Atmospheric Measurement Techniques Discussions www.atmos-meas-tech-discuss.net 1867-8610 2 6 2009 10.5194/amtd-2-3369-2009 http://www.atmos-meas-tech-discuss.net/2/3369/2009/ http://www.atmos-meas-tech-discuss.net/2/3369/2009/amtd-2-3369-2009.html http://www.atmos-meas-tech-discuss.net/2/3369/2009/amtd-2-3369-2009.pdf 3369 3439 2009-12-22 The inter-comparison of major satellite aerosol retrieval algorithms using simulated intensity and polarization characteristics of reflected light A. A. Kokhanovsky J. L. Deuzé D. J. Diner O. Dubovik F. Ducos C. Emde M. J. Garay R. G. Grainger A. Heckel M. Herman I. L. Katsev J. Keller R. Levy P. R. J. North A. S. Prikhach V. V. Rozanov A. M. Sayer Y. Ota D. Tanré G. E. Thomas E. P. Zege Institute of Environmental Physics, University of Bremen, O. Hahn Allee 1, 28334 Bremen, Germany Laboratoire d'Optique Atmosphérique, UMR CNRS 8518, Bat. P5, Université Lille 1, 59655 – Villeneuve d'Ascq cedex, France Jet Propulsion Laboratory, California Institute of Technology, MS 169-237, 4800 Oak Grove Drive, Pasadena, CA 91109, USA Deutsches Zentrum für Luft- und Raumfahrt (DLR), Münchner Straße 20, 82234 Weßling, Gemany Raytheon Intelligence and Information Systems, 299 N. Euclid Ave., Suite 500, Pasadena, CA 91101, USA Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford, OX1 3PU, UK School of the Environment and Society, Swansea University, Singleton Park, Swansea, SA2 8PP, UK Institute of Physics, National Academy of Sciences of Belarus, Pr. Nezavisimosti 68, 220072, Minsk, Belarus Paul Scherrer Institute, Laboratory of Atmospheric Chemistry (LAC), 5232 Villigen PSI, Switzerland SSAI, 10210 Greenbelt Road, Suite 600, Lanham, MD 20706, USA National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Japan Remote sensing of aerosol from space is a challenging and typically underdetermined retrieval task, requiring many assumptions to be made with respect to the aerosol and surface models. Therefore, the quality of a priori information plays a central role in any retrieval process (apart from the cloud screening procedure and the forward radiative transfer model, which to be most accurate should include the treatment of light polarization and molecular-aerosol coupling). In this paper the performance of various algorithms with respect to the of spectral aerosol optical thickness determination from optical spaceborne measurements is studied. 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