| The clouds liquid water content is always a very important physical parameter of the Cloud physics, especially in the weather modification field,which is the quality of liquid water drops in the certain volume air. The liquid water content and Super-cooled water is prerequisite of artificial rainfall. Using radar remote sensing, satellite remote sensing and microwave radiometer indirect measuring the liquid water content is not mature, which is difficult to obtain the distribution of all parts of the clouds. The distribution of the cloud liquid water content(CLWC) and precipitation potential of the cloud have close relationship with weather process, and detecting the CLWC is important for improving weather forecasts and disaster warning ability. The CLWC sensor can be used to inspect meteorological radar and satellite accuracy of detecting the CLWC, which is good for improving the ability of detection. But now, the numerical model of CLWC sensor is lack in domestic, then the CLWC Test and Verification System provides an experiment platform and accurate meteorological environment, which is important for creation and verification of CLWC sensor.Firstly, this paper summarizes several methods of detecting CLWC, which is in the methods of detection, application and development, verification technology and existing problems. Such as optical measurement method(PMS particle measurement system), microwave measurement method (microwave radiometer), the hotline measurement method (hotline instrument). Making relevant requirements to the CLWC Testing Wind Tunnel based on the hotline measurement method.Secondly, the design research of the CLWC Testing Wind Tunnel, which is used to verification of LWC sensor. The system preliminary conception and final requirements were explained, and puts forward circulation system and open system in their respective test methods and superiority.Airborne cloud liquid water content (CLWC) sensors have been used in weather observation and weather modification for years. However, traditional CLWC sensors are relatively bulky and heavy. Additionally, it is inconvenient to use wind tunnel to calibrate traditional sensors. In order to meet the need of wind tunnel calibration tests, reduce the wind signal interference and reduce the cooling effect of high water content cloud, two new types of hot-wire water meter content sensors are designed in this paper. Using steady-state heat transfer theory, a finite element method is used to simulate temperature distribution of the new water content sensors, including the scenario in which cloud water droplets evaporates as colliding the sensors. In order to minimize sensor error, convection is also considered in the finite element model. Through the numerical analysis of the two new types of hot-wire water content sensors, it is concluded that the sensors designed in this work are able to reduce the wind interference error and extend the CLWC measurement range of the instrument.Finally, a finite element method is used to simulate temperature distribution of the new CLWC sensor based on MEMS, which is shows that the new CLWC sensor has response fast speed and Low consumption. On the condition that weather allows, it will be used artificial affect weather experiment by uavs(unmanned aerial vehicle).that is will to reduce cost equipment on the artificially affect weather system. |