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LIU Ying, YAN Jing, WANG Haijun, XIANG Fen, YAN Qiaoqiao, LIU Wen. 2016: Study on an hourly relative humidity data quailty control scheme based on the relationship between temperature and relative humidity. Torrential Rain and Disasters, 35(3): 234-242. DOI: 10.3969/j.issn.1004-9045.2016.03.006
Citation: LIU Ying, YAN Jing, WANG Haijun, XIANG Fen, YAN Qiaoqiao, LIU Wen. 2016: Study on an hourly relative humidity data quailty control scheme based on the relationship between temperature and relative humidity. Torrential Rain and Disasters, 35(3): 234-242. DOI: 10.3969/j.issn.1004-9045.2016.03.006

Study on an hourly relative humidity data quailty control scheme based on the relationship between temperature and relative humidity

  • Aiming at the main problems in the quality control of humidity, three kinds of quality control methods were designed in this study using three kinds of the relationship of temperature and humidity, e.g., temperature and humidity jump consistency check, humidity sensor ossified phenomenon check, and spatial consistency check of the quality control parameters of temperature and humidity. Tested by the data at 2428 stations in China, results showed that the averaged rate that a station fails to pass the jump consistency check is 1.2 times per year, andthe failures were mainly concentrated in a small number of stations. During three and half years, the humidity sensors at 22 stations were ossi-fied. The average period of the ossified phenomenon lasts 17 d, and the maximum period is 65 d. In addition, the spatial consistency check reduces the false detecting rate.
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