Cloud phase discrimination technology based on spaceborne millimeter wave radar and lidar data
联合星载毫米波雷达和激光雷达资料的云相态识别技术

According to cloud phase discrimination theory of spaceborne polarization lidar and the idea of temperature threshold method for spaceborne millimeter wave radar, a cloud phase discrimination algorithm using CloudSat and CALIPSO Satellite data based on SVM method has been established. The training and testing data samples used for establishing SVM model mainly derive from CloudSat 2B-GEOPROF-LIDAR and CALIPSO level 2 1km cloud layer and ECMWF auxiliary temperature data products. The discrimination result is compared with CloudSat cloud phase product retrieved by temperature threshold method and CALIPSO cloud phase product and other relevant data. The research result shows that this cloud phase discrimination technique which combines radar and lidar detection data and uses SVM method has a preferable accuracy and can provide better vertical distribution information of cloud phase.