Advances in Studies of Air Quality and Health Informed with Satellite Remote Sensing

Randall Martin1, Aaron van Donkelaar2, Brian Boys1, Jeffrey Geddes3, Shailesh Kharol3, Colin J Lee3, Caroline R Nowlan4, Graydon Snider3, Crystal Lynn May Weagle5 and Junwei Xu3, (1)Dalhousie University, Department of Physics and Atmospheric Science, Halifax, NS, Canada, (2)Dalhousie University, Dept Physics & Atmospheric Science, Halifax, NS, Canada, (3)Dalhousie University, Halifax, NS, Canada, (4)Atomic and Molecular Physics Division, Center for Astrophysics | Harvard & Smithsonian, Cambridge, United States, (5)Washington University in St Louis, Energy, Environmental & Chemical Engineering, St. Louis, United States
Abstract:
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.
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