Significant Wave Height Estimation from Joint CYGNSS DDMA and LES Observations

Area of Science:

• Oceanography
• Remote Sensing
• Satellite Geodesy

Background:

• Significant Wave Height (SWH) is crucial for ocean models, navigation, and transportation.
• Traditional SWH estimation methods lack sufficient spatial and temporal resolution.
• Spaceborne Global Navigation Satellite System reflectometry (GNSS-R) offers potential for high-resolution SWH monitoring.

Purpose of the Study:

• To estimate SWH using CYGNSS GNSS-R data.
• To validate the accuracy of CYGNSS-derived SWH against established datasets.
• To assess the suitability of this method for ocean dynamics research and environmental prediction.

Main Methods:

• Utilized a polynomial function relating CYGNSS Delay-Doppler Map Average (DDMA) and Leading Edge Slope (LES) to ERA5 SWH.
• Validated CYGNSS SWH estimates against ERA-Interim, AVISO, and buoy data.
• Employed statistical metrics including correlation coefficient and Root Mean Square Error (RMSE).

Main Results:

• CYGNSS SWH demonstrated high correlation with ERA-Interim (0.945) and buoy data (0.907).
• RMSE values were 0.257 m (vs. ERA-Interim) and 0.247 m (vs. buoy data).
• Good agreement was also observed with AVISO data (correlation 0.849, RMSE 0.423 m).

Conclusions:

• The CYGNSS GNSS-R method provides accurate and high-resolution SWH estimations.
• This technique enhances capabilities for ocean dynamics research and prediction.
• The findings support the use of CYGNSS for advanced oceanographic monitoring.