Remote Sensing Applications and Decision Support

Observation of aerosol–cloud interaction over New York City using synergetic ground-based remote sensing systems

[+] Author Affiliations
Zaw Han, Yonghua Wu, Sam Lightstone, Barry Gross

The City University of City College of New York, NOAA-CREST, Electrical Engineering Department, 138th Street and Convent Avenue, New York, New York 10031, United States

City College of New York, Optical Remote Sensing Laboratory, 138th Street and Convent Avenue, New York, New York 10031, United States

J. Appl. Remote Sens. 10(1), 016023 (Mar 11, 2016). doi:10.1117/1.JRS.10.016023
History: Received June 9, 2015; Accepted February 19, 2016
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Abstract.  Using UV Raman Lidar for aerosol extinction (αext), and combining microwave radiometer-derived liquid water path (LWP) with multifilter rotating shadowband radiometer-derived cloud optical depth (τcod) to retrieve cloud droplet effective radius (Reff), we observe clear signatures of the Twomey aerosol indirect effect (IE) under certain specialized conditions. The aerosol–cloud index (ACI) or IE slope relating cloud droplet radius to aerosol loading is calculated and shown to be quantitatively consistent with theoretical constraints. To demonstrate consistency, we use both a neural network multiband (default) approach and a dual-channel (DC) approach for the LWP and observe that the DC approach is generally more robust with more successful retrievals leading to a reduction of error in our regression analysis. We also perform an uncertainty analysis of the IE regression slope taking into account the major sources of error in cloud property retrieval and demonstrate that only sufficiently high values of the IE slope should be observable. Finally, based on the results of multiple cases, we observe the importance of vertical wind uptake on the IE signature.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Topics

Aerosols ; LIDAR

Citation

Zaw Han ; Yonghua Wu ; Sam Lightstone and Barry Gross
"Observation of aerosol–cloud interaction over New York City using synergetic ground-based remote sensing systems", J. Appl. Remote Sens. 10(1), 016023 (Mar 11, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.016023


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