| VARIABILITY OF DAILY PRECIPITATION IN CHINA(1980-1993):PCA
AND WAVELET ANALYSIS OF OBSERVATION AND ECMWF REANALYSIS DATA |
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| 作者姓名： | Lydia Dümenil |
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| 作者单位： | CUI Mao chang ，，ZHU Hai ，LIAN Shu min ( Institute of Oceanology，Chinese Academy of Sciences，Qingdao 266071，China) ( LASG，Institute of Atmospheric Physics，Chinese Academy of Sciences，Beijing 100029，China) |
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| 基金项目： | Project4 974 50 1 0supportedbyNSFC ,andKeyLab .ofMarineEnvironmentalSciencesandNumericalModellingofSOA |
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| 摘 要： | ＩＮＴＲＯＤＵＣＴＩＯＮＴｈｅＡｓｉａｎｓｕｍｍｅｒｍｏｎｓｏｏｎｓｙｓｔｅｍｉｎｃｌｕｄｅｓｔｈｅＩｎｄｉａｎ(ｏｒＳｏｕｔｈＡｓｉａｎ)ａｎｄＥａｓｔＡｓｉａｎｓｕｍｍｅｒｍｏｎｓｏｏｎｓ,ｂｏｔｈｏｆｗｈｉｃｈｆｏｒｍｔｈｅｍｏｓｔｄｒａｍａｔｉｃｍｏｎｓｏｏｎｓｙｓｔｅｍｓｉｎｔｈｅＮｏｒｔｈｅｒｎＨｅｍｉｓｐｈｅｒｅ.ＴｈｅｉｎｔｅｎｓｉｔｙｏｆｔｈｅｌａｔｔｅｒａｐｐｅａｒｓｔｏｂｅｒｅｌａｔｅｄｔｏｔｈｅｒａｉｎｆａｌｌｉｎｅａｓｔｅｒｎＣｈｉｎａ.Ｔｈｅｒｅｗｉｌｌｂｅａｎｅｍｐｔｙ…
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| 收稿时间： | 4 August 1998 |
| 修稿时间： | 9 October 1998 |
Variability of daily precipitation in China (1980–1993): PCA and wavelet analysis of observation and ECMWF reanalysis data |
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| Cui Mao-chang,Zhu Hai,Lian Shu-min,Klaus Arpe,Lydia Dümenil.VARIABILITY OF DAILY PRECIPITATION IN CHINA(1980-1993):PCA
AND WAVELET ANALYSIS OF OBSERVATION AND ECMWF REANALYSIS DATA[J].Chinese Journal of Oceanology and Limnology,2000,18(2):117-125. |
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| Authors: | Cui Mao-chang Zhu Hai Lian Shu-min Klaus Arpe Lydia Dümenil |
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| Institution: | (1) Institute of Oceanology, Chinese Academy of Sciences, 266071 Qingdao, China;(2) IASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029 Beijing, China;(3) Max-Planck Institute for Meteorology, Hamburg, Germany |
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| Abstract: | In this study, principal component analysis(PCA) and complex Morlet wavelet transform were used with daily rainfall in China for the period 1980-1993(1 May-31 Dec.) from observation and ECMWF reanalysis to study its variability and evaluate the validation of reanalyzed precipitation. The results showed that northward movement of the summer rain belt was a wavelike propagation, which was always accompanied by rainfall breaks and could be treated as one event under time scale of about 1 month only. The first 4 EOFs accounted for 28% and 35% of total variance from observation and reanalysis, respectively, and were roughly consistent with each other. The first and third EOFs for observation mainly represented interweekly, interseasonal and interannual variations and contained some summer intraseasonal fluctuations also. The second and fourth ones mainly represented some rather strong summer intraseasonal fluctuations for a paticular year and contained interweekly, interseasonal and interannual variations also. Although there is still room for improvement, the ECMWF reanalysis is the best available dataset with global coverage and daily variability. |
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| Keywords: | daily precipitations in China ECMWF reanalysis PCA and wavelet analysis |
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