Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: Development and distribution in EARLINET

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...

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Main Authors: Chaikovsky, Anatoli, Dubovik, Oleg, Holben, Brent, Bril, Andrey, Goloub, Philippe, Tanré, Didier, Pappalardo, Gelsomina, Wandinger, Ulla, Chaikovskaya, Ludmila, Denisov, Sergey, Grudo, Jan, Lopatin, Anton, Karol, Yana, Lapyonok, Tatsiana, Amiridis, Vassilis, Ansmann, Albert, Apituley, Arnoud, Allados-Arboledas, Lucas, Binietoglou, Ioannis, Boselli, Antonella, D'Amico, Giuseppe, Freudenthaler, Volker, Giles, David, Granados-Muñoz, María José, Kokkalis, Panayotis, Nicolae, Doina, Oshchepkov, Sergey, Papayannis, Alex, Perrone, Maria Rita, Pietruczuk, Alexander, Rocadenbosch, Francesc, Sicard, Michaël, Slutsker, Ilya, Talianu, Camelia, De Tomasi, Ferdinando, Tsekeri, Alexandra, Wagner, Janet, Wang, Xuan
Format: Article in Journal/Newspaper
Language:English
Published: München : European Geopyhsical Union 2016
Subjects:
Online Access:https://oa.tib.eu/renate/handle/123456789/750
https://doi.org/10.34657/1053
id fttibhannoverren:oai:oa.tib.eu:123456789/750
record_format openpolar
spelling fttibhannoverren:oai:oa.tib.eu:123456789/750 2023-07-30T03:55:32+02:00 Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: Development and distribution in EARLINET Chaikovsky, Anatoli Dubovik, Oleg Holben, Brent Bril, Andrey Goloub, Philippe Tanré, Didier Pappalardo, Gelsomina Wandinger, Ulla Chaikovskaya, Ludmila Denisov, Sergey Grudo, Jan Lopatin, Anton Karol, Yana Lapyonok, Tatsiana Amiridis, Vassilis Ansmann, Albert Apituley, Arnoud Allados-Arboledas, Lucas Binietoglou, Ioannis Boselli, Antonella D'Amico, Giuseppe Freudenthaler, Volker Giles, David Granados-Muñoz, María José Kokkalis, Panayotis Nicolae, Doina Oshchepkov, Sergey Papayannis, Alex Perrone, Maria Rita Pietruczuk, Alexander Rocadenbosch, Francesc Sicard, Michaël Slutsker, Ilya Talianu, Camelia De Tomasi, Ferdinando Tsekeri, Alexandra Wagner, Janet Wang, Xuan 2016 application/pdf https://oa.tib.eu/renate/handle/123456789/750 https://doi.org/10.34657/1053 eng eng München : European Geopyhsical Union DOI:https://doi.org/10.5194/amt-9-1181-2016 https://doi.org/10.34657/1053 https://oa.tib.eu/renate/handle/123456789/750 CC BY 3.0 Unported https://creativecommons.org/licenses/by/3.0/ frei zugänglich Atmospheric Measurement Techniques, Volume 9, Issue 3, Page 1181-1205 AERONET aerosol composition algorithm concentration (composition) data processing lidar radiometric method software ddc:550 status-type:publishedVersion doc-type:article doc-type:Text 2016 fttibhannoverren https://doi.org/10.34657/105310.5194/amt-9-1181-2016 2023-07-10T16:19:44Z 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 Research 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. The algorithm starts with 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. Intercomparison of the LIRIC-based aerosol retrievals was performed for the observations by seven EARLINET 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. Article in Journal/Newspaper Aerosol Robotic Network Renate - Repositorium für Naturwissenschaften und Technik (TIB Hannover)
institution Open Polar
collection Renate - Repositorium für Naturwissenschaften und Technik (TIB Hannover)
op_collection_id fttibhannoverren
language English
topic AERONET
aerosol composition
algorithm
concentration (composition)
data processing
lidar
radiometric method
software
ddc:550
spellingShingle AERONET
aerosol composition
algorithm
concentration (composition)
data processing
lidar
radiometric method
software
ddc:550
Chaikovsky, Anatoli
Dubovik, Oleg
Holben, Brent
Bril, Andrey
Goloub, Philippe
Tanré, Didier
Pappalardo, Gelsomina
Wandinger, Ulla
Chaikovskaya, Ludmila
Denisov, Sergey
Grudo, Jan
Lopatin, Anton
Karol, Yana
Lapyonok, Tatsiana
Amiridis, Vassilis
Ansmann, Albert
Apituley, Arnoud
Allados-Arboledas, Lucas
Binietoglou, Ioannis
Boselli, Antonella
D'Amico, Giuseppe
Freudenthaler, Volker
Giles, David
Granados-Muñoz, María José
Kokkalis, Panayotis
Nicolae, Doina
Oshchepkov, Sergey
Papayannis, Alex
Perrone, Maria Rita
Pietruczuk, Alexander
Rocadenbosch, Francesc
Sicard, Michaël
Slutsker, Ilya
Talianu, Camelia
De Tomasi, Ferdinando
Tsekeri, Alexandra
Wagner, Janet
Wang, Xuan
Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: Development and distribution in EARLINET
topic_facet AERONET
aerosol composition
algorithm
concentration (composition)
data processing
lidar
radiometric method
software
ddc:550
description 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 Research 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. The algorithm starts with 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. Intercomparison of the LIRIC-based aerosol retrievals was performed for the observations by seven EARLINET 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.
