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Multivariate Stochastic Models of Metocean Fields: Computational Aspects and Applications

  • A. V. Boukhanovsky
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2329)

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.

Keywords

Singular Value Decomposition Mathematical Expectation Multivariate Statistical Analysis Orthogonal Expansion Extreme Wave Height 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • A. V. Boukhanovsky
    • 1
    • 2
  1. 1.St. Petersburg branchState Oceanographic InstituteRussia
  2. 2.Institute for High Performance Computing and Data BasesSt. PetersburgRussia

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