Stochastic simulation of inhomogeneous metocean fields: part I: annual variability

Authors:
Alexander V. Boukhanovsky;Harald E. Krogstad;Leonid J. Lopatoukhin;Valentin A. Rozhkov
Affiliations:
Institute for High Performance Computing and Information Systems, St. Petersburg, Russia;Dept. Mathematical Sciences, NTNU, Trondheim, Norway;Oceanology Dept., State University, St. Petersburg, Russia;Oceanology Dept., State University, St. Petersburg, Russia
Venue:
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartII
Year:
2003

Citing 2
Cited 2

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Applied multivariate statistical analysis
Peculiarities of Computer Simulation and Statistical Representation of Time-Spatial Metocean Fields

ICCS '01 Proceedings of the International Conference on Computational Sciences-Part I

Stochastic simulation of inhomogeneous metocean fields: part II: synoptic variability and rare events

ICCS'03 Proceedings of the 2003 international conference on Computational science: PartII
Stochastic simulation of inhomogeneous metocean fields: part III: high-performance parallel algorithms

ICCS'03 Proceedings of the 2003 international conference on Computational science: PartII

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Abstract

The paper discusses stochastic models of scalar and vector metocean fields based on time varying Empirical Orthogonal Functions in space, and autoregressive time series models for the coefficients in the expansions. The models are fitted to an extensive data set from the Barents Sea and verified by studying field extreme value properties.