Advances in Studies of Air Quality and Health Informed with Satellite Remote Sensing
Friday, 19 December 2014: 4:00 PM
Satellite remote sensing offers a powerful data source to inform global air quality. Global modeling plays a critical role in relating these observations of the atmospheric column to ground-level concentrations. Satellite-based estimates of ground-level fine-particulate matter (PM2.5) and NO2 indicate dramatic variation and trends around the world, with implications for global public health. Enhancements in ground-level NO2 and SO2 affect dry-deposition with implications for ecosystem health. A new ground-based aerosol network (SPARTAN) offers valuable measurements to understand the relationship between satellite observations of aerosol optical depth and ground-level PM2.5 concentrations. This talk will highlight recent advances and future opportunities in combining satellite remote sensing, global modeling, and ground-based measurements to improve understanding of global air quality.