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Volume 27 Issue 6

Nov.  2010

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2010 >  27(6): 1221-1232

Spatial Interpolation of Daily Precipitation in China: 1951--2005

  • 1.

    Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden,Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden, School of Geography, Beijing Normal University, Beijing 100875,Department of Earth Sciences, Uppsala University, Sweden,Department of Earth Sciences, Uppsala University, Sweden, Department of Geosciences, University of Oslo, Norway,Laboratory for Climate Studies/National Climate Center, China Meteorological Administration, Beijing 100029,School of Earth and Environmental Sciences, Seoul National University, Korea,School of Physics, Peking University, Beijing 100871


doi: 10.1007/s00376-010-9151-y

  • Climate research relies heavily on good quality instrumental data; for modeling efforts gridded data are needed. So far, relatively little effort has been made to create gridded climate data for China. This is especially true for high-resolution daily data. This work, focuses on identifying an accurate method to produce gridded daily precipitation in China based on the observed data at 753 stations for the period 1951--2005. Five interpolation methods, including ordinary nearest neighbor, local polynomial, radial basis function, inverse distance weighting, and ordinary kriging, have been used and compared. Cross-validation shows that the ordinary kriging based on seasonal semi-variograms gives the best performance, closely followed by the inverse distance weighting with a power of 2. Finally the ordinary kriging is chosen to interpolate the station data to a 18 km×18 km grid system covering the whole country. Precipitation for each 0.5o×0.5o latitude-longitude block is then obtained by averaging the values at the grid nodes within the block. Owing to the higher station density in the eastern part of the country, the interpolation errors are much smaller than those in the west (west of 100oE). Excluding 145 stations in the western region, the daily, monthly, and annual relative mean absolute errors of the interpolation for the remaining 608 stations are 74%, 29%, and 16%, respectively. The interpolated daily precipitation has been made available on the internet for the scientific community.
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    • Manuscript History

    Manuscript received: 10 November 2010
    Manuscript revised: 10 November 2010
    通讯作者: 陈斌, bchen63@163.com
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    Spatial Interpolation of Daily Precipitation in China: 1951--2005

    • 1. Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden,Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden, School of Geography, Beijing Normal University, Beijing 100875,Department of Earth Sciences, Uppsala University, Sweden,Department of Earth Sciences, Uppsala University, Sweden, Department of Geosciences, University of Oslo, Norway,Laboratory for Climate Studies/National Climate Center, China Meteorological Administration, Beijing 100029,School of Earth and Environmental Sciences, Seoul National University, Korea,School of Physics, Peking University, Beijing 100871
    • Manuscript received: 2010-11-10
    • Manuscript revised: 2010-11-10

    Abstract: Climate research relies heavily on good quality instrumental data; for modeling efforts gridded data are needed. So far, relatively little effort has been made to create gridded climate data for China. This is especially true for high-resolution daily data. This work, focuses on identifying an accurate method to produce gridded daily precipitation in China based on the observed data at 753 stations for the period 1951--2005. Five interpolation methods, including ordinary nearest neighbor, local polynomial, radial basis function, inverse distance weighting, and ordinary kriging, have been used and compared. Cross-validation shows that the ordinary kriging based on seasonal semi-variograms gives the best performance, closely followed by the inverse distance weighting with a power of 2. Finally the ordinary kriging is chosen to interpolate the station data to a 18 km×18 km grid system covering the whole country. Precipitation for each 0.5o×0.5o latitude-longitude block is then obtained by averaging the values at the grid nodes within the block. Owing to the higher station density in the eastern part of the country, the interpolation errors are much smaller than those in the west (west of 100oE). Excluding 145 stations in the western region, the daily, monthly, and annual relative mean absolute errors of the interpolation for the remaining 608 stations are 74%, 29%, and 16%, respectively. The interpolated daily precipitation has been made available on the internet for the scientific community.

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