Regional climate-weather research and forecasting model, an extension of the WRF, incorporate a comprehensive ensemble of alternative physics representations, and facilitate seamless applications for regional weather forecasting and climate prediction. For model evaluation, daily total precipitation and daily mean surface air temperature data are based on measurements from 7,235 National Weather Service cooperative stations across the United States. A preliminary test demonstrated the capability of a physics ensemble approach to improve precipitation prediction at regional-local scales. The skill enhancement, with increased occurrence of higher correlation coefficients and smaller rms errors, is most pronounced during summer, followed by autumn and spring, but rather weak in winter.
|Original language||English (US)|
|Number of pages||25|
|Journal||Bulletin of the American Meteorological Society|
|State||Published - Sep 2012|
ASJC Scopus subject areas
- Atmospheric Science