Development and Testing of an Interactive Procedure for the Improvement of Objective Analyses.

Abstract

A software package has been developed for the Penn State/National Center for Atmospheric Research Mesoscale Model to allow interactive bogusing. This package was developed to allow the production of more realistic objective analyses. Previously, the process of inserting synthetic data in order to improve the objective analysis was done manually, which was inefficient and time-consuming. The new procedure described in this thesis uses newly developed bogusing software to make the process more efficient. The software has three parts: a data creation (bogusing) component, an objective analysis component, and graphics routines for displaying objective analysis output. To use this software, the user transfers an objective analysis from NCAR, where it is generated on the CRAY computer, to the user's local site. Next, these data are loaded into a supermicrocomputer. Using the graphics software, the user checks the analyses to see if bogus data are needed. If so, the bogusing software is used to efficiently create the synthetic data, and the objective analysis software is to run to analyze the influence of these data. The user reexamines the analyses with the interactive graphics software and can repeat the cycle as needed until the desired initial conditions are created. These newly created bogus data are then sent back to the CRAY for use as numerical model initial conditions.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1987
Accession Number
ADA186595

Entities

People

  • Thomas M. Hamil

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Case Studies
  • Computer Programming
  • Computer Programs
  • Computers
  • Graphics
  • Grids
  • Human-Machine Interaction
  • Meteorology
  • Satellite Imaging
  • Sea Level
  • Software Development
  • Surface Temperature
  • Temperature Gradients
  • Three Dimensional
  • Two Dimensional
  • Weather Forecasting
  • Weighting Functions

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)