Abstract
Metocean data fields (atmospheric pressure, wind speed, sea surface and air temperature, sea waves etc.) are multivariate and multidimensional, i.e. have a complex spatial and temporal variability. Only 10–20 years back the environmental databases wholly consisted of the time series (ship observation, sea and coastal monitoring stations, automatic probes and buoys, satellites) in fixed points of spatial regions. For processing of such data the different kinds of software are developed, e.g. [11]. They interprets the information in terms of random values (RV) or time series (TS) models only.
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Keywords
- Singular Value Decomposition
- Mathematical Expectation
- Multivariate Statistical Analysis
- Orthogonal Expansion
- Extreme Wave Height
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Boukhanovsky, A.V. (2002). Multivariate Stochastic Models of Metocean Fields: Computational Aspects and Applications. In: Sloot, P.M.A., Hoekstra, A.G., Tan, C.J.K., Dongarra, J.J. (eds) Computational Science — ICCS 2002. ICCS 2002. Lecture Notes in Computer Science, vol 2329. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46043-8_21
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