Quality Control Schemes and Its Application to Automatic Surface Weather Observation System
Tao Shi-wei · Gaoyuan qixiang · 2009
With the enhancement of the meteorological observation system in China,the Automatic surface Weather observation System(AWS) is coming into the perfect condition.Local AWS network has been setup in many areas and much attention has been paid to the application of AWS data.Somehow,data quality turns to be one of the roadblock in the ways of AWS data application.In order to fulfill the function of AWS data better,a feasible observation data quality control module should be designed to make sure AWS data that used in the meteorological research and operation with a higher quality.The AWS QC module in this paper consult the advantage of other AWS QC module of advance countries and is brought forward consulting the characteristic of AWS and the requirement of the high resolution Numerical Weather Prediction(NWP) operational model.Many quality control techniques are integrated into the QC module,such as the station extreme value check,the interior consistency check,the consistence check with first guess,the temporal consistency check,the space consistency check,the decision-making arithmetic,the statistic and feedback and technique.The advantage of the AWS QC module have been show in theory from sensitivity and independency of the check methods on gross error.The AWS data quality control module has been applied into AWS data in Beijing area.Subjective verification result shows that wrong information in the observation can be distinguished effectively from the AWS data.