An Evaluation of High-Resolution Modeling and Statistical Forecast Techniques Over Complex Terrain

Abstract

Local topographic effects and spatial land-surface variability present unique challenges for weather forecasting in areas of complex terrain. The primary goal of this research is to improve the accuracy of weather forecasts over the fine-scale topography of the Intermountain West using statistical and numerical modeling techniques. Specifically, we seek to determine where, when and why decreasing the horizontal grid spacing of numerical models improves forecast accuracy and to evaluate the added benefits of using statistical techniques to correct for systematic numerical model deficiencies.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2004
Accession Number
ADA425524

Entities

People

  • Kenneth A. Hart

Organizations

  • University of Utah

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Air Force
  • Atmospheric Sciences
  • Atmospheric Temperature
  • Boundary Layer
  • Computer Programs
  • Computers
  • Data Analysis
  • Detection
  • Equations
  • High Resolution
  • Information Science
  • Lapse Rate
  • Meteorology
  • Neural Networks
  • Surface Temperature
  • United States
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

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

Technology Areas

  • Space