Use of VAS Data to Diagnose the Mesoscale Environment of Convective Storms

Raymond M. Zehr NOAA/NESDIS/Regional and Mesoscale Meteorology Branch, Cooperative Institute for Research in the Atmosphere (CIRA), Colorado State University, Fort Collins, Colorado

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James F. W. Purdom NOAA/NESDIS/Regional and Mesoscale Meteorology Branch, Cooperative Institute for Research in the Atmosphere (CIRA), Colorado State University, Fort Collins, Colorado

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John F. Weaver NOAA/NESDIS/Regional and Mesoscale Meteorology Branch, Cooperative Institute for Research in the Atmosphere (CIRA), Colorado State University, Fort Collins, Colorado

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Robert N. Green NOAA/NESDIS/Regional and Mesoscale Meteorology Branch, Cooperative Institute for Research in the Atmosphere (CIRA), Colorado State University, Fort Collins, Colorado

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Abstract

The utility of VISSR Atmospheric Sounder (VAS) retrieval datasets for mesoscale analysis is explored. A detailed mesoscale air mass analysis method is presented in which VAS soundings, satellite imagery, and conventional surface data are used to diagnose mesoscale differences in air mass character. Comparisons are made with radiosonde observations of the same air mass differences. A mesoscale air mass analysis is presented with a discussion of the role that the various air masses play in subsequent convective development.

In a second technique, several VAS-derived thermodynamic parameters, such as positive and negative buoyant energy, are shown to be well suited to operational forecasting of convective storm development and evolution. The derivation of these parameters and their applications in forecasting are illustrated.

Abstract

The utility of VISSR Atmospheric Sounder (VAS) retrieval datasets for mesoscale analysis is explored. A detailed mesoscale air mass analysis method is presented in which VAS soundings, satellite imagery, and conventional surface data are used to diagnose mesoscale differences in air mass character. Comparisons are made with radiosonde observations of the same air mass differences. A mesoscale air mass analysis is presented with a discussion of the role that the various air masses play in subsequent convective development.

In a second technique, several VAS-derived thermodynamic parameters, such as positive and negative buoyant energy, are shown to be well suited to operational forecasting of convective storm development and evolution. The derivation of these parameters and their applications in forecasting are illustrated.

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