ISSN 1000-0526
CN 11-2282/P
CN 11-2282/P
Analysis of Abnomal Extremum Data in the Precheck of AWS Monthly Report
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Abstract:
n recent years, the new automatic weather station (AWS) observation on the ground has played an increasing role in groundbased 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 groundbased 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.
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