Stochastic modeling of seafloor morphology: A parameterized Gaussian model
Journal Article
·
· Geophysical Research Letters (American Geophysical Union); (USA)
- Massachusetts Inst. of Tech., Cambridge (USA)
Stochastic methods of analysis are useful for quantifying ensemble properties of small-scale bathymetric features such as abyssal hills. In this paper the authors model the seafloor as a stationary, zero-mean, Gaussian random field completely specified by its autocovariance function. They formulate an anisotropic autocovariance function that has five free parameters describing the amplitude, anisotropic orientation and aspect ratio, characteristic length, and Hausdorff (fractal) dimension of seafloor topography. Parameters estimated from various seafloor exhibits a wide range of stochastic characteristics within the constraints of the model. Synthetic topography can be generated at arbitrary scale and resolution from the Gaussian model using a Fourier method. Color images of these synthetics are useful for illustrating the stochastic behavior of the model.
- OSTI ID:
- 5471173
- Journal Information:
- Geophysical Research Letters (American Geophysical Union); (USA), Journal Name: Geophysical Research Letters (American Geophysical Union); (USA) Vol. 16:1; ISSN 0094-8276; ISSN GPRLA
- Country of Publication:
- United States
- Language:
- English
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