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| Titel |
Improvements to the OMI near-UV aerosol algorithm using A-train CALIOP and AIRS observations |
| VerfasserIn |
O. Torres, C. Ahn, Z. Chen |
| 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 ; 6, no. 11 ; Nr. 6, no. 11 (2013-11-27), S.3257-3270 |
| Datensatznummer |
250085118
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| Publikation (Nr.) |
 copernicus.org/amt-6-3257-2013.pdf |
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| Zusammenfassung |
| The height of desert dust and carbonaceous aerosols layers and, to a lesser
extent, the difficulty in determining the predominant size mode of these
absorbing aerosol types, are sources of uncertainty in the retrieval of
aerosol properties from near-UV satellite observations. The availability of
independent, near-simultaneous measurements of aerosol layer height, and
aerosol-type related parameters derived from observations by other A-train
sensors, makes possible the use of this information as input to the OMI
(ozone monitoring instrument) near-UV aerosol retrieval algorithm (OMAERUV).
A monthly climatology of aerosol layer height derived from observations by
the CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) sensor, and
real-time AIRS (Atmospheric Infrared Sounder) carbon monoxide (CO)
observations are used in an upgraded version of the OMAERUV algorithm. AIRS
CO measurements are used as an adequate tracer of carbonaceous aerosols,
which allows the identification of smoke layers in regions and seasons when
the dust-smoke differentiation is difficult in the near-UV. The use of CO
measurements also enables the identification of high levels of boundary layer
pollution undetectable by near-UV observations alone. In this paper we
discuss the combined use of OMI, CALIOP and AIRS observations for the
characterization of aerosol properties, and show an improvement in OMI
aerosol retrieval capabilities. |
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