| 中国日降雨量变化特征分析 |
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| 引用本文： | 崔茂常,朱海,白学志,克劳斯．阿珀,妮迪娅．杜梅莉.中国日降雨量变化特征分析[J].大气科学,2000,24(4):519-526. |
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| 作者姓名： | 崔茂常 朱海 白学志 克劳斯．阿珀 妮迪娅．杜梅莉 |
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| 作者单位： | 1.中国科学院大气物理研究所大气科学与地球流体力学数值模拟国家重点实验室,北京 100029)(国家海洋局海洋环境科学和数值模拟重点实验室,青岛 266061 |
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| 基金项目： | 国家自然科学基金资助项目4975010和国家重点基础研究发展规划项目G1998043803共同资助。中国科学院海洋研究所研究报告第3688号 |
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| 摘 要： | 将旋转主成分分析和复变量莫莱特小波分析应用于14a中国境内实测与ECMWF再分析日降雨量资料，研究其年际、季际与季节内变化的时空分布特征和再分析日降雨量资料的有效性。结果表明:从实测资料中分析的降水特征，都可以由再分析资料再现出来。除周内振荡大有出入外，其余频率的振荡二者大致相符或基本吻合。因此，周内振荡还不能被再分析数据较好地刻划，但是与旱涝灾害和季风爆发联系密切的周际以上振荡，在再分析日降雨量中基本上能被正确地表现出来。
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| 关 键 词： | 日降雨量 中国 再分析数据 旋转主成分分析 小波分析 |
An Analysis of Daily Rainfall Variability in China |
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| Cui Maochang,Zhu Hai,Bai Xuezhi,Klaus Arpe and Lydia Dumenil.An Analysis of Daily Rainfall Variability in China[J].Chinese Journal of Atmospheric Sciences,2000,24(4):519-526. |
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| Authors: | Cui Maochang Zhu Hai Bai Xuezhi Klaus Arpe and Lydia Dumenil |
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| Abstract: | In this study, rotated principal component analysis (PCA) and complex Morlet wavelet transform are used with observed and ECMWF reanalyzed daily rainfall data of 14 years in China to study their temporal and spatial variation features and evaluate the validation of reanalyzed precipitation. It is shown that the first four rotated modes can describe the major rainfall fluctuation features in some local regions: intraweekly and interweekly fluctuations are stronger, biannual ones is weaker and intraseasonal, interseasonal and interannual ones are moderate in the northeastern China; intraweekly and interweekly fluctuations are stronger but others are moderate in the northern Shaanxi and the middle of Inner Mongolia; interweekly fluctuations are stronger, biannual fluctuations are weaker and others are moderate in the southern China; biannual fluctuations are weaker but others are moderate in the Changjiang Valley. Except intraweekly fluctuations, these observed features can be well represented by the ECMWF reanalyses. |
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| Keywords: | daily rainfall China reanalysis rotated principal component analysis wavelet analysis |
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