University of Hertfordshire

From the same journal

By the same authors

Documents

View graph of relations
Original languageEnglish
Pages (from-to)9850-9865
Number of pages17
JournalApplied Optics
Volume55
Issue34
Early online date14 Sep 2016
DOIs
Publication statusPublished - 30 Nov 2016

Abstract

We developed a mathematical scheme that allows us to improve retrieval products obtained from the inversion of multiwavelength Raman/HSRL lidar data, commonly dubbed “3 backscatter 2 extinction” (3β 2α) lidar. This scheme works independently of the automated inversion method that is currently being developed in the framework of the Aerosol-Cloud-Ecosystem (ACE) mission and which is successfully applied since 2012 [1] to data collected with the first airborne multiwavelength 3β + 2α HSRL developed at NASA Langley Research Center. The mathematical scheme uses gradient correlation relationships we presented in part 1 of 19 our study in which we investigated lidar data products and particle microphysical parameters from one and the same set of optical lidar profiles. For an accurate assessment of regression coefficients that are used in the correlation relationships we specially designed the proximate analysis method that allows us to search for a first-estimate solution space of particle microphysical parameters on the basis of a look-up table. The scheme works for any shape of particle size distribution. Simulation studies demonstrate a significant stabilization of the various solution spaces of the investigated aerosol microphysical data products if we apply this gradient correlation method in our traditional regularization technique. Surface-area concentration can be estimated with an uncertainty that is not worse than the measurement error of the underlying extinction coefficients. The retrieval uncertainty of the effective radius is as large as 0.07 μm for fine mode particles and approximately 100% for particle size distributions composed of fine (submicron) and coarse (supermicron) mode particles. The volume concentration uncertainty is defined by the sum of the uncertainty of surface-area concentration and the uncertainty of the effective radius. The uncertainty of number concentration is better than 100% for any radius domain between 0.03 and 10 μm. For monomodal PSDs, the uncertainties of the real and imaginary parts of the CRI can be restricted to 0.1 and 0.01 on the domains [1.3; 1.8] and [0; 0.1], respectively.

Notes

Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. The version of record, © 2016 Optical Society of America, Alexei Kolgotin, Detlef Müller, Eduard Chemyakin, and Anton Romanov, "Improved identification of the solution space of aerosol microphysical properties derived from the inversion of profiles of lidar optical data, part 2: Simulations with synthetic optical data" Appl. Opt. 55(34): 9850-9865, first published September 14, 2016, is available via DOI: http://dx.doi.org/10.1364/AO.55.009850

ID: 10608369