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中国区域位势高度场探空与再分析资料的对比分析
引用本文:赵佳莹,徐海明. 中国区域位势高度场探空与再分析资料的对比分析[J]. 气象科学, 2014, 34(2): 128-138
作者姓名:赵佳莹  徐海明
作者单位:南京信息工程大学 气象灾害预报警报与评估协同创新中心和气象灾害教育部重点实验室, 南京 210044;南京信息工程大学 气象灾害预报警报与评估协同创新中心和气象灾害教育部重点实验室, 南京 210044
基金项目:公益性行业(气象)科研专项(GYHY200906014-02);国家自然科学基金项目(41275094);江苏省"青蓝工程"资助项目;江苏省高校优势学科建设工程资助项目(PAPD)
摘    要:
利用中国高空探空资料和NCEP/NCAR、ERA以及JRA 3种再分析资料,采用偏差、线性趋势、EOF等统计方法,分析、讨论了再分析资料位势高度场在中国区域的适用性问题。结果表明:在年平均场上,探空资料在中国北方地区对流层中存在上升趋势,在平流层低层存在下降趋势;并且有整层变化相同的年际变化特征和对流层南北方反位相变化的年代际变化特征。再分析资料位势高度场数值上普遍小于探空资料;NCEP/NCAR资料与探空资料较为接近。在季节平均场上,探空资料在冬季对流层中存在一致的上升趋势,在春、夏和秋季的长期变化趋势与年平均场类似;探空资料与再分析资料在冬季的偏差最小。不同资料的EOF第一模态分布,在不同季节中差别较大,NCEP/NCAR资料在春季、夏季和冬季适用性较高,ERA资料在秋季适用性较高。

关 键 词:探空资料  再分析资料  年际变化  季节变化
收稿时间:2012-11-02
修稿时间:2013-03-11

Comparison of geopotential height between reanalysis and radiosonde data over China
ZHAO Jiaying and XU Haiming. Comparison of geopotential height between reanalysis and radiosonde data over China[J]. Journal of the Meteorological Sciences, 2014, 34(2): 128-138
Authors:ZHAO Jiaying and XU Haiming
Affiliation:Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China
Abstract:
Based on the radiosonde and reanalysis data from NCEP/NCAR, ERA and JRA, by using deviation, linear trend, EOF statistics methods, the applicability evaluation of the atmospheric geopotential heights in China is conducted in this paper. Results indicate that the annual mean geopotential heights are going up in the troposphere while a drop exists in the tropopause and lower stratosphere over the northern China. An in-phase variation in geopotential heights over the whole troposphere on interannual time scale and an anti-phase one over the north and south China on decadal time-scale are obvious. Generally, the geopotential height values of the three reanalysis datasets are lower than that of observation, among them, the NCEP geopotential height is the closest to the observation. In terms of seasonal mean field, geopotential heights show an upward trend in the troposphere in winter, while in other seasons, the trend is consistent with that of annual mean field. In addition, the smallest deviation between radiosonde and reanalysis datasets appears in winter. Overall, NCEP geopotential heights agree well with the observed ones in spring, summer and winter, while ERA performs much better in autumn.
Keywords:Radiosonde dataset  Reanalysis dataset  Interannual variation  Seasonal variation
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