Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1007/s12665-014-4012-0 |
| Volltext | Shareable Link |
| Titel (primär) | Change trend of monthly precipitation in China with an improved surface modeling method |
| Autor | Wang, C.-L.; Zhao, N.; Yue, T.-X.; Zhao, M.-W.; Chen, C. |
| Quelle | Environmental Earth Sciences |
| Erscheinungsjahr | 2015 |
| Department | ENVINF |
| Band/Volume | 74 |
| Heft | 8 |
| Seite von | 6459 |
| Seite bis | 6469 |
| Sprache | englisch |
| Keywords | Box-Cox transformation; Geographically weighted regression; HASM; Precipitation; Time series; China |
| UFZ Querschnittsthemen | 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. |
| dauerhafte UFZ-Verlinkung | 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 10.1007/s12665-014-4012-0 |
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