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contributor authorKain, John S.
contributor authorWeiss, S. J.
contributor authorLevit, J. J.
contributor authorBaldwin, M. E.
contributor authorBright, D. R.
date accessioned2017-06-09T17:35:05Z
date available2017-06-09T17:35:05Z
date copyright2006/04/01
date issued2006
identifier issn0882-8156
identifier otherams-87594.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231280
description abstractConvection-allowing configurations of the Weather Research and Forecast (WRF) model were evaluated during the 2004 Storm Prediction Center?National Severe Storms Laboratory Spring Program in a simulated severe weather forecasting environment. The utility of the WRF forecasts was assessed in two different ways. First, WRF output was used in the preparation of daily experimental human forecasts for severe weather. These forecasts were compared with corresponding predictions made without access to WRF data to provide a measure of the impact of the experimental data on the human decision-making process. Second, WRF output was compared directly with output from current operational forecast models. Results indicate that human forecasts showed a small, but measurable, improvement when forecasters had access to the high-resolution WRF output and, in the mean, the WRF output received higher ratings than the operational Eta Model on subjective performance measures related to convective initiation, evolution, and mode. The results suggest that convection-allowing models have the potential to provide a value-added benefit to the traditional guidance package used by severe weather forecasters.
publisherAmerican Meteorological Society
titleExamination of Convection-Allowing Configurations of the WRF Model for the Prediction of Severe Convective Weather: The SPC/NSSL Spring Program 2004
typeJournal Paper
journal volume21
journal issue2
journal titleWeather and Forecasting
identifier doi10.1175/WAF906.1
journal fristpage167
journal lastpage181
treeWeather and Forecasting:;2006:;volume( 021 ):;issue: 002
contenttypeFulltext


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