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The Aerosol Optical Depth (AOD) and Angstrom Coefficient (AC) predictions inthe GISS-TOMAS model of global aerosol microphysics are evaluated againstremote sensing data from MODIS, MISR, and AERONET. The model AOD agrees well(within a factor of two) over polluted continental (or high sulfate), dusty,and moderate sea-salt regions but less well over the equatorial, highsea-salt, and biomass burning regions. Underprediction of sea-salt in theequatorial region is likely due to GCM meteorology (low wind speeds and highprecipitation). For the Southern Ocean, overprediction of AOD is very likelydue to high sea-salt emissions and perhaps aerosol water uptake in themodel. However, uncertainties in cloud screening at high latitudes make itdifficult to evaluate the model AOD there with the satellite-based AOD. AODin biomass burning regions is underpredicted, a tendency found in otherglobal models but more severely here. Using measurements from the LBA-SMOCC2002 campaign, the surface-level OC concentration in the model are found tobe underpredicted severely during the dry season while much less severelyfor EC concentration, suggesting the low AOD in the model is due tounderpredictions in OM mass. The potential for errors in emissions and wetdeposition to contribute to this bias is discussed

Evaluation of aerosol distributions in the GISS-TOMAS global aerosol microphysics model with remote sensing observations