• DocumentCode
    3061241
  • Title

    A methodology to define extreme wave climate using reanalysis data bases

  • Author

    Méndez, F.J. ; Tomás, A. ; Mínguez, R. ; Reguero, B.G.

  • Author_Institution
    Environ. Hydraulics Inst. IH Cantabria, Univ. de Cantabria, Santander, Spain
  • fYear
    2011
  • fDate
    6-9 June 2011
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Hindcast or Wave Reanalysis DataBases (WRDB) have become a powerful tool for the design of offshore and coastal structures, since they offer important advantages for the statistical characterization of extreme events (continuous time series, good spatial coverage, constant time span, homogeneous forcing, >; 40 year long time series). However, WRDB are affected by several limitations that must be addressed prior to their use (they are not quantitatively perfect; high-frequency information is not included in global wind reanalysis models). In addition, the selection of a given extreme value model is also an important issue that must be conveniently analyzed. The objective of this work is to describe a complete methodology able to cope with the problems derived from the use of WRDB, specially for extreme value analysis and long term design. We pay special emphasis to: i) the high frequency noise or peaks of the time series, and ii) the extreme value statistical model. The methodology is illustrated with examples applied to the port of Barcelona (Spain).
  • Keywords
    database management systems; geophysics computing; statistical analysis; time series; Barcelona port; Hindcast; WRDB; extreme value statistical model; extreme wave climate definition; time series; wave reanalysis databases; Calibration; Data models; Instruments; Meteorology; Noise; Time frequency analysis; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS, 2011 IEEE - Spain
  • Conference_Location
    Santander
  • Print_ISBN
    978-1-4577-0086-6
  • Type

    conf

  • DOI
    10.1109/Oceans-Spain.2011.6003591
  • Filename
    6003591