“…Observed global sea level rise (SLR) (Nerem et al., 2018 ) and the consensus expectation of accelerated SLR in the future (e.g., Sweet et al., 2017 ) further motivate research efforts to quantify spatial and temporal exposure to future coastal flood and erosion hazards. Numerous efforts have focused on the development and application of high‐fidelity, but computationally expensive, numerical modeling suites to quantify the impacts of specific storm events (e.g., Barnard et al., 2019 ; Bilskie et al., 2014 ; Dietrich et al., 2011 ; Hsu et al., 2018 ; Warner et al., 2010 ; Wolf, 2009 ) or use output from a limited number of dynamically downscaled multi‐decadal general circulation models (GCMs) (e.g., Muis et al., 2020 ). Other work has investigated statistical approaches to generate 1,000s of multivariate combinations of waves, sea levels, precipitation, and river flows that could compound to create future extreme events (e.g., Callaghan et al., 2008 ; Moftakhari et al., 2017 ; Serafin & Ruggiero, 2014 ; Wahl & Chambers, 2015 ), enabling an estimate of the intrinsic variability within climate‐dependent processes.…”