Comparative Study of Uncertainty of GUM and MCM Rated Rainfall Sensors
Taking the calibration results of SL3-1 double tipping bucket rain sensor as an example,a comparative study of uncertainty of rated rainfall sensors is carried out.Firstly,the rainfall sensor structure,working principle and test scheme are analyzed.Then,the measurement uncertainty of the rainfall sensor error is analyzed and evaluated by using the Guide to the Expression Uncertainty in Measurement(GUM)and Monte Carlo method(MCM)respectively,and it is found that the MCM has a more complete theoretical basis than the GUM,and it can effectively simplify the process of evaluating the uncertainty.Finally,according to the method of Assessing Measurement Uncertainty by Monte Carlo Method,the applicability of GUM is verified by MCM,and it is found that GUM is not suitable for assessing the measurement uncertainty of tipping bucket rainfall sensor error.The results of this study show that MCM is more suitable for assessing the measurement uncertainty of the tipping bucket rainfall sensor error,which can improve the credibility of the rainfall sensor measurement results.This study effectively breaks the status of relying only on GUM to assess the uncertainty of rainfall sensors in previous studies,which leads to low reliability of the results.The study has important theoretical and applied values for the rational application of observational data and the improvement and research and development of instruments and other aspect.
Tipping bucket rainfall sensorMeasurement errorUncertaintyMonte Carlo method(MCM)Guide to the Expression Uncertainty in Measurement(GUM)
万方数据
维普
