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Applicitation Test of Doppler Radar Data in Numerical Model ARPS

机译:多普勒雷达数据在ARPS数值模型中的应用测试

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@@ 1.Introduction In Numerical weather forecast, whether the initial field is good have a direct impact on the forecast.ln the traditional numerical prediction, we choose routine meteorological observation data as the initial field, which lack the macroscopic and microscopic physics features of cloud for precipitation forecast, and this caused the problem called spin-up. Doppler weather radar can obtain the information within the cloud,such as radial wind speed and reflectivity, with high resolution that conventional observation data is incomparable. In recent years, there are more and more meteorologist at home and abroad studying the application of doppler radar radial velocity and reflectivity material into the high-resolution forecasting model. By simulating one rainstorm process around Jiangsu Province, based on ARPS model and its Data Analysis System ADAS and three-dimensional variational assimilation 3DVAR. we analyzed the impact of improving the initial field and getting better forecast results which brought by the two kinds of radar data added in differernt combinations.
机译:@@ 1.引言在数值天气预报中,初始场是否良好对预报有直接影响。在传统的数值预报中,我们选择常规气象观测数据作为初始场,缺乏常规气象观测数据的宏观和微观物理特征。云用于降水预测,这引起了称为旋转加速的问题。多普勒天气雷达能够以高分辨率获得云内的信息,例如径向风速和反射率,这是常规观测数据无法比拟的。近年来,国内外越来越多的气象学家研究了多普勒雷达径向速度和反射率资料在高分辨率预报模型中的应用。基于ARPS模型及其数据分析系统ADAS和三维变分同化3DVAR,通过模拟江苏省一次暴雨过程。我们分析了两种不同组合添加的雷达数据对改善初始场和获得更好的预测结果的影响。

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