Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System
2006/03/01 by Daewon Byun, Daewon W. Byun, Kenneth L. Schere · 46 citations
Earth and Planetary Sciences · Environmental Science · #Atmospheric chemistry and aerosols #Atmospheric and Environmental Gas Dynamics #Air Quality and Health Impacts
paper · doi:10.1115/1.2128636
Abstract
Abstract This article describes the governing equations, computational algorithms, and other components entering into the Community Multiscale Air Quality (CMAQ) modeling system. This system has been designed to approach air quality as a whole by including state-of-the-science capabilities for modeling multiple air quality issues, including tropospheric ozone, fine particles, acid deposition, and visibility degradation. CMAQ was also designed to have multiscale capabilities so that separate models were not needed for urban and regional scale air quality modeling. By making CMAQ a modeling system that addresses multiple pollutants and different spatial scales, it has a “one-atmosphere” perspective that combines the efforts of the scientific community. To implement multiscale capabilities in CMAQ, several issues (such as scalable atmospheric dynamics and generalized coordinates), which depend on the desired model resolution, are addressed. A set of governing equations for compressible nonhydrostatic atmospheres is available to better resolve atmospheric dynamics at smaller scales. Because CMAQ is designed to handle scale-dependent meteorological formulations and a large amount of flexibility, its governing equations are expressed in a generalized coordinate system. This approach ensures consistency between CMAQ and the meteorological modeling system. The generalized coordinate system determines the necessary grid and coordinate transformations, and it can accommodate various vertical coordinates and map projections. The CMAQ modeling system simulates various chemical and physical processes that are thought to be important for understanding atmospheric trace gas transformations and distributions. The modeling system contains three types of modeling components (Models-3): a meteorological modeling system for the description of atmospheric states and motions, emission models for man-made and natural emissions that are injected into the atmosphere, and a chemistry-transport modeling system for simulation of the chemical transformation and fate. The chemical transport model includes the following process modules: horizontal advection, vertical advection, mass conservation adjustments for advection processes, horizontal diffusion, vertical diffusion, gas-phase chemical reactions and solvers, photolytic rate computation, aqueous-phase reactions and cloud mixing, aerosol dynamics, size distributions and chemistry, plume chemistry effects, and gas and aerosol deposition velocity estimation. This paper describes the Models-3 CMAQ system, its governing equations, important science algorithms, and a few application examples. This review article cites 114 references.
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- Air pollution and health impacts of oil & gas production in the United States
- The influence of location, source, and emission type in estimates of the human health benefits of reducing a ton of air pollution. [europepmc]
- A hybrid model for spatially and temporally resolved ozone exposures in the continental United States. [europepmc]
- Estimating State-Specific Contributions to PM2.5- and O3-Related Health Burden from Residential Combustion and Electricity Generating Unit Emissions in the United States. [europepmc]
- Unexpected increase in the oxidation capacity of the urban atmosphere of Madrid, Spain. [europepmc]
- Recent increase of surface particulate matter concentrations in the Seoul Metropolitan Area, Korea. [europepmc]
- Estimated Changes in Life Expectancy and Adult Mortality Resulting from Declining PM2.5 Exposures in the Contiguous United States: 1980-2010. [europepmc]
- Air-quality-related health impacts from climate change and from adaptation of cooling demand for buildings in the eastern United States: An interdisciplinary modeling study. [europepmc]
- The estimated change in the level and distribution of PM 2.5 -attributable health impacts in the United States: 2005-2014. [europepmc]
- Scientific assessment of background ozone over the U.S.: Implications for air quality management. [europepmc]
- Comprehensive atmospheric modeling of reactive cyclic siloxanes and their oxidation products. [europepmc]
- A Measurement-Model Fusion Approach for Improved Wet Deposition Maps and Trends. [europepmc]
- The Impacts of Prescribed Fire on PM 2.5 Air Quality and Human Health: Application to Asthma-Related Emergency Room Visits in Georgia, USA. [europepmc]
- Satellite-Based Daily PM 2.5 Estimates During Fire Seasons in Colorado. [europepmc]
- Characterizing population exposure to coal emissions sources in the United States using the HyADS model. [europepmc]
- Wildfire and prescribed burning impacts on air quality in the United States. [europepmc]
- High-resolution spatiotemporal measurement of air and environmental noise pollution in Sub-Saharan African cities: Pathways to Equitable Health Cities Study protocol for Accra, Ghana. [europepmc]
- NO x Emission Changes Over China During the COVID-19 Epidemic Inferred From Surface NO 2 Observations. [europepmc]
- A multiphase CMAQ version 5.0 adjoint. [europepmc]
- Ozone source apportionment during peak summer events over southwestern Europe. [europepmc]
- New Bidirectional Ammonia Flux Model in an Air Quality Model Coupled With an Agricultural Model. [europepmc]
- A novel CMAQ-CNN hybrid model to forecast hourly surface-ozone concentrations 14 days in advance. [europepmc]
- The impact of emission and climate change on ozone in the United States under representative concentration pathways (RCPs). [europepmc]
- Consumption in the G20 nations causes particulate air pollution resulting in two million premature deaths annually. [europepmc]
- PM2.5 forecasting for an urban area based on deep learning and decomposition method. [europepmc]
- Geographic sources of ozone air pollution and mortality burden in Europe. [europepmc]
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