Results 71 to 80 of about 158 (117)

CFOSAT SWIM wave data for GRL publication

, 2020
The archive file includes the 6-hourly quality controlled SWIM wave spectra and file of data from SWIM-nadir. Each file SWI_date is in ascii format with header line with date, longitude, latitude, signal parameters. each header line is followed by a matrix values (30 lines for frequencies by 24 columns for directions) which gives the wave spectrum ...
openaire   +2 more sources

Multi-Source Satellite Altimetry for Monitoring Storm Wave Footprints in the English Channel’s Coastal Areas

Remote Sensing
Climate wave data, derived from significant wave height (SWH) altimetry, provide accurate information towards nearshore and coastal areas. Their use is crucial to enhance our capabilities of observing, understanding, and forecasting storm waves, even in ...
Emma Imen Turki, Edward Salameh, Carlos Lopez Solano, Md Saiful Islam, Mateo Domingues, Lotfi Aouf, David Gutierrez, Aurélien Carbonnière, Fréderic Frappart   +8 more
doaj   +1 more source

Suppression of Parasitic Peaks on CFOSAT SWIM Wave Spectra Based on a Specific Parametric Method

Remote Sensing
Parasitic peaks are observed in the low wavenumber regions of Surface Waves Investigation and Monitoring (SWIM) wave height spectra. They can be attributed to random fluctuations in the wave spectra caused mainly by speckle noise, compromising the ...
Jingwei Gu, Bosen Jiang, Xiuzhong Li, Yijun He, Baochang Liu, Shuyan Lang   +5 more
doaj   +1 more source

CFOSAT散射计海面后向散射系数误差及影响

Kongjian kexue xuebao
仪器噪声(Kpc)和地球物理噪声(Kpg)是影响星载微波散射计后向散射系数(σ0)测量精度以及海面风场反演精度的关键因素. 针对中法海洋卫星(CFOSAT)散射计(CSCAT), 详细分析了Kpc和Kpg随海面风速、入射角、风单元网格分辨率以及离岸距离等因素变化的特征. 结果表明, 低风速条件下海面风场变异性较大, Kpg为σ0测量误差的主导因素, 而且风单元网格越大、海面风场的不均匀性越强, Kpg也就越大, 而在高风速条件下, 海面风场变异性较小, Kpc与Kpg贡献相当.
董 楹, 林 文明
doaj   +1 more source

High-resolution mapping of significant wave heights in the Northeast Pacific and Northwest Atlantic using improved multi-source satellite altimetry fusion method

Frontiers in Marine Science
Significant wave height (SWH) is an important parameter to reflect wave state, which is of great significance in ocean engineering. However, the current wave observation methods have limitations in capturing wave field data with high spatial resolution ...
Hongbin Yang, Bingchen Liang, Bingchen Liang, Huijun Gao, Zhuxiao Shao   +4 more
doaj   +1 more source

SAR-Oriented and Physics-Guided Ocean Wave Spectrum Retrieval

Remote Sensing
Accurate retrieval of ocean wave spectra from Synthetic Aperture Radar (SAR) images is important for understanding wave energy distribution and supporting large-scale ocean-wave monitoring.
Yunxiao Li, Qi Wen, Xiu Zhu, Yuxin Liu, Lei Huang, Weifu Sun, Hao Zhang   +6 more
doaj   +1 more source

Wavelength Cut-Off Error of Spectral Density from MTF3 of SWIM Instrument Onboard CFOSAT: An Investigation from Buoy Data

Remote Sensing
The Surface Waves Investigation and Monitoring instrument (SWIM) provides the directional wave spectrum within the wavelength range of 23–500 m, corresponding to a frequency range of 0.056–0.26 Hz in deep water.
Yuexin Luo, Ying Xu, Hao Qin, Haoyu Jiang   +3 more
doaj   +1 more source

GLORI: A GNSS-R Dual Polarization Airborne Instrument for Land Surface Monitoring. [PDF]

Sensors (Basel), 2016
Motte E, Zribi M, Fanise P, Egido A, Darrozes J, Al-Yaari A, Baghdadi N, Baup F, Dayau S, Fieuzal R, Frison PL, Guyon D, Wigneron JP.   +12 more
europepmc   +1 more source

Orbit Performances Validation for CFOSAT Scatterometer

Chinese Journal of Space Science, 2020
Xiaolong DONG, Di ZHU, Wenming LIN, Kuo ZHANG, Risheng YUN, Jianqiang LIU, Shuyan LANG, Zhenyu DING, Jianying MA, Xingou XU   +9 more
openaire   +1 more source

Assessment of the CFOSAT scatterometer backscatter and wind quality

, 2019
Peer ...
Lin, Wenming, Wang, Zhixiong, He, Yijun, Dong, Xiao-long, Yun, Risheng, Xu, Xing-ou, Zhu, Di, Portabella, Marcos, Lang, Shuyan, Liu, Jianqiang   +9 more
openaire   +1 more source