Aerosol indirect effect on the grid-scale clouds in the two-way coupled WRF–CMAQ: model description, development, evaluation and regional analysis [PDF]
Atmospheric Chemistry and Physics, 2014 This study implemented first, second and glaciation aerosol indirect effects (AIE) on resolved clouds in the two-way coupled Weather Research and Forecasting Community Multiscale Air Quality (WRF–CMAQ) modeling system by including parameterizations for ...
S. Yu +7 more
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A comparative study of two-way and offline coupled WRF v3.4 and CMAQ v5.0.2 over the contiguous US: performance evaluation and impacts of chemistry–meteorology feedbacks on air quality [PDF]
Geoscientific Model Development, 2021 The two-way coupled Weather Research and Forecasting and Community Multiscale Air Quality (WRF-CMAQ) model has been developed to more realistically represent the atmosphere by accounting for complex chemistry–meteorology feedbacks.
K. Wang +7 more
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Atmosphere, 2019 High levels of atmospheric concentration of PM2.5 (particulate matters less than 2.5 μm in size) are one of the most urgent societal issues over the East Asian countries.
Min-Woo Choi +4 more
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Development and evaluation of the Screening Trajectory Ozone Prediction System (STOPS, version 1.0) [PDF]
Geoscientific Model Development, 2015 A hybrid Lagrangian–Eulerian based modeling tool has been developed using the Eulerian framework of the Community Multiscale Air Quality (CMAQ) model. It is a moving nest that utilizes saved original CMAQ simulation results to provide boundary conditions,
B. H. Czader +4 more
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Development of the MPAS-CMAQ coupled system (V1.0) for multiscale global air quality modeling [PDF]
Geoscientific Model DevelopmentThe Community Multiscale Air Quality (CMAQ) model has been used for regulatory purposes at the U.S. EPA and in the research community for decades. In 2012, we released the Weather Research and Forecasting (WRF)-CMAQ coupled model that enables aerosol ...
D. C. Wong +12 more
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The first application of a numerically exact, higher-order sensitivity analysis approach for atmospheric modelling: implementation of the hyperdual-step method in the Community Multiscale Air Quality Model (CMAQ) version 5.3.2 [PDF]
Geoscientific Model DevelopmentSensitivity analysis in chemical transport models quantifies the response of output variables to changes in input parameters. This information is valuable for researchers engaged in data assimilation and model development.
J. Liu, E. Chen, S. L. Capps
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The Meteorology-Chemistry Interface Processor (MCIP) for the CMAQ modeling system: updates through MCIPv3.4.1 [PDF]
Geoscientific Model Development, 2010 The Community Multiscale Air Quality (CMAQ) modeling system, a state-of-the-science regional air quality modeling system developed by the US Environmental Protection Agency, is being used for a variety of environmental modeling problems including ...
T. L. Otte, J. E. Pleim
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Aerosol Optical Properties over China from RAMS-CMAQ Model Compared with CALIOP Observations
Atmosphere, 2017 The horizontal and vertical distributions of aerosol optical properties over China in 2013–2015 were investigated using RAMS (Regional Atmospheric Modeling System)-CMAQ (Models-3 Community Multiscale Air Quality) simulations and CALIOP (Cloud-Aerosol ...
Tong Wu +8 more
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Model development of dust emission and heterogeneous chemistry within the Community Multiscale Air Quality modeling system and its application over East Asia [PDF]
Atmospheric Chemistry and Physics, 2016 The Community Multiscale Air Quality (CMAQ) model has been further developed in terms of simulating natural wind-blown dust in this study, with a series of modifications aimed at improving the model's capability to predict the emission, transport, and
X. Dong +7 more
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Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1 [PDF]
Geoscientific Model Development, 2017 The Community Multiscale Air Quality (CMAQ) model is a comprehensive multipollutant air quality modeling system developed and maintained by the US Environmental Protection Agency's (EPA) Office of Research and Development (ORD).
K. W. Appel +22 more
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