A/Prof. Ivica Janekovic¹, Dr. Matt Rayson

¹UWA, Perth, Australia

Estimating ocean processes in regions with sparse observations, and where dynamics are dominated by strong barotropic and baroclinic tides, poses a significant modelling challenge. In this talk, I will show you our approach of using a Four-Dimensional Variational (4D-Var) data assimilation method, which assimilated remotely sensed sea surface temperature (SST) data observations only. It was used to improve estimates of the internal tide dynamics in the ocean between Australia and Indonesia. This region is well known for local internal tide generation, propagation, and interference of the internal tides highly variable and dependent on the 3D density field and mesoscale dynamics. The results show that assimilation of remotely sensed SST data not only reduced the surface temperature root mean squared error (RMSE) from 0.8 ◦C to 0.3 ◦C, and removed a 0.4 ◦C cold bias (compared to a non-assimilative model), but also improved estimates of through-water-column variables — with the latter evaluated against ARGO profiling floats and two independent mooring sites. Overall, the depth-averaged temperature RMSE was reduced by as much as 38%, and ocean currents by ∼20% at the two mooring sites. The improvements were most significant in the top 100 m, where the internal tide signature was significantly corrected despite no depth-varying variables being assimilated. The study also showed that assimilating 2 km resolution SST observations resulted in more realistic SST wavenumber power spectral density estimates than those without assimilating data; in particular, the scheme reduced the energy at mesoscale length scales and improved the spectral slope towards the smaller submesoscale dynamics. 4D-Var assimilation using only SST improves estimates of upper 100 m ocean dynamics in tropical regions where there is sensitivity to the air-sea fluxes.

Biography:

I am a physical oceanographer with more than 20y of experience in the observations and modelling space. I am developing 4D-Var Data Assimilation, ROMS nesting, 2-way ocean-atmosphere-wave coupling, and real-time applications systems in different parts of the World. Solving industry-related problems, developing High-Performance Computing models, leading many projects, and publishing my work are the core of my activity.  Currently, I am working as a Research Associate Professor at the Oceans Graduate School, University of Western Australia.