Inversion and assessment of swell waveheights from HF radar spectra in the Iroise Sea-Reference-Cited by-同舟云学术

Inversion and assessment of swell waveheights from HF radar spectra in the Iroise Sea

Published:2016-03-05 Issue:4 Volume:66 Page:527-538
ISSN:1616-7341
Container-title:Ocean Dynamics
language:en
Short-container-title:Ocean Dynamics

Author:

Wang Weili,Forget Philippe,Guan Changlong

Publisher

Springer Science and Business Media LLC

Subject

Oceanography

Link

http://link.springer.com/content/pdf/10.1007/s10236-016-0941-3.pdf

Reference32 articles.

1. Ardhuin F, Chapron B, Collard F (2009) Observation of swell dissipation across oceans. Geophys Res Lett 36:L06607. doi: 10.1029/2008GL037030

2. Ardhuin F, Rogers E, Babanin AV et al (2010) Semi-empirical dissipation source functions for wind-wave models: part I, definition, calibration and validation. J Phys Oceanogr 40:1917–1941. doi: 10.1175/2010JPO4324.1

3. Barrick DE (1972a) First-order theory and analysis of MF/HF/VHF scatter from the sea. IEEE Trans Antennas Propag 20:2–10

4. Barrick DE (1972b) Remote sensing of sea state by radar. In: Derr VE (ed) Remote sensing of the troposphere. US Government Printing Office, Washington

5. Barrick DE (1977) Extraction of wave parameters from measured HF radar sea-echo Doppler spectra. Radio Sci 12(3):415–424

Cited by 10 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. An Algorithm to Retrieve Range Ocean Current Speed under Tropical Cyclone Conditions from Sentinel-1 Synthetic Aperture Radar Measurements Based on XGBoost;Remote Sensing;2024-09-03

2. Estimating sea surface swell height using a hybrid model combining CNN, ConvLSTM, and FCN based on spaceborne GNSS-R data from the CYGNSS mission;GPS Solutions;2024-05-28

3. A Technique for SAR Significant Wave Height Retrieval Using Azimuthal Cut-Off Wavelength Based on Machine Learning;Remote Sensing;2024-05-05

4. Ocean Remote Sensing Using Spaceborne GNSS-Reflectometry: A Review;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

5. Estimation of Swell Height Using Spaceborne GNSS-R Data from Eight CYGNSS Satellites;Remote Sensing;2022-09-16