• DocumentCode
    446119
  • Title

    Robustness of the NN Approach to emulating atmospheric long wave radiation in complex climate models

  • Author

    Krasnopolsky, Vladimir M. ; Fox-Rabinovitz, Michael S. ; Chou, Ming-Dah

  • Volume
    4
  • fYear
    2005
  • fDate
    July 31 2005-Aug. 4 2005
  • Firstpage
    2661
  • Abstract
    In this paper we present comparisons of NN emulations developed for two different complex climate models: NCAR CAM model and NASA NSIPP. These models have different dynamics, different horizontal and vertical resolutions and different physics (including different long wave radiation schemes). Comparison of two (NCAR and NASA) NN emulations shows their profound similarity in terms of the accuracy of emulation vs. the original parameterizations and complexity of emulating NNs, i.e. the methodological robustness and portability of our NN emulation approach.
  • Keywords
    atmospheric radiation; atmospheric techniques; geophysics computing; neural nets; National Center for Atmospheric Research; atmospheric long wave radiation; community atmospheric model; complex climate models; neural networks; Atmospheric modeling; Atmospheric waves; CADCAM; Computer aided manufacturing; Emulation; Geoscience; NASA; Neural networks; Physics; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-7803-9048-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.2005.1556323
  • Filename
    1556323