A029-02
MAIA: An Integrated Satellite, Surface Monitor, and Chemical Transport Model-Based System for Mapping Speciated Airborne Particulate Matter
Tuesday, 8 December 2020: 04:08
Virtual
David J Diner1, Kevin A Burke1, John C Pearson1, Stacey W Boland1, Carol J Bruegge1, Gerard van Harten1, Veljko M Jovanovic1, Earl Hansen1, Lori O. Bator1, Scott Gluck1, Kristal R Verhulst1, Sina Hasheminassab1,2, Randall Martin3, Yang Liu4, Feng Xu5, Jun Wang6 and The MAIA Science and Investigation Team, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (2)South Coast Air Quality Management District, Diamond Bar, CA, United States, (3)Washington University in St. Louis, Energy, Environmental & Chemical Engineering, St. Louis, MO, United States, (4)Emory University, Gangarosa Department of Environmental Health, Atlanta, GA, United States, (5)University of Oklahoma, School of Meteorology, Norman, OK, United States, (6)the University of Iowa, Department of Chemical and Biochemical Engineering, & Center of Global and Regional and Environmental Research, & Interdisciplinary Graduate Program in Informatics, the University of Iowa, Iowa City, IA, United States
Abstract:
Source attribution, pollution control, and health impact assessments require monitoring different types of airborne particulate matter (PM). NASA’s Multi-Angle Imager for Aerosols (MAIA) investigation adopts an integrated approach for mapping speciated PM concentrations at 1 km spatial resolution. The satellite instrument contains a 14-wavelength UV-SWIR pushbroom camera (3 bands are polarimetric). A two-axis gimbal will enable acquiring multiangle observations over a discrete, globally distributed set of target areas. Instrument fabrication, assembly, testing, calibration, and operations and science data system development are underway. Aerosol particle properties retrieved from the imagery will be transformed to near-surface total, sulfate, nitrate, organic carbon, elemental carbon, and dust PM by integrating the satellite data with surface monitor measurements and outputs from the WRF-Chem chemical transport model.
Launch of the MAIA instrument into sun-synchronous orbit is currently planned for mid- to late-2022. A dozen Primary Target Areas (PTAs) in North America, Europe, Africa, Middle East, and Asia are the main focus of the investigation. PTAs are 300 km x 400 km regions where the MAIA team will utilize existing surface monitors (and in some cases, deploy new speciated PM monitors) and conduct epidemiological studies to assess adverse health effects. Secondary and Calibration/Validation targets have also been identified. Priority is given to PTA observations, which will be acquired by the satellite instrument at a frequency of about 3.5 revisits per week. Satellite-based aerosol and PM data products will be generated on overpass days. WRF-Chem PM estimates corrected for biases using surface monitor data will be merged with the satellite results to generate a gap-filled daily product. We will summarize the development status of the MAIA instrument and operations system, science data system, and surface monitor network. MAIA will enable synergies with geostationary air quality missions such as TEMPO, GEMS, and Sentinel 4 and provide a pathfinder for global missions such as ACCP.
