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| Titel |
Exploiting the aerosol weekly cycle footprint with the use of TERRA MODIS 2000-2009 level-3 and level-2 datasets |
| VerfasserIn |
A. K. Georgoulias, K. A. Kourtidis |
| Konferenz |
EGU General Assembly 2010
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 12 (2010) |
| Datensatznummer |
250035095
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| Zusammenfassung |
| During the last years, a significant number of studies on the weekly cycle of several
atmospheric parameters has been published. Concerning the satellite retrieved aerosol optical
properties, only recently, the MODIS level-3 1x1 degree gridded AOD550nm dataset has been
used in conjunction with either ground-based measurements from the AERONET network or
modeling results. These studies have been restricted to either spatially averaged values for an
extended region or temporally averaged values for long periods. Here, the aerosol weekly
cycle footprint for two areas with particular interest is exploited in order to show to what
spatial extent the human activities affect the atmospheric aerosol loading. The first
area of interest, Central Europe [-2.5oW-22.5oE, 42.5oN-55oN], is an area with
a recorded aerosol weekly cycle while the second area, Southern Mediterranean
[17.5oE-37.5oE, 30oN-45oN], consists a crossroad of different kinds of aerosols. The
datasets used here include eight, unified for land and ocean where possible, aerosol
parameters from the 2000-2009 level-3 MODIS TERRA 1x1 degree daily gridded dataset
(MOD08_D3) (AOD550nm for land and ocean, Fine mode ratio550nm for land and ocean,
Aerosol mass concentration for land and Aerosol mass concentration for ocean,
Ångström exponent0.47-0.66μm for land and Ångström exponent0.55-0.86μm for
ocean, Aerosol effective radius550nm for ocean only, Asymmetry factor550nm for
ocean only, Aerosol cloud mask fraction for land and ocean, Cloud condensation
nuclei for ocean only) and the same parameters from the corresponding level-2
10x10 km (at nadir) dataset (MOD04_L2). The two datasets are jointly analyzed in
order to study the spatial extent of the aerosol weekly cycles and the differences
between the two datasets. The statistical significance of the weekly patterns is also
examined, while the calculation of two separate aerosol masks allows for a potential
elimination of the influence of non-urban aerosols (e.g. dust) on these patterns. |
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