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The European Space Agency's Sentinel-2A mission with the MultiSpectral Instrument (MSI) onboard was launched in 2015, initiating a new era in high-to-moderate-resolution (i.e., 10 to 60 m) imaging of Earth's resources. This manuscript describes the implementations of MSI processing into the SeaWiFS Data Analysis System (SeaDAS) and provides qualitative and quantitative analyses of remote sensing reflectance products (R_rs), which are essential in the retrievals of near-surface concentrations of water constituents in aquatic systems. In situ validations and intercomparisons of MSI-derived R_rs products with those derived from Landsat-8's Operational Land Imager (OLI) both indicated reasonable products in coastal/inland waters. Following vicarious calibrations using reference in situ water-leaving radiances, the overall absolute relative differences and the root mean squared differences (RMSD) found for the …