UNCERTAINTY OF BATHYMETRY MODELS AND EFFECT ON TSUNAMI MODELS
PDF

How to Cite

Sepulveda, I., Haase, J. S., Liu, P. L.-F., Grigoriu, M., Tozer, B., & Sandwell, D. (2020). UNCERTAINTY OF BATHYMETRY MODELS AND EFFECT ON TSUNAMI MODELS. Coastal Engineering Proceedings, (36v), currents.22. https://doi.org/10.9753/icce.v36v.currents.22

Abstract

We describe the uncertainties of altimetry-predicted bathymetry models and then quantify the impact of this uncertainty in tsunami hazard assessments. The study consists of three stages. First, we study the statistics of errors of altimetry-predicted bathymetry models. Second, we employ these statistics to propose a random field model for errors anywhere. Third, we use bathymetry samples to conduct a Monte Carlo simulation and describe the tsunami response uncertainty. We found that bathymetry uncertainties have a greater impact in shallow areas. We also noted that tsunami leading waves are less affected by uncertainties.

Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/zzL_XWWAQ7o
https://doi.org/10.9753/icce.v36v.currents.22
PDF

References

Smith, W. & Sandwell, D. (1994). Bathymetric prediction from dense satellite altimetry and sparse shipboard bathymetry. Journal of Geophysical Research: Solid Earth.

Goff, J. & Jordan, T. (1989). Stochastic modeling of seafloor morphology: A parameterized Gaussian model. Geophysical Research Letters.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.