Capabilities of the CMAQ Model FamilyĬMAQ allows users to explore different kinds of air pollution scenarios. For example, CMAQ is often used to test the impact of future emission regulations. The interaction of meteorology and air quality, e.g. (Right) Spatial map of CMAQ output of max-8hr ozone concentrations. with colors indicating the max-8hr ozone concentration. (Left) Spatial map of ozone monitoring sites in the U.S. CMAQ is designed to meet the needs of the scientific community and concerned community leaders by combining current knowledge in atmospheric science and air quality modeling, multi-processor computing techniques, and an open-source framework into a single modeling system. The purpose of CMAQ is to provide fast, technically sound estimates of ozone, particulates, toxics, and acid deposition. This is particularly useful when measurements only give insight into aggregate details, like total particulate mass. Because it includes information about the emissions and properties of compounds and classes of compounds, CMAQ can also inform users about the chemical composition of a mixture of pollutants. to predict the concentration of airborne gases and particles, and the deposition of these pollutants back to Earth’s surface. Numerical air quality models simulate the emissions, chemistry and physics of the atmosphere. The Community Multiscale Air Quality (CMAQ) model is a numerical air quality model that relies on scientific first principles first principlesThe fundamental concepts or assumptions on which a theory, system, or method is based. Measurements are one way of gathering this information, but a more complete picture in space and time is often needed. Air quality models can provide this information for the past, present or future depending on how they are used. It is important to characterize the exposure of people and ecosystems to pollutants.
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