Forecasting Tropical Cyclone Recurvature Using an Empirical Othogonal Function Representation of Vorticity Fields

Abstract

An empirical orthogonal function (EOF) representation of relative vorticity is used to forecast recurvature (change in storm heading from west to east of 000 deg N) of western North Pacific tropical cyclones. The time-dependent coefficients of the first and second EOF eigenvectors vary in a systematic manner as the tropical cyclone recurves around the subtropical ridge and tend to cluster in a different region in EOF space. Exploiting this Euclidean distance approach, additional EOF coefficients are identified that best represent the vorticity fields of recurving and straight-moving storms. Classification of an individual case is then into the closest time-to-recurvature in 12-h intervals or straight-moving storm category as measured in multidimensional EOF space. Although rather subjective, the Euclidean method demonstrates skill relative to climatological forecasts. A more objective discriminant analysis technique is also tested. A final version that involves the first six EOF coefficients of the 250 mb vorticity field is useful (72% correct) in identifying recurvers or straight-movers during the 72-h forecast period. Skill in classifying situations within 12-h time-to-recurvature groups is low, but might be improved using other analysis techniques or in combination with other predictors.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1990
Accession Number
ADA238489

Entities

People

  • Debra M. Ford

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Classification
  • Coefficients
  • Computer Programs
  • Computers
  • Contrast
  • Correlation Analysis
  • Cyclones
  • Data Mining
  • Data Science
  • Data Sets
  • Discriminant Analysis
  • Eigenvectors
  • Grids
  • Information Science
  • Regression Analysis
  • Tropical Cyclones

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computer Vision.

Technology Areas

  • Space