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首页> 外文期刊>Journal of Applied Remote Sensing >Improving C-band weather radar reflectivity attenuation based on two-dimensional video disdrometer data
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Improving C-band weather radar reflectivity attenuation based on two-dimensional video disdrometer data

机译:基于二维视频抑制计数计数据改善C波段气象雷达反射率衰减

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A method was proposed for correcting the attenuation of C-band weather radar reflectivity data based on a 2-D video disdrometer. The relationship between the C-band weather radar reflectivity attenuation rate k and radar reflectivity factor Z was derived using radar meteorological equations. A video disdrometer was used to correct the deformation of large (1 to 9 mm) raindrops, and the coefficients a and b of the k - Z relationships for different precipitation types under Rayleigh scattering and Mie scattering conditions were inverted separately. Data from a weather detection instrument and rain gauge were combined with Newton's iteration method for database-by-database accumulative corrections of the C-band radar reflectivity factor. Observed C-band weather radar data recorded in Xichang city and video disdrometer data from Xichang, Dechang, Mianning, and Xide counties during 2016 and 2017 were selected (all areas are in Liangshan Prefecture, Sichuan Province). The relationships between the raindrop size distribution and the radar reflectivity factor and attenuation rate in stratiform and convective cloud precipitation were analyzed, and the k - Z relationships under different precipitation types in Liangshan were presented. Additionally, radar reflectivity attenuation correction errors were analyzed using observed C-band weather radar data under strong convective storm precipitation. The proposed method achieves far smaller root mean square errors of the radar reflectivity factor than traditional attenuation correction methods in both the radial and the vertical directions. Overall, the proposed method has a better attenuation correction effect for C-band weather radar reflectivity data than traditional attenuation correction methods, which may enable the popularization and application of the proposed method elsewhere. (C) 2020 Society of Photo-Optical Instrumentation Engineers (SPIE)
机译:提出了一种方法,用于校正基于二维视频抑制计的C频段天气雷达反射率数据的衰减。使用雷达气象方程来推导C频段天气雷达反射率衰减率K和雷达反射率因子Z之间的关系。视频抑制计用于校正大(1至9mm)雨滴的变形,并且在瑞利散射和MIE散射条件下对不同沉淀类型的K-Z关系的系数A和B分开反转。来自天气检测仪器和雨量仪的数据与牛顿的迭代方法相结合,用于C波段雷达反射率因子的数据库累计校正。观察到了在西昌市和视频抑菌数据中录制的C-BAND天气雷达数据来自西昌,塞尚,蒙宁和2016年江切县的录像带数据(所有地区都在四川省凉山县)。分析了雨滴尺寸分布与层状和对流云沉淀中雷达反射率因数和衰减率之间的关系,并提出了凉山不同沉淀类型的K - Z关系。另外,在强烈的对流风暴降水下使用观察到的C频段天气雷达数据分析了雷达反射率衰减校正误差。所提出的方法实现了雷达反射率的较小均方误差,而不是径向和垂直方向上的传统衰减校正方法。总的来说,所提出的方法具有比传统衰减校正方法更好的C波段天气雷达反射率数据的衰减校正效果,这可以实现其他地方所提出的方法的普及和应用。 (c)2020光学仪表工程师协会(SPIE)

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