Submarine channel and fan deposits form the largest sediment accumulations on Earth and host significant reservoirs for hydrocarbons. While many studies of ancient fan deposits describe architectural variability along 2D transects (e.g. axisâtoâfringe, proximalâtoâdistal), these relationships are often qualitative and are rarely quantified at the eventâbed scale. In order to enable quantitative comparison of the fineâscale architecture of submarine depositional environments, 56 bedâscale outcrop correlation panels from five broadly categorized environments (channel, levee, lobe, channelâlobe transition zone, CLTZ and basin plain) were digitized. Measured architectural parameters (bed thickness, bed thinning rates, lateral correlation distance, netâtoâgross) provide a large (n = 28,525) and statistically robust framework to compare eventâbed architectures within and between environments. âThinning rateâ data (i.e. the lateral rate of change of bed thickness) clearly differentiate deposits from different submarine depositional environments, helping to quantify generally accepted models for proximalâtoâdistal evolution of stratigraphic architecture. The thinning rates of sandstone beds and mudstoneâdominated intervals vary predictably between environments. For example, the highest sandstone thinning rates occur in channel deposits (0.2â6 cm/m; P10 and P90 values here and below) and decrease to lobe (0.1â1.6 cm/m), CLTZ (0.2â0.9 cm/m), levee (0.0024â0.078 cm/m) and basinâplain deposits (0.000017â0.0054 cm/m). These quantitative relationships provide valuable insights for downslope flow evolution and the construction of stratigraphic architecture in submarine settings. Due to intraâenvironment variability, netâtoâgross is highly variable and thus (when considered alone) is not a diagnostic indicator of depositional environment. Submarine lobe deposits show the most variability in event bed thickness, thinning rate and netâtoâgross, likely due to the inherent facies variability and differing boundary conditions. To explore this variability, lobe deposits were subâclassified based on position (proximal, distal) and effective confinement (unconfined, semiconfined, confined) to provide a more detailed subâenvironment analysis. Unconfined lobe deposits show a proximalâtoâdistal increase in sandstone thickness and decrease in mudstone thickness, supporting conceptual models. Confined lobe deposits have thicker sandstone and mudstone beds and lower netâtoâgross values as compared to unconfined and semiconfined lobes, supporting a sediment trapping mechanism by confinement. These quantified bedâscale parameter comparisons enable the recognition of architectural similarities and differences within and between environments, demonstrating the need for more quantitative studies of bedâscale heterogeneity. The results from this study are immediately applicable to parameterizing forward stratigraphic models, constraining property distribution in reservoir models, and probabilistic determination of depositional environment ...