The Wide Swath Significant Wave Height: An Innovative Reconstruction of Significant Wave Heights From CFOSAT’s SWIM and Scatterometer Using Deep Learning
Author:
Affiliation:
1. National Marine Environmental Forecasting Center Beijing China
2. Météo‐France, DIROP‐CNRM Toulouse France
3. National Satellite Ocean Application Service Beijing China
4. LATMOS/IPSL Guyancourt France
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Geophysics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020GL091276
Reference38 articles.
1. SARAL/AltiKa Wind and Wave Products: Monitoring, Validation and Assimilation
2. Jason-2 OGDR Wind and Wave Products: Monitoring, Validation and Assimilation
3. Aouf L. Dalphinet A. Hauser D. Delaye L. Tison C. Chapron B. et al. (2019).On The assimilation of CFOSAT wave data in the wave model MFWAM: Verification phase.IGARSS 2019‐2019 IEEE international geoscience and remote sensing symposium(pp.7959–7961).IEEE.
4. On the Impact of the Assimilation of SARAL/AltiKa Wave Data in the Operational Wave Model MFWAM
5. Assimilation of Directional Wave Spectra in the Wave Model WAM: An Impact Study from Synthetic Observations in Preparation for the SWIMSAT Satellite Mission
Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Applications of deep learning in physical oceanography: a comprehensive review;Frontiers in Marine Science;2024-07-15
2. Significant Wave Height Forecasting Based on EMD-TimesNet Networks;Journal of Marine Science and Engineering;2024-03-24
3. An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction;Applied Soft Computing;2023-10
4. Validation of Surface Waves Investigation and Monitoring Data against Simulation by Simulating Waves Nearshore and Wave Retrieval from Gaofen-3 Synthetic Aperture Radar Image;Remote Sensing;2023-09-07
5. DNN‐Based Retrieval of Arctic Sea Ice Concentration From GNSS‐R and Its Effects on the Synoptic‐Scale Forecasting as Supplementary Observation Source;Geophysical Research Letters;2023-07-18
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3