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首页> 外文期刊>ournal of the Meteorological Society of Japan >Evaluation of The Sensitivity of The Dual-Polarization Doppler Warm-Rain Radar Data Assimilation to Radar Forward Operators for a Convective Storm
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Evaluation of The Sensitivity of The Dual-Polarization Doppler Warm-Rain Radar Data Assimilation to Radar Forward Operators for a Convective Storm

机译：对流风暴的双极化多普勒暖雨雷达数据同化对雷达前向算子的敏感性评估

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 The dual-polarization (dual-pol) Doppler radar provides more information on precipitation particles compared with the traditional Doppler radar. In this study, the dual-pol radar observations of differential reflectivity (ZDR), specific differential phase (KDP), and radial velocity (VR) collected by the C-band Advanced Radar for Meteorological and Operational Research are assimilated for a convective storm on June 23,2008. Two different warm-rain radar forward operators for ZDR and KDP data assimilation are built on the basis of empirical relationships between the dual-pol variables and water content in precipitation. The advanced research version of the Weather Research and Forecasting (WRF) model and three-dimensional variational (3DVAR) data assimilation system are used in this study. The main goal of this study is to demonstrate the sensitivity of initialization and prediction of a real case event to the dual-pol radar data assimilation with different radar forward operators. The results show that both forward operators successfully assimilate the ZDR, KDP, and VR data and help with the initialization and short-term forecast for the thunderstorm event. In addition, significant sensitivity caused by the use of different radar operators is found in the thermodynamic, kinematic, and microphysical fields of the storm, especially over the storm region. However, the storm location and movement are not largely influenced; hence, short-term precipitation forecast is not largely affected by the use of different radar operators.
机译：与传统的多普勒雷达相比，双极化（双极化）多普勒雷达可提供更多有关降水颗粒的信息。在这项研究中，将C波段高级雷达用于气象和运营研究的差分反射率（ZDR），特定差分相位（KDP）和径向速度（VR）的双极化雷达观测结果同化为对流风暴2008年6月23日。基于双极化变量与降水含水量之间的经验关系，建立了两种不同的ZDR和KDP数据同化温雨雷达正向算子。在这项研究中使用了高级研究版本的天气研究和预报（WRF）模型和三维变分（3DVAR）数据同化系统。这项研究的主要目的是证明真实事件的初始化和预测对不同雷达前向运营商对双极化雷达数据同化的敏感性。结果表明，两个前向运营商都成功地吸收了ZDR，KDP和VR数据，并为雷暴事件的初始化和短期预测提供了帮助。另外，在风暴的热力学，运动学和微物理场中，尤其是在风暴区域，发现由于使用不同的雷达操作员而引起的显着灵敏度。但是，风暴的位置和移动不会受到很大的影响。因此，短期降水预报不受使用不同雷达运营商的影响很大。

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