How well do aerosol retrievals from satellites and representation in global circulation models match groundbased Aeronet aerosol statistics

S. KINNE1, B. HOLBEN2, T. ECK3, A. SMIRNOV4, O. DUBOVIK4, I. SLUTSKER4, D. TANRE5, G. ZIBOZDI6, U. LOHMANN7, S. GHAN8, R. EASTER8, M. CHIN9, P. GINOUX2, T. TAKEMURA10, I. TEGEN11, D. KOCH12, R. KAHN13, E. VERMOTE14, L. STOWE15, O. TORRES1, M. MISHCHENKO12, I. GEOGDZHAYEV12 and A. HIRAGUSHI16 'UMBC-JCET / NASA-Goddard 2NASA-Goddard

3Raytheon Corp. /NASA-Goddard 4SSAI / NASA-Goddard 5University of Lille, France 6JRC, Ispra, Italy Dalhousie University, Canada 8Batelle-PNNL 9 GIT/NASA-Goddard "'University of Tokyo, Japan "MPI Jena, Germany '2NASA-GISS I3NASA-JPL

'4University of Maryland / NASA-Goddard I5NOAA / NESDIS '6NIES Tsukuba, Japan

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

M. Beniston andM.M. Verstraete (eds.),

Remote Sensing and Climate Modeling: Synergies and Limitations, 103-158. © 2001 Kluwer Academic Publishers. Printed in the Netherlands.

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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