• Browse
    • Author
    • Year
    • Platform
    • Organizations
    • Programs
    • Research Networks
    • Type
  • Search
    • Simple
    • Advanced
  • About
    • About
    • Policies
    • Citation Guide
  • Login
    Logo Alfred Wegener Institut
    Logo Alfred Wegener Institut
    Alfred-Wegener-Institut
    Helmholtz-Zentrum für Polar-
    und Meeresforschung
    • Imprint
    • Contact
    • OAI
    • RSS 2.0

    EPIC.awi.de

    Home
    • Browse
      • Author
      • Year
      • Platform
      • Organizations
      • Programs
      • Research Networks
      • Type
    • Search
      • Simple
      • Advanced
    • About
      • About
      • Policies
      • Citation Guide
    • Login
      Login

      The SEIK Filter and its Application in Oceanography

      Edit Item Edit Item

      General Information:

      Citation:
      Nerger, L. (2007): The SEIK Filter and its Application in Oceanography , Norwegian Meteorological Institute, Oslo, November 8 .
      Cite this page as:
      hdl:10013/epic.28475
      Contact Email:
      Lars.Nerger@awi.de
      Related Data:

      Abstract:

      The SEIK (Singular 'Evolutive' Interpolated Kalman) filter is anensemble-based Kalman filter. It has been developed for sequentialdata assimilation with large-scale non-linear numerical models. TheSEIK filter is particularly efficient compared, e.g., to the morecommon Ensemble Kalman filter (EnKF) due to the combination of theensemble-representation of forecast errors with an explicit operationon a low-dimensional error space. A localized variant of the SEIKfilter has been developed to further improve the performance of thefilter algorithm. I will review aspects of sequential dataassimilation and discuss the SEIK and local SEIK filters as well astheir implementation within the assimilation framework PDAF for dataassimilation on parallel computers. The application of the filters isdiscussed on the basis of experiments assimilating satellite data ofeither sea surface height or ocean color into ocean andocean-biogeochemical models.

      Further Details:

      Item Type:
      Conference
      Authors:
      Nerger, Lars
      Divisions:
      AWI Organizations > Infrastructure > Scientific Computing
      Programs:
      Helmholtz Research Programs > MARCOPOLI (2004-2008) > New Themes
      Helmholtz Research Programs > MARCOPOLI (2004-2008) > German community ocean model
      Eprint ID:
      17922
      Logo Alfred Wegener Institut
      Alfred-Wegener-Institut
      Helmholtz-Zentrum für Polar-
      und Meeresforschung
      Logo Helmholtz

      • Browse
        • Author
        • Year
        • Platform
        • Organizations
        • Programs
        • Research Networks
        • Type
      • Search
        • Simple
        • Advanced
      • About
        • About
        • Policies
        • Citation Guide
      • Imprint
      • Contact
      • OAI
      © Alfred-Wegener-Institut