Improving Tropical Cyclone Intensity Forecasting with Theoretically-Based Statistical

Abstract

The goal of this research has been to improve tropical cyclone intensity prediction through a theoretical study of the hurricane inner core (i.e., within 100-km), the role of ocean structure on hurricane intensity, and the incorporation of those results in a simplified intensity prediction system. The intensity prediction system is being tested in an operational framework in the western North Pacific and is being provided to the Joint Typhoon Warning Center (JTWC) for evaluation. The intensity model is based on the statistical-dynamical logistic growth equation model (LGEM), which has generally been the most accurate operational intensity model in the Atlantic basin during the last several hurricane seasons.

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Document Details

Document Type
Technical Report
Publication Date
Jan 03, 2013
Accession Number
ADA573573

Entities

People

  • Charles R. Sampson
  • James Cummings
  • Mark Demaria
  • Wayne H. Schubert

Organizations

  • Colorado State University

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Cyclones
  • Data Sets
  • Delphi Method
  • Differential Equations
  • Electronic Mail
  • Energy
  • Enthalpy
  • Equations
  • Hurricanes
  • Isotherms
  • Kinetic Energy
  • Sea Surface Temperature
  • Storms
  • Surface Temperature
  • Test And Evaluation
  • Tropical Cyclones
  • Wind

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation