The Co-Kriging method is introduced into the interpolation of marine hydrological data for the first time and used to process the rarefied monthly average temperature data from the experimental area of East China Sea in the months of January,February and March.The temperature data are decomposed into physical trend component and residual component.Finally the two estimated components are used to realize the gridding interpolation of the sea surface temperature data.The results show that the effect of interpolation by using the method of Co-Kriging is better than the tradition method by using the trend analysis,the moving average or the ordinary Kriging method.The suggested method i.e.the local variogram fitting can solve the problems that the maximum variation within the search function is divergent and it is hard to obtain the uniform value of sill in all directions.
NETL
NSTL
维普
万方数据
