Statistical Adjustment of Dynamical Tropical Cyclone Model Track Predictions.

Abstract

A technique of statistically adjusting dynamical forecasts of tropical cyclone motion was tested. All tests were performed with operationally-analyzed data from the U.S. Navy Fleet Numerical Weather Central (FNWC). Three sets of regression equations were developed to modify forecasts of typhoon tracks. The first set of equations was based only on forward integration of the FNWC Tropical Cyclone Model (TCM) for 28 cases in 1975-76. An independent sample of cases from 1977-78 indicated that the first equation set was based on too small a sample size, especially considering the anomalous nature of the 1975-76 storm tracks. A second equation set based only on forward integration of the TCM was derived from 61 storm track forecasts from 1975-78. Results from the experiments with these equations indicate that systematic data and model errors can be used to statistically adjust forecast storm tracks. The second equation set based on forward integration showed improvement over the unmodified model predictions at all forecast times. A third equation set based on forward and backward integration of the TCM explained the greatest amount of variance of all the equation sets.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1979
Accession Number
ADA070094

Entities

People

  • Dennis Robert Frill

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Boundaries
  • California
  • Computer Programs
  • Computers
  • Cyclones
  • Data Sets
  • Equations
  • Errors
  • Fleet Weather Central
  • Gravity Waves
  • Grids
  • Mesh
  • Meteorology
  • Tropical Cyclones
  • United States
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.