CAJ | 학술논문

目前对降水量空间插值方法的研究很多，针对反距离权重插值、样条函数插值、普通克里金插值在降水量空间插值中的缺陷，提出引入月平均总云量影响因子的协同克里金插值方法。并以内蒙古降水量数据为例进行实验，实验结果表明，引入月平均总云量影响因子的协同克里金插值在精度和拟合度方面得到改善。
목전대강수량공간삽치방법적연구흔다，침대반거리권중삽치、양조함수삽치、보통극리금삽치재강수량공간삽치중적결함，제출인입월평균총운량영향인자적협동극리금삽치방법。병이내몽고강수량수거위례진행실험，실험결과표명，인입월평균총운량영향인자적협동극리금삽치재정도화의합도방면득도개선。
At present, there are many rainfall spatial interpolation methods. Co - Kriging interpolation methods which consider monthly averaged total cloud amount are put forward to point against the fault of Inverse Distance Weighted interpolation, Spline interpolation and Ordinary Kriging interpolation. The rainfall data in Neimenggu is adopted in the experiment. The experimental results show that Co -Kriging interpolation is superior to others in the precision and IOA.