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Retrievals of Aerosol Microphysics from Simulations of Spaceborne Multiwavelength Lidar MeasurementsIn support of the Aerosol, Clouds, Ecosystems mission, simulations of a spaceborne multiwavelength lidar are performed based on global model simulations of the atmosphere along a satellite orbit track. The yield for aerosol microphysical inversions is quantified and comparisons are made between the aerosol microphysics inherent in the global model and those inverted from both the model's optical data and the simulated three backscatter and two extinction lidar measurements, which are based on the model's optical data. We find that yield can be significantly increased if inversions based on a reduced optical dataset of three backscatter and one extinction are acceptable. In general, retrieval performance is better for cases where the aerosol fine mode dominates although a lack of sensitivity to particles with sizes less than 0.1 microns is found. Lack of sensitivity to coarse mode cases is also found, in agreement with earlier studies. Surface area is generally the most robustly retrieved quantity. The work here points toward the need for ancillary data to aid in the constraints of the lidar inversions and also for joint inversions involving lidar and polarimeter measurements.
Document ID
Document Type
Reprint (Version printed in journal)
Whiteman, David N.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Perez-Ramírez, Daniel
(Granada Univ. Spain)
Veselovskii, Igor
(Maryland Univ. Baltimore County Baltimore, MD, United States)
Colarco, Peter
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Buchard, Virginie
(Universities Space Research Association Columbia, MD, United States)
Date Acquired
May 16, 2018
Publication Date
September 23, 2017
Publication Information
Publication: Journal of Quantitative Spectroscopy and Radiative Transfer
Volume: 205
ISSN: 0022-4073
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
Funding Number(s)
Distribution Limits
remote sensing
observing system simulation experiment
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