Publication details.

Paper

Year:2018
Author(s):L. Gómez-Navarro, R. Fablet, E. Mason, A. Pascual, B. Mourre, E. Cosme, J. Le Sommer
Title:SWOT Spatial Scales in the Western Mediterranean Sea Derived from Pseudo-Observations and an Ad Hoc Filtering
Journal:Remote Sensing
ISSN:2072-4292
Volume:10
Issue No.:4
Pages:599
D.O.I.:10.3390/rs10040599
Web:http://www.mdpi.com/2072-4292/10/4/599/html
Abstract:The aim of this study is to assess the capacity of the Surface Water Ocean Topography (SWOT) satellite to resolve fine scale oceanic surface features in the western Mediterranean. Using as input the Sea Surface Height (SSH) fields from a high-resolution Ocean General Circulation Model (OGCM), the SWOT Simulator for Ocean Science generates SWOT-like outputs along a swath and the nadir following the orbit ground tracks. Given the characteristic temporal and spatial scales of fine scale features in the region, we examine temporal and spatial resolution of the SWOT outputs by comparing them with the original model data which are interpolated onto the SWOT grid. To further assess the satellite’s performance, we derive the absolute geostrophic velocity and relative vorticity. We find that instrument noise and geophysical error mask the whole signal of the pseudo-SWOT derived dynamical variables. We therefore address the impact of removal of satellite noise from the pseudo-SWOT data using a Laplacian diffusion filter, and then focus on the spatial scales that are resolved within a swath after this filtering. To investigate sensitivity to different filtering parameters, we calculate spatial spectra and root mean square errors. Our numerical experiments show that noise patterns dominate the spectral content of the pseudo-SWOT fields at wavelengths below 60 km. Application of the Laplacian diffusion filter allows recovery of the spectral signature within a swath down to the 40–60 km wavelength range. Consequently, with the help of this filter, we are able to improve the observation of fine scale oceanic features in pseudo-SWOT data, and in the estimation of associated derived variables such as velocity and vorticity.

Related staff

  • Ananda Pascual Ascaso
  • Baptiste Mourre
  • Evan Mason
  • Related departments

  • External Staff
  • Oceanography and Global Change
  • Related research groups

  • Marine Technologies, Operational and Coastal Oceanography