A Novel Method for Ocean Wave Spectra Retrieval Using Deep Learning From Sentinel-1 Wave Mode Data

Cao, Chenghui; Bao, Liwei; Gao, Gui; Liu, Genwang; Zhang, Xi

doi:10.1109/tgrs.2024.3369080

IEEE Trans. Geosci. Remote Sensing

2024

DOI: 10.1109/tgrs.2024.3369080

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A Novel Method for Ocean Wave Spectra Retrieval Using Deep Learning From Sentinel-1 Wave Mode Data

Chenghui Cao,

Liwei Bao,

Gui Gao

et al.

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2024

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NRCS Recalibration and Wind Speed Retrieval for SWOT KaRIn Radar Data

Ren,

Dong,

Cui

et al. 2024

Remote Sensing

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In this study, wind speed sensitivity and calibration bias were first determined for Surface Water and Ocean Topography (SWOT) satellite Ka-band Radar Interferometer (KaRIn) Normalized Radar Backscatter Cross Section (NRCS) data at VV and HH polarizations. Here, the calibration bias was estimated by comparing the KaRIn NRCS with collocated simulations from a model developed using Global Precipitation Measurement (GPM) satellite Dual-frequency Precipitation Radar (DPR) data. To recalibrate the bias, the correlation coefficient between the KaRIn data and the simulations was estimated, and the data with the corresponding top 10% correlation coefficients were used to estimate the recalibration coefficients. After recalibration, a Ka-band NRCS model was developed from the KaRIn data to retrieve ocean surface wind speeds. Finally, wind speed retrievals were evaluated using the collocated European Center for Medium-Range Weather Forecasts (ECMWF) reanalysis winds, Haiyang-2C scatterometer (HY2C-SCAT) winds and National Data Buoy Center (NDBC) and Tropical Atmosphere Ocean (TAO) buoy winds. Evaluation results show that the Root Mean Square Error (RMSE) at both polarizations is less than 1.52 m/s, 1.34 m/s and 1.57 m/s, respectively, when compared to ECMWF, HY2C-SCAT and buoy collocated winds. Moreover, both the bias and RMSE were constant with the incidence angles and polarizations. This indicates that the winds from the SWOT KaRIn data are capable of correcting the sea state bias for sea surface height products.

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NRCS Recalibration and Wind Speed Retrieval for SWOT KaRIn Radar Data

Ren,

Dong,

Cui

et al. 2024

Remote Sensing

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A Novel Method for Ocean Wave Spectra Retrieval Using Deep Learning From Sentinel-1 Wave Mode Data

Cited by 1 publication

References 35 publications

NRCS Recalibration and Wind Speed Retrieval for SWOT KaRIn Radar Data

NRCS Recalibration and Wind Speed Retrieval for SWOT KaRIn Radar Data

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