Based on the established scientific principles of air pollution meteorology, the following four recommendations provide a robust, data-driven framework for enhancing urban air quality management.

1. Invest in and Mandate the Use of Comprehensive City Models. These models are essential tools for developing cost-effective and targeted abatement strategies. By simulating the entire urban airshed, they allow regulators to determine the most economical way to reduce pollution and to conduct impact assessments for future industrial and residential zoning, preventing future problems before they arise.
2. Develop Local Wind Climatologies and Mesoscale Analyses. Pollutant transport is strongly influenced by local topography and surface characteristics that cannot be captured by distant airport weather stations. Investing in local wind studies and mesoscale analysis is critical for accurately predicting where pollutants will travel and for creating realistic dispersion models tailored to a specific urban environment.
3. Implement Meteorologically-Informed Air Pollution Alert Systems. Forecasting should be used to anticipate high-risk periods, particularly the formation of stagnant anticyclones with low ventilation factors. This allows for the implementation of emergency protocols, such as temporary restrictions on industrial operations or traffic, to prevent the accumulation of dangerous levels of pollution and protect public health.
4. Incorporate Meteorological Variables into Program Evaluation. Assessments of air quality regulations must control for changes in weather patterns to be accurate. Failing to do so risks misattributing improvements to policy that are actually the result of favorable weather, which could lead to a premature and dangerous relaxation of necessary environmental controls.