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Titel |
Separating mixtures of aerosol types in airborne High Spectral Resolution Lidar data |
VerfasserIn |
S. P. Burton, M. A. Vaughan, R. A. Ferrare, C. A. Hostetler |
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 ; 7, no. 2 ; Nr. 7, no. 2 (2014-02-07), S.419-436 |
Datensatznummer |
250115595
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Publikation (Nr.) |
copernicus.org/amt-7-419-2014.pdf |
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Zusammenfassung |
Knowledge of aerosol type is important for
determining the magnitude and assessing the consequences of aerosol
radiative forcing, and can provide useful information for source attribution
studies. However, atmospheric aerosol is frequently not a single
pure type, but instead occurs as a mixture of types, and this mixing affects
the optical and radiative properties of the aerosol. This paper extends the
work of earlier researchers by using the aerosol intensive parameters
measured by the NASA Langley Research Center airborne High Spectral
Resolution Lidar (HSRL-1) to develop a comprehensive and unified set of
rules for characterizing the external mixing of several key aerosol
intensive parameters: extinction-to-backscatter ratio (i.e., lidar ratio),
backscatter color ratio, and depolarization ratio. We present the mixing
rules in a particularly simple form that leads easily to mixing rules for
the covariance matrices that describe aerosol distributions, rather than
just single values of measured parameters. These rules can be applied to
infer mixing ratios from the lidar-observed aerosol parameters, even for
cases without significant depolarization. We demonstrate our technique with
measurement curtains from three HSRL-1 flights which exhibit mixing between
two aerosol types, urban pollution plus dust, marine plus dust, and smoke
plus marine. For these cases, we infer a time-height cross-section of
extinction mixing ratio along the flight track, and partition aerosol
extinction into portions attributed to the two pure types. |
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