Articles | Volume 15, issue 21
https://doi.org/10.5194/acp-15-12645-2015
© 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-15-12645-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Nov 2015
Research article |
| 13 Nov 2015
The effects of global change upon United States air quality
R. Gonzalez-Abraham
CORRESPONDING AUTHOR
Washington State University, Pullman, Washington, USA
now at: Portland State University, Portland, Oregon USA
S. H. Chung
Washington State University, Pullman, Washington, USA
J. Avise
Washington State University, Pullman, Washington, USA
California Air Resources Board, Sacramento, California, USA
B. Lamb
Washington State University, Pullman, Washington, USA
E. P. Salathé Jr.
University of Washington-Bothel, Bothel, Washington, USA
C. G. Nolte
Environmental Protection Agency, Research Triangle Park, North Carolina, USA
D. Loughlin
Environmental Protection Agency, Research Triangle Park, North Carolina, USA
A. Guenther
National Center for Atmospheric Research, Boulder, Colorado, USA
now at: University of California-Irivine, Irvine, California, USA
C. Wiedinmyer
National Center for Atmospheric Research, Boulder, Colorado, USA
T. Duhl
National Center for Atmospheric Research, Boulder, Colorado, USA
National Center for Atmospheric Research, Boulder, Colorado, USA
D. G. Streets
Argonne National Laboratory, Argonne, Illinois, USA
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30 citations as recorded by crossref.
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- Bridging existing energy and chemical transport models to enhance air quality policy assessment S. Ngo et al. https://doi.org/10.1016/j.envsoft.2024.106218
- The potential effects of climate change on air quality across the conterminous US at 2030 under three Representative Concentration Pathways C. Nolte et al. https://doi.org/10.5194/acp-18-15471-2018
- Southeast Atmosphere Studies: learning from model-observation syntheses J. Mao et al. https://doi.org/10.5194/acp-18-2615-2018
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- Modeling the Air Quality Impacts of Future Energy Scenarios U. Shankar et al. https://doi.org/10.1021/acsestair.5c00175
- Using “Local Climate Zones” to Detect Urban Heat Island on Two Small Cities in Alabama J. Chieppa et al. https://doi.org/10.1175/EI-D-17-0020.1
- Numerical assessment of PM2.5 and O3 air quality in Continental Southeast Asia: Impacts of potential future climate change G. Nguyen et al. https://doi.org/10.1016/j.atmosenv.2019.116901
- Meteorological Influences on Spatiotemporal Variation of PM2.5 Concentrations in Atmospheric Pollution Transmission Channel Cities of the Beijing–Tianjin–Hebei Region, China S. Wang et al. https://doi.org/10.3390/ijerph19031607
- The role of natural variability in projections of climate change impacts on U.S. ozone pollution F. Garcia‐Menendez et al. https://doi.org/10.1002/2016GL071565
- The impact of emissions and climate change on future ozone concentrations in the USA M. Moghani & C. Archer https://doi.org/10.1007/s11869-020-00900-z
- A Novel Ensemble Design for Probabilistic Predictions of Fine Particulate Matter Over the Contiguous United States (CONUS) R. Kumar et al. https://doi.org/10.1029/2020JD032554
- Evaluation of Air Quality Model Performance for Simulating Long-Range Transport and Local Pollution of PM2.5in Japan H. Shimadera et al. https://doi.org/10.1155/2016/5694251
- Climate change penalty and benefit on surface ozone: a global perspective based on CMIP6 earth system models P. Zanis et al. https://doi.org/10.1088/1748-9326/ac4a34
- Quantifying PM2.5-meteorology sensitivities in a global climate model D. Westervelt et al. https://doi.org/10.1016/j.atmosenv.2016.07.040
- Projected Aerosol Changes Driven by Emissions and Climate Change Using a Machine Learning Method H. Li et al. https://doi.org/10.1021/acs.est.1c04380
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- 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 D. Abel et al. https://doi.org/10.1371/journal.pmed.1002599
- Machine Learning-Based Bias-Corrected Future Projections of Ozone Concentrations from a Chemistry-Climate Model Y. Ni et al. https://doi.org/10.1021/acs.est.5c11992
- A Maieutic Exploration of Nudging Strategies for Regional Climate Applications Using the WRF Model T. Spero et al. https://doi.org/10.1175/JAMC-D-17-0360.1
- Climate Change Penalty to Ozone Air Quality: Review of Current Understandings and Knowledge Gaps T. Fu & H. Tian https://doi.org/10.1007/s40726-019-00115-6
- The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) modeling system version 5.3.2 B. Murphy et al. https://doi.org/10.5194/gmd-14-3407-2021
- Urban Air Quality Model Inter-Comparison Study (UMICS) for Improvement of PM2.5 Simulation in Greater Tokyo Area of Japan H. Shimadera et al. https://doi.org/10.5572/ajae.2018.12.2.139
- Updates to the Noah Land Surface Model in WRF‐CMAQ to Improve Simulated Meteorology, Air Quality, and Deposition P. Campbell et al. https://doi.org/10.1029/2018MS001422
- Effects of emissions change, climate change and long-range transport on regional modeling of future U.S. particulate matter pollution and speciation H. He et al. https://doi.org/10.1016/j.atmosenv.2018.02.020
- Impacts of transportation sector emissions on future U.S. air quality in a changing climate. Part I: Projected emissions, simulation design, and model evaluation P. Campbell et al. https://doi.org/10.1016/j.envpol.2018.04.020
- Evaluation of near surface ozone and particulate matter in air quality simulations driven by dynamically downscaled historical meteorological fields K. Seltzer et al. https://doi.org/10.1016/j.atmosenv.2016.05.010
30 citations as recorded by crossref.
