Southern Hemisphere Application of the Systematic Approach to Tropical Cyclone Track Forecasting. Part 2. Climatology and Refinement of Meteorological Knowledge Base

Abstract

The preliminary adaptation by Bannister et al. (1997) of the Systematic Approach to tropical cyclone (TC) track forecasting meteorological knowledge base to the Southern Hemisphere has been extended to eight seasons (1990-91 through 1997-98), which includes 145 (90) cyclones in the South Indian (Pacific) region. A total of 3257 synoptic pattern/region classifications could be described in the context of only four synoptic patterns and 11 synoptic regions. Updated track summaries in each pattern/region combination, and the recurring (more than three) environment structure transitions are provided. Refinements in the set of TC-environment transitional mechanisms in the meteorological knowledge base include: (1) new Equatorial Westerly Wind Burst Mechanism; (2) new semi-direct TC interaction equatorward conceptual model; (3) additional variations of the Subtropical Ridge Modulation mechanisms; and (4) further cases of Vertical Wind Shear leading to dramatic TC track changes. These refinements are illustrated with case studies intended to assist the forecaster in recognizing these transitional mechanisms, and thus anticipating TC track changes in the Southern Hemisphere.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1998
Accession Number
ADA359385

Entities

People

  • Anthony J. Bannister
  • Lester E. Carr Iii
  • Mark A . Boothe
  • Russell L. Elsberry

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Case Studies
  • Climatology
  • Databases
  • Environment
  • Frequency
  • High Pressure
  • Indian Ocean
  • Meteorology
  • Oceans
  • Pacific Ocean
  • Pressure Gradients
  • Satellite Imaging
  • South Pacific Ocean
  • Southern Hemisphere
  • Three Dimensional
  • Tropical Cyclones
  • Wind Shear

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation