| WRF-EnSRF卫星资料同化模块的构建研究 |
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| 引用本文： | 杨春,闵锦忠,陈耀登.WRF-EnSRF卫星资料同化模块的构建研究[J].大气科学学报,2015,38(4):549-556. |
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| 作者姓名： | 杨春 闵锦忠 陈耀登 |
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| 作者单位： | 气象灾害教育部重点实验室(南京信息工程大学), 江苏 南京 210044;气象灾害教育部重点实验室(南京信息工程大学), 江苏 南京 210044;气象灾害教育部重点实验室(南京信息工程大学), 江苏 南京 210044 |
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| 基金项目： | 公益性行业(气象)科研专项(GYHY(QX)200806029);国家重点基础研究发展计划(973计划)项目(2013CB430102);2012年研究生创新计划(CXLX12_0494) |
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| 摘 要： | 为加强国内卫星资料在同化系统中的应用,在自主构建的新一代WRF-EnSRF同化系统中,采用RTTOV辐射传输模式作为观测算子,并建立卫星资料读取、偏差订正及质量控制等子模块,构建出WRF-EnSRF卫星资料同化系统.运用该同化系统,同时同化NOAA-16的AMSU-A和AMSU-B的辐射率资料,进行华南暴雨过程的卫星资料同化数值模拟试验.试验结果表明:偏差订正后亮温资料拟合结果基本位于主对角线上,偏差有所降低.从TS评分看,同化试验对中雨及大雨部分的降水落区以及暴雨级别以上的降水强度的模拟效果有改善.试验证明,建立的卫星同化系统是可运行的.
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| 关 键 词： | 卫星资料同化 集合卡尔曼滤波 辐射传输模式 暴雨 |
| 收稿时间： | 2013/5/29 0:00:00 |
| 修稿时间： | 2014/6/9 0:00:00 |
Construction of WRF-EnSRF satellite data assimilation system |
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| YANG Chun,MIN Jin-zhong and CHEN Yao-deng.Construction of WRF-EnSRF satellite data assimilation system[J].大气科学学报,2015,38(4):549-556. |
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| Authors: | YANG Chun MIN Jin-zhong and CHEN Yao-deng |
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| Institution: | Key Laboratory of Meteorological Disaster(NUIST), Ministry of Education, Nanjing 210044, China;Key Laboratory of Meteorological Disaster(NUIST), Ministry of Education, Nanjing 210044, China;Key Laboratory of Meteorological Disaster(NUIST), Ministry of Education, Nanjing 210044, China |
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| Abstract: | To strengthen the application of satellite data in assimilation system,this paper constructed the WRF-EnSRF satellite data assimilation system with RTTOV radiative transfer model as the observation operator,and sat up some modules including satellite data reading,bias correction and quality control,thereby achieving the autonomy of the WRF-EnSRF satellite data assimilation system.With the assimilation system,the assimilation numerical simulation experiment of assimilating NOAA-16 AMSU-A and AMSU-B radiance data is conducted with a heavy rainfall occurred in South China.Test results show that,with bias correction,the deviation between observed and simulated brightness temperatures is reduced.For this experiment,the major effect is reflected in the improvement of amount of precipitation forecast result.For TS score,precipitation in the assimilation experiment is better than that in the control experiment at torrential rain level.Thus,it further proves the validity of the satellite data assimilation system. |
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| Keywords: | satellite data assimilation ensemble Kalman filter radiation transfer model rainstorm |
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