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短时间序列气温要素空间插值方法精度的比较研究 被引量:23

Comparison of different spatial interpolation methods for air temperature data of short-time series
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摘要 利用中国气象局国家气象中心的全国1956年和1998年1月和7月平均气温数据,对综合法与ANUSPLIN软件插值精度进行了比较。结果表明:在具有30 a的月平均气温栅格数据库作为背景的前提下,采用综合法对短时间序列平均气温数据进行空间化处理,其方法简单、方便,误差相对较小,是一种较适合的方法。 Based on the mean air temperature data in January and July of 1956 and 1998 in China, the interpolation precisions of synthetic method (spatializated climatic values integrating with the multi-annual deviation from the normal interpolation method) and ANUSPLIN software method were compared. The results indicated that the synthetic method was simple and convenient for the grid database of monthly mean air temperature with 30-years' period,and its spatial interpolation error was less than that of ANUSPLIN software method. The synthesize method was suitable to interpolate the air temperature data of the short-time series.
出处 《气象与环境学报》 2007年第5期13-16,共4页 Journal of Meteorology and Environment
基金 东北地区生态与粮食安全监测评价预警业务系统(22012206302) 中国气象局沈阳大气环境研究所课题启动项目(2005046)共同资助
关键词 短时间序列 气温 空间插值 精度比较 Short-time series Air temperature Spatial interpolation Precision comparison
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