Articles | Volume 15, issue 21
https://doi.org/10.5194/acp-15-12193-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-12193-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Assessment of long-term WRF–CMAQ simulations for understanding direct aerosol effects on radiation "brightening" in the United States
C.-M. Gan
CORRESPONDING AUTHOR
Atmospheric Modeling and Analysis Division, National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, North Carolina, USA
J. Pleim
Atmospheric Modeling and Analysis Division, National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, North Carolina, USA
R. Mathur
Atmospheric Modeling and Analysis Division, National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, North Carolina, USA
C. Hogrefe
Atmospheric Modeling and Analysis Division, National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, North Carolina, USA
C. N. Long
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder and NOAA, Boulder, Colorado, USA
J. Xing
Atmospheric Modeling and Analysis Division, National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, North Carolina, USA
D. Wong
Atmospheric Modeling and Analysis Division, National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, North Carolina, USA
R. Gilliam
Atmospheric Modeling and Analysis Division, National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, North Carolina, USA
C. Wei
Max Planck Institute for Chemistry, Mainz, Germany
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32 citations as recorded by crossref.
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- Four Decades of United States Mobile Source Pollutants: Spatial–Temporal Trends Assessed by Ground-Based Monitors, Air Quality Models, and Satellites L. Henneman et al. 10.1021/acs.est.0c07128
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- Aircraft landing and takeoff emission impacts on surface O3 and PM2.5 through aerosol direct feedback effects estimated by the coupled WRF-CMAQ model C. Moniruzzaman et al. 10.1016/j.atmosenv.2020.117859
- Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States M. Astitha et al. 10.1016/j.atmosenv.2017.05.020
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31 citations as recorded by crossref.
- Incorporation of volcanic SO<sub>2</sub> emissions in the Hemispheric CMAQ (H-CMAQ) version 5.2 modeling system and assessing their impacts on sulfate aerosol over the Northern Hemisphere S. Itahashi et al. 10.5194/gmd-14-5751-2021
- How Have Divergent Global Emission Trends Influenced Long‐Range Transported Ozone to North America? R. Mathur et al. 10.1029/2022JD036926
- WRF-GC (v2.0): online two-way coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.7.2) for modeling regional atmospheric chemistry–meteorology interactions X. Feng et al. 10.5194/gmd-14-3741-2021
- Establishing the Suitability of the Model for Prediction Across Scales for Global Retrospective Air Quality Modeling R. Gilliam et al. 10.1029/2020JD033588
- A reduced form model for ozone based on two decades of CMAQ simulations for the continental United States P. Porter et al. 10.1016/j.apr.2016.09.005
- The contribution of improved air quality to reduced cardiovascular mortality: Declines in socioeconomic differences over time L. Wyatt et al. 10.1016/j.envint.2019.105430
- 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 K. Wang et al. 10.5194/gmd-14-7189-2021
- Long-term trends in total inorganic nitrogen and sulfur deposition in the US from 1990 to 2010 Y. Zhang et al. 10.5194/acp-18-9091-2018
- Assessment of the effects of horizontal grid resolution on long-term air quality trends using coupled WRF-CMAQ simulations C. Gan et al. 10.1016/j.atmosenv.2016.02.036
- Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume M. Majdzadeh et al. 10.5194/gmd-15-219-2022
- Debiased inference for a covariate-adjusted regression function K. Takatsu & T. Westling 10.1093/jrsssb/qkae041
- Investigating the regional difference of aerosol feedback effects over South Korea using the WRF-CMAQ two-way coupled modeling system J. Yoo et al. 10.1016/j.atmosenv.2019.116968
- Evaluating the effectiveness of air quality regulations: A review of accountability studies and frameworks L. Henneman et al. 10.1080/10962247.2016.1242518
- Annual PM2.5 and cardiovascular mortality rate data: Trends modified by county socioeconomic status in 2,132 US counties L. Wyatt et al. 10.1016/j.dib.2020.105318
- A Call for an Aloft Air Quality Monitoring Network: Need, Feasibility, and Potential Value R. Mathur et al. 10.1021/acs.est.8b02496
- Regional Climate Effects of Biomass Burning and Dust in East Asia: Evidence From Modeling and Observation X. Dong et al. 10.1029/2019GL083894
- On the limit to the accuracy of regional-scale air quality models S. Rao et al. 10.5194/acp-20-1627-2020
- Long-term trends in the ambient PM<sub>2.5</sub>- and O<sub>3</sub>-related mortality burdens in the United States under emission reductions from 1990 to 2010 Y. Zhang et al. 10.5194/acp-18-15003-2018
- Meteorological modeling relevant to mesoscale and regional air quality applications: a review R. McNider & A. Pour-Biazar 10.1080/10962247.2019.1694602
- Short-term aerosol radiative effects and their regional difference during heavy haze episodes in January 2013 in China X. Cheng et al. 10.1016/j.atmosenv.2017.06.040
- Southeast Atmosphere Studies: learning from model-observation syntheses J. Mao et al. 10.5194/acp-18-2615-2018
- Extending the Community Multiscale Air Quality (CMAQ) modeling system to hemispheric scales: overview of process considerations and initial applications R. Mathur et al. 10.5194/acp-17-12449-2017
- Impact of Reductions in Emissions from Major Source Sectors on Fine Particulate Matter–Related Cardiovascular Mortality G. Peterson et al. 10.1289/EHP5692
- Exploration of PM mass, source, and component-related factors that might explain heterogeneity in daily PM2.5-mortality associations across the United States K. Rappazzo et al. 10.1016/j.atmosenv.2021.118650
- Trends in Seasonal Mean Speciated Aerosol Composition in Remote Areas of the United States From 2000 Through 2021 J. Hand et al. 10.1029/2023JD039902
- Source apportionment of Pb-containing particles in Beijing during January 2013 J. Cai et al. 10.1016/j.envpol.2017.04.004
- Evaluating trends and seasonality in modeled PM<sub>2.5</sub> concentrations using empirical mode decomposition H. Luo et al. 10.5194/acp-20-13801-2020
- Four Decades of United States Mobile Source Pollutants: Spatial–Temporal Trends Assessed by Ground-Based Monitors, Air Quality Models, and Satellites L. Henneman et al. 10.1021/acs.est.0c07128
- Human-Health Impacts of Controlling Secondary Air Pollution Precursors H. Pye et al. 10.1021/acs.estlett.1c00798
- Aircraft landing and takeoff emission impacts on surface O3 and PM2.5 through aerosol direct feedback effects estimated by the coupled WRF-CMAQ model C. Moniruzzaman et al. 10.1016/j.atmosenv.2020.117859
- Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States M. Astitha et al. 10.1016/j.atmosenv.2017.05.020
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Latest update: 23 Nov 2024
Short summary
This study attempts to determine the consequences of the changes in tropospheric aerosol burden arising from substantial reductions in emissions of SO2 and NOx associated with control measures under the Clean Air Act especially on trends in solar radiation. Comparisons of model results with observations of aerosol optical depth, aerosol concentration, and radiation demonstrate that the coupled WRF-CMAQ model is capable of replicating the trends well even though it tends to underestimate the AOD.
This study attempts to determine the consequences of the changes in tropospheric aerosol burden...
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