Spatial Interpolation of Daily Precipitation in China: 1951--2005 |
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Authors: | Deliang CHEN Tinghai OU Lebing GONG Chong-Yu XU LI Weijing Chang-Hoi Ho and QIAN Weihong |
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Affiliation: | 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 |
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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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Keywords: | daily precipitation spatial interpolation ordinary kriging gridded data China |
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