WRF-Chem Modeling of Tropospheric Ozone in the Coastal Cities of the Gulf of Finland

Author:

Nerobelov Georgii123ORCID,Virolainen Yana1ORCID,Ionov Dmitry1ORCID,Polyakov Alexander1ORCID,Rozanov Eugene14ORCID

Affiliation:

1. Atmospheric Physics Department, Saint Petersburg University, St. Petersburg 199034, Russia

2. Laboratory of Modeling of Middle and Upper Atmosphere, Russian State Hydrometeorological University, St. Petersburg 195196, Russia

3. SRC RAS—Scientific Research Centre for Ecological Safety of the Russian Academy of Sciences, St. Petersburg 197110, Russia

4. Physikalisch-Meteorologisches Observatorium Davos, World Radiation Centre, 7260 Davos, Switzerland

Abstract

Ozone in the troposphere is a pollutant and greenhouse gas. Atmospheric models can add valuable information to observations for studying the spatial and temporal variations in tropospheric ozone content. The present study is intended to evaluate the variability in tropospheric ozone and its precursors near the Gulf of Finland with a focus on St. Petersburg (Russia) and Helsinki (Finland) in 2016–2019, using the WRF-Chem 3-D numerical model with a spatial resolution of 10 km, together with observations. The diurnal cycle of the near-surface ozone concentrations (NSOCs) in both cities is caused by the variability in NO2 emissions, planetary boundary layer height, and local meteorological conditions. The seasonal variations in NSOCs and tropospheric ozone content (TrOC) are caused by the variability in total ozone content and in ozone formation in the troposphere. The model reveals a VOC-limited regime in the ~0–1 km layer around St. Petersburg, Helsinki, and the Gulf of Finland and a pronounced NOx-limited regime in the 0–2 km layer in the forests of southern Finland, Karelia, some Russian regions, and the Baltic countries in July. The WRF-Chem model overestimates the measured NSOCs by 10.7–43.5% and the TrOC by 7–10.4%. The observed differences are mainly caused by the errors in chemical boundary conditions and emissions of ozone precursors and by the coarse spatial resolution of the modeling.

Funder

Russian Science Foundation

Publisher

MDPI AG

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