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Two Different Integration Methods for Weather Radar-Based Quantitative Precipitation Estimation

机译:基于天气雷达的定量降水估计的两种不同的集成方法

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摘要

We discuss two different integration methods for radar-based quantitative precipitation estimation (QPE): the echo intensity integral and the rain intensity integral. Theoretical analyses and simulations were used to test differences between these two methods. Cumulative rainfall calculated by the echo intensity integral is usually greater than that from rain intensity integral. The difference of calculated precipitation using these two methods is generally smaller for stable precipitation systems and larger for unstable precipitation systems. If the echo intensity signal is sinusoidal, the discrepancy between the two methods is most significant. For stratiform and convective precipitation, the normalized error ranges from −0.138 to −0.15 and from −0.11 to −0.122, respectively. If the echo intensity signal is linear, the normalized error ranges from 0 to −0.13 and from 0 to −0.11, respectively. If the echo intensity signal is exponential, the normalized error ranges from 0 to −0.35 and from 0 to −0.30, respectively. When both the integration scheme and real radar data were used to estimate cumulative precipitation for one day, their spatial distributions were similar.
机译:我们讨论了基于雷达的定量降水估计(QPE)的两种不同的集成方法:回波强度整体和雨强度积分。理论分析和仿真用于测试这两种方法之间的差异。通过回声强度积分计算的累积降雨通常大于雨强度积分的累计降雨量。使用这两种方法计算的沉淀的差异通常较小,用于稳定的沉淀系统,对于不稳定的降水系统较大。如果回声强度信号是正弦的,则两种方法之间的差异最为显着。对于层状和对流沉淀,分别从-0.138至-0.15和-0.11至-0.122的归一化误差分别为-0.138至-0.122。如果回声强度信号是线性的,则归一化误差分别从0到-0.13和0到-0.11。如果回声强度信号是指数的,则归一化误差分别为0到-0.35和0到-0.30。当整合方案和真实雷达数据都用于估计一天的累积降水时,它们的空间分布是相似的。

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