The importance of understanding mesoscale model parameterization schemes for weather forecasting

J. V.Jr Cortinas, David Jonathan Stensrud

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

A severe weather outbreak that occurred on 21-23 November 1992 in the southern US is used to illustrate how an understanding of model parameterization schemes can help in the evaluation and utilization of mesoscale model output. Results from a mesoscale model simulation show that although the model accurately simulated many of the observed mesoscale features, there are several aspects of the model simulation that are not perfect. Mesoscale model output also is used to provide guidance to evaluate the severe weather threat. By using the model output to produce hourly calculations of convective available potential energy (CAPE) and storm relative environmental helicity (SREH), it is found that regions with positive CAPE, SREH greater than 150 m2 s-2, and model-produced convective rainfall correspond well with areas in which supercell thunderstorms developed. These parameters accentuate the need for continuous monitoring in an operational environment and frequent model output times.

Original languageEnglish (US)
Pages (from-to)716-740
Number of pages25
JournalWeather and Forecasting
Volume10
Issue number4
StatePublished - Dec 1 1995

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weather forecasting
parameterization
severe weather
potential energy
supercell
thunderstorm
simulation
rainfall

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Cite this

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The importance of understanding mesoscale model parameterization schemes for weather forecasting. / Cortinas, J. V.Jr; Stensrud, David Jonathan.

In: Weather and Forecasting, Vol. 10, No. 4, 01.12.1995, p. 716-740.

Research output: Contribution to journalArticle

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