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How well do aerosol retrievals from satellites and representation in global circulation models match ground-based AERONET aerosol statistics?

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Book cover Remote Sensing and Climate Modeling: Synergies and Limitations

Part of the book series: Advances in Global Change Research ((AGLO,volume 7))

Abstract

Statistics from sky/sunphotometers at AERONET sites throughout the world provide the background for a comparison of monthly or seasonally averaged aerosol optical depths to retrievals by operational satellites and to representations in global models. Available data-sets, however, rarely relate to the same year(s). With strong year-to-year variations even for monthly averaged aerosol optical depths and open issues on sampling biases and regional representation by local measurements only larger discrepancies are investigated.

Aerosol optical depths retrievals of five different satellites and five different global models are compared. Quantitative accurate satellite retrievals over land remain a challenge and even their relative difference cannot provide clear answers on regional representation. Model predicted aerosol optical depth averages are usually smaller than AERONET. The behavior of models is further explored on a component basis. For sulfate, dust, carbon and sea-salt optical depths, mass and assumed aerosol sizes are compared. For the conversion of the column (dry) component mass in optical depth in models, assumptions for component aerosol size and aerosol humidification are critical.

Statistical comparisons to ground-based monitoring will be more useful, if temporal differences are removed. This requires data from the same time-period and the use of sampling screens, to accommodate less frequent measurements. For the understanding of regional representation by local measurements, satellite data play a key role. Necessities to validate critical aerosol assumptions in models or satellite retrievals require field- experiments that focus on individual aerosol components plus continued and additional monitoring (e.g. AERONET) at sites, where a particular aerosol component dominates.

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Author information

Authors and Affiliations

  1. UMBC-JCET / NASA-Goddard, USA

    S. Kinne & O. Torres

  2. NASA-Goddard, USA

    B. Holben & P. Ginoux

  3. Raytheon Corp. / NASA-Goddard, USA

    T. Eck

  4. SSAI / NASA-Goddard, USA

    A. Smirnov, O. Dubovik & I. Slutsker

  5. University of Lille, France

    D. Tanre

  6. JRC, Ispra, Italy

    G. Zibozdi

  7. Dalhousie University, Canada

    U. Lohmann

  8. Batelle-PNNL, USA

    S. Ghan & R. Easter

  9. GIT / NASA-Goddard, USA

    M. Chin

  10. University of Tokyo, Japan

    T. Takemura

  11. MPI Jena, Germany

    I. Tegen

  12. NASA-GISS, USA

    D. Koch, M. Mishchenko & I. Geogdzhayev

  13. NASA-JPL, USA

    R. Kahn

  14. University of Maryland / NASA-Goddard, USA

    E. Vermote

  15. NOAA / NESDIS, USA

    L. Stowe

  16. NIES Tsukuba, Japan

    A. Hiragushi

Authors
  1. S. Kinne
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  2. B. Holben
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  3. T. Eck
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  4. A. Smirnov
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  5. O. Dubovik
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  6. I. Slutsker
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  7. D. Tanre
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  8. G. Zibozdi
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  9. U. Lohmann
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  10. S. Ghan
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  11. R. Easter
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  12. M. Chin
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  13. P. Ginoux
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  14. T. Takemura
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  15. I. Tegen
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  16. D. Koch
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  17. R. Kahn
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  18. E. Vermote
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  19. L. Stowe
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  20. O. Torres
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  21. M. Mishchenko
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  22. I. Geogdzhayev
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  23. A. Hiragushi
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Editor information

Editors and Affiliations

  1. Department of Geography, University of Fribourg, Switzerland

    Martin Beniston

  2. Space Applications Institute, Joint Research Centre, Ispra (VA), Italy

    Michel M. Verstraete

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© 2001 Kluwer Academic Publishers

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Kinne, S. et al. (2001). How well do aerosol retrievals from satellites and representation in global circulation models match ground-based AERONET aerosol statistics?. In: Beniston, M., Verstraete, M.M. (eds) Remote Sensing and Climate Modeling: Synergies and Limitations. Advances in Global Change Research, vol 7. Springer, Dordrecht. https://doi.org/10.1007/0-306-48149-9_6

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  • DOI: https://doi.org/10.1007/0-306-48149-9_6

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5648-1

  • Online ISBN: 978-0-306-48149-9

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