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Performance test of the Movable-Area Fine-Mesh model in the western Pacific



Details

  • Personal Author:
    Kerlin, James
  • Corporate Authors:
    National Meteorological Center (U.S.)
  • NOAA Program & Office:
    NWS (National Weather Service)
  • Description:
    During the last six years at the National Meteorological Center (NMC), a project to develop a numerical model capable of forecasting hurricane (typhoon) movements has been underway. This project has been very successful and has resulted in the development and operational implementation of a primitive-equation, analysis-forecast system, the Movable- Area Fine-Mesh Model (MFM), capable of producing forecasts of either hurricane tracks or large-scale heavy precipitation. A performance test using the MFM was conducted on selected storms from the Western Pacific-1977 Typhoon Storm Season. The objective of the experiment was to evaluate the performance of the MFM in the Western Pacific where a sparsity of data and large storms exist. The initial analysis came from the Operational Spectral Analysis System. From this analysis a 48- hour Northern Hemisphere Six-Layer Primitive Equation Model forecast on a 381 km (true at 60° latitude) grid was generated to provide boundary conditions for the MFM. Forecast results are verified against the Joint Typhoon Warning Center provided typhoon positions.
  • Content Notes:
    James Kerlin.

    "January 1979."

    "This is an unreviewed manuscript, primarily intended for informal exchange of information among NMC staff members."

    System requirements: Adobe Acrobat Reader.

    Includes bibliographical references (page 12).

  • Keywords:
  • Series:
    Office note (National Meteorological Center (U.S.))   194
  • Document Type:
    Miscellaneous
  • Place as Subject:
    Pacific Ocean
  • Rights Information:
    Public Domain
  • Compliance:
    Library
  • Main Document Checksum:
    urn:sha-512:4127427682bd63ff25051bb88f0b19079e9271903deaf529cc8e2410d3c32247c15835be357c84790ffc364f2ba876ad9d4d17cbb123998d779fc0e47f367b08
  • Download URL:
  • File Type:
    Filetype[PDF - 1.23 MB ]
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