The Role of a Lid in the 31 May 1985 Tornado Outbreak

Abstract

The Carlson-Ludlam Conceptual Model is useful for predicting severe convective outbreaks. Central to the entire model is the presence of an elevated mixed layer that caps and then helps focus the release of built-up latent instability in a concentrated area. An historical review of the model's development and a thorough discussion of the concepts involved is presented. It is concluded that it is very successful at explaining many of the processes which produce severe convection. Subjective analysis necessary to use this model, however, is much too time consuming for operational forecasting. Therefore, a computer application is presented that objectively delineates lid involvement. The 31 May 1985 Tornado Outbreak occurred in the NE United States. Analysis reveals that there were four critical factors in the pre-storm environment responsible for the severity of the outbreak: (1) the presence of a lid and the resulting build-up of a high wet-bulb potential temperature in the boundary layer, (2) readily available soil moisture, (3) underrunning, and (4) forced ascent associated with baroclinic forcing from a migrating short wave. Because vigorous short waves move across the NE United States several times each Spring and such outbreaks rarely occur, it is concluded that the lid was the most critical factor. Theses.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 1988
Accession Number
ADA196684

Entities

People

  • Robert J. Farrell Jr.

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Climate Change
  • Convection
  • Geography
  • Heat Energy
  • Isotherms
  • Lapse Rate
  • Latent Heat
  • Measurement
  • Meteorology
  • New York
  • North America
  • Statistics
  • Terrain
  • Topography
  • United States
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Systems Analysis and Design