Kim, JY Ghim, YS 2024-01-21T11:12:55Z 2024-01-21T11:12:55Z 2021-09-05 2002-01 1352-2310 https://pubs.kist.re.kr/handle/201004/139886 The high ozone episode in the greater Seoul area (GSA) for the period of 27 July-1 August 1997 was modeled by the California Institute of Technology (CIT) three-dimensional photochemical model. During the period, ozone concentrations around 140 ppb were observed for 21 days. Two sets of diagnostic wind fields were constructed by using observations from the weather stations operated by the Korea Meteorological Administration. One set of wind fields utilized only observations from the surface weather stations (SWS) and the other set also utilized observations from the automatic weather stations (AWS) that were more densely distributed than the SWS. The results showed that utilizing observations from the AWS could represent fine variations in the wind field such as those caused by topography. A better wind field gave a more reasonable spatial distribution of ozone concentrations. The model performance of ozone prediction was also improved to some extent, but only marginally acceptable owing to large day-to-day variations, Overshoots of primary pollutants particularly for NO2 were observed as pollutants were accumulated where low wind speeds were maintained. More precise information on diurnal and daily variations in emissions was warranted in order to better model the photochemical phenomena over the GSA. (C) 2002 Elsevier Science Ltd. All rights reserved. English PERGAMON-ELSEVIER SCIENCE LTD AIR-QUALITY KOREA Effects of the density of meteorological observations on the diagnostic wind fields and the performance of photochemical modeling in the greater Seoul area Article 10.1016/S1352-2310(01)00443-5 1 ATMOSPHERIC ENVIRONMENT, v.36, no.2, pp.201 - 212 ATMOSPHERIC ENVIRONMENT 36 2 201 212 scie scopus 000173667400003 2-s2.0-0036147188 Environmental Sciences Meteorology & Atmospheric Sciences Environmental Sciences & Ecology Meteorology & Atmospheric Sciences Article AIR-QUALITY KOREA photochemical model diagnostic wind field local variations spatial distribution performance evaluation