针对隆德站地基微波辐射计温度资料，根据数据本身规律及各类疑误数据表现形式，结合历史探空资料，利用垂直变化强度极值检查、标准差检查、极值检查、奇异值检查和僵值检查5种检查方法进行质量控制实验，与同期探空资料比对，分析其应用效果。结果表明：各质量检查结果对数据质量均有一定的区分能力，且对控制参数是敏感的；数据质量以晴空最优、云天次之、降水稍差，各高度层数据质量基本相当。质量控制结果相关性分析表明各高度层上晴空相关性最好，云天次之，降水稍差，相关性都处在较高的水平上；降水情况下质量控制效果最显著。
The quality control of
meteorological data is a very important work in the processing of
meteorological data, because the microwave
radiation products are unconventional meteorological observation data, so the method of quality control for conventional
meteorological observation data is not fully applicable to microwave
radiometer. In order to study the
quality control method on the temperature data by RPG-HATPRO-G4 type ground-based multichannel microwave radiometer and provide
technical support for effective use of temperature data, this paper proposes five methods according to the
rules of data itself and various types of the wrong data using the temperature
data collected by RPG-HATPRO-G4 type ground-based multichannel microwave radiometer at Longde
Station, Ningxia Province, China, combined with the 5-year historical sounding data from Pingliang Station, Gansu Province, China which is 49 kilometers far from the Longde
Station. The five methods
include extreme value check of vertical change intensity, standard deviation check of vertical change intensity, extreme value check, singular value check and invariable value check. They are further combined into three types：comprehensive check of vertical consistency, extreme value check and comprehensive check of time
consistency. And then the
combination check and weighted check results are given by synthesizing the
three types of check results．Finally, in order to analyze the effect of these methods, we applied these methods to the collected data and
compared the results with the sounding data in the same period. The results
show that the data quality in the case of clear weather is better than that in
the case of cloud and precipitation weather,and the data in the cloud weather
is better than that in the precipitation weather. For the abovementioned 3 weather conditions, the data portion of high quality accounts for 97.86%, 97.83% and 84.21% of their corresponding overall data
respectively. The data quality at
each layer is basically equal, the data of poor
quality are mostly contributed by the precipitation weather. Combination check and weighted check both have better
ability to measure data quality and the respective quality control results are
sensitive to the corresponding control parameters. The correlation analysis of the quality control
results shows that the correlation is the best in the case of clear weather at
each altitude, followed by the
cloudy weather, and the worst for the
precipitation weather, and their correlation
coefficients are all at high levels. The effect of data quality control is the most obvious
in the case of precipitation weather．The experiment in this study demonstrated this scheme
of data quality control is feasible and provided the mechanism to distill the
temperature data from the RPG-HATPRO-G4 type ground-based multichannel microwave radiometer for other
applications.
