Predictability and Ensemble-Forecast Skill Enhancement Based on the Probability Density Function Estimation

Abstract

My long term goal is to make substantial contributions to enhancement of forecast skills in numerical prediction for the oceans and atmosphere, by deepening our knowledge concerning nature of predictability. I place my emphasis on coherent structures of the geophysical flows and transition mechanism associated with them.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2000
Accession Number
ADA624633

Entities

People

  • Kayo Ide

Organizations

  • University of California, Los Angeles

Tags

DTIC Thesaurus Topics

  • Assimilation
  • Atmospheres
  • Boundaries
  • Data Science
  • Dynamics
  • Filters
  • Filtration
  • Flow
  • Fluid Flow
  • Geometry
  • Information Science
  • Kalman Filters
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Transitions
  • Two Dimensional

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Instructional Design and Training Evaluation.
  • Systems Analysis and Design