Seasonality of the lower tropospheric ozone over China observed by the Ozone Monitoring Instrument. (July 2018)

• Record Type: Journal Article
• Authors: Hayashida, Sachiko; Kajino, Mizuo; Deushi, Makoto; Sekiyama, Tsuyoshi Thomas; Liu, Xiong
• Is Part Of: Atmospheric environment. Volume 184(2018)
• Page Start: 244
• Page End: 253
• Publication Date: 2018-07
• Subjects: Ozone -- OMI -- China -- Pollution -- Satellite; Air -- Pollution -- Periodicals; Air -- Pollution -- Meteorological aspects -- Periodicals; 551.51
• DOI: 10.1016/j.atmosenv.2018.04.014
• Languages: English
• ISSNs: 1352-2310

Abstract

Abstract: We analyzed the ozone (O3 ) profile product (PROFOZ) derived from Ozone Monitoring Instrument(OMI) ultraviolet (UV) spectra to reveal spatial and temporal variations in O3 distributions over China. Although discriminating vertical O3 in the lower troposphere is a challenge for satellite-borne measurements, previous research has confirmed the reliability of the lowermost layer O3 of the PROFOZ product, corresponding to 0–3 km, under the high O3 condition over China by comparison with the airborne measurements. In the present study, we focus on the seasonal variation of O3 obtained in the lowermost layer over China. We track the O3 enhancement under polluted conditions by using the ozone anomaly (ΔO3 ), defined as the difference between the retrieval values and a priori values, because our focus is the temporally high O3 level compared with the background level. We divide the 25–40° N and 100–135° E region into clusters according to the similarity of the seasonal variation in ΔO3 at the lowermost layer corresponding to approximately 0–3 km in altitude. Using this cluster analysis, we distinguish the areas in which ΔO3 has outstanding seasonality with high values in summer, particularly in June, and low values in winter over the North China Plain and Sichuan basin. The areas with these anomalous ΔO3 values correspond to high NO2 emission areas. We compare the results with model simulations from the Meteorological Research Institute–Chemistry Climate Model (MRI-CCM2) and meteorological data. The areas showing outstanding seasonality also correspond to those of high chemical production rates in June. Along the coastal area, ΔO3 values tend to drop to negative in August, which can be attributed to the inflow of clean oceanic air to inland regions. The results presented here again demonstrate the reliability of the lower tropospheric O3 data from the OMI PROFOZ product and suggest good capability of UV satellite sensors for monitoring O3 pollution that will be launched in the near future. Highlights: The lower tropospheric O3 distributions were obtained from a UV satellite sensor. Seasonal variation of the lower tropospheric O3 over China was analyzed. Seasonality of O3 enhancement over North China Plain corresponds to NO2 emissions. Reliability of the lower tropospheric O3 observed by OMI was demonstrated.