Updates on the Radar Data Quality Control in the MRMS Quantitative Precipitation Estimation System
Updates on the Radar Data Quality Control in the MRMS Quantitative Precipitation Estimation System
复制标题
MRMS 定量降水估算系统中雷达数据质量控制的更新
DOI：
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发表时间：
2020
影响因子：
2.2
通讯作者：
C. Langston
中科院分区：
文献类型：
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作者：
L. Tang;Jian Zhang;M. Simpson;A. Arthur;H. Grams;Yadong Wang;C. Langston
多雷达多传感器（MRMS）系统于2014年秋季在国家环境预测中心投入运行。它为气象、水文和航空应用提供高质量和高分辨率的恶劣天气和降水产品。在各处理模块中，雷达数据质量控制（QC）在有效识别和去除各种非水文气象雷达回波以实现精确定量降水估计（QPE）方面起着关键作用。自2014年首次实施以来，雷达QC经历了不断的改进和增强，以确保其在美国大陆和加拿大南部的各个季节和所有地区的稳健性能。这些更新包括：1）改进的熔化层描绘，2）风电场污染的清除，3）由于硬件问题而减少损坏的数据影响，4）减少太阳尖峰，以及5）由于旁瓣效应和异常传播而减少残留的地面/湖泊/海洋杂波。本文概述了自2014年以来MRMS雷达数据质量控制的改进。
The Multi-Radar-Multi-Sensor (MRMS) system was transitioned into operations at the National Centers for Environmental Prediction in the fall of 2014. It provides high-quality and high-resolution severe weather and precipitation products for meteorology, hydrology, and aviation applications. Among processing modules, the radar data quality control (QC) plays a critical role in effectively identifying and removing various nonhydrometeor radar echoes for accurate quantitative precipitation estimation (QPE). Since its initial implementation in 2014, the radar QC has undergone continuous refinements and enhancements to ensure its robust performance across seasons and all regions in the continental United States and southern Canada. These updates include 1) improved melting-layer delineation, 2) clearance of wind farm contamination, 3) mitigation of corrupt data impacts due to hardware issues, 4) mitigation of sun spikes, and 5) mitigation of residual ground/lake/sea clutter due to sidelobe effects and anomalous propagation. This paper provides an overview of the MRMS radar data QC enhancements since 2014.