Abstract
The quality control of observation data is an important link in the entire meteorological observation service system chain. The reactive gas observation is different from the observation of other meteorological elements in general, especially the special operations such as periodic zero / span inspection and multi-point calibration involved in instrument observation, and the quality control corresponding to its data is also special character. The main purpose of this article is to find the most effective quality control method for quality control of reactive gas observation data. Six types of quality control methods are used to perform quality control on reactive gas observation data, including extreme value check, triple standard deviation method, zero-span identification method, internal consistency check, time change check, and comprehensive identification check. By comprehensively identifying the data quality control result identification code given by each method, the quality control status of the data is finally determined. The quality control data used are the observation data of Beijing Shangdianzi atmospheric background station in 2018. Conclusion: A comparison of longsequence, multi-site analysis of the data after quality control using 6 methods and the data processed by a single method can draw conclusions. The multi-method comprehensive quality control results are superior to a single traditional meteorological observation data quality control method, which will cause fewer false judgments on the data and ensure the best quality control results of the observation data
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