Estimation of reflectivity-rainfall relationship parameters and uncertainty assessment for high resolution rainfall information

Tae-Jeong Kim
{"title":"Estimation of reflectivity-rainfall relationship parameters and uncertainty assessment for high resolution rainfall information","authors":"Tae-Jeong Kim","doi":"10.3741/JKWRA.2021.54.5.321","DOIUrl":null,"url":null,"abstract":"A fixed reflectivity-rainfall relationship approach, such as the Marshall-Palmer relationship, for an entire year and different seasons, can be problematic in cases where the relationship varies spatially and temporally throughout a region. From this perspective, this study explores the use of long-term radar reflectivity for South Korea to obtain a nationwide calibrated Z-R relationship and the associated uncertainties within a Bayesian inference framework. A calibrated spatially structured pattern in the parameters exists, particularly for the wet season and parameter for the dry season. A pronounced region of high values during the wet and dry seasons may be partially associated with storm movements in that season. Overall, the radar rainfall fields based on the proposed modeling procedure are similar to the observed rainfall fields. In contrast, the radar rainfall fields obtained from the existing Marshall-Palmer relationship show a systematic underestimation. In the event of high impact weather, it is expected that the value of national radar resources can be improved by establishing an active watershed-level hydrological analysis system.","PeriodicalId":224359,"journal":{"name":"Journal of Korea Water Resources Association","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Korea Water Resources Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3741/JKWRA.2021.54.5.321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A fixed reflectivity-rainfall relationship approach, such as the Marshall-Palmer relationship, for an entire year and different seasons, can be problematic in cases where the relationship varies spatially and temporally throughout a region. From this perspective, this study explores the use of long-term radar reflectivity for South Korea to obtain a nationwide calibrated Z-R relationship and the associated uncertainties within a Bayesian inference framework. A calibrated spatially structured pattern in the parameters exists, particularly for the wet season and parameter for the dry season. A pronounced region of high values during the wet and dry seasons may be partially associated with storm movements in that season. Overall, the radar rainfall fields based on the proposed modeling procedure are similar to the observed rainfall fields. In contrast, the radar rainfall fields obtained from the existing Marshall-Palmer relationship show a systematic underestimation. In the event of high impact weather, it is expected that the value of national radar resources can be improved by establishing an active watershed-level hydrological analysis system.
高分辨率降雨信息反射率-降雨关系参数估算及不确定性评估
固定的反射率-降雨关系方法,如马歇尔-帕尔默关系,适用于全年和不同季节,在关系在空间和时间上在整个地区变化的情况下可能会有问题。从这个角度来看,本研究探讨了韩国长期雷达反射率的使用,以获得全国校准的Z-R关系以及贝叶斯推断框架内的相关不确定性。在参数中存在一种校准的空间结构模式,特别是在雨季和旱季参数中。在干湿季节显著的高值区域可能部分与该季节的风暴运动有关。总体而言,基于所提出的模拟程序的雷达降雨场与观测的降雨场相似。相比之下,从现有Marshall-Palmer关系获得的雷达降雨场显示出系统性的低估。在高影响天气的情况下,通过建立主动的流域水文分析系统,有望提高国家雷达资源的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
0.80
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信