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Coastal bay morphodynamics show inherent uncertainty due to minor initial condition changes. Distinguishing external drivers from this internal variability is crucial for robust numerical model evaluation.

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Area of Science:

  • Coastal morphodynamics
  • Geophysical fluid dynamics
  • Numerical modeling

Background:

  • Coastal bay morphodynamics exhibit inherent uncertainty, not fully deterministic behavior.
  • This variability resembles internal climate system variability, stemming from dynamical instabilities and random disturbances.
  • Traditional stability analyses often focus on low-dimensional systems, which is insufficient for realistic, high-dimensional morphodynamic models.

Purpose of the Study:

  • To examine uncertainty in a simple coastal bay morphodynamic numerical model.
  • To understand how initial condition variations influence model outcomes.
  • To provide a framework for distinguishing external drivers from internal variability in coastal systems.

Main Methods:

  • Utilized a relatively simple morphodynamic numerical model of a coastal bay.
  • Investigated the impact of minor changes in initial conditions, specifically tidal phase.
  • Employed ensemble simulations to assess the range of intrinsic variability.

Main Results:

  • Minor changes in initial conditions, like tidal phase, led to substantial differences in local features (e.g., channel structure) among ensemble members.
  • Overall properties like mean bay depth and channel count showed less sensitivity.
  • Demonstrated that internal variability can mask or mimic the effects of external drivers.

Conclusions:

  • Robust evaluation of numerical experiments requires explicit estimates of inherent uncertainty.
  • Distinguishing experimental signals from internal variability ('noise') is essential for accurate interpretation of coastal morphodynamic models.
  • The study highlights the stochastic nature of morphodynamic systems and the need for probabilistic approaches.