双套站错误气温数据的分析方法

Analysis methods on erroneous air temperature data in double AWS

双套自动气象站的应用提高了地面气象观测数据的可靠性和可用性,然而,在使用过程中会出现两套站气温数据之差超过最大允许范围的情况,而仅凭人工观察和直接分析无法判断哪一套站的温度传感器出现了问题。以国家级台站双套自动气象站及其周边区域自动站全年整点气温数据为基础,利用传感器之间的线性关系以及时间一致性和空间一致性规律,设计了一种分析和判断双套站错误数据的一种方法。该方法通过计算历史数据,分析温度变化规律,从而判断数据出错时传感器的运行情况。试验结果表明,该方法可以有效的分析双套站错误气温数据,能够为判断、修正和研究观测数据提供参考依据,并有助于掌握传感器性能变化情况,及时对问题仪器进行更换。

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.