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| WRF模式在南京数值天气预报中的应用 | |
| 引用本文： | 周鹏,常兰,李鹏,徐强君,张成伟. WRF模式在南京数值天气预报中的应用[J]. 气象科学, 2011, 31(5): 598-603 |
| 作者姓名： | 周鹏 常兰 李鹏 徐强君 张成伟 |
| 作者单位： | 1. 南京大学大气科学院,南京210093;江苏省气象台,南京210008 2. 扬州市邗江区气象局,江苏扬州,225009 3. 黑龙江省人工影响天气办公室,哈尔滨,150030 4. 民航华东地区空管局气象中心,上海,200335 5. 民航深圳空中交通管理站气象台,深圳,518128 |
| 基金项目： | 江苏省科技厅社会发展项目（BS2007088） |
| 摘 要： | 利用最新版本的WRFV3.1进行了南京地区的高分辨率的数值天气预报，对预报结果进行了细致的评估，结果表明：模式很好的预报出了温度、相对湿度及风场的逐日变化特征。0~24 h预报的平均温度和实况基本一致，预报的击中率为0.73；预报的平均相对湿度较实况偏高了0.3%，击中率为0.74；模式预报的风场跟实况较为吻合，对风速增大、减小的趋势预报非常准确。另外， 模式对层云降水预报较好，能很好的把握了降水的强度及空间变化，但对积云强降水预报，结果不理想，降水范围、强度均偏小，持续时间偏短。 |
| 关 键 词： | 数值天气预报；降水；WRF模式 |
| 收稿时间： | 2010-08-07 |
| 修稿时间： | 2010-11-06 |
The application of WRF model in the weather forecast of Nanjing |
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| ZHOU Peng,CHANG Lan,LI Peng,XU Qiangjun and ZHANG Chengwei. The application of WRF model in the weather forecast of Nanjing[J]. Journal of the Meteorological Sciences, 2011, 31(5): 598-603 | |
| Authors: | ZHOU Peng CHANG Lan LI Peng XU Qiangjun ZHANG Chengwei |
| Affiliation: | 1 School of Atmospheric Science, Nanjing University, Nanjing 210093,China;2 Jiangsu Meteorological Observatory, Nanjing 210008,China;;3 Hanjiang Meteorological Bureau, Jiangsu Yangzhou 225009,China;;4 Heilongjiang Weather Modification Center, Harbin 150030,China;;5 Meteorological Center of Air Traffic Control Bureau, East China, CAAC, Shanghai 200335,China;;6 The Meteorological Observatory of Shenzhen Air Traffic Management Station, CAAC, Shenzhen 518128,China |
| Abstract: | In this paper,the latest version of WRFv3.1 was used to predict the weather condition in high resolution for Nanjing,and the predicted results were compared with the observations in detail.The results showed that the model successfully predicted the characteristic of the day-to-day variations of temperature,relative humidity and winds.The mean temperatures of 0-24 h prediction were very close with the observations,with hit rate of 0.73;the predicted relative humidity were slightly higher than the observatio... |
| Keywords: | Numerical weather forecast Precipitation WRF model |
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