IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-59387-6_29.html
   My bibliography  Save this book chapter

Counter-Gradient Term Applied to the Turbulence Parameterization in the BRAMS

In: Integral Methods in Science and Engineering, Volume 2

Author

Listed:
  • M. E. S. Welter

    (National Institute for Space Research (INPE))

  • H. F. de Campos Velho

    (National Institute for Space Research (INPE))

  • S. R. Freitas

    (National Aeronautics and Space Administration (NASA))

  • R. S. R. Ruiz

    (National Institute for Space Research (INPE))

Abstract

The numerical weather prediction is a routine in operational meteorological centers, where sophisticated computer models are executed. The atmospheric dynamics is simulated by solving the Navier-Stokes equations, considering several physical phenomena. One parameterization applied to this dynamical system is to represent the turbulence. A counter-gradient flow can be described for higher order closure turbulence approaches. Here, a first order parameterization for the turbulent flow is coupled with an explicit counter-gradient term. Both latter schemes are based on the Taylors statistical theory of turbulence. The parameterization schemes are applied to the BRAMS, a mesoscale meteorological model. The simulation is compared with experimental data measured in the Brazilian Amazon region.

Suggested Citation

  • M. E. S. Welter & H. F. de Campos Velho & S. R. Freitas & R. S. R. Ruiz, 2017. "Counter-Gradient Term Applied to the Turbulence Parameterization in the BRAMS," Springer Books, in: Christian Constanda & Matteo Dalla Riva & Pier Domenico Lamberti & Paolo Musolino (ed.), Integral Methods in Science and Engineering, Volume 2, chapter 0, pages 299-309, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-59387-6_29
    DOI: 10.1007/978-3-319-59387-6_29
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-319-59387-6_29. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.