CESM-CAM5 Climate Model Data for Fire Aerosol Radiative Effects Study

15 climate model simulations from a 2016 study on radiative effects of fire aerosol emissions. The data includes emissions and output variables like top-of-atmosphere flux, cloud forcing, and precipitation rates, generated using the CESM-CAM5 model. The dataset is associated with the paper by Grandey, Lee, and Wang published in Atmospheric Chemistry and Physics.

Use Cases

• Calculate radiative forcing differences based on variables like cFNTOA and cDRE mentioned in the description.
• Analyze cloud-aerosol interactions using clean-sky cloud forcing variables (SWCF_d1, LWCF_d1).
• Study precipitation patterns influenced by fire emissions using precipitation rate variables (PRECL, PRECC, cPRECT).
• Model surface organic carbon concentration from fires using the pom_a1_SRF variable.
• Compare interannually varying vs. invariant fire emissions using the ensemble of 15 simulations.

Strengths

• Includes 15 distinct climate model simulations forming an ensemble for analysis.
• Output files contain metadata in NetCDF format to aid data interpretation.
• Data is directly linked to a peer-reviewed publication (Grandey et al., 2016) providing scientific context.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count and file size specifics are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred from the paper or file metadata.

Provenance

Source

Benjamin S. Grandey, associated with the study published in Atmospheric Chemistry and Physics.

Collection Method

Output from prescribed-SST simulations using the CESM-CAM5 climate model.