Cloud-Type-Dependent 1DVAR Algorithm for Retrieving Hydrometeors and Precipitation in Tropical Cyclone Nanmadol from GMI Data
作者机构:School of the EnvironmentChina University of Geosciences(Wuhan)Wuhan 430074China Chinese Academy of Meteorological SciencesBeijing 100081China CMA Earth System Modeling and Prediction CentreBeijing 100081China Key Laboratory of Radiometric Calibration and Validation for Environmental SatellitesNational Satellite Meteorological Center(National Center for Space Weather)of CMABeijing 100081China
出 版 物:《Advances in Atmospheric Sciences》 (大气科学进展(英文版))
年 卷 期:2024年第41卷第3期
页 面:407-419页
核心收录:
学科分类:07[理学] 070601[理学-气象学] 0706[理学-大气科学]
基 金:funded by the National Key Research and Development Program of China(Grant No.2022YFC3004202) the National Natural Science Foundation of China(Grant Nos.U2142212 and 42105136)
主 题:cloud-dependent 1DVAR hydrometeor precipitation GMI DPR
摘 要:Understanding the structure of tropical cyclone(TC)hydrometeors is crucial for detecting the changes in the distribution and intensity of *** this study,the GMI brightness temperature and cloud-dependent 1DVAR algorithm were used to retrieve the hydrometeor profiles and surface rain rate of TC Nanmadol(2022).The Advanced Radiative Transfer Modeling System(ARMS)was used to calculate the Jacobian and degrees of freedom(△DOF)of cloud water,rainwater,and graupel for different channels of GMI in convective *** retrieval results were compared with the Dual-frequency Precipitation Radar(DPR),GMI 2A,and IMERG *** is shown that from all channels of GMI,rain water has the highest△DOF,at *** to the radiance Jacobian to atmospheric state variables,cloud water emission dominates its *** rain water,the emission of channels 1–4 dominates *** with the GMI 2A precipitation product,the 1DVAR precipitation rate has a higher correlation coefficient(0.713)with the IMERG product and can better reflect the location of TC *** the TC eyewall,the highest radar echo top indicates strong *** the melting layer where Ka-band attenuation is strong,the double frequency difference of DPR data reflects the location of the *** DPR drop size distribution(DSD)product shows that there is a significant increase in particle size below the melting layer in the spiral rain ***,the particle size may be one of the main reasons for the smaller rain water below the melting layer retrieved from 1DVAR.