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中央气象台探空资料客观分析业务系统的研究与实现
引用本文:于连庆,李月安,韩强.中央气象台探空资料客观分析业务系统的研究与实现[J].气象科技,2012,40(2):153-159.
作者姓名:于连庆  李月安  韩强
作者单位:国家气象中心,北京,100081
摘    要:研发了基于Cressman线性插值方法的探空资料客观分析业务系统。针对客观分析在业务工作中的问题,提出几种解决方法:①提出了在观测场中找出可疑站点的检测算法,避免了可疑观测值对分析场的影响;②通过对分析的等值线进行后处理操作,做到分析结果与观测数据一致,不增加或者漏掉高低值中心;③提出了对分析场进行自适应平滑处理的方法,即保留了小面积高低值中心,又提高了等值线的光滑与美观程度。试验结果显示:使用该方法得到的探空资料客观分析结果与观测数据较一致,在等值线的光滑程度上接近预报员的手工分析结果,从而证明了本文所提方法的可行性和有效性。

关 键 词:探空资料客观分析  Cressman分析  格点场平滑
收稿时间:2010/8/13 0:00:00
修稿时间:2010/9/28 0:00:00

Research and Implementation of Operational Objective Analysis System at Central Meteorological Observatory
Yu Lianqing , Li Yue'an , Han Qiang.Research and Implementation of Operational Objective Analysis System at Central Meteorological Observatory[J].Meteorological Science and Technology,2012,40(2):153-159.
Authors:Yu Lianqing  Li Yue'an  Han Qiang
Institution:National Meteorological Center, Beijing 100081;National Meteorological Center, Beijing 100081;National Meteorological Center, Beijing 100081
Abstract:The research and development of an operational objective analysis(OA) system are conducted based on the Cressman linear interpolation method.Several methods for solving the problems encountered in the operation of the OA system are presented:(1) the stations of low creditability are automatically detected,so that their negative effect on the computation of analytic field is minimized;(2) a post-processing step is conducted on the isopleths so that they agree with observation data,without added or subtracted high/low value centers;(3) an adaptive smooth method is applied to the analytic field so that the small-area centers can be preserved and meanwhile isopleths are still smooth.The feasibility and validity of the proposed methods are verified by the experimental results,which show that the analytic results of the OA system agree well with observation data,and the smoothness of the analytic isopleths is comparable to that drawn manually by forecasters.
Keywords:radiosonde data  objective analysis  Cressman analysis  grid field smooth
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