- Changes in the Relative Importance of Biogenic Isoprene and Soil NOx Emissions on Ozone Concentrations in Nonattainment Areas of the United States J. Geddes et al. https://doi.org/10.1029/2021JD036361
- Bridging existing energy and chemical transport models to enhance air quality policy assessment S. Ngo et al. https://doi.org/10.1016/j.envsoft.2024.106218
- The potential effects of climate change on air quality across the conterminous US at 2030 under three Representative Concentration Pathways C. Nolte et al. https://doi.org/10.5194/acp-18-15471-2018
- Southeast Atmosphere Studies: learning from model-observation syntheses J. Mao et al. https://doi.org/10.5194/acp-18-2615-2018
- Unraveling the complex impact of climate change on air quality in the world Y. Lai et al. https://doi.org/10.1038/s44407-025-00027-4
- Investigating the response of China's surface ozone concentration to the future changes of multiple factors J. Yang et al. https://doi.org/10.5194/acp-25-2649-2025
- Meteorology and Climate Influences on Tropospheric Ozone: a Review of Natural Sources, Chemistry, and Transport Patterns X. Lu et al. https://doi.org/10.1007/s40726-019-00118-3
- Modeling the Air Quality Impacts of Future Energy Scenarios U. Shankar et al. https://doi.org/10.1021/acsestair.5c00175
- Using “Local Climate Zones” to Detect Urban Heat Island on Two Small Cities in Alabama J. Chieppa et al. https://doi.org/10.1175/EI-D-17-0020.1
- Numerical assessment of PM2.5 and O3 air quality in Continental Southeast Asia: Impacts of potential future climate change G. Nguyen et al. https://doi.org/10.1016/j.atmosenv.2019.116901
- Meteorological Influences on Spatiotemporal Variation of PM2.5 Concentrations in Atmospheric Pollution Transmission Channel Cities of the Beijing–Tianjin–Hebei Region, China S. Wang et al. https://doi.org/10.3390/ijerph19031607
- The role of natural variability in projections of climate change impacts on U.S. ozone pollution F. Garcia‐Menendez et al. https://doi.org/10.1002/2016GL071565
- The impact of emissions and climate change on future ozone concentrations in the USA M. Moghani & C. Archer https://doi.org/10.1007/s11869-020-00900-z
- A Novel Ensemble Design for Probabilistic Predictions of Fine Particulate Matter Over the Contiguous United States (CONUS) R. Kumar et al. https://doi.org/10.1029/2020JD032554
- Evaluation of Air Quality Model Performance for Simulating Long-Range Transport and Local Pollution of PM2.5in Japan H. Shimadera et al. https://doi.org/10.1155/2016/5694251
- Climate change penalty and benefit on surface ozone: a global perspective based on CMIP6 earth system models P. Zanis et al. https://doi.org/10.1088/1748-9326/ac4a34
- Quantifying PM2.5-meteorology sensitivities in a global climate model D. Westervelt et al. https://doi.org/10.1016/j.atmosenv.2016.07.040
- Projected Aerosol Changes Driven by Emissions and Climate Change Using a Machine Learning Method H. Li et al. https://doi.org/10.1021/acs.est.1c04380
- Influence of 2000–2050 climate change on particulate matter in the United States: results from a new statistical model L. Shen et al. https://doi.org/10.5194/acp-17-4355-2017
- Response of PM2.5 concentration to climate variability and climate change prediction in China W. Li et al. https://doi.org/10.1016/j.jastp.2025.106588
- 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 D. Abel et al. https://doi.org/10.1371/journal.pmed.1002599
- Machine Learning-Based Bias-Corrected Future Projections of Ozone Concentrations from a Chemistry-Climate Model Y. Ni et al. https://doi.org/10.1021/acs.est.5c11992
- A Maieutic Exploration of Nudging Strategies for Regional Climate Applications Using the WRF Model T. Spero et al. https://doi.org/10.1175/JAMC-D-17-0360.1
- Climate Change Penalty to Ozone Air Quality: Review of Current Understandings and Knowledge Gaps T. Fu & H. Tian https://doi.org/10.1007/s40726-019-00115-6
- The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) modeling system version 5.3.2 B. Murphy et al. https://doi.org/10.5194/gmd-14-3407-2021
- Urban Air Quality Model Inter-Comparison Study (UMICS) for Improvement of PM2.5 Simulation in Greater Tokyo Area of Japan H. Shimadera et al. https://doi.org/10.5572/ajae.2018.12.2.139
- Updates to the Noah Land Surface Model in WRF‐CMAQ to Improve Simulated Meteorology, Air Quality, and Deposition P. Campbell et al. https://doi.org/10.1029/2018MS001422
- Effects of emissions change, climate change and long-range transport on regional modeling of future U.S. particulate matter pollution and speciation H. He et al. https://doi.org/10.1016/j.atmosenv.2018.02.020
- Impacts of transportation sector emissions on future U.S. air quality in a changing climate. Part I: Projected emissions, simulation design, and model evaluation P. Campbell et al. https://doi.org/10.1016/j.envpol.2018.04.020
- Evaluation of near surface ozone and particulate matter in air quality simulations driven by dynamically downscaled historical meteorological fields K. Seltzer et al. https://doi.org/10.1016/j.atmosenv.2016.05.010
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