Impact of time-dependent chemical boundary conditions on tropospheric ozone simulation with WRF-Chem: An experiment over the Metropolitan Area of São Paulo. (December 2018)

• Record Type: Journal Article
• Authors: Gavidia-Calderón, M.; Vara-Vela, A.; Crespo, N.M.; Andrade, M.F.
• Is Part Of: Atmospheric environment. Volume 195(2018)
• Page Start: 112
• Page End: 124
• Publication Date: 2018-12
• Subjects: Chemical boundary conditions -- WRF-Chem -- MOZART-4 -- Tropospheric ozone -- São Paulo megacity; Air -- Pollution -- Periodicals; Air -- Pollution -- Meteorological aspects -- Periodicals; 551.51
• DOI: 10.1016/j.atmosenv.2018.09.026
• Languages: English
• ISSNs: 1352-2310

Abstract

Abstract: WRF-Chem (Weather Research and Forecasting with Chemistry Model) is being used to perform air quality forecast over the southeast Brazil with a domain centered in the Metropolitan Area of São Paulo (MASP). The simulations are used to understand the pollutants behavior concerning the fluxes to and from the urban areas, to examine the formation of secondary pollutants (e.g., tropospheric ozone), and to validate the efficacy of air quality policies implementation, particularly the ones that are related to the vehicular fuel used in the region. One important factor to improve the air quality simulations is the configuration of suited inflow boundary conditions for the chemical species. In that context, the objective of this study is to assess the impacts of using time-dependent Chemical Lateral Boundary Conditions (CBC) on tropospheric ozone simulations with WRF-Chem. Two simulations were carried out using Carbon-Bond Mechanism version Z (CBMZ). The first simulation was a set-up to run with WRF-Chem default CBC, and the second one using time-dependent CBC obtained from MOZART-4 (Model for Ozone and Related chemical Tracers, version 4) simulations. The period of study was from May 15 to May 18 and from October 30 to November 1, 2006, when a comprehensive experiment with ozonesondes launching and surface measurements was performed. Results show that using MOZART-4 CBC reduced mean bias, RMSE and slightly improved correlation coefficients for ground level ozone as well as ozone vertical profile above 3 km. These improvements were more significant during periods with lower photochemical activity. However, underestimation of ozone concentration peaks was also observed in this period, which can be an issue for operational air quality forecasting. Highlights: Chemical boundary conditions in ozone modelling for a South American domain. The larger impact in ozone concentration simulation occurs when photochemical activity is low. Primary pollutant concentration simulation does not suffer a great impact with different boundary conditions.