Air Quality Modeling
CSER advances our understanding of atmospheric composition by developing and applying cutting‑edge air quality models. Our team integrates information from satellites, ground‑based sensors and datasets, and aircraft measurements to evaluate how pollutants move and change in the atmosphere. This work improves the accuracy of air quality forecasts and supports scientific assessments of how air pollution affects human health, ecosystems, and climate.
Projects & Products
- NOAA and Cooperative Institute for Satellite Earth System Studies (CISESS). “National Air Quality Forecasting Capability (NAQFC)”: POC Patrick Campbell and Youhua Tang
- NOAA’s IIJA Wildfire research portfolio and Cooperative Institute for Satellite Earth System Studies (CISESS). “Air Composition: Combine fire weather modeling with smoke emissions to improve air quality forecasting.” POC Patrick Campbell
- Korea National Institute of Environmental Research (NIER) “Rapid refreshed emissions development for Korea national air quality forecasting system (KNAQFS)” POC B.H. Baek
- Texas Coalition with TCEQ “Improving the temporal variability of VOC Emissions from the Houston Ship Channel using a Machine-Learning Inverse Model with VOC Observations” POC B.H. Baek
- NOAA Atmospheric Chemistry, Carbon Cycle and Climate (AC4) “Developing an enhanced bottom-up and top-down emissions inventories over the U.S. during the pandemic outbreaks by satellite data and chemical transport model” POC B.H. Baek
- NASA Atmospheric Composition Modeling and Analysis Program (ACMAP) “Developing an enhanced bottom-up and top-down emissions inventories over the U.S. during the pandemic outbreaks by satellite data and chemical transport model” POC B.H. Baek
- Health Effects Institute (HEI) “Long-term criteria and toxic pollutants trends in air quality and community exposures over the Marcellus Shale region in the U.S” POC B.H. Baek