机构地区:[1]Key Laboratory of Mesoscale Severe Weather of Ministry of Education and School of Atmospheric Sciences,Nanjing University,163 Xianlin Road,Nanjing 210023,China [2]State Key Laboratory of Severe Weather and Joint Center for Atmospheric Radar Research of China Meteorological Administration and Nanjing University,Chinese Academy of Meteorological Sciences,Beijing 100081,China [3]National Center for Atmospheric Research,Boulder,Colorado 80301,USA [4]School of Meteorology and Advanced Radar Research Center,University of Oklahoma,Norman,Oklahoma 73019,USA [5]School of Atmospheric Sciences,and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies,Sun Yat-sen University,Guangzhou 510006,China
出 处:《Advances in Atmospheric Sciences》2019年第9期961-974,共14页大气科学进展(英文版)
基 金:primarily supported by the National Key Research and Development Program of China(Grant Nos.2017YFC1501703 and 2018YFC1506404);the National Natural Science Foundation of China(Grant Nos.41875053,41475015 and 41322032);the National Fundamental Research 973 Program of China(Grant Nos.2013CB430101 and2015CB452800);the Open Research Program of the State Key Laboratory of Severe Weather;the Key Research Development Program of Jiangsu Science and Technology Department(Social Development Program,No.BE2016732)
摘 要:Dual-polarization(dual-pol)radar can measure additional parameters that provide more microphysical information of precipitation systems than those provided by conventional Doppler radar.The dual-pol parameters have been successfully utilized to investigate precipitation microphysics and improve radar quantitative precipitation estimation(QPE).The recent progress in dual-pol radar research and applications in China is summarized in four aspects.Firstly,the characteristics of several representative dual-pol radars are reviewed.Various approaches have been developed for radar data quality control,including calibration,attenuation correction,calculation of specific differential phase shift,and identification and removal of non-meteorological echoes.Using dual-pol radar measurements,the microphysical characteristics derived from raindrop size distribution retrieval,hydrometeor classification,and QPE is better understood in China.The limited number of studies in China that have sought to use dual-pol radar data to validate the microphysical parameterization and initialization of numerical models and assimilate dual-pol data into numerical models are summarized.The challenges of applying dual-pol data in numerical models and emerging technologies that may make significant impacts on the field of radar meteorology are discussed.Dual-polarization(dual-pol) radar can measure additional parameters that provide more microphysical information of precipitation systems than those provided by conventional Doppler radar. The dual-pol parameters have been successfully utilized to investigate precipitation microphysics and improve radar quantitative precipitation estimation(QPE). The recent progress in dual-pol radar research and applications in China is summarized in four aspects. Firstly, the characteristics of several representative dual-pol radars are reviewed. Various approaches have been developed for radar data quality control,including calibration, attenuation correction, calculation of specific differential phase shift, and identification and removal of non-meteorological echoes. Using dual-pol radar measurements, the microphysical characteristics derived from raindrop size distribution retrieval, hydrometeor classification, and QPE is better understood in China. The limited number of studies in China that have sought to use dual-pol radar data to validate the microphysical parameterization and initialization of numerical models and assimilate dual-pol data into numerical models are summarized. The challenges of applying dual-pol data in numerical models and emerging technologies that may make significant impacts on the field of radar meteorology are discussed.
关 键 词:DUAL-POLARIZATION RADAR QUANTITATIVE PRECIPITATION estimation PRECIPITATION MICROPHYSICS DROP size distribution numerical model
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