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Combining a Rain Microphysical Model and Observations: Implications for Radar Rainfall Estimation

机译:结合雨微微物理模型和观察:雷达降雨估计的影响

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A bin-model was used to characterize the signature of dynamical microphysical processes on Z-R relationships used for radar rainfall estimation. The sensitivity analysis performed shows that coalescence is the dominant microphysical process for low to moderate rain intensity regimes (R < 20mm h~(-1)), and that rain rate in this regime is strongly dependent on the spectral properties of the DSD (i.e. the shape). For high intensity rainfall (R > 20mm h~(-1)), collision-breakup dynamics dominate the evolution of the raindrop spectra. Analysis of the time-dependent Z-R relationships produced by the model suggests convergence to a universal Z-R relationship for heavy intensity rainfall. Conversely, the model results show that Z-R relationships severely underestimate reflectivity in the light rainfall regime.
机译:用于雷达降雨估计的Z-R关系的动态微神科过程的特征来表征Z-R关系的签名。进行的敏感性分析表明,聚结是低至中等雨强度制度的显性微作物(R <20mm H〜(-1)),并且该制度的雨率强烈依赖于DSD的光谱特性(即形状)。对于高强度降雨(R> 20mm H〜(-1)),碰撞 - 分手动态主导了雨滴光谱的演变。该模型产生的时间依赖性Z-R关系的分析表明,对重强度降雨的通用Z-R关系的收敛性。相反,模型结果表明,Z-R的关系严重低估了光降雨制度的反射率。

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