Forecasting the Ducting of Electromagnetic Waves on the Mesoscale

Abstract

Ducting of electromagnetic waves in the lower troposphere can have a significant impact on radar coverage. However, despite the importance of identifying ducting conditions, operational forecasts of these conditions are still based on a primitive, single-station approach. Single-Station ducting analyses are available operationally through the Navy's Integrated Refractive Effects Prediction System (IREPS) software. 'Mis software can provide a satisfactory point analysis of ducting conditions, but significant spatial and temporal variations of ducting in the atmosphere can also seriously limit the utility of the output. By combining IREPS with mesoscale model output, however, there is the opportunity for significant improvement in the predictability of ducting conditions. Subsidence inversions are a primary cause of atmospheric ducting. These inversions are common during the summer season over the west coast of the United States, particularly west-central California. Fortunately, they can be effectively modeled because they are generally very strong and quite persistent. In this thesis, a study of the predictability of inversion-generated ducting conditions over west-central California is conducted by combining output from the Penn State/NCAR non-hydrostatic mesoscale modeling system (MM5) with the IREPS ducting analysis software.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1993
Accession Number
ADA268101

Entities

People

  • Scott P. Simcox

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Artificial Satellites
  • Boundary Layer
  • Detection
  • Dew Point
  • Geography
  • Grids
  • High Pressure
  • Meteorology
  • Pacific Ocean
  • Radar
  • Radio Waves
  • Temperature Gradients
  • Terrain
  • Topography
  • United States
  • Water Vapor

Readers

  • Atmospheric Science/Meteorology
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers