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Improved identification of the solution space of aerosol microphysical properties derived from the inversion of profiles of lidar optical data, part 3: Case studies. / Kolgotin, Alexei; Mueller, Detlef; Chemyakin, Eduard V.; Romanov, A.; Alehnovich, Valentin.

In: Applied Optics, Vol. 57, No. 10, 27.03.2018, p. 2499-2513.

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@article{77622ee7e08445bda0cac4992d6f896c,
title = "Improved identification of the solution space of aerosol microphysical properties derived from the inversion of profiles of lidar optical data, part 3: Case studies",
abstract = "We conclude our series of publications on the development of the gradient correlation method (GCM) which can be used for an improved stabilization of the solution space of particle microphysical parameters derived from measurements with multiwavelength Raman and High‐Spectral‐Resolution Lidar (3 backscatter + 2 extinction coefficients).We show results of three cases studies. The data were taken with a ground‐based multiwavelength Raman lidar during the Saharan Mineral Dust Experiment (SAMUM) in the Cape Verde Islands (North Atlantic). These cases describe mixtures of dust with smoke. For our data analysis we separated the contribution of smoke to the total signal and only used these optical profiles for the test of GCM. The results show a significant stabilization of the solution space of the particle microphysical parameter retrieval on the particle radius domain from 0.03 μm to 10 μm, the real part of the complex refractive index domain from 1.3 to 1.8 and the imaginary part from 0 to 0.1. This new method will be included in TiARA (Tikhonov Advanced Regularization Algorithm) which is a fully automated, unsupervised algorithm that is used for the analysis of the world‐wide first airborne 3 backscatter + 2 extinction high‐spectral‐resolution lidar developed by NASA Langley Research Center.",
author = "Alexei Kolgotin and Detlef Mueller and Chemyakin, {Eduard V.} and A. Romanov and Valentin Alehnovich",
note = "This is an Open Access article published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License https://creativecommons.org/licenses/by/4.0/. Further distribution of this work must maintain attribution to the author(s) and the published article{\textquoteright}s title, journal citation, and DOI. ",
year = "2018",
month = mar,
day = "27",
doi = "10.1364/AO.57.002499",
language = "English",
volume = "57",
pages = "2499--2513",
journal = "Applied Optics",
issn = "0003-6935",
publisher = "The Optical Society",
number = "10",

}

RIS

TY - JOUR

T1 - Improved identification of the solution space of aerosol microphysical properties derived from the inversion of profiles of lidar optical data, part 3: Case studies

AU - Kolgotin, Alexei

AU - Mueller, Detlef

AU - Chemyakin, Eduard V.

AU - Romanov, A.

AU - Alehnovich, Valentin

N1 - This is an Open Access article published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License https://creativecommons.org/licenses/by/4.0/. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

PY - 2018/3/27

Y1 - 2018/3/27

N2 - We conclude our series of publications on the development of the gradient correlation method (GCM) which can be used for an improved stabilization of the solution space of particle microphysical parameters derived from measurements with multiwavelength Raman and High‐Spectral‐Resolution Lidar (3 backscatter + 2 extinction coefficients).We show results of three cases studies. The data were taken with a ground‐based multiwavelength Raman lidar during the Saharan Mineral Dust Experiment (SAMUM) in the Cape Verde Islands (North Atlantic). These cases describe mixtures of dust with smoke. For our data analysis we separated the contribution of smoke to the total signal and only used these optical profiles for the test of GCM. The results show a significant stabilization of the solution space of the particle microphysical parameter retrieval on the particle radius domain from 0.03 μm to 10 μm, the real part of the complex refractive index domain from 1.3 to 1.8 and the imaginary part from 0 to 0.1. This new method will be included in TiARA (Tikhonov Advanced Regularization Algorithm) which is a fully automated, unsupervised algorithm that is used for the analysis of the world‐wide first airborne 3 backscatter + 2 extinction high‐spectral‐resolution lidar developed by NASA Langley Research Center.

AB - We conclude our series of publications on the development of the gradient correlation method (GCM) which can be used for an improved stabilization of the solution space of particle microphysical parameters derived from measurements with multiwavelength Raman and High‐Spectral‐Resolution Lidar (3 backscatter + 2 extinction coefficients).We show results of three cases studies. The data were taken with a ground‐based multiwavelength Raman lidar during the Saharan Mineral Dust Experiment (SAMUM) in the Cape Verde Islands (North Atlantic). These cases describe mixtures of dust with smoke. For our data analysis we separated the contribution of smoke to the total signal and only used these optical profiles for the test of GCM. The results show a significant stabilization of the solution space of the particle microphysical parameter retrieval on the particle radius domain from 0.03 μm to 10 μm, the real part of the complex refractive index domain from 1.3 to 1.8 and the imaginary part from 0 to 0.1. This new method will be included in TiARA (Tikhonov Advanced Regularization Algorithm) which is a fully automated, unsupervised algorithm that is used for the analysis of the world‐wide first airborne 3 backscatter + 2 extinction high‐spectral‐resolution lidar developed by NASA Langley Research Center.

UR - http://www.scopus.com/inward/record.url?scp=85044835002&partnerID=8YFLogxK

U2 - 10.1364/AO.57.002499

DO - 10.1364/AO.57.002499

M3 - Article

VL - 57

SP - 2499

EP - 2513

JO - Applied Optics

JF - Applied Optics

SN - 0003-6935

IS - 10

ER -