Abstract：The application of double AWS improves the reliability and availability of surface observing data. However,the difference of the double AWS air temperature data exceeds the allowable range sometimes. Which data is correct from the two temperature sensors by direct analysis cannot be judged out. A method for analyzing and judging double AWS erroneous data is proposed based on national observation station and its surrounding area AWS from all-year air temperature data. The method utilizes the spatial consistency and time consistency by means of linear relationship. The status of the temperature sensors can be known by calculating previous data and analyzing the changing tendency. Experiment results show that the method could analyze the erroneous double AWS data efficiently and provide reference basis for judging,correcting and researching the observing data. Performance of temperature sensors can be known by referring to this method and the questionable one should be replaced in time.
李文博,杨 波,颜平江,党 岳. 双套站错误气温数据的分析方法[J]. 气象水文海洋仪器, 2016, 33(2): 95-100.
Li Wenbo,Yang Bo,Yan Pingjiang,Dang Yue. Analysis methods on erroneous air temperature data in double AWS. Meteorological Hydrological and Marine Instrument, 2016, 33(2): 95-100.
YOU J,HUBBARD K G,GODDARD S.Comparison of methods for spatially estimating station temperatures in a quality control system[J]. International Journal of Climatology,2008,28(6):777-787.
2016, Vol. 33 
