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Parameterized Updraft Mass Flux as a Predictor of Convective Intensity

Parameterized Updraft Mass Flux as a Predictor of Convective Intensity Parameterized updraft mass flux, available as a unique predictive field from the Kain–Fritsch (KF) convective parameterization, is presented as a potentially valuable predictor of convective intensity. The KF scheme is described in some detail, focusing on a version that is currently being run semioperationally in an experimental version of the Eta Model. It is shown that updraft mass flux computed by this scheme is a function of the specific algorithm that it utilizes and is very sensitive to the thermodynamic characteristics of input soundings. These same characteristics appear to be related to the severity of convection, suggesting that updraft mass flux predicted by the KF scheme has value for predicting severe weather. This argument is supported by anecdotal evidence and a case study. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Weather and Forecasting American Meteorological Society

Parameterized Updraft Mass Flux as a Predictor of Convective Intensity

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References (21)

Publisher
American Meteorological Society
Copyright
Copyright © 2002 American Meteorological Society
ISSN
1520-0434
DOI
10.1175/1520-0434(2003)018<0106:PUMFAA>2.0.CO;2
Publisher site
See Article on Publisher Site

Abstract

Parameterized updraft mass flux, available as a unique predictive field from the Kain–Fritsch (KF) convective parameterization, is presented as a potentially valuable predictor of convective intensity. The KF scheme is described in some detail, focusing on a version that is currently being run semioperationally in an experimental version of the Eta Model. It is shown that updraft mass flux computed by this scheme is a function of the specific algorithm that it utilizes and is very sensitive to the thermodynamic characteristics of input soundings. These same characteristics appear to be related to the severity of convection, suggesting that updraft mass flux predicted by the KF scheme has value for predicting severe weather. This argument is supported by anecdotal evidence and a case study.

Journal

Weather and ForecastingAmerican Meteorological Society

Published: Mar 28, 2002

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