Comparison of Ground-Based Tropospheric NO2 Columns with OMI/Aura Products in the Greater Area of Thessaloniki by Means of an Air Quality Modeling Tool

TitleComparison of Ground-Based Tropospheric NO2 Columns with OMI/Aura Products in the Greater Area of Thessaloniki by Means of an Air Quality Modeling Tool
Publication TypeBook Chapter
Year of Publication2017
AuthorsDrosoglou, T, Bais, AF, Zyrichidou, I, Poupkou, A, Liora, N, Giannaros, C, Koukouli, ME, Kouremeti, N, Dimopoulos, S, Balis, D, Melas, D
Book TitlePerspectives on Atmospheric Sciences (Editors: Karacostas, T., Bais, A., Nastos, P.)
Pagination1075-1080
PublisherSpringer Atmospheric Sciences, Springer, Cham
ISBN Number978-3-319-35095-0 (online) & 978-3-319-35094-3 (print)
Abstract

Phaethon is a ground-based MAX-DOAS system, easily deployed at different locations to address specific air quality problems and support satellite validation studies. Three Phaethon systems have been deployed at different sites in the greater area of Thessaloniki, characterized by diverse local pollution levels representing urban, suburban and rural conditions, aiming at linking tropospheric trace-gas modeling with satellite products. Tropospheric NO2 columns derived at these sites located within an area of about 15 by 30 km, comparable to the size of OMI/Aura pixel, are compared with the satellite retrievals. The OMI/Aura products underestimate the NO2 in the city centre, representing the average pollution levels in the sub-satellite pixel area which, in the case of Thessaloniki, corresponds mostly to rural conditions. In order to minimize the collocation differences in spatial distribution between satellite and ground-based measurements, the former are adjusted by factors that are calculated by means of a high resolution air quality modeling tool, consisting of WRF meteorological model and CAMx air quality model. This approach shows significant improvement in the comparisons between ground-based and satellite-derived observations.

URLhttps://link.springer.com/chapter/10.1007/978-3-319-35095-0_153
DOI10.1007/978-3-319-35095-0_153