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

Zaw Han; Yonghua Wu; Sam Lightstone; Barry Gross

doi:10.1117/1.JRS.10.016023

11 March 2016 Observation of aerosol–cloud interaction over New York City using synergetic ground-based remote sensing systems

Zaw Han, Yonghua Wu, Sam Lightstone, Barry Gross

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 10, Issue 1, 016023 (March 2016). https://doi.org/10.1117/1.JRS.10.016023

Abstract

Using UV Raman Lidar for aerosol extinction (α_ext), and combining microwave radiometer-derived liquid water path (LWP) with multifilter rotating shadowband radiometer-derived cloud optical depth (τ_cod) to retrieve cloud droplet effective radius (R_eff), 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.

Citation Download 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," Journal of Applied Remote Sensing 10(1), 016023 (11 March 2016). https://doi.org/10.1117/1.JRS.10.016023

Published: 11 March 2016

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available