n recent years, the new automatic weather station (AWS) observation on the ground has played an increasing role in groundbased meteorological stations， and the data precheck is an important task to ensure the accuracy of meteorological data. With the applications of computer processing to the AWS report precheck, lots of logic errors between the data can be resolved. However, because the existing groundbased meteorological observation and forecasting business softwares on the function of precheck statements are not very well, and also by equipment failure of collection data and the impact of mistakes in operation, it is easy to make the record data of meteorological factors having the abnormal extremum. Analysis is conducted on the causes of such problems and the related treatment methods are proposed.