EGU2020-3626
https://doi.org/10.5194/egusphere-egu2020-3626
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Reconstruction of the Inshore Labrador Current using SWOT: from OI to DENKF

Guoqi Han and Zhimin Ma
Guoqi Han and Zhimin Ma
  • Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, Canada (guoqi.han@dfo-mpo.gc.ca)

Hourly sea surface height (SSH) from a coastal ocean model off eastern Newfoundland is used to generate simulated surface water and ocean topography (SWOT) data by a SWOT simulator. The simulated SWOT data are then used to reconstruct SSH by applying optimal interpolation (OI) in time and space. The reconstructed SSH is further used to calculate geostrophic currents associated with the inshore Labrador Current. The simulated SWOT data are also assimilated into the coastal ocean model by applying a deterministic ensemble Kalman filter (DEnKF). It is found that the inshore Labrador Current is fairly well reconstructed at the weekly scale, while the DEnKF assimilation reproduces well the  inshore Labrador Current at not only weekly but also daily scales.

How to cite: Han, G. and Ma, Z.: Reconstruction of the Inshore Labrador Current using SWOT: from OI to DENKF, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3626, https://doi.org/10.5194/egusphere-egu2020-3626, 2020