ECMWF再分析日降雨量与CMAP候降雨量在中国境内的数据整合

doi:10.11867/j.issn.1001-8166.2000.04.0442

地球科学进展 ›› 2000, Vol. 15 ›› Issue (4): 442 -445. doi: 10.11867/j.issn.1001-8166.2000.04.0442

崔茂常,朱海

中国科学院海洋研究所,山东青岛 266071

收稿日期:1999-07-28 修回日期:1999-10-25 出版日期:2000-08-01
通讯作者: 崔茂常(1945-),男,湖北襄阳县人,研究员,主要从事海洋环流与海气相互作用研究。
基金资助:
国家自然科学基金项目“天气预报再分析数据与亚洲夏季风气候学”(编号:49875020)和大气科学和地球流体力学数值模拟国家重点实验室及国家海洋局地球流体力学与数值模拟重点实验室资助。

COMBINATION OF ECMWF REANALYZED DAILY RAINFALL AND PENTAD CMAP IN CHINA

CUI Mao-chang,ZHU Hai

Institute of Oceanology,Chinese Academy of Sciences,Qindao266071,China

Received:1999-07-28 Revised:1999-10-25 Online:2000-08-01 Published:2000-08-01

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将中国境内1980～1993年ECMWF再分析日降雨量和美国环境预报中心CMAP候降雨量按16种方案整合后,再与实测资料做相关分析得出粗略的质量评估;并应用旋转主成分分析结合复变量莫莱特小波变换分析方法就其在东亚季风区的空间模态和不同频率下变化的时间序列得出具体的质量评估。结果表明:由最好的整合资料算出的6个旋转空间模态与实测资料比较除顺序有所改变外二者惊人地相似,不仅其14 a日均降雨量和标准偏差借助遥感候降雨量较再分析数据大有改进(尤其在四川盆地),而且还保留了再分析日降雨量再现不同时间尺度下实测降雨量波动的能力。除周内波动有所不同外,与夏季风爆发和洪涝灾害关系密切的周际以上波动与实测资料大致相符或基本吻合。

关键词: 数据整合, 中国日降雨量, ECMWF再分析数据, CMAP候降雨量

In this study, 16 combinations of the ECMWF reanalyzed daily rainfall and the pentad CMAP in China for the period 1980～1993(1 May～31 Dec) were calculated. Correlation analysis was used to roughly evaluate daily rainfall for the whole of China and a combination of RPC (rotated principal component) and wavelet analyses were applied to data of observed and combined daily rainfall to obtain a detailed evaluation of the quality of these combined data sets in 6 selected major rainfall regions of eastern Asia in China. The results showed that except for intraweekly fluctuation the best combination was roughly similar to or accorded well with observation in the aspects of space variation patterns and long period rainfall fluctuations, related to monsoon onset and serious meteorologic disasters, indicating that this combination yielded better values of long term daily mean and standard deviation through the pentad CMAP, and can also represent rainfall fluctuations through the reanalyzed daily rainfall.

Key words: Data comlination, Daily rainfall in China, ECMWF reanalyzed data, Pentad CMAP.

中图分类号:

P468.0+24

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