4.6 Article

Precipitation and temperature trends for the Southwest China: 1960-2007

期刊

HYDROLOGICAL PROCESSES
卷 24, 期 25, 页码 3733-3744

出版社

WILEY-BLACKWELL
DOI: 10.1002/hyp.7792

关键词

Mann-Kendall test; climate change; trend analysis; precipitation; temperature; Southwest China

资金

  1. National Basic Research Programs ('973 Program') [2006CB403200, 2010CB428406]
  2. Chinese Academy of Sciences
  3. Chinese Ministry of Education [308012]
  4. Key National Natural Science Foundation of China [40930635]

向作者/读者索取更多资源

Daily temperature and precipitation data from 136 stations of Southwest China (SWC) during the last five decades, from 1960 to 2007, were analysed to determine the spatial and temporal trends by using the Mann-Kendall trend test. Results show that SWC has become warmer over the last five decades, especially in the recent 20-25 years. The increasing trends in winter months are more significant than those in the months of other seasons, and spatially Tibet, Hengduan mountains area and west Sichuan Plateau have larger temperature trend in magnitude than the other regions have. A downward trend was detected in Sichuan Basin also, but the region with cooler temperature was shrinking due to the statistically significant increasing trend of temperature after 1990s. Both annual and seasonal means of daily maximum and minimum temperatures show an increasing trend, but trend magnitude of minimum temperature was larger than that of maximum temperature, resulting in the decrease of diurnal temperature range for SWC in the last 50 years. Annual precipitation showed slightly and statistically insignificant increasing trend, but statistically significant increasing trend has been detected in winter season while autumn witnessed a statistically significant decreasing trend. The results could be a reference for the planning and management of water resources under climate change. Copyright (C) 2010 John Wiley & Sons, Ltd.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据