Error Growth in Poor ECMWF Forecasts over the Contiguous United States

Abstract

Successive improvements to the European Center for Medium-range Weather Forecasting model have resulted in improved forecast performance over the Contiguous United States (CONUS). While the overall performance of the model in this region was found to have improved during the period of the 1981-1990 winter seasons, the number of poor forecasts increased over this time. This study uses the Root Mean Square (RMS) error to measure the performance of 5-day 500 mb winter forecasts over the CONUS. Poor and good forecasts were defined in terms of the 10-year distribution of the RMS values between the 1981 and 1990 winter seasons. Subjective analysis of a subset of poor forecasts yielded no obvious patterns of error growth, location or propagation in the evolution of poor forecasts. A tendency was noted for in situ amplification of forecast errors. Additionally, successive forecasts verifying on the same day were found to have similar error patterns, with increased amplitudes at longer forecast lengths. This implies that the initial conditions are not a significant source of the error in poor forecasts.

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Document Details

Document Type
Technical Report
Publication Date
Dec 09, 1993
Accession Number
ADA275297

Entities

People

  • Norman R. Modlin

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Computer Programs
  • Computers
  • Data Analysis
  • Data Science
  • Grids
  • Information Science
  • Meteorology
  • North America
  • Rocky Mountains
  • Standing Waves
  • Statistical Tests
  • Theses
  • United States
  • Universities
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Polar and Arctic Studies