A Kalman Filter with Smoothing for Hurricane Tracking and Prediction

Abstract

The performance of a Kalman filter used to track a hurricane was substantially improved by implementing a fixed interval smoothing algorithm. This tracking routine was designed and implemented in a microcomputer program. Several tracking scenarios were simulated and analyzed. Actual storm tracks obtained from the Joint Typhoon Warning Center in Guam, Mariana Islands, were used for this research. The application of the Kalman tracker to a tropical storm's wind speed tracking was also investigated by using the best track data and observed data. Keywords: Storm tracking; Computerized simulation. Theses.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1989
Accession Number
ADA220413

Entities

People

  • Asim Mutaf

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Computer Programs
  • Computer Simulations
  • Computers
  • Databases
  • Detectors
  • Filters
  • Hurricane Tracking
  • Hurricanes
  • Kalman Filters
  • Latitude
  • Longitude
  • Sea Level Rise
  • Simulations
  • Storm Surges
  • Tropical Cyclones

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Science/Meteorology
  • Computer Science.