Evaluation Of Dynamical Track Prediction Models for Tropical Cyclones in the Atlantic During 1997-98

Abstract

Carr and Elsberry (1999; NPS Tech Report) have described eight conceptual models that explain most cases of large (> 300 n mi at 72 h) western North Pacific tropical cyclone (TC) track errors by the Navy Operational Global Atmospheric Prediction System (NOGAPS) and the Geophysical Fluid Dynamics Lab (Navy version - GFDN) models. This study is for TCs in the Atlantic basin and includes the European Centre for Medium-range Weather Forecasting (ECMWF) and the United Kingdom Meteorological Office global models, whereas the GFDL model is eliminated. A detailed examination is made of large (> 250 n mi at 72 h) errors made by the three dynamical models for two seasons of Atlantic TC tracks (1997-98). The percentages of > 250 n mi 72-h errors for the NOGAPS, UKMO, and ECMWF models were 23%, 26%, and 19%, respectively. The same error mechanisms found to apply in other basins also affect the dynamical models in the Atlantic. The NOGAPS and UKMO models have a tendency to over-represent TCs and other circulations, which leads to a cyclonic rotation, or even merger, via the Excessive Direct Cyclone Interaction (E-DCI) process, just as was found in the western North Pacific. The primary ECMWF error source was Excessive Midlatitude CycloGenesis (MCG).

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2000
Accession Number
ADA378146

Entities

People

  • David S. Brown

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Case Studies
  • Cyclogenesis
  • Cyclones
  • Delphi Method
  • Fluid Dynamics
  • Meteorology
  • Orientation (Direction)
  • Ridges
  • Rossby Waves
  • Rotation
  • Sea Level
  • Standards
  • Statistical Analysis
  • Tropical Cyclones
  • United Kingdom
  • United States
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology