| 双权重质量控制法在FY-3B/IRAS资料中的应用研究 |
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| 引用本文： | 王根,;刘晓蓓,;杨寅,;孔芹芹.双权重质量控制法在FY-3B/IRAS资料中的应用研究[J].成都信息工程学院学报,2014(6):609-615. |
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| 作者姓名： | 王根 ;刘晓蓓 ;杨寅 ;孔芹芹 |
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| 作者单位： | [1]安徽省气象信息中心,安徽合肥230031; [2]国家气象中心,北京100081 |
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| 基金项目： | 公益性气象行业专项资助项目（GYHY201406028,GYHY201206007）; 国际科技合作与交流专项资助项目（2011DFG23210） |
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| 摘 要： | 变分同化卫星资料前需要采用严格的质量控制方法以剔除离群资料。文中进行了风云三号B星红外分光计资料的质量控制研究。选取2012年12月26日00时至2013年1月4日18时共10天IRAS全球L1c格式资料作为研究对象,基于通道亮温偏差利用双权重质量控制法,剔除受云、地表发射率影响和误差较大的离群资料。结果表明,通过双权重质量控制后,IRAS通道亮温偏差均值和标准差整体有所减少;偏差均值和标准差随时间变化很稳定。最后把此方法耦合到GRAPES同化系统进行IRAS资料的初步质量控制应用得到结果是可行的。
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| 关 键 词： | 资料同化 风云三号B星 红外分光计 双权重质量控制法 GRAPES同化系统 |
Application of Bi-weighting Quality Control Method to FY-3B / IRAS Data |
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| Institution: | WANG Gen,LIU Xiao-bei,YANG Yin,KONG Qin-qin( 1. Anhui Meteorological Information Centre, Hefei 230031, China; 2. National Meteorological Centers, Beijing 100081, China) |
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| Abstract: | Strict quality control method is required for the satellite data in order to remove the outliers before variational assimilation is adopted. This paper studies the quality control of Feng Yun-3B Infrared Atmospheric Sounder data. The data from 00 UTC,26 th Dec,2012 to 18 UTC 4th Jan,2013,Which are 10 days of IRAS global L1 c format observation data Which chosen as the research object,based on channel brightness temperature bias,Useing bi-weighting algorithm error affected by the cloud,surface emissivity,and outlier data is eliminated. Results show that through the bi-weighting quality control,IRAS channel brightness temperature bias standard deviation overall significantly reduce; The change of mean and standard deviation of brightness temperature bias with time window is very stable after quality control. Finally,this method is coupled to the Globe and Regional Assimilation and Prediction System to do the quality control of IRAS data and the result shows that this method is feasible. |
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| Keywords: | data assimilation FY-3B infrared atmospheric sounder bi-weighting quality control GRAPES assimilation system |
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