4.5 Article

Characteristics of consecutive dry days variations in China

期刊

THEORETICAL AND APPLIED CLIMATOLOGY
卷 130, 期 1-2, 页码 701-709

出版社

SPRINGER WIEN
DOI: 10.1007/s00704-016-1984-6

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资金

  1. National Basic Research Program of China [2012CB956201]
  2. National Natural Science Foundation of China [41275085, 41530532]
  3. Knowledge Innovation Program of the Chinese Academy of Sciences [KZCX2-EW-202]
  4. China Special Fund for Meteorological Research in the Public Interest [GYHY201506001-1]

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Consecutive dry days (CDDs) can serve as an effective measure of extreme precipitation and seasonal droughts. Using daily rain gauge data from 718 stations in China for the years 1961-2012, this paper documents the spatial and temporal characteristics of CDDs in the cold season (November to March) and the warm season (April to October). The results show that the long-term linear trends in CDDs have significant regional and seasonal differences. In the cold season, 57 % of the stations record decreases in CDDs, whereas in the warm season, 67 % of the stations record increasing trends. Applying the Ensemble Empirical Mode Decomposition (EEMD) to CDDs in selected regions, we found that 3-year oscillations account for most of the variance in CDDs, and this interannual variability is more pronounced in the cold season than in the warm season. Particularly in South China, CDDs in the cold season are most affected by oscillation of about a 3.3-year period. The decadal oscillations in CDDs over North China and the middle-lower reaches of the Yangtze River show larger variance than do other regions. Over North China, decadal variations in CDDs in both seasons are similar, with high phases during the 1990s and greater amplitude during the last 20 years, whereas over middle-lower reaches of Yangtze River, the amplitudes of decadal oscillations in CDDs decreased since the 1990s in both seasons. In terms of secular trends, significant increases in CDDs over Southwest China in the cold season and South China in the warm season are noteworthy as they contribute largely to CDD variance and experience sharper slopes in recent years.

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