A031-0016
Development of UI-WRF-Chem for MAIA-TEMPO Synergy: Early Results, Evaluation, and Next Steps
Tuesday, 8 December 2020
Poster
Nathan J Janechek1, Huanxin Zhang2, Cui Ge3, Lorena Castro Garcia1 and Jun Wang4, (1)University of Iowa, Chemical and Biochemical Engineering, Iowa City, IA, United States, (2)University of Iowa, Department of Chemical and Biochemical Engineering, Iowa City, IA, United States, (3)South Coast Air Quality Management District, Diamond Bar, CA, United States, (4)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:
The Multi-Angle Imager for Aerosols (MAIA) and Tropospheric Emissions: Monitoring Pollution (TEMPO) are next generation satellites with expected launch dates in 2022. The MAIA project is a global orbiting satellite that integrates ground-based observations and chemical transport modeling using statistical models to develop speciated surface particulate matter concentrations. While TEMPO is a geostationary satellite over North America that will measure air pollutants such as ozone, nitrogen dioxide, and aerosols at high spatial and temporal resolution (hourly). These two satellite missions offer exciting synergetic possibilities to study North American air quality. This presentation will focus on the development of the Unified Initial and boundary conditions for WRF-Chem (UI-WRF-Chem) model that provides the chemical transport model inputs for the MAIA mission and provides early adopter synthetic data for the TEMPO mission.
The UI-WRF-Chem model utilizes both meteorological and chemical data products from NASA GEOS 5 system (GEOS FP and MERRA-2) to drive WRF-Chem to perform real-time air quality forecasts or study air quality retrospectively. The inclusion of GEOS 5 aerosol products is a computationally efficient way to study the long-range transport of aerosol pollution. We have also developed a stand-alone emission preprocessor that ingests both global and regional anthropogenic emission inventories (e.g. EDGAR-HTAP, NEI, MEIC) as well as fire emissions (e.g. FLAMBE).
This presentation will demonstrate the UI-WRF-Chem system and show 4 km resolution simulations for three MAIA target regions: Delhi, India; Los Angeles, US; and Boston/New York City, US. For Delhi, inclusion of May 2018 wildfires in Northern India will be showcased and the smoke injection height will be studied. For Los Angeles and Boston/New York City, inter-comparison of regional differences in air pollutant composition will be assessed, evaluation to AQS, IMPROVE, CSN, and TROPOMI data, diurnal variation of emissions, and aerosol speciation will be analyzed.
