Quality analysis of water level series obtained by altimetric radar satellite along the São Francisco River

IF 0.9 Q4 WATER RESOURCES
Luana Kessia Lucas Alves Martins, P. Maillard, E. Pinto, D. Moreira
{"title":"Quality analysis of water level series obtained by altimetric radar satellite along the São Francisco River","authors":"Luana Kessia Lucas Alves Martins, P. Maillard, E. Pinto, D. Moreira","doi":"10.1590/2318-0331.262120210069","DOIUrl":null,"url":null,"abstract":"ABSTRACT Radar altimeters are instruments carried on space missions and allow for determination of heights, particularly in oceans and ice sheets. The use of altimetry data on continental waters involves several challenges, such as the revisit frequency (typically 27 to 35 days), an accuracy of decimeters, data handling and processing, particularly for narrow rivers such as the São Francisco River (width<1km). Radar satellite altimetry has advantages over the conventional in situ monitoring network, including in terms of spatial coverage and global altimetric reference of data. Thus, altimetry data should be used as a complementary and/or alternative source to in situ data. In this context, this study consolidates and evaluates the altimetric series of five different altimetry missions: Envisat in two orbits, Saral, Sentinel 3-A, and Sentinel 3-B. The altimetry water level time series of 17 Virtual stations were compared with leveled gauging stations series to calculate absolute and relative errors. Ultimately, the errors varied from 0.13 m to 0.36 m in the best cases (41%), in line with recent literature. Sentinel-3 satellites showed the best RMSE absolute/relative results: 0.95/0.49 m (S-3A) and 0.96/0.52 m (S-3B). The second best RMSEs was Envisat-X (1.39/0.50 m), then Envisat (1.87/0.56 m) and Saral (1.74/0.60 m).","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":"40 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"RBRH-Revista Brasileira de Recursos Hidricos","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/2318-0331.262120210069","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0

Abstract

ABSTRACT Radar altimeters are instruments carried on space missions and allow for determination of heights, particularly in oceans and ice sheets. The use of altimetry data on continental waters involves several challenges, such as the revisit frequency (typically 27 to 35 days), an accuracy of decimeters, data handling and processing, particularly for narrow rivers such as the São Francisco River (width<1km). Radar satellite altimetry has advantages over the conventional in situ monitoring network, including in terms of spatial coverage and global altimetric reference of data. Thus, altimetry data should be used as a complementary and/or alternative source to in situ data. In this context, this study consolidates and evaluates the altimetric series of five different altimetry missions: Envisat in two orbits, Saral, Sentinel 3-A, and Sentinel 3-B. The altimetry water level time series of 17 Virtual stations were compared with leveled gauging stations series to calculate absolute and relative errors. Ultimately, the errors varied from 0.13 m to 0.36 m in the best cases (41%), in line with recent literature. Sentinel-3 satellites showed the best RMSE absolute/relative results: 0.95/0.49 m (S-3A) and 0.96/0.52 m (S-3B). The second best RMSEs was Envisat-X (1.39/0.50 m), then Envisat (1.87/0.56 m) and Saral (1.74/0.60 m).
奥弗朗西斯科河沿岸测高雷达卫星获取的水位序列质量分析
雷达高度计是在太空任务中携带的仪器,用于测量高度,特别是在海洋和冰盖上。在大陆水域使用测高数据涉及几个挑战,例如重访频率(通常为27至35天)、分米精度、数据处理和处理,特别是对于狭窄的河流,如奥弗朗西斯科河(宽度<1公里)。雷达卫星测高在空间覆盖和全球测高数据参考等方面优于传统的原位监测网。因此,应将测高数据用作实地数据的补充和/或替代来源。在此背景下,本研究整合并评估了五个不同测高任务的测高系列:Envisat在两个轨道上,Saral, Sentinel 3-A和Sentinel 3-B。将17个虚拟站的高程水位时间序列与水准测量站序列进行比较,计算绝对误差和相对误差。最终,在最好的情况下,误差从0.13 m到0.36 m不等(41%),与最近的文献一致。Sentinel-3卫星的RMSE绝对/相对结果最佳,分别为0.95/0.49 m (S-3A)和0.96/0.52 m (S-3B)。第二好的均方根误差是Envisat- x (1.39/0.50 m),然后是Envisat (1.87/0.56 m)和Saral (1.74/0.60 m)。
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
1.60
自引率
12.50%
发文量
18
审稿时长
16 weeks
×
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