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| 双多普勒雷达风场反演资料的同化应用试验 | |
| 引用本文： | 杨艳蓉,王振会,周海光,张沛源.双多普勒雷达风场反演资料的同化应用试验[J].南京气象学院学报,2009,32(4):553-557. |
| 作者姓名： | 杨艳蓉 王振会 周海光 张沛源 |
| 作者单位： | 1. 南京林业大学森林资源与环境学院,江苏,南京,210037;南京信息工程大学气象灾害省都共建教育部重点实验室,江苏,南京,210044;南京信息工程大学遥感学院,江苏,南京,210044 2. 南京信息工程大学气象灾害省都共建教育部重点实验室,江苏,南京,210044;南京信息工程大学遥感学院,江苏,南京,210044 3. 中国气象科学研究院灾害天气国家重点实验室,北京,100081 4. 中国气象科学研究院,北京,100081 |
| 基金项目： | 公益性行业科研专项，北极阁基金 |
| 摘 要： | 利用合肥、马鞍山2部多普勒雷达联合观测资料及多部多普勒雷达合成和连续调整技术（MUSCAT），在笛卡尔坐标下反演得到三维风场。将得到的风场通过由CAPS（center for analysis and prediction of storm）研发的ARPS（advancedregional prediction systemv5．2．4）模式及数据处理系统ADAS（ARPS data analysissystem）进行同化试验。结果表明，反演风场信息可以改善短时模拟场、特别是风场的状况；但由于对湿度场等的改进较小，致使预报的3h降水量与实况有出入。 |
| 关 键 词： | 双多普勒雷达 风场反演 同化 |
Assimilation Experiments with Dual-Doppler Wind Field Retrieval Data |
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| YANG Yan-tong,WANG Zhen-hui,ZHOU Hai-guang,ZHANG Pei-yuan.Assimilation Experiments with Dual-Doppler Wind Field Retrieval Data[J].Journal of Nanjing Institute of Meteorology,2009,32(4):553-557. | |
| Authors: | YANG Yan-tong WANG Zhen-hui ZHOU Hai-guang ZHANG Pei-yuan |
| Institution: | YANG Yan-rong, WANG Zhen-hui, ZHOU Hai-guang, ZHANG Pei-yuan ( 1. School of Forest Resources and Environment, NJFU, Nanjing 210037, China; 2. Key Laboratory of Meteorological Disaster of Ministry of Education, NUIST, Nanjing 210044, China; 3. School of Remote Sensing,NUIST, Nanjing 210044, China; 4. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China; 5. Chinese Academy of Meteorological Sciences, Beijing 100081, China) |
| Abstract: | Three dimensional wind field are obtained in Cartesian coordinate with Hefei and Maanshan dual-Doppler radars united observations by means of a Multiple-Doppler Synthesis and Continuity Ad-justment Technique(MUSCAT). The retrieval wind field is assimilated in mesoscale numerical model ARPS (advanced regional prediction system), developed by Center for Analysis and Prediction of Storm (CAPS), and ARPS Data Analysis System(ADAS). The results show that the retrieval wind field can improve effectively short-time simulation field, especially wind field. For the condition of humidity without reflectivity information, however, there are some differences between the predicted and observed 3 h precipitation as a result of the humidity field improved less. |
| Keywords: | Dual-Doppler radar wind field retrieval assimilation |
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