Analysis of integrated water vapor and cloud liquid water measured by multi-frequency microwave radiometer

This paper analysizes and retrieves atmospheric integrated water vapor content and liquid water content which are two critical parameters in the process of artificial rainfall and other weather forecasting and weather modification. According to the atmospheric sounding principle and experiment datasets this paper used linear regression method and nonlinear regression method to retrieve these parameters and then chose the better and suitable method-nonlinear regression method. The retrievals using both methods show that the paper successfully obtains the atmospheric integrated water vapor and cloud liquid water content with acceptable root mean square error. And using nonlinear regression method can obtain the integrated water vapor content and liquid water content which are considered as internal levels.