Results 11 to 20 of about 158 (117)

Sea Ice Monitoring with CFOSAT Scatterometer Measurements Using Random Forest Classifier [PDF]

open access: yesRemote Sensing, 2021
The Ku-band scatterometer called CSCAT onboard the Chinese–French Oceanography Satellite (CFOSAT) is the first spaceborne rotating fan-beam scatterometer (RFSCAT).
Xiaochun Zhai   +6 more
doaj   +11 more sources

Long Term Assimilation of Directional Wave Data From CFOSAT in the Wave Prediction Model MFWAM

open access: yesEarth and Space Science
Recently, satellite wave observations have stepped forward with the innovative measurements from the wave scatterometer SWIM of the CFOSAT mission which provides both the significant wave height (SWH) along‐track at nadir look and the directional wave ...
E. Bedossa   +5 more
doaj   +2 more sources

Classification of Arctic Sea Ice Type in CFOSAT Scatterometer Measurements Using a Random Forest Classifier

open access: yesRemote Sensing, 2023
The Ku-band scatterometer called CSCAT onboard the Chinese–French Oceanography Satellite (CFOSAT) is the first spaceborne rotating fan-beam scatterometer (RFSCAT). A new algorithm for classification of Arctic sea ice types on CSCAT measurement data using
Xiaochun Zhai, Lin Chen, Lin Tian
exaly   +3 more sources

A Multi‐Sensor Approach for the Characterization of Tropical Cyclone Induced Swell—Application to TC Larry, 2021

open access: yesGeophysical Research Letters
Sea states are likely highly complex and variable under tropical cyclone (TC) conditions. Outrunning the inner core TC vortex, swell systems can radiate in different directions with different wavelengths.
Clément Pouplin   +2 more
doaj   +2 more sources

Calibration of CFOSAT Off‐Nadir SWIM SWH Product Based on CNN‐LSTM Model

open access: yesEarth and Space Science
High‐precision observation of significant wave height (SWH) is crucial for marine research. The Surface Waves Investigation and Monitoring (SWIM) aboard the China France Oceanography Satellite (CFOSAT) provides the ocean wave spectrum that allows for the
Rui Zhang   +6 more
doaj   +2 more sources

The Assimilation of CFOSAT Wave Heights Using Statistical Background Errors

open access: yesRemote Sensing
This paper discusses the assimilation of significant wave height (Hs) observations from the China France Oceanography SATellite (CFOSAT) into the Global Deterministic Wave Prediction System developed by Environment and Climate Change Canada.
Leqiang Sun, Lotfi Aouf
exaly   +3 more sources

Preliminary Results of the CFOSAT Scatterometer [PDF]

open access: yesIGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
The scatterometer (SCAT) onboard the China-France Oceanography Satellite (CFOSAT) is the first rotating fan-beam scatterometer (RFSCAT) in space for global ocean surface vector wind measurement. After the CFOSAT launched in Oct. 29, 2018, the main performances of the CFOSAT scatterometer (CFOSCAT) are being tested in orbit.
Xiaolong Dong   +5 more
  +11 more sources

Validation of the Ocean Wave Spectrum from the Remote Sensing Data of the Chinese–French Oceanography Satellite

open access: yesRemote Sensing, 2023
Since the launch of CFOSAT on 29 October 2018, more than three years of observational data of ocean wave spectra with a frequency range of 0.02–0.26 Hz and a horizontal resolution of 70–90 km have been obtained. This study compares wave spectra retrieved
Songlin Li   +5 more
doaj   +1 more source

Evolutions and Improvements in CFOSAT SWIM Products [PDF]

open access: yes2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
The Chinese-French oceanography satellite, CFOSAT, was launched on October 2018. Two Ku-band scatterometers are on-board: SCAT for the wind observation and SWIM for the wave observation. After a first phase mainly dedicated to validation and identification of improvement possibilities, the ground processing and products generated were upgraded.
Tourain, C.   +10 more
openaire   +2 more sources

Evaluation of HY-2C and CFOSAT Satellite Retrieval Offshore Wind Energy Using Weather Research and Forecasting (WRF) Simulations

open access: yesRemote Sensing, 2023
This study simulated the spatial distribution of wind speeds and wind energy density by using the WRF model, and we used the WRF-simulated results to evaluate the sea surface wind speeds retrieved from the HY-2C and CFOSAT satellite-borne microwave ...
Zheng Li   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy