitly mentioned in the provided text.

Short Summary

This paper presents a dataset and visualization scripts derived from the Regional Model from Scalable Computing for Advanced Library and Environment (SCALE-RM), designed for analyzing various cloud microphysical processes, radiative properties, and precipitation characteristics, including their sensitivity to model resolution and microphysical parameters.

Objective

• To provide and analyze a comprehensive dataset generated by the SCALE-RM regional model, focusing on cloud microphysical processes, radiative properties, and precipitation, and to explore their sensitivity to factors such as model resolution and ice nucleating particle concentrations.

Study Configuration

• Spatial Scale: Regional model domain, with analyses of vertical profiles and domain-mean quantities. Vertical resolution of 20 meters is mentioned for specific simulations.
• Temporal Scale: Time series of various cloud and precipitation properties, as well as instantaneous snapshots.

Methodology and Data

• Models used: Regional Model from Scalable Computing for Advanced Library and Environment (SCALE-RM).
• Data sources: Processed output files from the SCALE-RM model in npz format, accompanied by Python scripts for visualization and analysis. Potential comparison with observational data for cloud water and ice content (implied by obs_lwc_iwc.py).

Main Results

The paper, utilizing this dataset, likely presents quantitative analyses of cloud properties such as liquid and ice albedo, liquid and ice water content, and surface precipitation rates (rain and snow). It probably demonstrates the vertical distribution of microphysical tendencies contributing to cloud ice and liquid water content, and the effective radius of cloud droplets. Furthermore, the study likely investigates the sensitivity of these cloud characteristics to varying horizontal and vertical model resolutions and different concentrations of ice nucleating particles.

Contributions

This article contributes a valuable dataset and associated visualization scripts derived from the SCALE-RM regional model, which are crucial for detailed investigations into cloud microphysical processes, radiative properties, and precipitation. The dataset specifically enables the study of how these cloud characteristics respond to changes in model resolution and microphysical parameterizations, offering insights into model development and atmospheric process understanding.

Funding

Not explicitly mentioned in the provided text.

Citation

@article{Yamasaki2025SCALERM,
  author = {Yamasaki, Kohei and Suzuki, Kentaroh},
  title = {SCALE-RM model output used in manuscript 2025JD045671 for JGR Atmospheres},
  journal = {Open MIND},
  year = {2025},
  doi = {10.5281/zenodo.17367935},
  url = {https://doi.org/10.5281/zenodo.17367935}
}