PM2.5 Health Risk Sensitivities and Exposure in Europe, 2005-2015

Sensitivities of PM2.5-related premature deaths in Europe to six key anthropogenic emissions were calculated for 2015. The data includes simulated annual mean PM2.5 exposure and related premature deaths from a base simulation and a sensitivity experiment. All data were generated by Yixuan Gu at the University of Colorado Boulder using the GEOS-Chem model and its adjoint.

Use Cases

• Prioritizing emission reduction strategies based on calculated sensitivities of health risks to SO2, NOx, NH3, OC, BC, and SOAP.
• Assessing the potential health benefits of emission control scenarios using the simulated PM2.5 exposure and premature death data.
• Validating atmospheric chemistry models by comparing simulated PM2.5 exposure outputs with other datasets.

Strengths

• Data was generated using the established GEOS-Chem atmospheric chemistry model and its adjoint.
• Includes results from a defined sensitivity experiment where all boundary condition inputs were reduced by 20% (BC20).
• Focuses on six specific anthropogenic emission sources (SO2, NOx, NH3, OC, BC, SOAP) for health risk attribution.

Limitations

• Row count and file size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description does not specify the spatial resolution of the geospatial data.

Provenance

Source

University of Colorado Boulder

Collection Method

Generated by the GEOS-Chem model and its adjoint.

Time Range

2005-2015, with specific calculations for 2015.

Geography

Europe