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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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Atmos. Meas. Tech., 9, 1181-1205, 2016
http://www.atmos-meas-tech.net/9/1181/2016/
doi:10.5194/amt-9-1181-2016
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
21 Mar 2016
Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: development and distribution in EARLINET
Anatoli Chaikovsky1, Oleg Dubovik2, Brent Holben3, Andrey Bril1, Philippe Goloub2, Didier Tanré2, Gelsomina Pappalardo4, Ulla Wandinger5, Ludmila Chaikovskaya1, Sergey Denisov1, Jan Grudo1, Anton Lopatin1, Yana Karol1, Tatsiana Lapyonok2, Vassilis Amiridis6, Albert Ansmann5, Arnoud Apituley7, Lucas Allados-Arboledas8, Ioannis Binietoglou9, Antonella Boselli10,4, Giuseppe D'Amico4, Volker Freudenthaler11, David Giles3, María José Granados-Muñoz8, Panayotis Kokkalis6,12, Doina Nicolae9, Sergey Oshchepkov1, Alex Papayannis12, Maria Rita Perrone13, Alexander Pietruczuk14, Francesc Rocadenbosch15, Michaël Sicard15, Ilya Slutsker3, Camelia Talianu9, Ferdinando De Tomasi13, Alexandra Tsekeri6, Janet Wagner5, and Xuan Wang10 1Institute of Physics, NAS of Belarus, Minsk, 220072, Belarus
2LOA, Universite de Lille, Lille, 59650, France
3NASA Goddard Spaceflight Center, Greenbelt, MA 20771, USA
4Consiglio Nazionale delle Ricerche – Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), Potenza, 85050, Italy
5Leibniz Institute for Tropospheric Research, Leipzig, 04318, Germany
6Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, 15236, Greece
7KNMI – Royal Netherlands Meteorological Institute, De Bilt, 3731, the Netherlands
8Andalusian Institute for Earth System Research (IISTA-CEAMA), University of Granada, Autonomous Government of Andalusia, Granada, 18071, Spain
9National Institute of R&D for Optoelectronics, Magurele, 77125, Romania
10Consorzio Nazionale Interuniversitario per le Scienze Fisiche della Materia, Naples, 80138, Italy
11Ludwig-Maximilians Universität, Meteorological Institute, München, 80539, Germany
12National Technical University of Athens, Department of Physics, Athens, 15780, Greece
13Consorzio Nazionale Interuniversitario per le Scienze Fisiche della Materia (CNISM) and Universita' del Salento, Lecce, 73100, Italy
14Institute of Geophysics, Polish Academy of Sciences, Warsaw, 01-452, Poland
15Remote Sensing Laboratory (RSLAB), Department of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC)/Institute for Space Studies of Catalonia (IEEC), Barcelona, 08034, Spain
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 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.


Citation: Chaikovsky, A., Dubovik, O., Holben, B., Bril, A., Goloub, P., Tanré, D., Pappalardo, G., Wandinger, U., Chaikovskaya, L., Denisov, S., Grudo, J., Lopatin, A., Karol, Y., Lapyonok, T., Amiridis, V., Ansmann, A., Apituley, A., Allados-Arboledas, L., Binietoglou, I., Boselli, A., D'Amico, G., Freudenthaler, V., Giles, D., Granados-Muñoz, M. J., Kokkalis, P., Nicolae, D., Oshchepkov, S., Papayannis, A., Perrone, M. R., Pietruczuk, A., Rocadenbosch, F., Sicard, M., Slutsker, I., Talianu, C., De Tomasi, F., Tsekeri, A., Wagner, J., and Wang, X.: Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: development and distribution in EARLINET, Atmos. Meas. Tech., 9, 1181-1205, doi:10.5194/amt-9-1181-2016, 2016.
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This paper presents a detailed description of LIRIC (LIdar-Radiometer Inversion Code) algorithm for simultaneous processing of coincident lidar and radiometric observations for the retrieval of the aerosol concentrations. 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 software package was implemented and tested at a number of EARLINET stations.
This paper presents a detailed description of LIRIC (LIdar-Radiometer Inversion Code) algorithm...
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