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dc.contributor.authorZyrichidou, I.
dc.contributor.authorKoukouli, M.E.
dc.contributor.authorBalis, D.S.
dc.contributor.authorKatragkou, E.
dc.contributor.authorPoupkou, A.
dc.contributor.authorKioutsioukis, I.
dc.contributor.authorMarkakis, K.
dc.contributor.authorMelas, D.
dc.contributor.authorVan Der A, R.
dc.contributor.authorBoersma, F.K.
dc.contributor.authorVan Roozendael, M.
dc.date2010
dc.date.accessioned2016-03-30T12:01:18Z
dc.date.available2016-03-30T12:01:18Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/3204
dc.descriptionHigh resolution model estimations of tropospheric NO2 column amounts from the Comprehensive Air Quality Model (CAMx) were simulated for the Balkan Peninsula and were compared with satellite data for a period of one year, in order to study the characteristics of the spatial and temporal variability of pollution in the area. The Balkan area is considered a crossroad of different pollution sources and therefore has been divided in urban, industrial and rural regions, aiming to investigate the consistency of satellite retrievals and model predictions at high spatial resolution. Satellite measurements of tropospheric NO2 are available daily at 13:30 LT since 2004 from OMI/Aura with a resolution of 13×24km. The anthropogenic emissions used in CAMx for the domain under study, was compiled employing bottom-up approaches (road transport sector, off-road machinery) as well as other national registries and international databases. High resolution GIS maps (road network, landuses, population) were also used in order to achieve high spatial resolution. In most of the cases the model reveals similar spatial patterns with the satellite data, while over certain areas discrepancies were found and investigated.
dc.languageeng
dc.titleComparison of satellite NO2 observations with high resolution model simulations over the Balkan Peninsula
dc.typeConference
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.source.titleAIP Conference Proceedings
dc.source.volume1203
dc.source.page632-637
Orfeo.peerreviewedNo
dc.identifier.doi10.1063/1.3322525
dc.identifier.scopus2-s2.0-76749170361


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