Review of the Different Sources of Uncertainty in Single Polarization Radar-Based Estimates of Rainfall
Review of the Different Sources of Uncertainty in Single Polarization Radar-Based Estimates of Rainfall
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DOI：
10.1007/s10712-009-9079-x
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发表时间：
2010
影响因子：
4.6
通讯作者：
G. Villarini;W. Krajewski
中科院分区：
文献类型：
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作者：
G. Villarini;W. Krajewski
众所周知，基于雷达的降雨量估计存在很大的不确定性。这些误差的许多来源是由于参数估计，观测系统和测量原理，以及没有完全理解的物理过程。这些不确定性在所有使用雷达降雨作为输入的模型中的传播（例如，水文模型）或作为初始条件（例如，天气预报模式），以加强对所得结果的理解和解释。本文的目的是提供一个广泛的文献回顾的主要来源的误差影响单极化雷达为基础的降雨估计。这些因素包括雷达校准误差、衰减、地面杂波和异常传播、波束阻塞、Z-R关系的变化、距离退化、降水系统的垂直变化、垂直空气运动和降水漂移以及时间采样误差。最后，作者报告了一些最近的结果，从基于几何建模的总雷达降雨的不确定性。参考书目包括200多篇同行评审的期刊文章。
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 theZ–Rrelation, 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.