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Multivariate Stochastic Models of Metocean Fields: Computational Aspects and Applications
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Multivariate Stochastic Models of Metocean Fields: Computational Aspects and Applications
A. V. Boukhanovsky7, 8 
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St. Petersburg branch, State Oceanographic Institute, Russia |
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Institute for High Performance Computing and Data Bases, 120 Fontanka, St. Petersburg, 198005, Russia |
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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