...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of hydrometeorology >Rainfall Estimation with an Operational Polarimetric C-Band Radar in the United Kingdom: Comparison with a Gauge Network and Error Analysis
【24h】

Rainfall Estimation with an Operational Polarimetric C-Band Radar in the United Kingdom: Comparison with a Gauge Network and Error Analysis

机译：使用操作性极化C波段雷达在英国进行降雨估算：与仪表网络的比较和误差分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The estimate of rainfall using data from an operational dual-polarized C-band radar in convective storms in southeast United Kingdom is compared against a network of gauges. Four different rainfall estimators are considered: reflectivity–rain-rate (Z–R) relation, with and without correcting for rain attenuation; a composite estimator, based on (i) Z–R, (ii) R(Z, Z_(dr)), and (iii) R(K_(dp)); and exclusively R(K_(dp)). The various radar rain-rate estimators are developed using Joss disdrometer data from Chilbolton, United Kingdom. Hourly accumulations over radar pixels centered on the gauge locations are compared, with approximately 2500 samples available for gauge hourly accumulations . 0.2 mm. Overall, the composite estimator performed the ‘‘best’’ based on robust statistical measures such as mean absolute error, the Nash–Sutcliffe coefficient, and mean bias, at all rainfall thresholds (.0.2, 1, 3, or 6 mm) with improving measures at the higher thresholds of .3 and .6 mm (higher rain rates). Error variance separation is carried out by estimating the gauge representativeness error using 4 yr of gauge data from the Hydrological Radar Experiment. The proportion of variance of the radar-to-gauge differences that could be explained by the gauge representativeness errors ranged from 20% to 55% (for the composite rain-rate estimator). The radar error is found to decrease from approximately 70% at the lower rain rates to 20% at the higher rain rates. The composite rainrate estimator performed as well as can be expected from error variance analysis, at mean hourly rain rates of about 5 mm h~(-1) or larger with mean bias of ;10% (underestimate).
机译：使用来自英国东南部对流风暴的双极化C波段可操作雷达的数据估算雨量，并与量规网络进行比较。考虑了四种不同的降雨估算器：反射率与降雨率（Z–R）关系，有或没有校正降雨衰减;基于（i）Z–R，（ii）R（Z，Z_（dr））和（iii）R（K_（dp））的复合估计器;且仅是R（K_（dp））。各种雷达降雨率估算器是使用来自英国奇尔伯顿的乔斯测速计数据开发的。比较了以标尺位置为中心的雷达像素上的每小时累积量，并获得了约2500个可用于标量小时累积量的样本。 0.2毫米总体而言，在所有降雨阈值（.0.2、1、3或6 mm）上，综合估算器均基于稳健的统计指标（例如平均绝对误差，纳什-萨克利夫系数和平均偏差）在最佳降雨条件下表现最佳。在.3和.6 mm的较高阈值（较高的降雨率）下改进措施。通过使用来自水文雷达实验的4年仪表数据估算仪表代表误差来进行误差方差分离。雷达表距差异的方差比例可以用量表的代表性误差来解释，范围从20％到55％（对于复合降雨率估算器）。发现雷达误差从较低降雨率下的大约70％降低到较高降雨率下的20％。复合降雨率估算器的性能与误差方差分析所期望的一样，可以在平均每小时降雨率约为5 mm h〜（-1）或更大的情况下进行，平均偏差为; 10％（低估）。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号