A Quality Control Routine For Dunhuang Gobi Meteorology Tower Data
Zhenchao Li · Journal of Arid Meteorology · 2010
This paper discussed the problem of quality control of meteorological observation data and emphasized its importance. Integrated with the ground quality control,a series of quality control methods were advanced to deal with observation data,such as logical extremum check,static check,time consistency check,similarity check,synthetic method,quality code and manual interference check. Especially in the treatment process,using the logical extremum check and synthetic method can make the test results more reliable. And the quality control flow method was applied on data from Dunhuang meteorology tower from April 2001 to April 2009. The results demonstrated that the method could differentiate the missing,error,dubious data and mark it. The tower data was reliable with normal data accounting for 91.2% of the total data. Most of the abnormal data were missing observations accounting for 76.8%; error data accounted for 1.93% of the total data. Most of error data are static data,accounting for 87.02%,the consistency error and logical extreme errors coming next.