A Comparison of Model Performance between the Nested Grid and Eta Models.

Abstract

Assessment of the performance of the National Meteorological Center's (NMC) new Eta numerical weather prediction model requires objective evaluation through direct comparison of model forecast output to its own analysis and to the analysis of other numerical models. The ultimate goal of the Eta Model is to provide accurate mesoscale weather forecasts through the late 1990's which are superior to those currently provided by the older NGM. To accurately evaluate the Eta Model, several model forecast output fields were compared to the NGM for a common population of extratropical cyclones over a period of five months. The separate model forecasts were also evaluated against their own analysis. Selected fields included central sea level pressure. 12h central pressure change 1000-500 mb thickness at the cyclone center, and both convective and total precipitation at the cyclone center. Results indicated a consistent negative bias in forecast central pressure values for the NGM. and a positive bias for the Eta Model. Mean forecast position errors were nearly identical for both models through 36h with the Eta forecast position errors only slightly larger at 48h. Both models exhibited a slight cold bias in 1000-500 mb thickness fields at the cyclone centers with the NGM being greater. The Eta Model tended to forecast more precipitation in general and in particular the precipitation was higher for stable precipitation.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1994
Accession Number
ADA294556

Entities

People

  • Jay W. Colucci

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Atmospheric Sciences
  • Boundary Layer
  • Coordinate Systems
  • Databases
  • Grids
  • Heat Energy
  • Latent Heat
  • Meteorology
  • Military Research
  • North America
  • Oceanography
  • Precipitation
  • Sea Level
  • Statistical Analysis
  • Surface Temperature
  • United States
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation