Climate Prediction. Part 1. Cyclone Frequency.

Abstract

Climate prediction models based on multivariate analyses of cyclone frequencies are constructed from historical data (1885-1960) and evaluated for forecast skill on independent data (1960-1983). Cyclone frequencies are predicted for six-month duration seasons at 87 locations over eastern North America and the western North Atlantic from 27.5 deg to 55 deg. Three types of principal components models are constructed and tested. Model I uses unrotated principal component axes; Model II uses rigid rotation of the component axes; and, Model III uses oblique rotations of the component axes. Forecast skill averages 75% correct for 2 category measure of forecasts.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1984
Accession Number
ADA143576

Entities

People

  • B. P. Hayden

Organizations

  • University of Virginia

Tags

DTIC Thesaurus Topics

  • Climate
  • Continents
  • Cyclogenesis
  • Data Science
  • Databases
  • Ecology
  • Environment
  • Fungi
  • Geography
  • Information Science
  • Meteorology
  • Multivariate Analysis
  • North America
  • Observation
  • United States
  • Virginia
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Control Systems Engineering.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Psychometric Testing or Psychological Assessment.