In this talk, we will discuss the HARP2 aerosol products, their data format, and expected uncertainties based on the FastMAPOL retrieval algorithm. The retrieval algorithm provides an efficient approach to simultaneously derive aerosol and ocean properties through Bayesian optimal estimation and deep learning based radiative transfer forward models. To understand the HARP2 retrievability, a full day of global synthetic HARP2 data were generated and used to test various retrieval parameters including aerosol complex refractive index, effective radius and variance, aerosol layer height, aerosol optical depth, and single scattering albedo. To assess the retrieval quality, pixel-wise retrieval uncertainties were derived based on error propagation and evaluated against the difference between the retrieval parameters and truth. Retrieval uncertainties for both fine and coarse mode aerosols, as well as ocean surface wind speed and ocean chlorophyll a, are examined with respect to location, geometries, and distribution of geophysical properties. Based on the retrieval results, advanced research products including multi-angle cloud masks and angular water leaving signals will be also investigated. This study will provide an overview on the retrieval algorithm, data products, and their associated uncertainties for HARP2 in preparation for the upcoming PACE mission.

