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Impact of intercontinental pollution transport on North American ozone air pollution: An HTAP phase 2 multi-model study

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posted on 2018-04-26, 10:51 authored by Min Huang, Gregory R. Carmichael, R. Bradley Pierce, Duseong S. Jo, Rokjin J. Park, Johannes Flemming, Louisa K. Emmons, Kevin W. Bowman, Daven K. Henze, Yanko Davila, Kengo Sudo, Jan Eiof Jonson, Marianne Tronstad Lund, Greet Janssens-Maenhout, Frank J. Dentener, Terry J. Keating, Hilke Oetjen, Vivienne H. Payne
The recent update on the US National Ambient Air Quality Standards (NAAQS) of the ground-level ozone (O 3 ) can benefit from a better understanding of its source contributions in different US regions during recent years. In the Hemispheric Transport of Air Pollution experiment phase 1 (HTAP1), various global models were used to determine the O 3 source-receptor (SR) relationships among three continents in the Northern Hemisphere in 2001. In support of the HTAP phase 2 (HTAP2) experiment that studies more recent years and involves higher-resolution global models and regional models' participation, we conduct a number of regional-scale Sulfur Transport and dEposition Model (STEM) air quality base and sensitivity simulations over North America during May-June 2010. STEM's top and lateral chemical boundary conditions were downscaled from three global chemical transport models' (i.e., GEOS-Chem, RAQMS, and ECMWF C-IFS) base and sensitivity simulations in which the East Asian (EAS) anthropogenic emissions were reduced by 20%. The mean differences between STEM surface O 3 sensitivities to the emission changes and its corresponding boundary condition model's are smaller than those among its boundary condition models, in terms of the regional/period-mean ( < 10%) and the spatial distributions. An additional STEM simulation was performed in which the boundary conditions were downscaled from a RAQMS (Realtime Air Quality Modeling System) simulation without EAS anthropogenic emissions. The scalability of O3 sensitivities to the size of the emission perturbation is spatially varying, and the full (i.e., based on a 100% emission reduction) source contribution obtained from linearly scaling the North American mean O3 sensitivities to a 20% reduction in the EAS anthropogenic emissions may be underestimated by at least 10%. The three boundary condition models' mean O 3 sensitivities to the 20% EAS emission perturbations are 8% (May-June 2010) 11% (2010 annual) lower than those estimated by eight global models, and the multi-model ensemble estimates are higher than the HTAP1 reported 2001 conditions. GEOS-Chem sensitivities indicate that the EAS anthropogenic NO emissions matter more than the other EAS O 3 precursors to the North American O 3 , qualitatively consistent with previous adjoint sensitivity calculations. In addition to the analyses on large spatial-temporal scales relative to the HTAP1, we also show results on subcontinental and event scales that are more relevant to the US air quality management. The EAS pollution impacts are weaker during observed O 3 exceedances than on all days in most US regions except over some high-terrain western US rural/remote areas. Satellite O 3 (TES, JPL-IASI, and AIRS) and carbon monoxide (TES and AIRS) products, along with surface measurements and model calculations, show that during certain episodes stratospheric O3 intrusions and the transported EAS pollution influenced O 3 in the western and the eastern US differently. Free-running (i.e., without chemical data assimilation) global models underpredicted the transported background O 3 during these episodes, posing difficulties for STEM to accurately simulate the surface O 3 and its source contribution. Although we effectively improved the modeled O 3 by incorporating satellite O 3 (OMI and MLS) and evaluated the quality of the HTAP2 emission inventory with the Royal Netherlands Meteorological Institute-Ozone Monitoring Instrument (KNMI-OMI) nitrogen dioxide, using observations to evaluate and improve O 3 source attribution still remains to be further explored.

Funding

Min Huang thanks the research resources at the University of Iowa and JPL/Caltech that supported this study as well as the travel funding from the US EPA for attending the related HTAP2 workshops. Daven K. Henze and Yanko Davila recognize support from NASA AQAST. Frank J. Dentener acknowledges support from the Administrative Arrangement.

History

Citation

Atmospheric Chemistry and Physics, 2017, 17 (9), pp. 5721-5750

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Physics and Astronomy

Version

  • VoR (Version of Record)

Published in

Atmospheric Chemistry and Physics

Publisher

European Geosciences Union (EGU), Copernicus Publications

issn

1680-7316

eissn

1680-7324

Acceptance date

2017-04-10

Copyright date

2017

Available date

2018-04-26

Publisher version

https://www.atmos-chem-phys.net/17/5721/2017/

Notes

The model outputs in HTAP2 standard format were submitted to the AeroCom database following guidelines at http://iek8wikis.iek.fz-juelich.de/HTAPWiki/ HTAP-2-data-submission and can be obtained upon request. In situ observations data can be accessed at http://epa.gov/ castnet/javaweb/index.html and http://www.eanet.asia/. Satellite data can be accessed at https://tes.jpl.nasa.gov/data/, https://acdisc.gesdisc.eosdis.nasa.gov/data/Aqua_AIRS_Level3/, and http://www.temis.nl/airpollution/no2.html. IASI retrievals that are achieved at JPL can be obtained by contacting Vivienne H. Payne at vivienne.h.payne@jpl.nasa.gov.

Language

en

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