Survey of Available Systems for Identifying Systematic Errors in Numerical Model Weather Forecasts.

Abstract

A generalized and flexible software plane to identify systematic errors in numerical forecast models is described. The plan is applicable to different types of models and can be altered to operate in different modes. Examined are various techniques which can be used within the plan, in terms of advantages and disadvantages. Estimates are made of possible impacts upon an existing operational environment and of the useage of resources needed by a system for identifying systematic errors. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1981
Accession Number
ADA098848

Entities

People

  • Patrick A. Harr
  • William D. Groscup

Organizations

  • Control Data Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Sets
  • Data Storage Systems
  • Databases
  • Environment
  • Fluid Dynamics
  • Grids
  • Meteorology
  • Navy
  • Pattern Recognition
  • Regression Analysis
  • Research Facilities
  • United States
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Systems Analysis and Design