How much information do we need for a realistic representation of coastal wetland evolution?

A common challenge when modelling long term wetland evolution is the limited amount of information on key ecogeomorphological components of the model. In addition, data integration is often needed due to computational constraints as some variables have an important short-term dynamics and models need to be run for long time periods.  In this work we present a simplified domain model that includes all relevant hydrodynamic, sedimentation and vegetation dynamics mechanisms that affect wetland evolution, and it is efficient enough computationally to allow the simulation of long time periods. We consider the effect of short-term sediment and tidal dynamics, and present methods that extract enough information from the time series that allow for efficient computation with acceptable margins of error. We find that results considering short term sediment and tidal variability display higher values of wetland accretion and resilience to sea-level rise than results using long term averages.