摘要
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.
| 源语言 | 英语 |
|---|---|
| 页(从-至) | 1363-1387 |
| 页数 | 25 |
| 期刊 | Bulletin of the American Meteorological Society |
| 卷 | 93 |
| 期 | 9 |
| DOI | |
| 出版状态 | 已出版 - 9月 2012 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 13 气候行动
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