Combination of ECMWF reanalyzed daily rainfall and pentad CMAP in China

Cui Mao-chang; Zhu Hai

doi:10.1007/BF02850655

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Combination of ECMWF reanalyzed daily rainfall and pentad CMAP in China

Updated：2023-05-16

- Combination of ECMWF reanalyzed daily rainfall and pentad CMAP in China
- Journal of Oceanology and Limnology Vol. 19, Issue 3, Pages: 200-207(2001)
- Affiliations：
  
  1. Institute of Oceanology Chinese Academy of Sciences
  2. LASC Institute of Atmospheric Physics Chinese Academy of Sciences
- Author bio：
- Funds：
- DOI：10.1007/BF02850655
  CLC：
- Published：2001
- Accepted：
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Mao-chang, C., Hai, Z. Combination of ECMWF reanalyzed daily rainfall and pentad CMAP in China., Chin. J. Ocean. Limnol. 19, 200–207 (2001). https://doi.org/10.1007/BF02850655
DOI：

Mao-chang, C., Hai, Z. Combination of ECMWF reanalyzed daily rainfall and pentad CMAP in China., Chin. J. Ocean. Limnol. 19, 200–207 (2001). https://doi.org/10.1007/BF02850655 DOI：

摘要

Abstract

In this study

16 combinations of the ECMWF (European Centre for Medium-Range Weather Forecast) 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 was applied to data on observed and combined daily rainfall to obtain a detailed evaluation of the quality of these combined datasets in 6 selected major rainfall regions of eastern 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 (CPC Merged Analysis of Precipitation)

and can also represent rainfall fluctuations through the reanalyzed daily rainfall.

关键词

Keywords

references

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Related Author

Cui Mao-chang

Zhu Hai

Lian Shu-min

Klaus Arpe

Lydia Dümenil

Related Institution

IASG Institute of Atmospheric Physics Chinese Academy of Sciences

Max-Planck Institute for Meteorology

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