Abstract View
Interpretation of Satellite Remote Sensing Data for Application to Air Quality and Health
RANDALL MARTIN, Melanie Hammer, Aaron van Donkelaar, Erin McDuffie, Crystal Weagle, Brenna Walsh, Matthew Cooper, Washington University, St, Louis, MO
Abstract Number: 102
Working Group: Health-Related Aerosols
Abstract
Fine particulate matter (PM2.5) is a leading mortality risk factor. However, ground-level monitoring remains sparse in many regions of the world. Satellite remote sensing from multiple instruments and algorithms offers a global data source to address this issue. Chemical transport modeling (e.g. GEOS-Chem) plays a critical role in relating these satellite columnar aerosol optical depth observations at ambient relative humidity to ground-level PM2.5 mass concentrations at controlled relative humidity. The resultant satellite-based estimates of PM2.5 indicate dramatic variation around the world, with implications for global public health. A recent Surface Particulate Matter Network (SPARTAN) offers valuable measurements to evaluate and improve satellite-based PM2.5 estimates. Sensitivity simulations with the GEOS-Chem model provide information on the sources of ambient PM2.5 contributions that affect human health. Algorithmic advances applied to the TROPOMI instrument yield new insight into the air pollution mixture. This talk will highlight recent advances in combining satellite remote sensing, chemical transport modeling, and ground-based measurements of atmospheric aerosols to improve understanding of air quality and health.