format Article in Journal/Newspaper
author Chaikovsky, Anatoli
Dubovik, Oleg
Holben, Brent
Bril, Andrey
Goloub, Philippe
Tanré, Didier
Pappalardo, Gelsomina
Wandinger, Ulla
Chaikovskaya, Ludmila
Denisov, Sergey
Grudo, Jan
Lopatin, Anton
Karol, Yana
Lapyonok, Tatsiana
Amiridis, Vassilis
Ansmann, Albert
Apituley, Arnoud
Allados-Arboledas, Lucas
Binietoglou, Ioannis
Boselli, Antonella
D'Amico, Giuseppe
Freudenthaler, Volker
Giles, David
Granados-Muñoz, María José
Kokkalis, Panayotis
Nicolae, Doina
Oshchepkov, Sergey
Papayannis, Alex
Perrone, Maria Rita
Pietruczuk, Alexander
Rocadenbosch, Francesc
Sicard, Michaël
Slutsker, Ilya
Talianu, Camelia
De Tomasi, Ferdinando
Tsekeri, Alexandra
Wagner, Janet
Wang, Xuan
author_facet Chaikovsky, Anatoli
Dubovik, Oleg
Holben, Brent
Bril, Andrey
Goloub, Philippe
Tanré, Didier
Pappalardo, Gelsomina
Wandinger, Ulla
Chaikovskaya, Ludmila
Denisov, Sergey
Grudo, Jan
Lopatin, Anton
Karol, Yana
Lapyonok, Tatsiana
Amiridis, Vassilis
Ansmann, Albert
Apituley, Arnoud
Allados-Arboledas, Lucas
Binietoglou, Ioannis
Boselli, Antonella
D'Amico, Giuseppe
Freudenthaler, Volker
Giles, David
Granados-Muñoz, María José
Kokkalis, Panayotis
Nicolae, Doina
Oshchepkov, Sergey
Papayannis, Alex
Perrone, Maria Rita
Pietruczuk, Alexander
Rocadenbosch, Francesc
Sicard, Michaël
Slutsker, Ilya
Talianu, Camelia
De Tomasi, Ferdinando
Tsekeri, Alexandra
Wagner, Janet
Wang, Xuan
author_sort Chaikovsky, Anatoli
title Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: Development and distribution in EARLINET
title_short Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: Development and distribution in EARLINET
title_full Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: Development and distribution in EARLINET
title_fullStr Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: Development and distribution in EARLINET
title_full_unstemmed Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: Development and distribution in EARLINET
title_sort lidar-radiometer inversion code (liric) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: development and distribution in earlinet
publisher München : European Geopyhsical Union
publishDate 2016
url https://oa.tib.eu/renate/handle/123456789/750
https://doi.org/10.34657/1053
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Atmospheric Measurement Techniques, Volume 9, Issue 3, Page 1181-1205
op_relation DOI:https://doi.org/10.5194/amt-9-1181-2016
https://doi.org/10.34657/1053
https://oa.tib.eu/renate/handle/123456789/750
op_rights CC BY 3.0 Unported
https://creativecommons.org/licenses/by/3.0/
frei zugänglich
op_doi https://doi.org/10.34657/105310.5194/amt-9-1181-2016
_version_ 1772815560824848384