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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  24 Jun 2020

24 Jun 2020

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This preprint is currently under review for the journal ACP.

Late-Spring and Summertime Tropospheric Ozone and NO2 in Western Siberia and the Russian Arctic: Regional Model Evaluation and Sensitivities

Thomas Thorp1, Stephen R. Arnold1, Richard J. Pope1,2, Dominic V. Spracklen1, Luke Conibear1, Christoph Knote3, Mikhail Arshinov4, Boris Belan4, Eija Asmi5, Tuomas Laurila5, Andrei I. Skorokhod6, Tuomo Nieminen7, and Tuukka Petäjä7 Thomas Thorp et al.
  • 1Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
  • 2National Centre for Earth Observation, University of Leeds, Leeds, LS2 9JT, UK
  • 3Meteorological Institute, Ludwig- Maximilians-University Munich, Theresienstr. 37, 80333 Munich, Germany
  • 4V.E Zuev Institute of Atmospheric Optics, Russian Academy of Sciences, Siberian Branch, Tomsk, Russia
  • 5Finnish Meteorological Institute, Climate Research Programme, 00101, Helsinki, Finland
  • 6A.M Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, Moscow, Russia
  • 7Institute for Atmospheric and Earth System Research, University of Helsinki, Finland

Abstract. We use a regional chemistry transport model (WRF-Chem) in conjunction with surface observations of tropospheric ozone and Ozone Monitoring Instrument (OMI) satellite retrievals of tropospheric column NO2 to evaluate processes controlling the regional distribution of tropospheric ozone over Western Siberia for late-spring and summer in 2011. This region hosts a range of anthropogenic and natural ozone precursor sources, and serves as a gateway for near-surface transport of Eurasian pollution to the Arctic. However, there is a severe lack of in-situ observations to constrain tropospheric ozone sources and sinks in the region. We show widespread negative bias in WRF-Chem tropospheric column NO2 when compared to OMI satellite observations from May – August, which is reduced when using ECLIPSE v5a emissions (FMB= -0.82 to -0.73) compared with the EDGAR-HTAP-2 emissions data (FMB= -0.80 to -0.70). Despite the large negative bias, the spatial correlations between model and observed NO2 columns suggest that the spatial pattern of NOx sources in the region is well represented. Based on ECLIPSE v5a emissions, we assess the influence of the two dominant anthropogenic emission sectors (transport and energy) and vegetation fires on surface NOx and ozone over Siberia and the Russian Arctic. Our results suggest regional ozone is more sensitive to anthropogenic emissions, particularly from the transport sector, and the contribution from fire emissions maximises in June and is largely confined to latitudes south of 60° N. Large contributions to surface ozone from energy emissions are simulated in April north of 60° N, due to emissions associated with oil and gas extraction. Ozone dry deposition fluxes from the model simulations show that the dominant ozone dry deposition sink in the region is to forest, averaging 6.0 Tg of ozone per month, peaking at 9.1 Tg of ozone deposition during June. The impact of fires on ozone dry deposition within the domain is small compared to anthropogenic emissions, and is negligible north of 60° N. Overall, our results suggest that surface ozone in the region is controlled by an interplay between seasonality in atmospheric transport patterns, vegetation dry deposition, and a dominance of transport and energy sector emissions.

Thomas Thorp et al.

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Thomas Thorp et al.

Thomas Thorp et al.


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Publications Copernicus
Short summary
We compare modelled near-surface pollutants with surface and satellite observations to better understand the controls on the regional concentrations of pollution in Western Siberia for late-spring and summer in 2011. We find 2 commonly used emission inventories underestimate human emissions, when compared to observations. Transport emissions are the main source of pollutants within the region during this period, whilst fire emissions peak during June, and are only significant south of 60° N.
We compare modelled near-surface pollutants with surface and satellite observations to better...