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| Titel |
Simulation study of the aerosol information content in OMI spectral reflectance measurements |
| VerfasserIn |
B. Veihelmann, P. F. Levelt, P. Stammes, J. P. Veefkind |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 7, no. 12 ; Nr. 7, no. 12 (2007-06-18), S.3115-3127 |
| Datensatznummer |
250005083
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| Publikation (Nr.) |
 copernicus.org/acp-7-3115-2007.pdf |
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| Zusammenfassung |
| The Ozone Monitoring Instrument (OMI) is an imaging UV-VIS solar backscatter
spectrometer and is designed and used primarily to retrieve trace gases like
O3 and NO2 from the measured Earth reflectance spectrum in the
UV-visible (270–500 nm). However, also aerosols are an important science
target of OMI. The multi-wavelength algorithm is used to retrieve aerosol
parameters from OMI spectral reflectance measurements in up to 20 wavelength
bands. A Principal Component Analysis (PCA) is performed to quantify the
information content of OMI reflectance measurements on aerosols and to
assess the capability of the multi-wavelength algorithm to discern various
aerosol types. This analysis is applied to synthetic reflectance
measurements for desert dust, biomass burning aerosols, and weakly absorbing
anthropogenic aerosol with a variety of aerosol optical thicknesses, aerosol
layer altitudes, refractive indices and size distributions. The range of
aerosol parameters considered covers the natural variability of tropospheric
aerosols. This theoretical analysis is performed for a large number of
scenarios with various geometries and surface albedo spectra for ocean, soil
and vegetation. When the surface albedo spectrum is accurately known and
clouds are absent, OMI reflectance measurements have 2 to 4 degrees of
freedom that can be attributed to aerosol parameters. This information
content depends on the observation geometry and the surface albedo spectrum. An additional wavelength band is
evaluated, that comprises the O2-O2 absorption band at a
wavelength of 477 nm. It is found that this wavelength band adds
significantly more information than any other individual band. |
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