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| Titel |
Air quality remote sensing over alpine regions with METEOSAT SEVIRI |
| VerfasserIn |
E. Emili, C. Popp, M. Petitta, M. Riffler, S. Wunderle |
| Konferenz |
EGU General Assembly 2009
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250025141
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| Zusammenfassung |
| It is well demonstrated that small aerosol particles or particulate matter (PM10 and PM2.5)
affect air quality and can have severe effects on human’s health. Hence, it is of great interest
for public institutions to have an efficient PM monitoring network. In the last decades this
data has been provided from ground-based instruments. Moreover, due to the fast
development of space-borne remote sensing instruments, we can now be able to take
advantage of air pollution measurements from space, which bears the potential to fill up the
gap of spatial coverage from ground-based networks. This also improves the capability to
assess air pollutants transport properties together with a better implementation in forecasting
data assimilation procedures.
In this study we examine the possibility of using data from the Spinning Enhanced Visible
and Infrared Imager (SEVIRI), on-board of the geostationary Meteosat Second Generation
(MSG) platform, to provide PM concentrations values over Switzerland. SEVIRI’s high
temporal resolution (15 minutes) could be very useful in investigating the daily behaviour of
air pollutants and therefore be a good complement to measurements from polar orbiting
sensors (e.g. MODIS).
Switzerland is of particular interest because of its mountainous orography that hampers
pollutants dispersion. Further, major transalpine connection routes, often characterised by
high traffic load, act as a significant air pollution source. The south of Switzerland is also
occasionally influenced by pollutants transported from the highly industrialised Po Valley in
northern Italy.
We investigate the existence of a linear relation between the SEVIRI retrieved AOD
(Aerosol Optical Depth) and the PM concentration obtained from the ground-based air
quality network NABEL (Nationales Beobachtungsnetz fuer Luftfremdstoffe). The temporal
trend of this two quantities shows a significant relationship over various locations. The
correlation coefficient is in some cases higher than 0.6, indicating the possibility of
estimating PM concentrations from SEVIRI AOD with a reasonable uncertainty using a
statistical empirical linear model. The quality of this approach is highly influenced by the
seasonal variability and by the meteorological conditions. We also include meteorological
data in order to investigate the observed correlation and to improve the statistical
empirical model. Finally, the possible sources of errors for this approach are examined. |
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