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| Titel |
Intercomparison of desert dust optical depth from satellite measurements |
| VerfasserIn |
E. Carboni, G. E. Thomas, A. M. Sayer, R. Siddans, C. A. Poulsen, R. G. Grainger, C. Ahn, D. Antoine, S. Bevan, R. Braak, H. Brindley, S. DeSouza-Machado, J. L. Deuzé, D. Diner, F. Ducos, W. Grey, C. Hsu, O. V. Kalashnikova, R. Kahn, P. R. J. North, C. Salustro, A. Smith, D. Tanré, O. Torres, B. Veihelmann |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 5, no. 8 ; Nr. 5, no. 8 (2012-08-17), S.1973-2002 |
| Datensatznummer |
250003051
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| Publikation (Nr.) |
 copernicus.org/amt-5-1973-2012.pdf |
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| Zusammenfassung |
| This work provides a comparison of satellite retrievals of Saharan desert
dust aerosol optical depth (AOD) during a strong dust event through March
2006. In this event, a large dust plume was transported over desert,
vegetated, and ocean surfaces. The aim is to identify the differences between
current datasets. The satellite instruments considered are AATSR, AIRS,
MERIS, MISR, MODIS, OMI, POLDER, and SEVIRI. An interesting aspect is that
the different algorithms make use of different instrument characteristics to
obtain retrievals over bright surfaces. These include multi-angle approaches
(MISR, AATSR), polarisation measurements (POLDER), single-view approaches
using solar wavelengths (OMI, MODIS), and the thermal infrared spectral
region (SEVIRI, AIRS). Differences between instruments, together with the
comparison of different retrieval algorithms applied to measurements from the
same instrument, provide a unique insight into the performance and
characteristics of the various techniques employed. As well as the
intercomparison between different satellite products, the AODs have also been
compared to co-located AERONET data. Despite the fact that the agreement
between satellite and AERONET AODs is reasonably good for all of the
datasets, there are significant differences between them when compared to
each other, especially over land. These differences are partially due to
differences in the algorithms, such as assumptions about aerosol model and
surface properties. However, in this comparison of spatially and temporally
averaged data, it is important to note that differences in sampling, related
to the actual footprint of each instrument on the heterogeneous aerosol
field, cloud identification and the quality control flags of each dataset can
be an important issue. |
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