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| C波段雷达反射率资料的同化与数值模拟 | |
| 引用本文： | 李平,解以扬,李英华,官莉,温焰军.C波段雷达反射率资料的同化与数值模拟[J].气象科技,2013,41(3):506-515. |
| 作者姓名： | 李平 解以扬 李英华 官莉 温焰军 |
| 作者单位： | 1. 南京信息工程大学大气物理学院,南京210044;解放军95915部队气象台,静海301606 2. 天津市气象科学研究所,天津,300074 3. 南京信息工程大学大气物理学院,南京,210044 4. 解放军95915部队气象台,静海,301606 |
| 基金项目： | 国家科技支撑计划重点项目(2008BAC37B01、2008BAC37B05)、天津市气象局项目“C波段雷达资料在中尺度模式中的应用研究”(201103)资助 |
| 摘 要： | 利用ARPS模式(Advanced Regional Prediction System)的资料分析系统ADAS(ARPS Data Analysis Sys-tem),以NCEP GFS资料为背景场对我国西北地区CINRAD-CB\CC型雷达反射率资料进行同化试验研究,并借助于WRF(Weather Research and Forecasting Model)模式,对发生在黄河河套及河北地区的一次天气过程进行个例模拟试验。不同模拟方案模拟结果的对比分析和短时预报检验表明:①C波段雷达反射率资料的引入与S波段雷达反射率资料在空间覆盖上构成互补,与卫星、地面等资料的云综合分析能够分析出与实况更为接近的降水场和垂直结构信息;②同化了C波段雷达反射率资料的试验方案在模拟回波系统演变上优于未同化的,但由于模拟低层暖湿条件不足,系统逐渐衰弱与实况不符;③对比实况降水发现,区域C波段雷达反射率资料的同化对短时降水预报效果有一定改善。 |
| 关 键 词： | ADAS 云分析 物理初值化 云水混合比 |
| 收稿时间： | 2/8/2012 12:00:00 AM |
| 修稿时间： | 8/6/2012 12:00:00 AM |
Assimilation of C-Band Doppler Radar Reflectivity Data and Application in Numerical Simulation |
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| Li Ping,Xie Yiyang,Li Yinghu,Guan Li and Wen Yanjun.Assimilation of C-Band Doppler Radar Reflectivity Data and Application in Numerical Simulation[J].Meteorological Science and Technology,2013,41(3):506-515. | |
| Authors: | Li Ping Xie Yiyang Li Yinghu Guan Li and Wen Yanjun |
| Institution: | 1School of Atmospheric Physics,Nanjing University of Information Science and Technology,Nanjing 210044;2Tianjin Institute of Meteorological Sciences,Tianjin 300074;3Meteorological Observatory,Unit 95915of PLA,Jinghai 301606) |
| Abstract: | By using ADAS (ARPS Data Analysis System) and NCEP GFS data as the background field, an assimilation experiment is conducted on CB\\CC Doppler radar reflectivity in Northwest China, and by means of WRF (Weather Research and Forecasting Model), a weather process occurred around the Hetao region of Yellow River and Hebei Province is simulated. The contrast between the experiment results using different simulation schemes and the forecasting verification show that: (1) the introducing of the C Band radar reflectivity data is complementary in space with the S Band radar data, and the rainfall field and vertical structure information given by the complex cloud analysis scheme with satellite and surface observation data are closer to reality. (2) The scheme with C Band radar reflectivity assimilated is superior to the unassimilated for the simulation of the reflectivity echoes, but the simulated system is gradually ebbed because of the inadequate water supply, which is different from reality. (3) The contrast between different assimilation schemes with the real precipitation indicates that the assimilated reflectivities improved the short time precipitation forecast. |
| Keywords: | ADAS cloud analysis physical initialization cloud water mixing ratio |
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