Algorithm for vertical distribution of boundary layer aerosol components in remote-sensing data
Abstract = + = R = ∼ 0.5. Besides, the uncertainties caused by the input parameters (i.e., relative humidity (RH), volume concentration, and extinction coefficients) were assessed using the Monte Carlo method. The AN and AW had smaller uncertainties at higher RH. Herein, the proposed algorithm was also applied to remote-sensing measurements in Beijing with two typical cases. In the clean condition with low RH, there were comparable AN and WIOM, but peaking at different altitudes. On the other hand, in the polluted case, AN was dominant and the maximum mass concentration occurred near the surface. We expected that the algorithm could provide a new idea for lidar inversion and promote the development of aerosol component profiles.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Algorithm for vertical distribution of boundary layer aerosol components in remote-sensing data ; volume:15 ; number:20 ; year:2022 ; pages:6127-6144 ; extent:18
Atmospheric measurement techniques ; 15, Heft 20 (2022), 6127-6144 (gesamt 18)
- Urheber
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Wang, Futing
Yang, Ting
Wang, Zifa
Wang, Haibo
Chen, Xi
Sun, Yele
Li, Jianjun
Tang, Guigang
Chai, Wenxuan
- DOI
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10.5194/amt-15-6127-2022
- URN
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urn:nbn:de:101:1-2022102705205497779656
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:23 MESZ
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Beteiligte
- Wang, Futing
- Yang, Ting
- Wang, Zifa
- Wang, Haibo
- Chen, Xi
- Sun, Yele
- Li, Jianjun
- Tang, Guigang
- Chai, Wenxuan
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