Does Downscaling Improve the Performance of Urban Ozone Modeling?

Yuting Wang, Guy P. Brasseur, Yong Feng Ma, Vincent Henri Peuch, Tao Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Increasing the model resolution is expected to be one way for improving air quality forecasts in urban areas. In this study, we evaluate the model performance in a large city at various resolutions to examine the best resolution for air pollution simulations. The comparison with measurements at a station near the traffic emissions shows the advantage of using high resolutions for capturing the extreme values. The statistical evaluation indicates that the highest model resolution (33 m) provides the best results for NOX concentration distributions near the traffic roads, while the improvement for roadside O3 with decreasing grid spacing stops at a certain point. The best model performance for the areas with a distance to the pollution sources is with the resolution of 100–300 m, at which the transport errors are equivalent to the emission biases.

Original languageEnglish
Article numbere2023GL104761
JournalGeophysical Research Letters
Volume50
Issue number23
DOIs
Publication statusPublished - 16 Dec 2023

Keywords

  • LES
  • model resolution
  • multi-scale simulations
  • turbulence
  • urban air quality

ASJC Scopus subject areas

  • Geophysics
  • General Earth and Planetary Sciences

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