Application of A Comprehensive Analysis Method on Hourly Surface Air Temperature Interpolation over A Complex Terrain Region
Generating accurate and fine gridded meteorological data becomes one of the final goals in meteorological modernization,which is the key fact in doing researches in meteorology,hydrology,and ecology sciences.How to convert the information from local observations into the whole region is getting more and more attention from scientists in meteorology,hydrology,geography,ecology and so on.In practical application,interpolation method is usually used to achieve the grid data of the problem.To obtain accurate and fine gridded meteorology information,a new interpolation method named Comprehensive Analysis method (IN) is used to reproduce the gridded 2 m temperature dataset based on the high resolution numerical prediction,digital elevation model,and surface observation data over a complex terrain region.This method divides the model prediction error into the error of modeling the weather system and the error of describing the topography,and then uses the observation data to revise these two parts separately.Four steps are used in the revising:Firstly,the numerical model predicting temperature is used as the first guess field in the reanalysis grid system;Secondly,the first guess value and the corresponding error are obtained on the observation site;Thirdly,this error is interpolated to the reanalysis grid system;Finally,the gridded error is added into the first guess field to obtain the final temperature field.The inter-comparison is mode among the Inverse Distance Weighting (IW),Ordinary Kriging (KR),Gradient Inverse Distance Weighting (IG) and IN based on the hourly observed scattered station 2 m temperature data over Zhejiang province and its surround area.The results show that the IN method produces the best result,follows the IG,IW,and KR.The IG and IN have greater abilities on reproduce the temperature over high altitude area than the IW and KR.The IN can produce a normal and reasonable temperature field over the no data area,which shows a stronger ability on no data interpolation.The interpolation accuracy increases with the number of sites increase,and no improvements appear when the number of sites reaches 1000 in IN and 1600 in other three methods.
Gridded temperatureComprehensive analysisInterpolationComplex terrain region
NETL
NSTL
万方数据
维普
