University of Tasmania, Australia

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CSIRO-UTAS PhD Program in Quantitative Marine Science

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*NEW* Tides and barotropic oceanic signals around Australia

Supervisor(s)
Principal supervisor

Name: Prof Richard COLEMAN, UTAS registered supervisor
Ph and Email: Richard.Coleman@utas.edu.au
Position and School: Professor, IMAS
Area of expertise: marine science, physical oceanography,

Co-Supervisors
Name: Dr Benoit LEGRESY, UTAS registered supervisor
Ph and Email: benoit.legresy@csiro.au
Position and School: CSIRO Scientist and ACE CRC adjunct
Area of expertise: geodesy, physical oceanography, remote sensing, in situ observations


Name: Dr Mark Hemer, UTAS registered supervisor
Ph and Email: mark.hemer@csiro.au
Position and School: CSIRO Scientist, and AMC Adjunct Assoc. Prof.
Area of expertise: physical ocean modelling, waves, tides and other signals

Summary:
2021 should see the launch of a game changer satellite for oceanography, SWOT. A key limitation to interpret the high resolution ocean topography in the coastal regions will be the barotropic signals (tides and response to wind and atmospheric pressure). To overcome this limitation, we need to get a pan-Australian operational model which can run at the necessary resolution and accuracy. The tides and barotropic signals are the main energetic signals in the ocean at short time scales. They are also a prominent source of renewable energy in the ocean. Available global ocean barotropic models are now good enough to picture the sea surface height and barotropic currents appropriately. However, they are less reliable when approaching the coast, mainly due to their lack in resolution and associated poor representation of the bathymetry and coastline. The topic of this work will be to develop the regional barotropic model for Australia which can reach the level of detail and accuracy to deliver to various applications. The main application is for satellite coastal altimetry correction and interpretation. The model should be useful to a number of topics using sea surface height and currents.


Essential skills/experience:
- Skills in quantitative physical science or engineering
- Computing skills, e.g. in Matlab, Fortran, C
- Strong interest in physical oceanography


Desirable skills/experience:
Interest/experience in oceanography, applied mathematics, numerics
An aptitude for multi-disciplinary research