AAAR 37th Annual Conference October 14 - October 18, 2019 Oregon Convention Center Portland, Oregon, USA
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Applications of the Multi-angle Imager for Aerosols (MAIA) for Air Quality and Health: Connecting Particle Mixtures to Human Health
ABIGAIL NASTAN, Sina Hasheminassab, Kristal Verhulst, David Diner, Feng Xu, Olga Kalashnikova, Michael Garay, Bart Ostro, Jet Propulsion Laboratory
Abstract Number: 368 Working Group: From Aerosol Dosimetry and Toxicology to Health
Abstract The NASA Multi-Angle Imager for Aerosols (MAIA) investigation seeks to extend our current understanding of the impact of the amount and composition of outdoor, airborne fine particulate matter on adverse health outcomes. The MAIA satellite instrument, in development at the Jet Propulsion Laboratory and planned for launch in mid-2022, will collect multiangular, multispectral, and polarimetric measurements over a set of globally distributed targets. Retrievals of aerosol properties will be combined with ground-based air quality monitor data and chemical transport modeling to produce 1-km gridded data products of daily-averaged PM10 and PM2.5 mass, and the fractional abundances of sulfate, nitrate, organic carbon, elemental carbon, and dust making up PM2.5 mixtures. These will be freely available, and the air quality and public health communities are invited to use them. The MAIA Science Team includes epidemiologists who will use these data products in studies aimed at associating health risk with specific particle types; researchers are encouraged to also consider related projects such as source apportionment.
Characteristics of the candidate target areas, the planned MAIA data products, and opportunities for collaboration with epidemiologists and other interested stakeholders will be discussed. MAIA’s Primary Target Areas (PTAs) comprise the main focus of the MAIA investigation, while Secondary Target Areas (STAs) include areas of interest for air quality, climate, and other applications. The target areas represent populous urban areas with available ground monitor data, situated geographically where they can be observed frequently from MAIA’s near-polar orbit, and without persistent cloud cover. In addition, the MAIA team has selected the candidate PTAs to represent a range of typical PM concentrations and compositions. Some PTA candidates were chosen to represent areas where health impacts are significant and a lack of significant ground-based monitoring has limited the number of studies conducted to date.