A RANDOM WALK MODEL FOR SIMULATING SIMULTANEOUS CURRENTS AT SEVERAL DEPTHS

Empirical orthogonal function (EOF) analysis is used in conjunction with Marjov chains to generate simultaneous current time series at several depths with a random walk model. Duration statistics and probability distributions for EOF modes obtained from real data are used to generate transition probability matrices for the random walk model. New time series of EOF modes are generated, and then combined to produce current time series. The technique has been tested on data from Haltanbanken. Statistical properties of real and simulated time series were compared. Results indicate that the model is acceptable as a tool in simulating current time series to be used in offshore operation models.

• Supplemental Notes:
  • Ocean Engng., 14 (1987), p. 453 (No. 6) [16 pp., 7 ref., 3 tab., 13 fig.]
• Authors:
  • Olsen, R B
• Publication Date: 1987

Language

• English

Subject/Index Terms

• TRT Terms: Ocean currents; Offshore construction; Random functions
• Uncontrolled Terms: Environmental conditions
• Subject Areas: Hydraulics and Hydrology; Marine Transportation;

Filing Info

• Accession Number: 00693584
• Record Type: Publication
• Source Agency: British Maritime Technology
• Files: TRIS
• Created Date: Aug 14 1995 12:00AM