EGU24-12761, updated on 09 Mar 2024
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Simulated Sea Surface Salinity Data from a 1/48° Ocean Model 

Frederick Bingham1, Séverine Fournier2, Susannah Brodnitz1, Akiko Hayashi2, Mikael Kuusela3, Elizabeth Westbrook1, Karly Carlin4, Cristina González-Haro5, and Verónica González-Gambau5
Frederick Bingham et al.
  • 1University of North Carolina Wilmington, Center for Marine Science, Wilmington, United States of America (
  • 2Jet Propulsion Laboratory, California Institute of Technology, Pasadena CA, 91109, USA
  • 3Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
  • 4Catlin Engineers & Scientists, Wilmington NC, 28405, USA
  • 5Barcelona Expert Center and Institute of Marine Sciences (ICM-CSIC), 08003, Barcelona, Spain

In order to study the validation process for sea surface salinity (SSS) we have generated a year (November 2011- October 2012) of simulated satellite and in situ “ground truth” data. This was done using the ECCO (Estimating the Circulation and Climate of the Oceans) 1/48° simulation, the highest resolution ocean model currently available. The ground tracks of three satellites, Aquarius, SMAP (Soil Moisture Active Passive) and SMOS (Soil Moisture and Ocean Salinity) were extracted and used to sample the model with a gaussian weighting similar to that of the satellites. This produced simulated level 2 (L2) data. Simulated level 3 (L3) data were then produced by averaging L2 data onto a regular grid. The model was sampled to produce simulated Argo and tropical mooring SSS datasets. The Argo data were combined into a simulated gridded monthly 1° Argo product. The simulated data produced from this effort have been used to study sampling errors, matchups, subfootprint variability and the validation process for SSS at L2 and L3.

How to cite: Bingham, F., Fournier, S., Brodnitz, S., Hayashi, A., Kuusela, M., Westbrook, E., Carlin, K., González-Haro, C., and González-Gambau, V.: Simulated Sea Surface Salinity Data from a 1/48° Ocean Model , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12761,, 2024.