中文摘要：

应用空间插值方法，对中国西部地区（27．17～48．05°N，79．05～103．57°E）110个气象台站的观测数据进行空间内插，研究积雪分布特征。结果表明，普通Kriging法和Cokriging法都能够反映出研究区积雪深度分布的空间结构特征，与实际情况比较吻合。但相比之下，Cokriging法的精度更高，局部特征的反映更佳。分析发现，影响插值结果精度的主要因素是研究区内气象台站稀少，且空间分布很不均匀。通过合理的采样设计，选择合适的插值方法，并考虑地形、气候等影响积雪分布的因素将有利于改善空间插值精度。

英文摘要：

The spatial interpolation methods are utilized for study on spatial distribution of snow depth from 110 observatories in the west of China. Both the results of ordinary Kriging and Cokriging represent the spatial structure of snow depth distribution, according to the reality. However, the accuracy of Cokriging is higher than Krig- ing and the result of Cokrigng reflects local characteristics better. The main reasons which affect the precision are the small number of observatories and their asymmetric spatial distribution The precision of spatial interpolation can be improved through reasonable design of sampling, suitably selecting interpolation methods, and considering the influencing factors of snow distribution, such as terrain and climate.