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Review of the Different Sources of Uncertainty in Single Polarization Radar-Based Estimates of Rainfall

机译:基于单极化雷达的降雨估算中不同不确定性源的回顾

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摘要

It is well acknowledged that there are large uncertainties associated with radar-based estimates of rainfall. Numerous sources of these errors are due to parameter estimation, the observational system and measurement principles, and not fully understood physical processes. Propagation of these uncertainties through all models for which radar-rainfall are used as input (e.g., hydrologic models) or as initial conditions (e.g., weather forecasting models) is necessary to enhance the understanding and interpretation of the obtained results. The aim of this paper is to provide an extensive literature review of the principal sources of error affecting single polarization radar-based rainfall estimates. These include radar miscalibration, attenuation, ground clutter and anomalous propagation, beam blockage, variability of the Z-R relation, range degradation, vertical variability of the precipitation system, vertical air motion and precipitation drift, and temporal sampling errors. Finally, the authors report some recent results from empirically-based modeling of the total radar-rainfall uncertainties. The bibliography comprises over 200 peer reviewed journal articles.
机译:众所周知,基于雷达的降雨量估算存在很大的不确定性。这些错误的许多根源是由于参数估计,观测系统和测量原理,而不是充分理解的物理过程。这些不确定性在所有以雷达暴雨为输入(例如,水文模型)或初始条件(例如,天气预报模型)的模型中的传播是必须的,以增强对所得结果的理解和解释。本文的目的是对影响基于单极化雷达的降雨估算的主要误差来源提供广泛的文献综述。这些因素包括雷达失调,衰减,地物杂波和异常传播,波束阻塞,Z-R关系的可变性,距离退化,降水系统的垂直可变性,垂直空气运动和降水漂移以及时间采样误差。最后,作者报告了基于经验的总雷达降雨不确定性模型的一些最新结果。参考书目包括200余篇同行评议的期刊文章。

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