GSTDTAP  > 地球科学
DOI10.5194/acp-17-5829-2017
Comparisons of ground-based tropospheric NO2 MAX-DOAS measurements to satellite observations with the aid of an air quality model over the Thessaloniki area, Greece
Drosoglou, Theano1; Bais, Alkiviadis F.1; Zyrichidou, Irene1; Kouremeti, Natalia1,2; Poupkou, Anastasia1; Liora, Natalia1; Giannaros, Christos1; Koukouli, Maria Elissavet1; Balis, Dimitris1; Melas, Dimitrios1
2017-05-11
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2017
卷号17期号:9
文章类型Article
语种英语
国家Greece; Switzerland
英文摘要

One of the main issues arising from the comparison of ground-based and satellite measurements is the difference in spatial representativeness, which for locations with inhomogeneous spatial distribution of pollutants may lead to significant differences between the two data sets. In order to investigate the spatial variability of tropospheric NO2 within a sub-satellite pixel, a campaign which lasted for about 6 months was held in the greater area of Thessaloniki, Greece. Three multi-axial differential optical absorption spectroscopy (MAX-DOAS) systems performed measurements of tropospheric NO2 columns at different sites representative of urban, suburban and rural conditions. The direct comparison of these ground-based measurements with corresponding products from the Ozone Monitoring Instrument onboard NASA's Aura satellite (OMI/Aura) showed good agreement over the rural and suburban areas, while the comparison with the Global Ozone Monitoring Experiment-2 (GOME-2) onboard EUMETSAT's Meteorological Operational satellites' (MetOp-A and MetOp-B) observations is good only over the rural area. GOME-2A and GOME-2B sensors show an average underestimation of tropospheric NO2 over the urban area of about 10.51 +/- 8.32 x 10(15) and 10.21 +/- 8.87 x 10(15) molecules cm(2), respectively. The mean difference between groundbased and OMI observations is significantly lower (6.60 +/- 5.71 x 10(15) molecules cm(2)). The differences found in the comparisons of MAX-DOAS data with the different satellite sensors can be attributed to the higher spatial resolution of OMI, as well as the different overpass times and NO2 retrieval algorithms of the satellites. OMI data were adjusted using factors calculated by an air quality modeling tool, consisting of the Weather Research and Forecasting (WRF) mesoscale meteorological model and the Comprehensive Air Quality Model with Extensions (CAMx) multiscale photochemical transport model. This approach resulted in significant improvement of the comparisons over the urban monitoring site. The average difference of OMI observations from MAX-DOAS measurements was reduced to -1.68 +/- 5.01 x 10(15) molecules cm(2).


领域地球科学
收录类别SCI-E
WOS记录号WOS:000401103400003
WOS关键词COLUMN DENSITIES ; NITROGEN-DIOXIDE ; EMISSION SOURCES ; UV IRRADIANCE ; RURAL SITE ; ABSORPTION ; OMI ; RETRIEVAL ; GOME-2 ; SIMULATIONS
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/30865
专题地球科学
作者单位1.Aristotle Univ Thessaloniki, Lab Atmospher Phys, GR-54124 Thessaloniki, Greece;
2.Phys Meteorol Observ Davos, Dorfstr 33, CH-7260 Davos, Switzerland
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Drosoglou, Theano,Bais, Alkiviadis F.,Zyrichidou, Irene,et al. Comparisons of ground-based tropospheric NO2 MAX-DOAS measurements to satellite observations with the aid of an air quality model over the Thessaloniki area, Greece[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(9).
APA Drosoglou, Theano.,Bais, Alkiviadis F..,Zyrichidou, Irene.,Kouremeti, Natalia.,Poupkou, Anastasia.,...&Melas, Dimitrios.(2017).Comparisons of ground-based tropospheric NO2 MAX-DOAS measurements to satellite observations with the aid of an air quality model over the Thessaloniki area, Greece.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(9).
MLA Drosoglou, Theano,et al."Comparisons of ground-based tropospheric NO2 MAX-DOAS measurements to satellite observations with the aid of an air quality model over the Thessaloniki area, Greece".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.9(2017).
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