Airborne deposition of mineral dust and associated nutrients could fertilize ocean ecosystems and influence ocean biogeochemical cycles and climate. Model simulations of dust deposition depend strongly on the highly parameterized representations of a suite of dust processes with little constraints. In recent years, several intensive field campaigns have acquired new datasets of microphysical and optical properties of African dust. Satellite remote sensing observations have been applied to characterize the three-dimensional distributions of dust and estimate the dust deposition and loss frequency along the trans-Atlantic transit on a decadal time scale. It is imperative to integrate these new in situ and remote sensing datasets with long-term data from ground-based networks in the region to systematically assess model simulations of dust deposition and identify major deficiencies of dust models. Details about the proposed analysis are described here: TADD_aerocom_exp_final.pdf