Analysis of Significant Weather on Meso-Alpha Scales Using Conventional and Remotely-Sensed Data - Further Studies

Abstract

This report summarizes three M.S. Thesis research. Chapter 2 examines the atmospheric structures accompanying some meso-alpha-scale cloud patterns and the surface weather affiliated with them, via detailed analyses of wind fields involving time-space conversion of hourly profiler-measured horizontal winds and rawinsonde winds and temperatures. Chapter 3 summarizes a study using profiler three-dimensional winds at 5-minute intervals (or less) to examine the structure of meso-beta-scale precipitation bonds. In Chapter 4 winds from 2- and 3- station wind profiler networks are used to examine the circulations associated with atmospheric fronts. A number of analysis techniques were examined for use with wind profiler data. The deployment of a network of wind profilers across the Midwest will allow for real-time analysis improvements using the techniques described above, and these improved diagnoses should lead to improvements in now casting and very-short-term forecasting. Further, the insertion of time-height series of data from the profiler network into mesoscale numerical weather prediction models, via four-dimensional data assimilation, will allow for impressive improvements in mesoscale short-term forecasting. (jhd)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1990
Accession Number
ADA227588

Entities

People

  • Dennis W. Thomson
  • Gregory S. Forbes
  • John J. Cahir
  • Ming-tzer Lee
  • Timothy Dye

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Ageostrophy
  • Air Force
  • Atmospheric Sciences
  • Doppler Radar
  • Four Dimensional
  • Measurement
  • Meteorology
  • North Carolina
  • Physics Laboratories
  • Radiosondes
  • Satellite Imaging
  • Temperature Gradients
  • Three Dimensional
  • Turbulence
  • Two Dimensional
  • Weather Forecasting
  • Wind Velocity

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Business Analytics

Technology Areas

  • Space