Impact of Marine Shipping Emissions on Daytime Ozone Pollution during the Warm Season in China

all.city.2017-01.nc includes hourly observations of six major air pollutants at 336 urban centre sites in China in 2017, and also includes latitude and longitude information for these sites. O3_CONC.d01.nc is the extracted data from the WRF-CMAQ results file, which includes modelled hourly surface ozone concentrations for the simulation period. T-PCA_BTH_YRD_PRD.zip includes the daily weather pattern of Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD) regions obtained by the TPC-A method of classification, with 2 to 10 categories. Data_era5.zip includes all the ERA5 data used in the article (which have been extracted into nc files). ERA5_BTH.nc, ERA5_YRD.nc, and ERA5_PRD.nc include 10m u-component of wind,10m v-component of wind, and the sea level pressure data used as the weather classification for Beijing-Tianjin-Hebei, the Yangtze River Delta, and the Pearl River Delta regions, respectively. ERA5_2017_BTH_met.nc, ERA5_ 2017_YRD_met.nc, and ERA5_2017_BTH_met.nc includes meteorological elements such as 2m temperature, 2m dewpoint temperature, total precipitation, total cloud cover for the three regions, respectively. SA_O3_OCEAN_CONC.d01.nc is the extracted data from the CMAQ-ISAM model simulation results and includes the hourly impact of marine shipping emissions of ozone obtained from the simulation. region_city.zip includes mask files for the three main regions set up in the article, as well as city codes and latitude/longitude data for the 13 coastal port cities. city_sa_da8.zip contains the mean and seasonal mean impacts of MSEs on ozone for the 3 regions and 13 cities mentioned in region_city.zip, the ncl file is the script for the calculations, and the csv file is the output. pattern_sa_polluted_clean.zip includes the ozone impacts of MSEs on polluted days and clean days in different weather patterns, the ncl file is the script for the calculations, and the csv file is the output. CJK_domain.ncl is used to produce the manuscript’s Figure 1. sim_obs_dis_DA8_uv.ncl is used to produce the manuscript’s Figure 2. absolute_dis_DA8h.ncl is used to produce the manuscript’s Figure 3. region_city_o3_sa.ncl is used to produce the manuscript’s Figure 4. type_mean_slp_o3_sa.ncl is used for the distribution maps in Figures 5, 6 and 7. bar_type_sa.ncl is used to produce of the bar charts in Figure 5, Figure 6 and Figure 7, which were combined with the distribution maps obtained from type_mean_slp_o3_sa.ncl. cal_FDR_PCT.ncl is used to calculate the number of pairs of indistinguishable patterns obtained based on the FDR method for different number of classifications in the three regions (Figure S1). relative_dis_DA8h.ncl is used to produce Figure S2 in the Supplementary Materials. region_city_o3_sa_rc.ncl is used to produce Figure S3 in the Supplementary Materials. type_mean_slp.ncl is used to produce Figure S4 in the Supplementary Materials. type_mean_met.ncl is used to produce Figures S5-S7 in the Supplementary Materials, just replace the region name in this script. stat_season_pattern.zip includes frequency of occurrence of the four synoptic patterns during three seasons, the ncl file is the script for the calculations, and the csv file is the output (Table S1).