Past Program Topics

MAC-MAQ Program Topics over the years

The MAC-MAQ Conference has produced a variety of program topics since it's inception in 2015. While the research has improved and new knowledge has been garnered, the overall purpose for this conference has been steady. Take a look at the topics from past year's and let us know if there are other topics to consider!

2023 Conference Topics

  • Meteorology-Chemistry Coupling, Feedbacks, and Interactions
  • Breakthrough Innovations in Atmospheric & Air Quality Modeling
  • M3: Merging Measurements & Models
  • Composition and Operational Forecasting from Daily to Seasonal Scales
  • Modeling of Processes Across Multiple Scales
  • Unique/Extreme Events and their Impacts on Meteorology and Air Quality

Review more program details here

2021 Conference Topics

  • Climate change, air pollution, and public health: Past, present, and future
  • Turbulence Resolved and Fine Scale Processes
  • Unique/Extreme Events and their Impacts on Meteorology and Air Quality
  • Modeling of Processes Across Global to Regional and Local Scales
  • Merging Models with Observations
  • Complex Terrain and Coastal Zone Meteorology
  • Met-Chemistry Interactions: Aerosol Direct & Indirect Feedbacks and Aerosol-Cloud Interactions, Aerosol Chemistry, Radiative Impacts of Gases
  • Composition and Operational Forecasting from Daily to Seasonal Scales
  • Machine Learning Applications for Air Quality Research

2019 Conference topics

  • Connecting Ozone Exceedances in Houston TX to Variability in Emissions and Meteorology: Implications for Federal Attainment 
  • Modeling of Processes Across Global to Regional and Local Scales
  • Composition and Operational Forecasting from Daily to Seasonal Scales
  • BL Parameterizations
  • Complex Terrain and Coastal Zone Meteorology
  • LES, CFD, and Urban Canopy Modeling
  • Convection
  • Aerosol Direct & Indirect Feedbacks and Aerosol Aware Microphysics
  • Model Evaluation Using Meteorological and Chemical Observations
  • Data Assimilation & Inverse Modeling
  • New and Innovative Modeling Techniques: Machine Learning, New Computation Methods/GPUs, Exposure Estimate Improvement, Data Simulation