• Corpus ID: 256105802

Efficient optimization of a regional water elevation model with an automatically generated adjoint

@inproceedings{Karna2022EfficientOO,
  title={Efficient optimization of a regional water elevation model with an automatically generated adjoint},
  author={Tuomas Karna and Joseph G. Wallwork and Stephan C. Kramer},
  year={2022}
}
Calibration of unknown model parameters is a necessary task in most ocean model applications. We present an adjoint-based optimization of an unstructured mesh shallow water model for the North Sea and the Baltic Sea. Spatially varying bottom friction parameter is tuned to minimize the misfit with respect to tide gauge sea surface height (SSH) observations. A key benefit of adjoint-based optimization is that computational cost does not depend on the number of unknown variables. Adjoint models are… 

References

SHOWING 1-10 OF 65 REFERENCES

Adjoint-based optimization of a regional water elevation model

By optimizing the bottom friction, the model’s capability to predict sea surface height improves significantly and the optimization process is robust and computationally efficient.

Calibration, inversion and sensitivity analysis for hydro-morphodynamic models

The development of reliable, sophisticated hydro-morphodynamic models is essential for protecting the coastal environment against hazards such as flooding and erosion. There exists a high degree of

Efficient Inverse Modeling of Barotropic Ocean Tides

Abstract A computationally efficient relocatable system for generalized inverse (GI) modeling of barotropic ocean tides is described. The GI penalty functional is minimized using a representer

Adjoint-based sensitivity analysis for a numerical storm surge model

Abstract Numerical storm surge models are essential to forecasting coastal flood hazard and informing the design of coastal defences. However, such models rely on a variety of inputs, many of which

Thetis coastal ocean model: discontinuous Galerkin discretization for the three-dimensional hydrostatic equations

A novel discontinuous Galerkin (DG) finite element discretization for the hydrostatic equations that is fully conservative and second-order accurate in space and time and capable of simulating baroclinic flows in the eddying regime.

Estimating River Bathymetry from Surface Velocity Observations Using Variational Inverse Modeling

AbstractAccurate river bathymetry characterization is important to understanding all aspects of the riparian environment and provides crucial information for ensuring the safe passage of vessels and

Goal-oriented error estimation and mesh adaptation for shallow water modelling

Convergence analysis indicates that meshes resulting from the goal-oriented adaptation strategies permit accurate QoI estimation using fewer computational resources than uniform refinement.

Bottom Topography Mapping via Nonlinear Data Assimilation

AbstractA variational data assimilation method is described for bottom topography mapping in rivers and estuaries using remotely sensed observations of water surface currents. The velocity field and
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