Conference Overview
The Meteorology and Climate - Modeling for Air Quality Conference is a biennial event hosted by the University of California, Davis. The three day conference brings together research scientists, experts, and professionals from around the world to discuss a wide range of topics related to meteorology for air quality applications. The primary focus is on understanding and improving meteorological modeling, understanding what is "under the hood" in the models, how experimental data can be used to improve them, and the importance of meteorology in air quality modeling applications.
2023 Event Information
Conference Dates:
September 13-15, 2023
Location & Format
This will be a hybrid event with the opportunity to attend in-person at the UC Davis Conference Center, or virtually.
Conference Audience
The conference is open to all individuals who are interested in meteorology and how it relates to air quality. The attendees range from government agencies and officials, academics, community groups, industry representatives, delegates, consultants, and more.
Hosted By
UC Davis Air Quality Research Center
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Contact the Conference Coordinator: Sandra Hemingway at sehemi@ucdavis.edu or AQRC Event Staff at airqualityevents@ucdavis.edu.
Previous Program Topics
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!
2021 Session 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 Session Topics
- Modeling of Processes Across Global and Regional Scales
- LES, CFD, and Urban Canopy Modeling
- Model Evaluation Using Meteorological and Chemical Observations
- Data Assimilation & Inverse Modeling
- Complex Terrain and Coastal Zone Meteorology
- Convection
- BL Parameterizations
- Aerosol Direct & Indirect Feedbacks and Aerosol Aware Microphysics
- New and Innovative Modeling Techniques: Machine Learning, New Computation Methods/GPUs, Exposure Estimate Improvement, Data Simulation
- Composition and Operational Forecasting from Daily to Seasonal Scales
Review 2019 Podium Presentations