On the Assimilation of CFOSAT Wave Data in the Wave Model MFWAM : Verification Phase

L. Aouf, A. Dalphinet, D. Hauser, L. Delaye, C. Tison, B. Chapron, Laura Hermozo, C. Tourain
{"title":"On the Assimilation of CFOSAT Wave Data in the Wave Model MFWAM : Verification Phase","authors":"L. Aouf, A. Dalphinet, D. Hauser, L. Delaye, C. Tison, B. Chapron, Laura Hermozo, C. Tourain","doi":"10.1109/IGARSS.2019.8900180","DOIUrl":null,"url":null,"abstract":"The China-France Oceangraphy SATellite (CFOSAT) is an innovative satellite mission with wind and waves measurements on oceans. This paper aims to evaluate the first results of the assimilation of the wave data provided by CFOSAT in the wave model MFWAM. Model runs are implemented during the Calibration/Validation phase of the mission. The results are compared to the wave data from altimeters and buoys. The first results are promising and indicate a significant improvement of wave heights in the different ocean basins (high latitudes, intermediate latitudes and the tropics). Azimuthal cut-off sensitivity tests for the SWIM wave spectra are also examined in this study. We also discussed the impact of combined wave spectra and the ones from the incidence angles of SWIM (6, 8 and 10°). In other respects this study also investigate the complementary use of SWIM and SAR from CFOSAT and SAR from Sentinel-1 for combined assimilation in the wave model MFWAM","PeriodicalId":13262,"journal":{"name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","volume":"92 1","pages":"7959-7961"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2019.8900180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

The China-France Oceangraphy SATellite (CFOSAT) is an innovative satellite mission with wind and waves measurements on oceans. This paper aims to evaluate the first results of the assimilation of the wave data provided by CFOSAT in the wave model MFWAM. Model runs are implemented during the Calibration/Validation phase of the mission. The results are compared to the wave data from altimeters and buoys. The first results are promising and indicate a significant improvement of wave heights in the different ocean basins (high latitudes, intermediate latitudes and the tropics). Azimuthal cut-off sensitivity tests for the SWIM wave spectra are also examined in this study. We also discussed the impact of combined wave spectra and the ones from the incidence angles of SWIM (6, 8 and 10°). In other respects this study also investigate the complementary use of SWIM and SAR from CFOSAT and SAR from Sentinel-1 for combined assimilation in the wave model MFWAM
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
波浪模型MFWAM中CFOSAT波浪数据的同化:验证阶段
中法海洋卫星(CFOSAT)是一项创新的海洋风浪测量卫星任务。本文旨在评价CFOSAT提供的波浪资料在波浪模型MFWAM中同化的初步结果。模型运行在任务的校准/验证阶段进行。结果与高度计和浮标的波浪数据进行了比较。第一个结果是有希望的,表明在不同的海洋盆地(高纬度、中纬度和热带)波浪高度有了显著的改善。本研究还研究了SWIM波谱的方位截止灵敏度测试。我们还讨论了组合波谱和SWIM入射角(6°、8°和10°)的影响。在其他方面,本研究还探讨了在波浪模型MFWAM中,使用SWIM和CFOSAT的SAR以及Sentinel-1的SAR进行联合同化的补充
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Visual Question Answering From Remote Sensing Images The Impact of Additive Noise on Polarimetric Radarsat-2 Data Covering Oil Slicks Edge-Convolution Point Net for Semantic Segmentation of Large-Scale Point Clouds Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data The Truth About Ground Truth: Label Noise in Human-Generated Reference Data
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1