Atmospheric Measurement Techniques (Mar 2016)
Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: development and distribution in EARLINET
- A. Chaikovsky,
- O. Dubovik,
- B. Holben,
- A. Bril,
- P. Goloub,
- D. Tanré,
- G. Pappalardo,
- U. Wandinger,
- L. Chaikovskaya,
- S. Denisov,
- J. Grudo,
- A. Lopatin,
- Y. Karol,
- T. Lapyonok,
- V. Amiridis,
- A. Ansmann,
- A. Apituley,
- L. Allados-Arboledas,
- I. Binietoglou,
- A. Boselli,
- G. D'Amico,
- V. Freudenthaler,
- D. Giles,
- M. J. Granados-Muñoz,
- P. Kokkalis,
- D. Nicolae,
- S. Oshchepkov,
- A. Papayannis,
- M. R. Perrone,
- A. Pietruczuk,
- F. Rocadenbosch,
- M. Sicard,
- I. Slutsker,
- C. Talianu,
- F. De Tomasi,
- A. Tsekeri,
- J. Wagner,
- X. Wang
Affiliations
- A. Chaikovsky
- Institute of Physics, NAS of Belarus, Minsk, 220072, Belarus
- O. Dubovik
- LOA, Universite de Lille, Lille, 59650, France
- B. Holben
- NASA Goddard Spaceflight Center, Greenbelt, MA 20771, USA
- A. Bril
- Institute of Physics, NAS of Belarus, Minsk, 220072, Belarus
- P. Goloub
- LOA, Universite de Lille, Lille, 59650, France
- D. Tanré
- LOA, Universite de Lille, Lille, 59650, France
- G. Pappalardo
- Consiglio Nazionale delle Ricerche – Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), Potenza, 85050, Italy
- U. Wandinger
- Leibniz Institute for Tropospheric Research, Leipzig, 04318, Germany
- L. Chaikovskaya
- Institute of Physics, NAS of Belarus, Minsk, 220072, Belarus
- S. Denisov
- Institute of Physics, NAS of Belarus, Minsk, 220072, Belarus
- J. Grudo
- Institute of Physics, NAS of Belarus, Minsk, 220072, Belarus
- A. Lopatin
- Institute of Physics, NAS of Belarus, Minsk, 220072, Belarus
- Y. Karol
- Institute of Physics, NAS of Belarus, Minsk, 220072, Belarus
- T. Lapyonok
- LOA, Universite de Lille, Lille, 59650, France
- V. Amiridis
- Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, 15236, Greece
- A. Ansmann
- Leibniz Institute for Tropospheric Research, Leipzig, 04318, Germany
- A. Apituley
- KNMI – Royal Netherlands Meteorological Institute, De Bilt, 3731, the Netherlands
- L. Allados-Arboledas
- Andalusian Institute for Earth System Research (IISTA-CEAMA), University of Granada, Autonomous Government of Andalusia, Granada, 18071, Spain
- I. Binietoglou
- National Institute of R&D for Optoelectronics, Magurele, 77125, Romania
- A. Boselli
- Consorzio Nazionale Interuniversitario per le Scienze Fisiche della Materia, Naples, 80138, Italy
- G. D'Amico
- Consiglio Nazionale delle Ricerche – Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), Potenza, 85050, Italy
- V. Freudenthaler
- Ludwig-Maximilians Universität, Meteorological Institute, München, 80539, Germany
- D. Giles
- NASA Goddard Spaceflight Center, Greenbelt, MA 20771, USA
- M. J. Granados-Muñoz
- Andalusian Institute for Earth System Research (IISTA-CEAMA), University of Granada, Autonomous Government of Andalusia, Granada, 18071, Spain
- P. Kokkalis
- Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, 15236, Greece
- D. Nicolae
- National Institute of R&D for Optoelectronics, Magurele, 77125, Romania
- S. Oshchepkov
- Institute of Physics, NAS of Belarus, Minsk, 220072, Belarus
- A. Papayannis
- National Technical University of Athens, Department of Physics, Athens, 15780, Greece
- M. R. Perrone
- Consorzio Nazionale Interuniversitario per le Scienze Fisiche della Materia (CNISM) and Universita' del Salento, Lecce, 73100, Italy
- A. Pietruczuk
- Institute of Geophysics, Polish Academy of Sciences, Warsaw, 01-452, Poland
- F. Rocadenbosch
- Remote Sensing Laboratory (RSLAB), Department of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC)/Institute for Space Studies of Catalonia (IEEC), Barcelona, 08034, Spain
- M. Sicard
- Remote Sensing Laboratory (RSLAB), Department of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC)/Institute for Space Studies of Catalonia (IEEC), Barcelona, 08034, Spain
- I. Slutsker
- NASA Goddard Spaceflight Center, Greenbelt, MA 20771, USA
- C. Talianu
- National Institute of R&D for Optoelectronics, Magurele, 77125, Romania
- F. De Tomasi
- Consorzio Nazionale Interuniversitario per le Scienze Fisiche della Materia (CNISM) and Universita' del Salento, Lecce, 73100, Italy
- A. Tsekeri
- Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, 15236, Greece
- J. Wagner
- Leibniz Institute for Tropospheric Research, Leipzig, 04318, Germany
- X. Wang
- Consorzio Nazionale Interuniversitario per le Scienze Fisiche della Materia, Naples, 80138, Italy
- DOI
- https://doi.org/10.5194/amt-9-1181-2016
- Journal volume & issue
-
Vol. 9,
no. 3
pp. 1181 – 1205
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.