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河北地区气温内插模型及检验方
引用本文:许云,龙步菊,潘学标,张佳华. 河北地区气温内插模型及检验方[J]. 气象与环境学报, 2010, 26(2): 27-30
作者姓名:许云  龙步菊  潘学标  张佳华
作者单位:1.中国气象科学研究院,北京 100081;2.中国农业大学,北京 100094
基金项目:国家“863”计划课题(2006AA10Z213);;河北省气象与生态环境重点实验室开放基金共同资助
摘    要:以1965—1999年河北省逐月平均气温为研究对象,采用一元线性回归法和IDW(Inverse Distance Weighted)相结合的方法,将温度插值到河北省整个区域,绘制河北省温度空间分布图,实现河北省年内各月平均气温空间填图;同时,分析了河北省冬季和夏季各月的月平均温度的误差精度。结果表明:插值的结果与观测值的相关系数(R)在12个月均大于0.82,显示插值方法具有较好的模拟精度,可用于气温的空间插值和特征分析。

关 键 词:气温  内插模型  DEM高程  残差  IDW插值  河北省  
收稿时间:2009-12-28
修稿时间:2010-02-03

Interpolation model of air temperature and its verification method in Hebei province
XU Yun,LONG Bu-ju,PAN Xue-biao,ZHANG Jia-hua. Interpolation model of air temperature and its verification method in Hebei province[J]. Journal of Meteorology and Environment, 2010, 26(2): 27-30
Authors:XU Yun  LONG Bu-ju  PAN Xue-biao  ZHANG Jia-hua
Affiliation:1.Chinese Academy of Meteorological Sciences, Beijing 10008, China; 2. China Agricultural University, Beijing 100094, China
Abstract:The monthly air temperature data from 1965 to 1999 in Hebei province was interpolated by linear regression method and inverse distance weighted(IDW) method,and their spatial distribution maps were given.The errors of air temperature interpolation in each month of winter and summer indicate that the correlation coefficients between interpolation results and observation values in 12 months are all more than 0.82.It shows that the interpolation method is better,which can be used to interpolate air temperature ...
Keywords:Air temperature  Interpolation model  DEM  Residual error  Interpolation with inverse distance weighted (IDW) method  Hebei province
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