Kinne et al. 2001

Kinne, S., B.N. Holben, T.F. Eck, A. Smirnov, O. Dubovik, I. Slutsker, D. Tanre, G. Zibozdi, U. Lohmann, S. Ghan, R. Easter, M. Chin, P. Ginoux, T. Takemura, I. Tegen, D. Koch, R. Kahn, E. Vermote, L. Stowe, O. Torres, M. Mishchenko, I. Geogdzhayev, and A. Hiragushi, 2001: How well do aerosol retrievals from satellites and representation in global circulation models match ground-based AERONET aerosol statistics? In Remote Sensing and Climate Modeling: Synergies and Limitations. M. Beniston and M.M. Verstraete, Eds., Advances in Global Change Research, vol. 7. Kluwer Academic, pp. 103-158.

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 usuaully smaller than AERONET. The behavior of models is further explroed 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 humidifcation 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 accomodate 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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Kinne, S., Holben, B.N., Eck, T.F., Smirnov, A., Dubovik, O., Slutsker, I., Tanre, D., Zibozdi, G., Lohmann, U., Ghan, S., Easter, R., Chin, M., Ginoux, P., Takemura, T., Tegen, I., Koch, D., Kahn, R., Vermote, E., Stowe, L., Torres, O., Mishchenko, M., Geogdzhayev, I., and Hiragushi, A.: How well do aerosol retrievals from satellites and representation in global circulation models match ground-based AERONET aerosol statistics? in: Remote Sensing and Climate Modeling: Synergies and Limitations, edited by Beniston, M., and Verstraete, M.M., Advances in Global Change Research, vol. 7, 103-158, Kluwer Academic, Dordrecht, Netherlands, 2001.

Kinne, S., B.N. Holben, T.F. Eck, A. Smirnov, O. Dubovik, I. Slutsker, D. Tanre, G. Zibozdi, U. Lohmann, S. Ghan, R. Easter, M. Chin, P. Ginoux, T. Takemura, I. Tegen, D. Koch, R. Kahn, E. Vermote, L. Stowe, O. Torres, M. Mishchenko, I. Geogdzhayev, and A. Hiragushi (2001), How well do aerosol retrievals from satellites and representation in global circulation models match ground-based AERONET aerosol statistics? in Remote Sensing and Climate Modeling: Synergies and Limitations, Advances in Global Change Research, vol. 7, edited by M. Beniston and M.M. Verstraete, pp. 103-158, Kluwer Academic, Dordrecht, Netherlands.

Kinne, S., B.N. Holben, T.F. Eck, A. Smirnov, O. Dubovik, I. Slutsker, D. Tanre, G. Zibozdi, U. Lohmann, S. Ghan, R. Easter, M. Chin, P. Ginoux, T. Takemura, I. Tegen, D. Koch, R. Kahn, E. Vermote, L. Stowe, O. Torres, M. Mishchenko, I. Geogdzhayev, and A. Hiragushi, 2001: How well do aerosol retrievals from satellites and representation in global circulation models match ground-based AERONET aerosol statistics? In Remote Sensing and Climate Modeling: Synergies and Limitations. M. Beniston and M.M. Verstraete, Eds., Advances in Global Change Research, vol. 7. Kluwer Academic, pp. 103-158.

Kinne, S., et al. 2001, in Remote Sensing and Climate Modeling: Synergies and Limitations, ed. Beniston, M., & Verstraete, M.M., Advances in Global Change Research, vol. 7, 103 (Dordrecht, Netherlands: Kluwer Academic).

Kinne S, Holben BN, Eck TF, Smirnov A, Dubovik O, Slutsker I, Tanre D, Zibozdi G, Lohmann U, Ghan S, Easter R, Chin M, Ginoux P, Takemura T, Tegen I, Koch D, Kahn R, Vermote E, Stowe L, Torres O, Mishchenko M, Geogdzhayev I, Hiragushi A. How well do aerosol retrievals from satellites and representation in global circulation models match ground-based AERONET aerosol statistics? In: Beniston M, Verstraete MM, editors. Remote Sensing and Climate Modeling: Synergies and Limitations, Advances in Global Change Research, vol. 7, pp. 103-158. Dordrecht, Netherlands: Kluwer Academic; 2001.

S. Kinne, B.N. Holben, T.F. Eck, A. Smirnov, O. Dubovik, I. Slutsker, D. Tanre, G. Zibozdi, U. Lohmann, S. Ghan, R. Easter, M. Chin, P. Ginoux, T. Takemura, I. Tegen, D. Koch, R. Kahn, E. Vermote, L. Stowe, O. Torres, M. Mishchenko, I. Geogdzhayev, A. Hiragushi, In Remote Sensing and Climate Modeling: Synergies and Limitations, M. Beniston, M.M. Verstraete, Eds. (Advances in Global Change Research, vol.7, Kluwer Academic, Dordrecht, Netherlands, 2001), pp. 103-158.