除多, 珠海英, 任秀珍, 巴顿. 一种基于GIS的气象要素空间插值方法[J]. 高原山地气象研究, 2010, 30(1): 41-44. DOI: 10.3969/j.issn.1674-2184·2010.01.007
引用本文: 除多, 珠海英, 任秀珍, 巴顿. 一种基于GIS的气象要素空间插值方法[J]. 高原山地气象研究, 2010, 30(1): 41-44. DOI: 10.3969/j.issn.1674-2184·2010.01.007
CHU Duo, ZHU Haiying, REN Xiuzhen, BA Dun. A Spatial Interpolation of Climate Data in Lhasa Area,Tibet[J]. Plateau and Mountain Meteorology Research, 2010, 30(1): 41-44. DOI: 10.3969/j.issn.1674-2184·2010.01.007
Citation: CHU Duo, ZHU Haiying, REN Xiuzhen, BA Dun. A Spatial Interpolation of Climate Data in Lhasa Area,Tibet[J]. Plateau and Mountain Meteorology Research, 2010, 30(1): 41-44. DOI: 10.3969/j.issn.1674-2184·2010.01.007

一种基于GIS的气象要素空间插值方法

A Spatial Interpolation of Climate Data in Lhasa Area,Tibet

  • 摘要: 根据气候学方程建立的多元回归方法,在地理信息系统空间分析功能的支持下,实现了西藏拉萨地区气温、降水等气象要素的空间网格化。得出,上述方法对拉萨地区等山地地区气象要素的空间网格化方面是有效的手段,该方法对气温的空间插值精度优于降水。

     

    Abstract: Spatial interpolation is one of important spatial analysis methods of GIS and it is used for studying spatial distribution of climate variables for areas where the meteorological stations are sparse and its distribution is unreasonable.Also, it is a precondition to establish spatial models in these areas.

     

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