Change trend of monthly precipitation in China with an improved surface modeling method
文献类型：SCI/SSCI论文
| 作者 | Wang C. L.; Zhao, N.; Yue, T. X.; Zhao, M. W.; Chen, C. |
| 发表日期 | 2015 |
| 关键词 | Box-Cox transformation Geographically weighted regression HASM Precipitation Time series China geographically weighted regression seasonal precipitation water-resources climate-change interpolation variables temperature generation patterns terrain |
| 英文摘要 | In this paper, a combination of a novel interpolation method and a local regression method was employed to improve the estimation accuracy of monthly precipitation over China. After the normalized processing and Box-Cox transformation of the data, we used the geographically weighted regression (GWR) method to describe the spatial precipitation trend, and then interpolated the residual by using a modified high accuracy surface modeling method (HASM-PRE). A high quality database of monthly precipitation with a resolution of 1 km(2) was constructed based on the meteorological stations. Results showed that wet years and dry years appear alternatively, and trend analysis of precipitation data series from 1981 to 2010 showed that the probability of years with extreme precipitation has increased in recent years. Precipitation in winter is rather uncertain and more dynamic from year to year compared to precipitation in summer. |
| 出处 | Environmental Earth Sciences |
| 卷 | 74 |
| 期 | 8 |
| 页 | 6459-6469 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1866-6280 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/38894]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Wang C. L.,Zhao, N.,Yue, T. X.,et al. Change trend of monthly precipitation in China with an improved surface modeling method. 2015. |
入库方式： OAI收割
来源：地理科学与资源研究所
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