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Satellite Aerosol Remote Sensing over Land pp 193–225Cite as

Oxford-RAL Aerosol and Cloud (ORAC): aerosol retrievals from satellite radiometers

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Abstract

This chapter describes an optimal estimation retrieval scheme for the derivation of the properties of atmospheric aerosol from top-of-atmosphere (TOA) radiances measured by satellite-borne visible-IR radiometers. The algorithm makes up part of the Oxford-RAL Aerosol and Cloud (ORAC) retrieval scheme (the other part of the algorithm performs cloud retrievals and is described in detail elsewhere [by Watts et al.] [37]).

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Author information

Authors and Affiliations

  1. Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, OX1 3PU, UK

    Gareth E. Thomas, Elisa Carboni, Andrew M. Sayer & Roy G. Grainger

  2. Space Science and Technology metsat.int, Rutherford Appleton Laboratory Chilton, Didcot, OX11 0QX, UK

    Caroline A. Poulsen

  3. Space Science and Technology Department, Rutherford Appleton Laboratory Chilton, Didcot, OX11 0QX, UK

    Richard Siddans

Authors
  1. Gareth E. Thomas
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  2. Elisa Carboni
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  3. Andrew M. Sayer
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  4. Caroline A. Poulsen
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  5. Richard Siddans
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  6. Roy G. Grainger
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Editor information

Editors and Affiliations

  1. Institute of Environmental Physics, University of Bremen, Germany

    Alexander A. Kokhanovsky

  2. Finnish Meteorological Institute, University of Helsinki, Finland

    Gerrit de Leeuw

  3. TNO, Utrecht, The Netherlands

    Gerrit de Leeuw

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© 2009 Praxis Publishing Ltd, Chichester, UK

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Thomas, G.E., Carboni, E., Sayer, A.M., Poulsen, C.A., Siddans, R., Grainger, R.G. (2009). Oxford-RAL Aerosol and Cloud (ORAC): aerosol retrievals from satellite radiometers. In: Kokhanovsky, A.A., de Leeuw, G. (eds) Satellite Aerosol Remote Sensing over Land. Springer Praxis Books. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69397-0_7

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