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High Resolution Radar Accumulation Maps for Verification of WRF+VAR(National Radar Network)

机译:用于验证WRF + VAR(国家雷达网络)的高分辨率雷达累积图

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@@ 1. Introduction A contemporary theme in numerical weather prediction (NWP) is the assimilation of radar observations of reflectivity and radial Doppler winds into convective scale models. As NWP is partly an initial value problem, there is some expectation that by assimilating high resolution observations the short term skill of model predictions should be increased. However there remains some question about the best way to determine quantitative precipitation forecasts (QPF) skill. Direct comparison of model accumulations to gauge networks or remotely sensed satellite or C-band radar areal accumulations is problematic as each observation type suffers from scale problems (e.g. Fabry et al. 1994), particularly at the scales associated with convective rainfall. In this work we use a high resolution X-band radar accumulation product, which overcomes some scale problems, to estimate the total precipitation falling into the catchment. This observation can then be compared to model accumulation above the catchment.
机译:@@ 1.简介数值天气预报(NWP)的一个当代主题是将雷达对反射率和径向多普勒风的观测同化为对流尺度模型。由于NWP在某种程度上是一个初始值问题,因此有人期望通过吸收高分辨率的观测值,应该提高模型预测的短期技能。但是,关于确定定量降水预报(QPF)技能的最佳方法仍然存在一些问题。将模型的累积量与标准网络或遥感卫星或C波段雷达的区域累积量进行直接比较是有问题的,因为每种观测类型都存在规模问题(例如Fabry等,1994),特别是在与对流降雨有关的规模上。在这项工作中,我们使用了高分辨率的X波段雷达累积产品,该产品克服了一些规模问题,可以估算落入流域的总降水量。然后可以将此观测结果与流域上方的模型积累进行比较。

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