Results 61 to 70 of about 158 (117)
Abstract Satellite altimeters are the most common source of wave measurement in phenomenal sea states, with significant wave heights exceeding 14 m. Unfortunately their data is still considered with skepticism, because there is usually no other data to verify the accuracy of the largest values.
Marine De Carlo, Fabrice Ardhuin
wiley +1 more source
Abstract Global sea wave monitoring is of utmost importance for tasks such as analysis of ocean climate change, offshore fisheries, and early warning of marine disasters. Significant wave height (SWH) is one of the most vital and widely used metrics for measuring sea waves in marine research.
Yuchao Yang +5 more
wiley +1 more source
Estimation and Analysis of Stokes Drift Based on CFOSAT Wave Spectrum Data
Stokes drift is the net displacement of ocean surface water particles caused by nonlinear surface waves. Its estimation typically relies on sea surface wave spectra, and truncation of the high-frequency spectral tail can significantly affect accuracy ...
Xinru Duan, Jinbao Song
doaj +1 more source
An Ensemble Machine Learning Approach for Sea Ice Monitoring Using CFOSAT/SCAT Data
Sea ice is a crucial component of the global climate system. The China–French Ocean Satellite Scatterometer (CFOSAT/SCAT, CSCAT) employs an innovative rotating fan beam system.
Yanping Luo +3 more
doaj +1 more source
Analysis of Onboard Verification Flight Test for the Salinity Satellite Scatterometer. [PDF]
Liu Y +7 more
europepmc +1 more source
Role of Atmospheric Indices in Describing Inshore Directional Wave Climate in the United Kingdom and Ireland. [PDF]
Scott T +7 more
europepmc +1 more source
A dataset of direct observations of sea ice drift and waves in ice. [PDF]
Rabault J +27 more
europepmc +1 more source
A Novel Rain Identification and Rain Intensity Classification Method for the CFOSAT Scatterometer
The China–France oceanography satellite scatterometer (CSCAT) is a rotating fan-beam scanning observation scatterometer operating in the Ku-band, and its product quality is affected by rain contamination. The multiple azimuthal NRCS measurements provided
Meixuan Quan, Jie Zhang, Rui Zhang
doaj +1 more source
Deep Learning for Typhoon Wave Height and Spectra Simulation
Typhoon-induced waves significantly threaten marine transportation and safety, often leading to catastrophic marine disasters. Accurate wave simulations are vital for effective disaster prevention.
Chunxiao Wang +3 more
doaj +1 more source

