دورية أكاديمية

Comparison of OMI NO2 observations and their seasonal and weekly cycles with ground-based measurements in Helsinki.

التفاصيل البيبلوغرافية
العنوان: Comparison of OMI NO2 observations and their seasonal and weekly cycles with ground-based measurements in Helsinki.
المؤلفون: Ialongo, Iolanda, Herman, Jay, Krotkov, Nick, Lamsal, Lok, Boersma, Folkert, Hovila, Jari, Tamminen, Johanna
المصدر: Atmospheric Measurement Techniques Discussions; 2016, Vol. 9 Issue 6, p1-13, 13p
مصطلحات موضوعية: SPECTROMETERS, ZENITH distance
مستخلص: We present the comparison of satellite-based OMI (Ozone Monitoring Instrument) NO2 products with ground-based observations in Helsinki. OMI NO2 total columns, available from standard product (SP) and DOMINO algorithm, are compared with the measurements performed by the Pandora spectrometer in Helsinki in 2012. The relative difference between Pandora #21 and OMI SP retrievals is 4 % and -6 % for clear sky and all sky conditions, respectively. DOMINO NO2 retrievals showed slightly lower total columns with median differences about -5 % and -14 % for clear sky and all sky conditions, respectively. Large differences often correspond to cloudy autumn-winter days with solar zenith angles above 65°. Nevertheless, the differences remain within the retrieval uncertainties. Furthermore, the weekly and seasonal cycles from OMI, Pandora and NO2 surface concentrations are compared. Both satellite- and ground-based data show a similar weekly cycle, with lower NO2 levels during the weekend compared to the weekdays as result of reduced emissions from traffic and industrial activities. Also the seasonal cycle shows a similar behaviour, even though the results are affected by the fact that most of the data are available during spring-summer because of cloud cover in other seasons. This is one of few works in which OMI NO2 retrievals are evaluated in a urban site at high latitudes (60° N). Despite the city of Helsinki having relatively small pollution sources, OMI retrievals have proved to be able to describe air quality features and variability similar to surface observations. This adds confidence in using satellite observations for air quality monitoring also at high latitudes. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:18678610
DOI:10.5194/amt-2016-212