Title
CALIOP Aerosol Subset Processing for Global Aerosol Transport Model Data Assimilation
Abstract
A system for processing Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) satellite-based 0.532 and 1.064 elastic and polarization lidar datasets for global aerosol transport model assimilation is described. A method for constructing one-degree along-track and cloud-free signal composite averages, consistent with Navy Aerosol Analysis and Prediction System (NAAPS) model gridding, using CALIOP Level 1B attenuated backscatter and Level 2 cloud boundary-height products is outlined. Optimal vertical resolutions and relative signal uncertainties for the composite signal averages are described for both day and nighttime measurement scenarios. Depolarization profiles are described for the 0.532 channel as well as attenuated color ratio profiles using 0.532 and 1.064 attenuated backscatter measurements. Constrained by NAAPS model aerosol optical depths, processed attenuated backscatter profiles are inverted to solve for extinction and backscatter coefficients, their ratio, and extinction coefficient profiles which serve as the basis for data assimilation.
Year
DOI
Venue
2010
10.1109/JSTARS.2010.2044868
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Keywords
Field
DocType
aerosols,atmospheric optics,atmospheric techniques,clouds,data assimilation,optical radar,remote sensing by laser beam,CALIOP Level 1B attenuated backscatter,CALIOP aerosol subset processing,Cloud-Aerosol Lidar with Orthogonal Polarization,Level 2 cloud boundary-height products,Navy Aerosol Analysis and Prediction System,aerosol optical depths,attenuated backscatter measurements,attenuated color ratio profiles,backscatter coefficients,cloud-free signal composite averages,data assimilation,depolarization profiles,extinction coefficient profiles,global aerosol transport model,laser radar,optimal vertical resolutions,polarization lidar datasets,relative signal uncertainties,satellite applications,Aerosols,laser radar,modeling,satellite applications
Atmospheric optics,Satellite,Orthogonal polarization spectral imaging,Remote sensing,Backscatter,Aerosol,Polarization (waves),Atmospheric sciences,Lidar,Data assimilation,Mathematics
Journal
Volume
Issue
ISSN
3
2
1939-1404
Citations 
PageRank 
References 
1
0.77
0
Authors
6