Aerosol Activation Scheme Evaluation Data from Aircraft Campaigns

Cloud data from 31 stratus and stratocumulus cases sampled during multiple aircraft campaigns in Canada, Chile, Brazil, and China. The data was used to evaluate a Quasi-steady state approximation of the cloud Droplet Growth Equation (QDGE) scheme. The research was authored by Hengqi Wang from Tsinghua University.

Use Cases

• Validating aerosol activation schemes based on observed environmental thermodynamic variables and aerosol information.
• Analyzing the relationship between simulated cloud droplet number concentration (CDNC) error and input variables like aerosol pollution level.
• Studying cloud microphysics across different meteorological conditions and aerosol regimes based on data from continental and marine regions.
• Calculating statistical metrics like Maximum Information Coefficient (MIC) to assess model performance sensitivity.

Strengths

• Evaluation spans 31 distinct cloud cases across four countries, providing geographic diversity.
• The QDGE scheme achieved a mean relative error (MRE) range from 17.30% to 25.90% across campaigns.
• Error analysis identifies key drivers of model error, such as aerosol pollution level in marine regions and aerosol hygroscopicity in continental regions.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred from the research paper.
• Last update date is unknown; freshness unverified.

Provenance

Source

Multiple aircraft campaigns in Canada, Chile, Brazil, and China.

Collection Method

Observed environmental thermodynamic variables and aerosol information sampled from stratus and stratocumulus clouds.

Geography

Canada, Chile, Brazil, China