中国区域温度和降水不同空间插值方法精度对比

doi:10.3969/j.issn.1673-503X.2016.06.011

Abstract

Abstract: The precision and time series of different spatial interpolation data for temperature and precipitation over the mainland of China were studied,using 1.0°×1.0° and 0.5°×0.5° gridded,monthly temperature and precipitation data based on the optimal interpolation (OI),ANUSPLIN V2.0 (Australian National University's thin plate Smoothing SPLINe,AV 2.0) interpolation,and ordinary kriging (OK) approaches from the China National Meteorological Information Center and the GHCN (Global Historical Climatology Network) 5.0°×5.0° gridded,monthly precipitation data from the U.S.NCDC (National Climatic Data Center) from 1961 to 2004.The results show that under an average climatic state from 1961 to 2004,there are consistent spatial distributions and annual cycle change in temperature and precipitation in China using different interpolation approaches.The absolute errors of precipitation fields in the whole mainland,the eastern and western China determined using the OI and AV 2.0 approaches are 2.15 mm,1.28 mm and 0.00 mm,respectively.The absolute errors of temperature fields for these regions using the OK and AV 2.0 approaches are 0.20℃,0.05℃ and 0.45℃,respectively.For time series of precipitation field in China,there is a relatively consistent seasonal variation obtained from AV 2.0,OI and GHCN approaches,with a larger difference occurring in summer and a smaller one in winter.The correlation coefficient of precipitation fields between AV 2.0 and OI approaches ranges from 0.22 to 0.98 from 1961 to 2004,with a high correlation occurring in winter and spring,and a low one in summer and autumn.The difference of precipitation amount is larger in some individual autumn and winter,with a maximum value of 3.08 mm.The difference of mean precipitation amount from 1961 to 2004 is 0.64 mm.The difference of mean annual temperature obtained from AV 2.0 and OK approaches is less than 0.54℃,and most of time,the change trends of temperature from the two approaches are consistent.

Key words: Temperature, Precipitation, Gridded, Interpolation

CLC Number:

P468

WANG Jiang, LE Zhang-yan, LIAO Rong-wei, ZHANG Pei, JIA Li-hong, ZHANG Dong-bin. A comparative study of spatial interpolation data for temperature and precipitation over China[J]. Journal of Meteorology and Environment, 2016, 32(6): 85-93.

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A comparative study of spatial interpolation data for temperature and precipitation over China

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