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Lidar-Radiometer Inversion Code (LIRIC) for the Retrieval of Vertical Aerosol Properties from Combined Lidar Radiometer Data: Development and Distribution in EARLINET
External Online Source: doi:10.5194/amtd-8-12759-2015
Author and Affiliation:
Chaikovsky, A.(Institute of Physics, Minsk, Belarus)
Dubovik, O.(Lille Univ., France)
Holben, Brent N.(NASA Goddard Space Flight Center, Greenbelt, MD United States)
Bril, A.(Institute of Physics, Minsk, Belarus)
Goloub, P.(Lille Univ., France)
Tanre, D.(Lille Univ., France)
Pappalardo, G.(Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l’Analisi Ambientale, Potenza, Italy)
Wandinger, U.(Leibniz Inst. for Tropospheric Research, Leipzig, Germany)
Chaikovskaya, L.(Institute of Physics, Minsk, Belarus)
Denisov, S.(Institute of Physics, Minsk, Belarus) Show more authors
Abstract: This paper presents a detailed description of LIRIC (LIdar-Radiometer Inversion Code)algorithm for simultaneous processing of coincident lidar and radiometric (sun photometric) observations for the retrieval of the aerosol concentration vertical profiles. As the lidar radiometric input data we use measurements from European Aerosol Re-search Lidar Network (EARLINET) lidars and collocated sun-photometers of Aerosol Robotic Network (AERONET). The LIRIC data processing provides sequential inversion of the combined lidar and radiometric data by the estimations of column-integrated aerosol parameters from radiometric measurements followed by the retrieval of height-dependent concentrations of fine and coarse aerosols from lidar signals using integrated column characteristics of aerosol layer as a priori constraints. The use of polarized lidar observations allows us to discriminate between spherical and non-spherical particles of the coarse aerosol mode. The LIRIC software package was implemented and tested at a number of EARLINET stations. Inter-comparison of the LIRIC-based aerosol retrievals was performed for the observations by seven EARLNET lidars in Leipzig, Germany on 25 May 2009. We found close agreement between the aerosol parameters derived from different lidars that supports high robustness of the LIRIC algorithm. The sensitivity of the retrieval results to the possible reduction of the available observation data is also discussed.
Publication Date: Dec 07, 2015
Document ID:
(Acquired Apr 20, 2017)
Subject Category: GENERAL
Report/Patent Number: GSFC-E-DAA-TN41272
Document Type: Journal Article
Publication Information: Atmospheric Measurement Techniques; p. 12759–12822; (ISSN 1867-8610 ); Volume 9; No. 3
Publisher Information: AMTD
Contract/Grant/Task Num: NNG15HQ01C
Financial Sponsor: NASA Goddard Space Flight Center; Greenbelt, MD United States
Organization Source: NASA Goddard Space Flight Center; Greenbelt, MD United States
Description: 64p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright
Availability Source: Other Sources
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