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中文摘要: 采用两种方法,对河北、北京及天津地区1月、4月、7月和10月累年平均5cm地温场进行了估算。一是采用以纬度、经度和海拔高度为因子的多元线性回归模型进行估算;二是利用Kriging最优内插法对所选站点实测地温资料进行内插估算。结果表明,以地理位置坐标为因子的多元线性回归估算模型的剩余标准差为0.4-0.7℃,Kriging内插估算的剩余标准差为0.2—0.3℃。此外,回归分析表明,各月累年平均5cm地温随纬度、经度和海拔高度值的增加而降低。纬度每增加1°地温下降0.2—0.8℃,夏季地温随纬度变化不明显;经
中文关键词: 地温，最优内插，表面拟合
Abstract:The estimation of the spatial distribution of mean monthly soil temperature in January,April,July and October at a depth of 5cm in Beijing,Tianjin and Hebei district was made by two approches. One is with a regression model in which the predictors of Latitude,Longitude and Sea Level are involved. The other is with the Kriging surface fitting method. The results show that the standard deviation of residual errors of the regression model is 0. 4-0. 7℃,the standard deviation of residual erorrs of the Kriging estimation is 0. 2-0.3 ℃. In addition,as the value of latitude incrises by one degree soil temperature decrises by 0. 2-0.8℃,as the value of longitude incrises by one degree soil temperature decrises by 0. 3-Al-0.7℃, as the value of sea level incrises 100 meters the soil temperature decrises by 0. 5-0. 7 ℃.
keywords: soil temperature,surface fitting,briging
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引用文本：
刘学著,周守华,1994.京、津、冀累年月平均5cm地温场的估算[J].气象,20(8):54-57.
,1994.The Estimation of the Spatial Distribution of Mean Monthly Soil Temperature at 5cm Depth[J].Meteor Mon,20(8):54-57.
刘学著,周守华,1994.京、津、冀累年月平均5cm地温场的估算[J].气象,20(8):54-57.
,1994.The Estimation of the Spatial Distribution of Mean Monthly Soil Temperature at 5cm Depth[J].Meteor Mon,20(8):54-57.