Ocean wind speed
Ocean wind speed is derived through inversion of the sea surface signal reflectance power spectrum.This approach addresses the issue of traditional ocean wind data collection, which relies entirely on instruments deployed on buoys and traveling ships, resulting in extremely insufficient coverage.
Next-generation intelligent ocean wind data
We use high-quality ocean wind data, combined with advanced technologies such as Machine Learning and AI, to launch a new generation of intelligent ocean wind data products. These products provide critical support for maritime activities and contribute significantly to humanity's efforts to fully conquer the oceans.
Application
text-iconOcean Navigation
Ocean wind data helps optimize voyage, avoid adverse weather, and guide emergency decisions during navigation. This reduces energy consumption and enhances the safety of ocean voyages.
text-iconSea Operations
Accurate ocean speed data plays a vital role in optimizing operational plans and avoiding high-risk activities in adverse weather conditions. By monitoring sea surface changes, it enables early prediction of storms or strong winds, ensuring timely implementation of necessary precautionary measures.
text-iconRenewable Energy
During the construction phase, wind data helps determine the optimal installation window for wind turbines, reducing construction risks. In the operational phase, it enables more accurate power generation forecasts and optimizes energy output strategies.
text-iconPollutant Source Tracking
With precise sea wind data, the diffusion path of pollutants on the sea surface can be traced, helping to identify their source and predict their movement direction. This improves the efficiency of pollution event response and provides critical data for scientifically devising control measures to reduce the spread of contamination.
Data Sheets
L2Ocean Wind Speed
ContentsThe product provides measurement time, location, retrieved wind speed, a quality flag indicating the reliability of the wind speed, and the original measurements used in the retrieval process.
File NamingLEOX_GNOSR_YYYYMMDD_hhmmss_UUUUU_L2_SWS_COMB.HDF
File FormatHDF
Technical Specifications
Spatial Resolution: 25KM
Accuracy of Ocean Wind Speed: <2 m/s (for wind speeds less than 20 m/s)
Daily data growth from a single satelliteAbout 55MB
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Quality Assessment Results
Sea surface wind speed distribution
Indicator Requirements: The wind speed distribution ranges from 0 to 25 m/s.
Test Method: Analysis of the distribution of reflected L2 wind speeds derived from three days of business data.
Test conditions:
1) Data source: April 10th to 13th, 2023.
2) Test Results:
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3) Test Conclusion: The ocean wind speed distribution of Tianmu 01/02 satellites meets the test requirements.
Accuracy assessment of ocean wind speed products
Indicator Requirements: Root mean square error (RMSE)<2 m/s.
Test Method: Compare the operational ocean wind speed product with the ECMWF reanalysis field wind speed and quantify the difference using root mean square error.
Test conditions:
1) Data source: February 2nd to 18th, 2023.
2) Test Results:
TM01:
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TM02:
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3) Test Conclusion: The ocean wind speed product for Tianmu01-02 satellites have demonstrated excellent accuracy, with an RMSE of less than 2 m/s, fulfilling the performance requirements.
L1GNSS L1 reflection data
ContentsThe primary content of the product includes: time and location of GNSS reflection events, ID of the reflected GNSS satellite, position and velocity of both the reflected GNSS satellite and the TM satellite, normalized radar cross section at the specular reflection point, and LES (Likely Error Statistics).
File Naming
LEOX_GNOSR_YYYYMMDD_hhmmss_UUUUU_L1_C1.HDF
...
LEOX_GNOSR_YYYYMMDD_hhmmss_UUUUU_L1_C8.HDF
Channels 1-2 are used for GPS signal reception, channels 3-5 for BDS, channels 6-7 for GALILEO, and channel 8 for GLONASS.
File FormatHDF
Daily data growth from a single satelliteAbout 4GB
L0Raw payload data packet
ContentsRaw observation data of the payload, including low-speed and high-speed packet data.
File Naming
LEOX_GNOSR_L0_YYYYMMDD_hhmmss_UUUUU_LOW.DAT(Duration: 1h)
LEOX_GNOSR_L0_YYYYMMDD_hhmmss_UUUUU_HIG.DAT(Duration: 1h)
File FormatBIN
Daily data growth from a single satelliteAbout 2GB