Daniel Tong, Associate Professor, Atmospheric, Oceanic and Earth Sciences, College of Science (COS), and his collaborators are developing a comprehensive model-ready emission dataset to support the Compliance Assurance Monitoring-Community Multiscale Air Quality Modeling System (CAM-CMAQ) wildfire forecasting system of the National Oceanic and Atmospheric Administration (NOAA).
The researchers will also incorporate and test the CMAQ aerosol attenuation of photolysis, in particular for smoke plumes. Photolysis is the separation of molecules by light.
The researchers hold that this work will result in more accurate forecasting of wildfire impacts, which will help both NOAA stakeholders and members of the public to mitigate adverse fire effects.
Tong received $220,392 from NOAA for this work. Funding began in July 2020 and will end in late June 2023.
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