This class will provide engineers and scientists an understanding of the principles of air quality and climate modeling and practical experience coding, configuring and running models to provide insight into a variety of air quality scenarios. Air pollutant physical and chemical properties, coupled with an understanding of atmospheric motion, will provide a basis to understand model fundamentals. An air quality modeling framework will be utilized that consists of meteorological, emissions, and air quality models such as dispersion and photochemical models, types of each which will be investigated. Lagrangian and Eulerian frameworks will form the bases of regional and global scale modeling applications. Additional air quality models such as receptor models and systems dynamics models will be introduced and their application presented in context. Students will build simple models from first principles as well as learn how to run a complex dispersion model and apply it to a real-world timely and relevant air quality issue. An emphasis will be placed on using air quality models as tools in air resources management decision making.