Quality Control Analysis of Meteorological Station Metadata
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Abstract:
Meteorological station metadata contains important information that may affect the homogeneity of climate data series and is a scientific reference for analysis, testing, and revision of climate data series. Only the metadata of meteorological stations after quality control and processing can truly reflect the degree of influence on the heterogeneity of climate data series. In this paper, a set of quality control techniques for the metadata of meteorological stations is designed based on the basic idea of traditional quality control method, the methods of limit value inspection, internal consistency inspection and time continuity inspection are used for quality control. The quality control method is used to control the historical data files of 1428 stations in 31 provinces (region, cities) of China from 1951 to 2011. The results show that the quality control program can effectively mark the error information. It can provide reliable quality assurance for the application of metadata of meteorological stations. The quality control method has been applied in the meteorological data service system (MDOS) and in provincial meteorological data departments nationwide.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.