Regional Chemical Modeling

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Research Highlight Climate and Air Quality: Forecast products provided in support of asset observations for Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ). Hundreds of scientists will explore the chemistry of trace gases and aerosols in smoke to uncover its secrets, improve weather and air quality models, and provide better forecasts to first responders, public health and land management officials. Learn More Photo: Dan Lack, NOAA / CIRES

Dr. Gregory J. Frost, Program Lead
Renee Lavery, Admin Support Assistant (303) 497-4165

NOAA Chemical Sciences Laboratory
325 Broadway R/CSL4
Boulder, CO 80305 USA


The Regional Chemical Modeling program undertakes research that improves our ability to forecast regional air quality in the lower troposphere, and increases our understanding of the free tropospheric ozone budget.

Model Studies

Our primary research tool is the WRF-Chem chemical transport model with which we develop and evaluate state-of-the-art capabilities to describe the emission, transport and chemical evolution of pollutants in the atmosphere. We evaluate the model's performance with comparison to measurements of ozone and particulate matter made during integrated field studies. Related topics include examination of the impact of pollutants on low level cloud formation, and the influence of coastal dynamics on pollution export from North America. Beyond the continental and marine boundary layer we combine hemispheric scale tracer transport studies, satellite observations, and both coordinated and opportunistic measurements to improve our understanding of the North American free tropospheric ozone budget.



Field Projects

Field Projects
Providing flight planning and meteorology in support of field missions.

Met Products

Meteorological Products
Forecasting regional air quality in the lower troposphere.

Tracer Forecasts

Tracer Forecasts
Using FLEXPART in combination with the GFS and WRF models.

Regional Model Evaluation

Model Evaluation
Verifying model results against field observation data.