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作 者:杨晓 黄兴友[4] 孙鸿娉 王玉莹 李培仁 YANG Xiao;HUANG Xingyou;SUN Hongping;WANG Yuying;LI Peiren(Shanxi Weather Modification Center,Taiyuan 030032,China;Key Laboratory for Cloud Physics of China Meteorological Administration,CMA Weather Modification Centre,Chinese Academy of Meteorological Sciences,Beijing 100081,China;Shanxi Key Laboratory of Weather Modification,Taiyuan 030032,China;School of Atmospheric Physics,Nanjing University of Information Science and Technology,Nanjing 210044,China;Meteorological Society of Shanxi Province,Taiyuan 030000,China)
机构地区:[1]山西省人工影响天气中心,太原030032 [2]中国气象局云雾物理环境重点开放实验室,北京100081 [3]人工影响天气山西省重点实验室,太原030032 [4]南京信息工程大学大气物理学院,南京210044 [5]山西省气象学会,太原030000
出 处:《气象学报》2023年第5期827-837,共11页Acta Meteorologica Sinica
基 金:国家重点研发计划项目(2019YFC1510301);中国气象局云雾物理环境重点开放实验室开放课题(2019Z01609);中央引导地方科技发展资金项目(YDZJSX2021B017);山西省重点研发计划项目(202202130501020);国家自然科学基金项目(42005110)。
摘 要:液态水含量(Liquid Water Content,LWC)是重要的云参数,对了解云微物理过程以及在人工影响天气效果检验等方面有重要的指导意义。针对已有研究的反射率因子(Z)与LWC经验公式适用范围有限的问题,利用2018—2020年飞机观测资料,在验证中国首部机载云雷达(Ka-band Precipitation Radar,KPR)探测能力和数据可靠性的基础上,采用分档平均方案,建立了适用于降水性积层混合云的Z-LWC经验公式(Z=2454.71×LWC^(1.614)),决定系数达0.995,均方根误差(RMSE)为0.2 g/m^(3)。验证表明,该经验公式反演的液态水含量与飞机实测的LWC吻合较好,且在大多数情况下都优于已有经验公式反演的结果。Liquid Water Content(LWC)is a key variable of clouds and has great implication for understanding cloud microphysical processes and validating weather modification.However,the application of relationships between reflectivity(Z)and LWC proposed in previous studies is limited.In this study,the reliability of the airborne Ka-band millimeter wavelength cloud radar(Ka-band Precipitation Radar,KPR)and cloud particle detection instruments are validated first.Cloud data collected by the radar and the particle instrument onboard airplane during 2018—2020 are then processed and smoothed within different cloud diameter ranges and radar reflectivity ranges to build a new Z-LWC relationship suitable for precipitating stratiform-convective cloud.The new relationship is(Z=2454.71×LWC^(1.614)),with determination coefficient of 0.995 and root mean squared error(RMSE)is 0.2 g/m^(3).Verification shows that the retrieved LWC is consistent with the measurements by the cloud particle detection instruments,and the discrepancy between the retrieval and observations is smaller than that between retrievals by other Z-LWC relationships and observations.
分 类 号:P412[天文地球—大气科学及气象学]
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