IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Jan 2024)

Evaluation of SAR-Based Sea State Parameters and Roughness Length Derivation Over the Coastal Seas of the USA

  • Abdalmenem Owda,
  • Andrey Pleskachevsky,
  • Xiaoli Guo Larsen,
  • Merete Badger,
  • Dalibor Cavar,
  • Charlotte Bay Hasager

DOI
https://doi.org/10.1109/JSTARS.2024.3393862
Journal volume & issue
Vol. 17
pp. 9415 – 9428

Abstract

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This article presents comprehensive validation of specific sea state parameters (SSPs) and synthetic aperture radar (SAR)-derived wind speeds (${{u}_{\text{SAR}}}$). The article introduces a novel approach to retrieving roughness length (${{z}_0}$) based on wave steepness, following the retrieval of the short wavelengths necessary to estimate ${{z}_0}$. The SAR onboard the Sentinel-1 (S1) satellite that was used specifically in the interferometric wide swath mode (IW) data. The data were processed using the extended version of CWAVE (CWAVE_EX) algorithm for SSPs and CMOD5 for ${{u}_{\text{SAR}}}$. CWAVE_EX was developed especially for coastal waters; the processing chain includes steps for SAR image denoising and eliminating image artifacts. SAR S-1 data inherently exhibit a substantial azimuthal cutoff length due to the data's high satellite altitude and SAR IW resolution. That complicates the retrieving of short wavelengths prevalent in coastal zones and needed to retrieve ${{z}_0}$. The article focuses on the coastal seas of the USA, benefiting from the presence of an extensive network of ocean buoys for validation purposes. The complete SAR S1 A/B archive from 2014 to 2022 was first processed to retrieve SSPs and ${{u}_{\text{SAR}}}$. The validation for significant wave height (${{H}_s}$), second moment wave period (${{T}_{m2}}$), and ${{u}_{\text{SAR}}}$ was performed using in-situ measurements with about 6000 collocations. ${{H}_s}$ and ${{T}_{m2}}$ were compared against the corresponding parameters from hindcast spectral numerical model data with about 380 000 collocations. The comparisons between the retrieved ${{H}_s}$ and ${{T}_{m2}}$ against the in-situ observations and hindcast wave model data yielded a root mean square error (RMSE) of 0.46–0.50 m and 0.9–1.1 s. The RMSE of ${{u}_{\text{SAR}}}$ against in-situ observation was about 2 m/s with a bias of 0.78 m/s. The estimated ${{z}_0}$ values from satellite-driven wave parameters were highly correlated with the ${{z}_0}$ estimated from the in-situ observations, with an RMSE of 0.04 × 10−3 m and a bias of −0.01 × 10−3 m. The article highlights the possibility of using SAR remote sensing data for global mapping of ${{z}_0}$, including coastal effects of local variability in sea state and wind field gustiness.

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