| AIRS资料质量控制对飓风路径模拟的影响试验 |
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| 引用本文： | 王云峰,韩月琪,马刚,刘辉,王雨顺.AIRS资料质量控制对飓风路径模拟的影响试验[J].气象科学,2014,34(4):383-389. |
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| 作者姓名： | 王云峰 韩月琪 马刚 刘辉 王雨顺 |
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| 作者单位： | 解放军理工大学 气象海洋学院, 南京 211101;解放军理工大学 气象海洋学院, 南京 211101;国家卫星气象中心, 北京 100081;国家卫星气象中心, 北京 100081;南京师范大学 数学科学学院, 南京 210029 |
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| 基金项目： | 国际科技合作项目（2010DFB33880）;国家自然科学基金资助项目（41375106;41230421;41105065;11271195） |
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| 摘 要： | 对WRFDA模式中AIRS亮温资料质量控制方案进行了检验,并以美国Earl飓风为例进行数值试验,研究了质量控制方案对飓风路径模拟的影响。试验结果表明:WRFDA模式中11条质量控制原则对红外高光谱AIRS亮温资料的同化效果影响很大,不论是加入逐条质量控制原则,还是缺席某条质量控制原则,飓风路径的模拟情况都比不上控制试验;而在所有质量控制原则都加入之后,在大部分模拟时段内同化试验中模拟的飓风路径偏差都要小于控制试验,而且同化试验中最大路径偏差也小于控制试验。不同的质量控制原则对观测资料的过滤能力也不一样,其中地表发射率Jacobian分量检测、临边检测、云检测和SST检测等4个质量控制原则剔除卫星资料数量相对较多。本文中AIRS亮温资料质量控制方案的对比试验,可以为中国发展红外高光谱卫星系统提供非常有益的借鉴和参考。
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| 关 键 词： | AIRS 质量控制方案 WRFDA模式 飓风路径 |
| 收稿时间： | 2012/11/27 0:00:00 |
| 修稿时间： | 2013/6/10 0:00:00 |
Influencial experiments of AIRS data quality control method on hurricane track simulation |
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| WANG Yunfeng,HAN Yueqi,MA Gang,LIU Hui and WANG Yushun.Influencial experiments of AIRS data quality control method on hurricane track simulation[J].Scientia Meteorologica Sinica,2014,34(4):383-389. |
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| Authors: | WANG Yunfeng HAN Yueqi MA Gang LIU Hui and WANG Yushun |
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| Institution: | Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China;Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China;Center of Satellite Meteorology, China Meteorological Administration, Beijing 100081, China;Center of Satellite Meteorology, China Meteorological Administration, Beijing 100081, China;School of Mathematical Sciences, Nanjing Normal University, Nanjing 210029, China |
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| Abstract: | In order to examine the quality control (QC) method of Atmospheric Infrared Sounder (AIRS) data in Weather Research Forecast Data Assimilation system (WRFDA) model and numerical experiments on hurricane Earl in America, the effect of QC method on hurricane track simulation was studied. The results show that: 11 quality control principles in WRFDA model had great effects on AIRS brightness temperature data assimlation. No matter whether the quality control principles were joined one by one, or the certain one was neglected, the simulation effects of hurricane tracks in assimilation experiments were not as great as those in control experiments. If all quality control principles were, the track errors as well as the maximal one in assimilation experiments were less than those in control experiments during most simulation periods. The capacity of different quality control principles for eliminating "bad" data were different. Four quality control principles like surface emissivity Jacobian component detection, limb detection, cloud detection and SST detection can all remove larger number of satellite data. The comparison experiments of different QC principles of AIRS brightness temperature in this paper can help develop infrared high spectrum satellite system in China. |
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| Keywords: | AIRS QC method WRFDA model Hurricane track |
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