Articles | Volume 21, issue 21
https://doi.org/10.5194/acp-21-16531-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-16531-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Nov 2021
Research article |
| 11 Nov 2021
| 11 Nov 2021
Improving predictability of high-ozone episodes through dynamic boundary conditions, emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign
Siqi Ma
Department of Atmospheric, Oceanic and Earth Sciences, George Mason
University, Fairfax, VA 22030, USA
National Research Council, hosted by the National Oceanic and
Atmospheric Administration Air Resources Lab, College Park, MD 20740, USA
Department of Atmospheric, Oceanic and Earth Sciences, George Mason
University, Fairfax, VA 22030, USA
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
Lok Lamsal
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, MD 20771, USA
Universities Space Research Association, Columbia, MD 21046, USA
Julian Wang
CORRESPONDING AUTHOR
National Oceanic and Atmospheric Administration (NOAA) Air Resources Laboratory, College Park, MD 22030, USA
Xuelei Zhang
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
Youhua Tang
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
National Oceanic and Atmospheric Administration (NOAA) Air Resources Laboratory, College Park, MD 22030, USA
Rick Saylor
National Oceanic and Atmospheric Administration (NOAA) Air Resources Laboratory, College Park, MD 22030, USA
Tianfeng Chai
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, MD 20771, USA
Pius Lee
National Oceanic and Atmospheric Administration (NOAA) Air Resources Laboratory, College Park, MD 22030, USA
Patrick Campbell
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
National Oceanic and Atmospheric Administration (NOAA) Air Resources Laboratory, College Park, MD 22030, USA
Barry Baker
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
National Oceanic and Atmospheric Administration (NOAA) Air Resources Laboratory, College Park, MD 22030, USA
Shobha Kondragunta
NOAA National Environmental Satellite Data and Information Service,
College Park, MD 20740, USA
Laura Judd
NASA Langley Research Center, Hampton, VA 23681, USA
Timothy A. Berkoff
NASA Langley Research Center, Hampton, VA 23681, USA
Scott J. Janz
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, MD 20771, USA
Ivanka Stajner
NOAA National Weather Service National Centers for Environmental
Prediction, College Park, MD 20740, USA
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Cited
7 citations as recorded by crossref.
- Ozone pollution episodes and PBL height variation in the NYC urban and coastal areas during LISTOS 2019 Y. Wu et al. 10.1016/j.atmosenv.2023.120317
- Investigating the role of photochemistry and impact of regional and local contributions on gaseous pollutant concentrations (NO, NO2, O3, CO, and SO2) at urban and suburban sites S. Chatoutsidou & M. Lazaridis 10.1016/j.apr.2024.102322
- Intimately tracking NO2 pollution over the New York City - Long Island Sound land-water continuum: An integration of shipboard, airborne, satellite observations, and models M. Tzortziou et al. 10.1016/j.scitotenv.2023.165144
- Unraveling the interaction of urban emission plumes and marine breezes involved in the formation of summertime coastal high ozone on Long Island J. Zhang et al. 10.1039/D2EA00061J
- Identification of the roles of urban plume and local chemical production in ozone episodes observed in Long Island Sound during LISTOS 2018: Implications for ozone control strategies K. Zhao et al. 10.1016/j.envint.2023.107887
- Investigating sensitivity of ozone to emission reductions in the New York City (NYC) metropolitan and downwind areas T. Tran et al. 10.1016/j.atmosenv.2023.119675
- New Insights Into the Role of Atmospheric Transport and Mixing on Column and Surface Concentrations of NO2 at a Coastal Urban Site T. Adams et al. 10.1029/2022JD038237
7 citations as recorded by crossref.
- Ozone pollution episodes and PBL height variation in the NYC urban and coastal areas during LISTOS 2019 Y. Wu et al. 10.1016/j.atmosenv.2023.120317
- Investigating the role of photochemistry and impact of regional and local contributions on gaseous pollutant concentrations (NO, NO2, O3, CO, and SO2) at urban and suburban sites S. Chatoutsidou & M. Lazaridis 10.1016/j.apr.2024.102322
- Intimately tracking NO2 pollution over the New York City - Long Island Sound land-water continuum: An integration of shipboard, airborne, satellite observations, and models M. Tzortziou et al. 10.1016/j.scitotenv.2023.165144
- Unraveling the interaction of urban emission plumes and marine breezes involved in the formation of summertime coastal high ozone on Long Island J. Zhang et al. 10.1039/D2EA00061J
- Identification of the roles of urban plume and local chemical production in ozone episodes observed in Long Island Sound during LISTOS 2018: Implications for ozone control strategies K. Zhao et al. 10.1016/j.envint.2023.107887
- Investigating sensitivity of ozone to emission reductions in the New York City (NYC) metropolitan and downwind areas T. Tran et al. 10.1016/j.atmosenv.2023.119675
- New Insights Into the Role of Atmospheric Transport and Mixing on Column and Surface Concentrations of NO2 at a Coastal Urban Site T. Adams et al. 10.1029/2022JD038237
Latest update: 22 Nov 2024
Short summary
Predicting high ozone gets more challenging as urban emissions decrease. How can different techniques be used to foretell the quality of air to better protect human health? We tested four techniques with the CMAQ model against observations during a field campaign over New York City. The new system proves to better predict the magnitude and timing of high ozone. These approaches can be extended to other regions to improve the predictability of high-O3 episodes in contemporary urban environments.
Predicting high ozone gets more challenging as urban emissions decrease. How can different...
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