Variability of daily precipitation in China (1980–1993): PCA and wavelet analysis of observation and ECMWF reanalysis data

Cui Mao-chang; Zhu Hai; Lian Shu-min; Klaus Arpe; Lydia Dümenil

doi:10.1007/BF02842570

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Variability of daily precipitation in China (1980–1993): PCA and wavelet analysis of observation and ECMWF reanalysis data

Updated：2023-05-16

- Variability of daily precipitation in China (1980–1993): PCA and wavelet analysis of observation and ECMWF reanalysis data
- Journal of Oceanology and Limnology Vol. 18, Issue 2, Pages: 117-125(2000)
- Affiliations：
  
  1. Institute of Oceanology Chinese Academy of Sciences
  2. IASG Institute of Atmospheric Physics Chinese Academy of Sciences
  3. Max-Planck Institute for Meteorology
- Author bio：
- Funds：
- DOI：10.1007/BF02842570
  CLC：
- Published：2000
- Accepted：
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Mao-chang, C., Hai, Z., Shu-min, L. et al. Variability of daily precipitation in China (1980–1993): PCA and wavelet analysis of observation and ECMWF reanalysis data., Chin. J. Ocean. Limnol. 18, 117–125 (2000). https://doi.org/10.1007/BF02842570
DOI：

Mao-chang, C., Hai, Z., Shu-min, L. et al. Variability of daily precipitation in China (1980–1993): PCA and wavelet analysis of observation and ECMWF reanalysis data., Chin. J. Ocean. Limnol. 18, 117–125 (2000). https://doi.org/10.1007/BF02842570 DOI：

摘要

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 eaaluate 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

references

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