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          Institute: MPI für Meteorologie     Collection: Climate Processes     Display Documents

ID: 174031.0, MPI für Meteorologie / Climate Processes
Aerosol lidar intercomparison in the framework of the EARLINET project. 2. Aerosol backscatter algorithms
Authors:Böckmann, C.; Wandinger, U.; Ansmann, A.; Bösenberg, Jens; Amiridis, V.; Boselli, A.; Delaval, A.; De Tomasi, F.; Frioud, M.; Grigorov, I. V.; Hagard, A.; Horvat, M.; Iarlori, M.; Komguem, L.; Kreipl, S.; Larchevque, G.; Matthias, Volker; Papayannis, A.; Pappalardo, G.; Rocadenbosch, F.; Rodrigues, J. A.; Schneider, J.; Shcherbakov, V.; Wiegner, M.
Date of Publication (YYYY-MM-DD):2004-02-01
Title of Journal:Applied Optics
Journal Abbrev.:Appl. Optics
Issue / Number:4
Start Page:977
End Page:989
Review Status:Peer-review
Audience:Not Specified
Abstract / Description:An intercomparison of aerosol backscatter lidar algorithms was performed in 2001 within the framework of the European Aerosol Research Lidar Network to Establish an Aerosol Climatology (EARLINET). The objective of this research was to test the correctness of the algorithms and the influence of the lidar ratio used by the various lidar teams involved in the EARLINET for calculation of backscatter-coefficient profiles from the lidar signals. The exercise consisted of processing synthetic lidar signals of various degrees of difficulty. One of these profiles contained height-dependent lidar ratios to test the vertical influence of those profiles on the various retrieval algorithms. Furthermore, a realistic incomplete overlap of laser beam and receiver field of view was introduced to remind the teams to take great care in the nearest range to the lidar. The intercomparison was performed in three stages with increasing knowledge on the input parameters. First, only the lidar signals were distributed; this is the most realistic stage. Afterward the lidar ratio profiles and the reference values at calibration height were provided. The unknown height-dependent lidar ratio had the largest influence on the retrieval, whereas the unknown reference value was of minor importance. These results show the necessity of making additional independent measurements, which can provide us with a suitable approximation of the lidar ratio. The final stage proves in general, that the data evaluation schemes of the different groups of lidar systems work well. (C) 2004 Optical Society of America
External Publication Status:published
Document Type:Article
Affiliations:MPI für Meteorologie/Climate Processes/Active Remote Sensing
External Affiliations:Univ Potsdam, Math Inst, D-14469 Potsdam, Germany.; Inst Tropospher Res, D-04303 Leipzig, Germany.; Aristotle Univ Thessaloniki, Lab Atmospher Phys, Thessaloniki 54124, Greece.; Ist Nazl Fis Mat, I-80126 Naples, Italy.; Inst Pierre Simone Laplace, Meteorol Dynam Lab, F-91128 Palaiseau, France.; Univ Lecce, Dipartimento Fis, Ist Nazl Fis Mat, I-73100 Lecce, Italy.; Observ Neuchatel, CH-2000 Neuchatel, Switzerland.; Bulgarian Acad Sci, Inst Elect, BU-1784 Sofia, Bulgaria.; Swedish Def Res Agcy, Div Sensor Technol, S-58111 Linkoping, Sweden.; Nova Gorica Polytech, Lab Astroparticle Phys, Nova Gorica 5001, Slovenia.; Univ Aquila, Dept Fis, I-67010 Coppito, Italy.; Univ Wales, Aberystwyth SY23 3BZ, Ceredigion, Wales.; Forschungszentrum Karlsruhe, Inst Meteorol & Klimaforsch, D-82467 Garmisch Partenkirchen, Germany.; Ecole Polytech Fed Lausanne, Lab Pollut Air & Sol, CH-1015 Lausanne, Switzerland.; Natl Tech Univ Athens, Dept Phys, Zografos 15780, Greece.; CNR, Ist Metodol Anal Ambientale, I-85050 Tito, Potenza, Italy.; Univ Politecn Catalunya, Dept Signal Theory & Commun, ES-08034 Barcelona, Spain.; Inst Super Tecn, Ctr Fis Plasmas, P-1049001 Lisbon, Portugal.; Leibniz Inst Atmospharenphys, D-18225 Kuhlungsborn, Germany.; Natl Acad Sci Belarus, Inst Phys, Minsk 220072, Byelarus.; Univ Munich, Inst Meteorol, D-80333 Munich, Germany.
Identifiers:ISI:000188510900034 [ID No:1]
ISSN:0003-6935 [ID No:2]
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