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文章摘要
引用本文:刘佩廷,徐枝芳,朱克云,王婧,李泽椿.2017.地面气压同化递进式OMB质量控制方法研究.气象,43(9):1138-1151.
地面气压同化递进式OMB质量控制方法研究
Study of Surface Progressive OMB Pressure Quality Control for Data Assimilation
投稿时间:2016-01-13  最后修改时间:2017-03-29
DOI:10.7519/j.issn.1000-0526.2017.09.011
中文关键词: 特征分析,地形高度差异,背景场订正,质量控制,递进式OMB,地面气压
英文关键词: characteristic analysis, elevation difference, correction of background, quality control, progressive OMB, surface pressure
基金项目:国家自然科学基金项目(41275105)资助
作者单位
刘佩廷 成都信息工程大学大气科学学院成都 610225;国家气象中心北京 100081 
徐枝芳 国家气象中心北京 100081 
朱克云 成都信息工程大学大气科学学院成都 610225 
王婧 成都信息工程大学大气科学学院成都 610225;国家气象中心北京 100081 
李泽椿 国家气象中心北京 100081 
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中文摘要:
      文章首先通过波谱分析对夏季(2013年6—8月)五个重点区域6 h一次地面气压观测场和T639分析场进行周期和振幅特征对比分析,在此基础上采用递进式OMB(observation minus background)质量控制方法对我国及周边地区地面气压进行了质量控制研究。研究结果表明:在模式与观测地形高度差异较大区域,必须通过压高等方法进行订正背景场资料才能较为准确地描述观测周期振幅特征,采用压高与双权重相结合的方法能够有效订正模式与观测之间的偏差,为地面气压的质量控制奠定了很好的基础;递进式OMB质量控制方法使得观测增量接近正态分布,相对OMB方法更有效识别离群资料,更能保障质量控制效果。
英文摘要:
      In this paper, 6 h surface pressure observation and T639 analysis field in the summer (from June to August) 2013 in five different regions are analyzed firstly by wavelet and spectrum methods. Then, a progressive OMB (observation minus background) quality control method is put forward, and the surface pressure observations in China and the neighboring regions are studied. The research results indicate that in the regions with different elevations between surface observation sites and numerical model surface, the cycle and amplitude characteristics can be described accurately after the background data are corrected by the barometric height method. By using the barometric height formula and weighted average method, we correct surface pressure from model height to observation sites, making a good foundation for the quality control of surface pressure observation. Progressive OMB quality control method makes the observation increment very close to normal distribution. The progressive OMB quality control method is better than the OMB quality control method, because it can effectively identify outlier data and guarantee the quality of remained data.
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