Global Aerosol Mixing States and Radiative Forcing Model Outputs

A 2026 study by YING ZHANG addresses uncertainty in aerosol climate effects by modeling two partial internal mixing states of black carbon. The dataset includes model outputs demonstrating the influence of non-BC species mass fraction on aerosol absorption. Results are intended to improve estimates of aerosol climate effects and understanding of climate change.

Use Cases

• Analyze the impact of partially coated black carbon (pCore) on aerosol absorption based on global model calculations.
• Assess the role of non-BC species coating on BC (pShell) in direct radiative forcing based on model outputs.
• Compare modeled aerosol absorption abilities under different internal mixing state assumptions.
• Validate climate model aerosol modules using insights from partial mixing state analysis.

Strengths

• Model outputs are available in both NC (NetCDF) and XLSX formats, offering flexibility for analysis.
• The dataset is licensed under CC-BY-4.0, permitting open sharing and adaptation.
• The study explicitly addresses a known gap in climate modeling by considering partial internal mixing states.

Limitations

• Row count and specific column definitions are unknown, requiring inspection after download.
• The dataset is small at 664.2 KB, indicating limited scope or highly processed model outputs.
• Geographic and temporal coverage of the underlying model run is not specified in the provided metadata.

Provenance

Source

YING ZHANG via figshare.

Collection Method

Outputs from a global climate model simulation.

Freshness

Last updated 2026-04-12 12:18:51.

Geography

Global