High resolution ocean modelling has found the world’s strongest ocean currents, which play key roles in fisheries and ocean ecosystems, will experience more intense marine heatwaves than the global average over coming decades.
Tiny microbes at the base of the ocean food chain will be increasingly affected by marine heatwaves as the climate changes.
In this project, the selected student will develop a numerical algorithm to generate a spatial map of Antarctic ice algal biomass using Machine Learning.
In this project, the selected student will use a one-dimensional numerical ocean model to simulate and understand the physical and biogeochemical processes in the ocean near Australia. The student will utilise the long-term oceanographic measurements conducted at one of the National Reference Stations maintained by the Australian Integrated Marine Observing System (i.e., the Maria Island, the Port Hacking, and the Rottnest Island).