Journal of Marine Science: Research & Development
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Kalman filtering techniques can be used to recursively feed observed data into physics based models for Geophysical Fluid
Dynamics to accomplish adequate forecasting. The same techniques, however, can also be used to address the inverse
problem: to assess the physical content of models by applying their simulated output to observed data. In this presentation we
shall present and discuss a dedicated physics based model (under development) that aims at numerical simulation of the global
terrestrial tides, with the specific aim of identification of future risk areas of storm surge flooding; we shall discuss physical
mechanisms that are significant to the predictive power of the model. Among these, interestingly, is the generation of internal
tides and waves. We shall show examples of observations of these and discuss their relevance, both in terms of interest to ocean
science and as opportunities for further model verification and testing.
Ramses van der Toorn (MSc in Applied Physics from Delft University of Technology) completed his PhD (cum laude, Utrecht University, 1997), on research in
geophysical fluid dynamics, carried out at the Netherlands Institute for Sea Research. He has published and has been active (including teaching, and serving
conference committees as well as the CMC international industrial standardization coalition) in semiconductor device physics and compact transistor modeling
(from Philips Research Laboratories, and developing and hosting the world wide industrial standard Mextram from Delft University of Technology). In parallel he
has continued publishing scientific work in geophysical fluid dynamics. He currently holds an Assistant Professor position, with a focus on research of applications
of mathematics in geophysical fluid dynamics, at the Delft Institute of Applied Mathematics.
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