气候变化研究进展 ›› 2008, Vol. 4 ›› Issue (000): 1-06.

• Scientific Basis •    下一篇

Review on the Data Application and Climate Variability in China for Various Timescales

Qian Weihong,Ding Ting,Fu Jiaolan,Lin Xiang,Zhu Yafen   

  • 收稿日期:2008-08-01 修回日期:1900-01-01 出版日期:2008-06-30 发布日期:2008-06-30

Review on the Data Application and Climate Variability in China for Various Timescales

  • Received:2008-08-01 Revised:1900-01-01 Online:2008-06-30 Published:2008-06-30

摘要: Temperature and precipitation are two main variables in climate changes. Spatial-temporal resolutions of temperature and precipitation, and recent studies on climate variability in China are summarized and discussed in this review. Recent 100-year datasets are used to reveal quasi-20-year and quasi-70-year oscillations in eastern China, as well as precipitation pattern shift in China. An oscillation with the timescale of 70-80 years is introduced in eastern China, derived from 500-year and 1000-year proxy and observation records. Finally, it is noted that more research achievements on climate change in China depend upon developing or reconstructing long-term series, studying in regularity and mechanism, as well as upon prediction and service etc.

关键词: China, climate change, data, variability

Abstract: Temperature and precipitation are two main variables in climate changes. Spatial-temporal resolutions of temperature and precipitation, and recent studies on climate variability in China are summarized and discussed in this review. Recent 100-year datasets are used to reveal quasi-20-year and quasi-70-year oscillations in eastern China, as well as precipitation pattern shift in China. An oscillation with the timescale of 70-80 years is introduced in eastern China, derived from 500-year and 1000-year proxy and observation records. Finally, it is noted that more research achievements on climate change in China depend upon developing or reconstructing long-term series, studying in regularity and mechanism, as well as upon prediction and service etc.

Key words: China, climate change, data, variability

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