Development and Implementation of a Statistical Typoon Intensity Prediction Scheme for the Western North Pacific

Abstract

The primary objective of this project was to create and implement a 5-day Statistical Typhoon Intensity Prediction Scheme (STIPS) into the operational suite of products available to JTWC. The development of such a scheme builds on the success of the Statistical Hurricane Intensity Prediction Scheme (SHIPS) developed for the Atlantic and Eastern North Pacific and used by the National Hurricane Center (DeMaria and Kaplan 1999). In the process of developing STIPS, a comprehensive statistical analysis is performed which identifies the physical processes associated with tropical cyclone intensification in this basin along with their relative importance. The resulting statistical scheme, STIPS produces tropical cyclone intensity forecasts along a specified forecast track. The STIPS model also has a companion formulation Decay-STiPS which factors in the effect of interaction with land and decays the forecasted intensity accordingly. A secondary objective was the development of simple 5-day statistical typhoon intensity forecast (STIFOR-5D) model which is based upon climatology and persistence (CLIPER). The development of this simple model was necessitated by the operational requirement to verify forecasts.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2002
Accession Number
ADA404023

Entities

People

  • John A. Knaff

Organizations

  • Colorado State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Atmospheric Motion
  • Biological Phenomena
  • Climatology
  • Cyclones
  • Hurricanes
  • Intensity
  • Meteorological Phenomena
  • Meteorology
  • Sea Surface Temperature
  • Statistical Analysis
  • Storms
  • Surface Temperature
  • Tropical Cyclones
  • Vapor Pressure
  • Water Vapor
  • Wind
  • Wind Shear

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation
  • Organizational Process Management (OPM).