| 混合集合预报法在华南暴雨短期预报中的试验 |
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| 引用本文： | 唐圣钧,王东海,杜钧,周镜石.混合集合预报法在华南暴雨短期预报中的试验[J].应用气象学报,2015,26(6):669-679. |
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| 作者姓名： | 唐圣钧 王东海 杜钧 周镜石 |
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| 作者单位： | 1.成都信息工程大学大气科学学院，成都 610225 |
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| 基金项目： | 国家自然科学基金项目（91437221），国家重点基础研究发展计划（2012CB417204），公益性行业（气象）科研专项（GYHY201306005） |
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| 摘 要： | -WRF多模式集合3组试验，对比分析混合集合预报法与传统方法的降水预报效果。结果表明:ARPS模式集合改善了广东省南部局地强降水预报，该方法在中雨、大雨、暴雨量级改进效果显著。WRF模式集合对广东省北部强降水预报优于ARPS模式集合，但空报、漏报率较大，该方法有一定局限性。ARPS-WRF多模式集合在降水落区和量级预报上均优于传统方法。混合集合预报法利用低分辨率 (36 km) 集合预报和高分辨率 (12 km) 控制预报实现了高分辨率 (12 km) 集合预报，改善了降水预报效果，该方法可为业务高分辨率集合预报提供参考。
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| 关 键 词： | 混合集合预报法 高分辨率 华南暴雨 |
| 收稿时间： | 2015-03-25 |
The Experiment of Hybrid Ensemble Forecast Approach in Short range Forecast for South China Rainstorm |
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| Tang Shengjun,Wang Donghai,Du Jun and Zhou Jingshi.The Experiment of Hybrid Ensemble Forecast Approach in Short range Forecast for South China Rainstorm[J].Quarterly Journal of Applied Meteorology,2015,26(6):669-679. |
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| Authors: | Tang Shengjun Wang Donghai Du Jun and Zhou Jingshi |
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| Affiliation: | 1.College of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 6102252.Yalong River Hydropower Development Company, Ltd, Chengdu 6100513.State Key Lab of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 1000814.National Centers for Environmental Prediction/National Oceanic and Atmospheric Administration, USA, Maryland 20740 |
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| Abstract: | Hybrid ensemble forecast approach composed of high resolution and low resolution model is tested with multi initial conditions and multi physics ensemble prediction system (EPS) based on ARPS and WRF. Three kinds of ensemble prediction experiments (ARPS model ensemble, WRF model ensemble and ARPS WRF multi model ensemble) are designed to comparatively analyze the precipitation effect between the hybrid ensemble forecast approach and traditional ensemble forecast approach based on the heavy rainfall event occurred in Southern China on 8 May 2013. ARPS model ensemble improves local precipitation simulation over southern part of Guangdong Province. The center intensity of southern ensemble mean reaches 150 mm, close to the observation, but its location shifts northeast a little. The distribution of ensemble spread is similar to that of ensemble mean. The probabilistic forecast area of the approach is close to the observation in terms of the torrential rain and downpour forecast. The Threat Score (TS) show that the greatest improvements for order of magnitude precipitation are obtained by the hybrid ensemble approach. The Brier Score (BS) also shows that the improvement on moderate rain, heavy rain and torrential rain is obvious, but the improvement on downpour and excessive storm is limited for the approach. WRF model ensemble has a better performance on precipitation simulation over northern part of Guangdong Province, but the hybrid approach is limited because of the large frequency of false alarms and misses. ARPS WRF multi models obviously improve precipitation simulation which has a better performance than those of traditional ensemble forecast approach on precipitation area and intensity. The center intensity of southern precipitation reaches 70 mm, less than the observation and it is caused by the weaker WRF members forecast. The distribution of ensemble spread is similar to that of ensemble mean. The probabilistic forecast of torrential rain and downpour in southern area is best up to 40%. The TS shows that the greatest improvements for order of magnitude precipitation are obtained by the hybrid ensemble approach, especially for heavy rain, torrential rain and downpour. The BS also shows that the improvement on moderate rain, heavy rain and torrential rain is obvious. ARPS WRF multi models have better performance than ARPS model on the forecast of downpour and excessive storm. Therefore, the hybrid ensemble forecast approach achieves high resolution ensemble forecast system and improves the precipitation simulation combining low resolution ensemble run with single high resolution control model run. Meanwhile, a reference to high resolution ensemble forecast system is provided for operational weather prediction centers. |
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| Keywords: | hybrid ensemble forecast approach high resolution South China rainstorm |
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