AAAR 36th Annual Conference October 16 - October 20, 2017 Raleigh Convention Center Raleigh, North Carolina, USA
Abstract View
Improving the Global Representation of Fine Particulate Matter (PM2.5) by Combining Satellites, Models and Monitors
AARON VAN DONKELAAR, Randall V. Martin, Michael Brauer, N. Christina Hsu, Ralph Kahn, Robyn Latimer, Robert Levy, Alexei Lyapustin, Andrew Sayer, Graydon Snider, Crystal Weagle, David Winker, Dalhousie University
Abstract Number: 86 Working Group: Regional and Global Air Quality and Climate Modeling
Abstract Fine particulate matter (PM2.5) is believed to be the leading environmentally-related risk factor for premature mortality worldwide. Aerosol optical depth (AOD) is available from multiple satellite remote sensing platforms (e.g. MODIS, MISR, SeaWiFS) and algorithms (e.g. Dark Target, Deep Blue, MAIAC). Chemical transport models allow these retrievals of aerosol total column to be related to near-surface PM2.5 concentrations. The global availability and quality of all these data sources vary with region. Brought together, and combined with ground-based measurements, these data sources provide an unparalleled view of the global distribution and magnitude of PM2.5. Additionally, a new ground-based aerosol network (SPARTAN) allows direct evaluation and improvement of satellite-based PM2.5 estimates by collocating PM2.5 and AOD measurements at urban regions around the world. This presentation will highlight recent advances in combining satellite remote sensing, global modeling, and ground-based measurements of atmospheric aerosols to improve understanding of global population exposure to PM2.5.