A proposed model-based methodology for feature-specific prediction for high-impact weather

Jacob R. Carley; Benjamin R.J. Schwedler; Michael E. Baldwin; Robert J. Trapp; John Kwiatkowski; Jeffrey Logsdon; Steven J. Weiss

doi:10.1175/WAF-D-10-05008.1

A proposed model-based methodology for feature-specific prediction for high-impact weather

Jacob R. Carley, Benjamin R.J. Schwedler, Michael E. Baldwin, Robert J. Trapp, John Kwiatkowski, Jeffrey Logsdon, Steven J. Weiss

Research output: Contribution to journal › Article › peer-review

Abstract

A feature-specific forecasting method for high-impact weather events that takes advantage of high-resolution numerical weather prediction models and spatial forecast verification methodology is proposed. An application of this method to the prediction of a severe convective storm event is given.

Original language	English (US)
Pages (from-to)	243-249
Number of pages	7
Journal	Weather and Forecasting
Volume	26
Issue number	2
DOIs	https://doi.org/10.1175/WAF-D-10-05008.1
State	Published - Apr 2011
Externally published	Yes

ASJC Scopus subject areas

Atmospheric Science

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10.1175/WAF-D-10-05008.1

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title = "A proposed model-based methodology for feature-specific prediction for high-impact weather",

abstract = "A feature-specific forecasting method for high-impact weather events that takes advantage of high-resolution numerical weather prediction models and spatial forecast verification methodology is proposed. An application of this method to the prediction of a severe convective storm event is given.",

author = "Carley, {Jacob R.} and Schwedler, {Benjamin R.J.} and Baldwin, {Michael E.} and Trapp, {Robert J.} and John Kwiatkowski and Jeffrey Logsdon and Weiss, {Steven J.}",

year = "2011",

month = apr,

doi = "10.1175/WAF-D-10-05008.1",

language = "English (US)",

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journal = "Weather and Forecasting",

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AU - Schwedler, Benjamin R.J.

AU - Baldwin, Michael E.

AU - Trapp, Robert J.

AU - Kwiatkowski, John

AU - Logsdon, Jeffrey

AU - Weiss, Steven J.

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A proposed model-based methodology for feature-specific prediction for high-impact weather

Abstract

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