Results 1 to 10 of about 14,049 (292)

Development of the MPAS-CMAQ coupled system (V1.0) for multiscale global air quality modeling [PDF]

Geoscientific Model Development
The 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, D. C. Wong, J. Willison, J. E. Pleim, G. Sarwar, J. Beidler, R. Bullock, J. A. Herwehe, R. Gilliam, D. Kang, C. Hogrefe, G. Pouliot, H. Foroutan   +12 more
doaj   +3 more sources

Computationally efficient air quality forecasting tool: implementation of STOPS v1.5 model into CMAQ v5.0.2 for a prediction of Asian dust [PDF]

Geoscientific Model Development, 2016
This study suggests a new modeling framework using a hybrid Eulerian–Lagrangian-based modeling tool (the Screening Trajectory Ozone Prediction System, STOPS) for a prediction of an Asian dust event in Korea.
W. Jeon, Y. Choi, P. Percell, A. H. Souri, C.-K. Song, S.-T. Kim, J. Kim   +6 more
doaj   +6 more sources

Enabling high-performance cloud computing for the Community Multiscale Air Quality Model (CMAQ) version 5.3.3: performance evaluation and benefits for the user community [PDF]

Geoscientific Model Development
The Community Multiscale Air Quality Model (CMAQ) is a local- to hemispheric-scale numerical air quality modeling system developed by the U.S. Environmental Protection Agency (USEPA) and supported by the Community Modeling and Analysis System (CMAS ...
C. I. Efstathiou, C. I. Efstathiou, E. Adams, C. J. Coats, R. Zelt, M. Reed, J. McGee, K. M. Foley, F. I. Sidi, D. C. Wong, S. Fine, S. Fine, S. Arunachalam   +12 more
doaj   +3 more sources

Evaluation of the NAQFC driven by the NOAA Global Forecast System (version 16): comparison with the WRF-CMAQ during the summer 2019 FIREX-AQ campaign [PDF]

Geoscientific Model Development, 2022
The latest operational National Air Quality Forecast Capability (NAQFC) has been advanced to use the Community Multiscale Air Quality (CMAQ) model (version 5.3.1) with the CB6r3 (Carbon Bond 6 revision 3) AERO7 (version 7 of the aerosol module) chemical ...
Y. Tang, Y. Tang, P. C. Campbell, P. C. Campbell, P. Lee, R. Saylor, F. Yang, B. Baker, D. Tong, D. Tong, A. Stein, J. Huang, J. Huang, H.-C. Huang, H.-C. Huang, L. Pan, L. Pan, J. McQueen, I. Stajner, J. Tirado-Delgado, J. Tirado-Delgado, Y. Jung, M. Yang, I. Bourgeois, I. Bourgeois, J. Peischl, J. Peischl, T. Ryerson, D. Blake, J. Schwarz, J.-L. Jimenez, J. Crawford, G. Diskin, R. Moore, J. Hair, G. Huey, A. Rollins, J. Dibb, X. Zhang   +38 more
doaj   +2 more sources

Comparative evaluation of the impact of WRF/NMM and WRF/ARW meteorology on CMAQ simulations for PM_2.5 and its related precursors during the 2006 TexAQS/GoMACCS study [PDF]

Atmospheric Chemistry and Physics, 2012
This study presents a comparative evaluation of the impact of WRF-NMM and WRF-ARW meteorology on CMAQ simulations of PM2.5, its composition and related precursors over the eastern United States with the intensive observations obtained by aircraft (NOAA ...
S. T. Rao, R. Gilliam, K. Schere, B. Eder, D. Wong, G. Pouliot, J. Pleim, R. Mathur, S. Yu   +8 more
doaj   +4 more sources

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, R. Mathur, J. Pleim, D. Wong, R. Gilliam, K. Alapaty, C. Zhao, X. Liu   +7 more
doaj   +3 more sources

Conditional UNet emulation of CMAQ simulations for fine particulate matter concentration prediction [PDF]

Scientific Reports
Fine particulate matter (PM2.5) pollution poses significant health risks, necessitating accurate predictions for effective management measures for the mitigator of PM2.5.
Yohan Lee, Junghyun Park, Jinseok Kim, Jung-Hun Woo, Jong-Hyeon Lee   +4 more
doaj   +2 more sources

Incremental testing of the Community Multiscale Air Quality (CMAQ) modeling system version 4.7 [PDF]

, 2010
This paper describes the scientific and structural updates to the latest release of the Community Multiscale Air Quality (CMAQ) modeling system version 4.7 (v4.7) and points the reader to additional resources for further details.
A. B. Gilliland, C. G. Nolte, G. Sarwar, J. E. Pleim, J. O. Bash, J. O. Young, J. T. Kelly, K. M. Foley, K. W. Appel, P. V. Bhave, R. C. Gilliam, R. Mathur, S. J. Roselle, T. L. Otte   +13 more
core   +3 more sources

An investigation into seasonal and regional aerosol characteristics in East Asia using model-predicted and remotely-sensed aerosol properties [PDF]

Atmospheric Chemistry and Physics, 2008
In this study, the spatio-temporal and seasonal distributions of EOS/Terra Moderate Resolution Imaging Spectroradiometer (MODIS)-derived aerosol optical depth (AOD) over East Asia were analyzed in conjunction with US EPA Models-3/CMAQ v4.3 modeling.
C. H. Song, M. E. Park, K. H. Lee, H. J. Ahn, Y. Lee, J. Y. Kim, K. M. Han, J. Kim, Y. S. Ghim, Y. J. Kim   +9 more
doaj   +3 more sources

Application of HHO-CNN-LSTM-based CMAQ correction model in air quality forecasting in Shanghai

能源环境保护, 2023
With rising levels of air-pollution, air-quality forecasting has become integral to the dissemination of human health advisories and the preparation of mitigation strategies.
ZHENG Xinnan, LIN Kaiyan, WANG Zijing, SONG Yuanbo, SHI Yang, LU Hanyue, ZHANG Yalei, SHEN Zheng*   +7 more
doaj   +1 more source