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Title (Primary) Change trend of monthly precipitation in China with an improved surface modeling method
Author Wang, C.-L.; Zhao, N.; Yue, T.-X.; Zhao, M.-W.; Chen, C.;
Journal Environmental Earth Sciences
Year 2015
Department ENVINF;
Volume 74
Issue 8
Language englisch;
POF III (all) T53;
Keywords Box-Cox transformation; Geographically weighted regression; HASM; Precipitation; Time series; China
UFZ wide themes RU5;
Abstract 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 km2 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.
ID 16080
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=16080
Wang, C.-L., Zhao, N., Yue, T.-X., Zhao, M.-W., Chen, C. (2015):
Change trend of monthly precipitation in China with an improved surface modeling method
Environ. Earth Sci. 74 (8), 6459 - 6469