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雷达资料同化对一次飑线过程的次公里尺度数值模拟影响研究

Impact of radar data assimilation on sub-kilometer-scale numerical simulation of a squall line

  • 摘要: 针对2019年6月5日重庆地区发生的一次飑线天气过程,利用中尺度WRF (Weather Research and Forecasting)模式和ARPS (The Advanced Regional Prediction System)的3DVAR三维变分同化系统及其ADAS (ARPS Data Assimilation System)云分析系统,探究了不同模式水平分辨率下雷达资料同化对该飑线系统的模拟改进效果。结果表明:(1) 未同化雷达资料时,模式水平分辨率从900 m提高到300 m,模式模拟结果无明显改进。(2) 不同模式水平分辨率下,同化试验的模拟效果相比同化前,对于雷达回波的形状、强度和落区都有一定改善。(3) 使用雷达资料同化的情况下,同时提高模式水平分辨率,能进一步优化调整模式的动力、热力及水汽条件,使得对本次飑线系统的发生发展和组织结构特征的模拟与实况更接近。

     

    Abstract: The effect of radar data assimilation under different horizontal resolutions on the numerical simulation of a squall line that occurred in Chongqing on 5 June 2019 was studied in this paper. The Weather Research and Forecasting (WRF) model and the three-dimensional variational assimilation (3DVAR) system of the advanced regional prediction system (ARPS) and its data assimilation system (ADAS) were used. Our major conclusions are as follows: (1) Without radar data assimilation, the simulation results are still not significantly improved with the horizontal resolution increasing from 900 m to 300 m. (2) In comparison, with radar assimilation, the simulations under different horizontal resolutions have a certain improvement in the shape, intensity and falling area of the radar echo. (3) Combining an adequate higher resolution with the initial radar data assimilation can further optimize and adjust the dynamic thermal water vapor conditions of the simulation, making the simulated characteristics of evolution process and organizational structure of this squall line closer to the observations. Therefore, improving the horizontal resolution and using radar data assimilation at the same time might significantly improve the model prediction capability.

     

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