Aiming at measurement errors of tipping bucket rain gauge sensor

an effective measures is proposed and three types of curve fitting algorithms are evaluated in predicting rain gauge data of Beijing 7. 21 rainstorm event observations

by the comparison of their predicting performance. The experimental results show that the prediction effect of general regression neural network（ GRNN） algorithm is the best of the three. Since there are some limits to use rain gauge data by meteorological department

for which an intelligent information processing scheme is also proposed based on the predicted data

which can entirely make the rainfall information more accurate

intuitive and comprehensive

improving the coping abilities of meteorological department for emergency events.