Coastal wetlands can serve as nature-based solutions (NBS) to mitigate the impacts of compound flooding from two or more co-occurring flood drivers (e.g., precipitation and storm surge), thereby promoting resilience and climate readiness. Successful NBS implementation requires scenario-based evaluations of changes in sea level, precipitation, and other aspects of the coastal landscape, and coordination among natural and social scientists, engineers, and local stakeholders. We evaluated NBS designs for tidal wetlands in Mobile Bay, AL using field-based vegetation surveys and coupled hydrodynamic models. Further, we conducted a systematic literature review to identify regional and species-specific data for model inputs, including peak aboveground biomass, elevation optima, and ranges for above- and belowground biomass and root:shoot for tidal wetlands throughout North America. Within Mobile Bay, biological variables, such as maximum plant biomass, differed both within and among sites and among dominant vegetation types by an order of magnitude. At the regional scale, substantial variation in biological variables, such as elevation minima/maxima, above- and belowground biomass, root:shoot, and salinity tolerances, was also apparent. Overall, this variation resulted in differences in modeling parameters, which has implications for inundation extent, depth, and velocity during compound flooding events, and provides insights into which NBS may be most effective at mitigating flood impacts. Overall, these efforts can improve restoration planning, strengthen process-based modeling, and provide better tools for decision-making, thereby supporting adaptive strategies for coastal ecosystems facing climate-driven challenges. This presentation is part of the Cooperative Institute for Research on Hydrology (CIROH) project titled “Assessing Nature-Based Solutions to Mitigate Flood Impacts and Enhance Resilience.”