GPM Data Application in Analysis of Vertical Structure of Typhoon ‘Mujigae’ Precipitation
Lu Meiqi1，Wei Ming1，2
(1.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters，Nanjing University of Information Science & Technology，Nanjing 210044，China;
2.Key Laboratory of Geographic Information Science，Ministry of Education，East China Normal University，Shanghai，200241)
Abstract：The Global Precipitation Measurement(GPM)mission is designed to provide the next generation of global satellite precipitation products.The GPM Microwave Imager (GMI) carried on the Core Observatory adds high\|frequency channels which can detect light rain and snow.The Dual\|Frequency Precipitation Radar (DPR) combining the data of Ku\|band and Ka\|band helps to obtain more information of cloud and precipitation particles.To detect the cloud and precipitation structure in the typhoon，lots of information from both bands such as precipitation distribution，vertical structure，rain top height and structure of stratus cloud and convective cloud of typhoon ‘Mujigae’ occurring in early October 2015 are analyzed，using 1C\|GMI and 2A\|DPR products of GPM.The results show that the Ku\|band of DPR is better at detecting precipitation and bright band.However，Ka\|band has better effects on detecting small particles of the cloud top.The near\|surface precipitation rate centers upon values below 20mm/hr and partly focuses on 20\|60mm/h.The maximum value of near\|surface precipitation rate is 88.68mm/hr.The rain top height centers on values between 5km and 10km，and the maximum value exceeds 15km.The proportion of stratus cloud precipitation in the typhoon reaches 63.4%，but its average rainfall rate per unit area is lower than convective cloud precipitation by 37%.The detecting results of DPR and ground\|based SA\|band radar are very close which proves the reliability of DPR data.
卢美圻，魏鸣. GPM资料在分析“彩虹”台风降水垂直结构中的应用[J]. 遥感技术与应用, 2017, 32(5): 904-912.
Lu Meiqi，Wei Ming. GPM Data Application in Analysis of Vertical Structure of Typhoon ‘Mujigae’ Precipitation. Remote Sensing Technology and Application, 2017, 32(5): 904-912.