Quantifying the impact of new high-resolution ocean observations – such as autonomous gliders, coastal radar, or satellite imagery – is critical for the efficient deployment of observing infrastructure. In this project, we will quantify how particular observing platforms contribute to ocean state estimates, allowing us to determine the most effective locations and parameters to observe, e.g targeting extremely expensive ship-based sampling vs agile autonomous glider measurements to areas where they will add most value.
Data Assimilation (DA) is a powerful tool used to combine observations with a numerical model to produce a “best estimate” of the ocean state. We will perform a series of DA experiments to test the sensitivity of the estimated ocean state to various observation platforms. The results of this project will assist in guiding the types and location of observations that will best improve the model forecasts at the least cost. This project will be co-supervised by Dr Colette Kerry (UNSW), Prof Brian Powell (U. Hawaii), Prof Moninya Roughan (UNSW), and Dr Shane Keating (UNSW).
This projects is part of an ARC-funded research grant to develop an end-to-end ocean weather information system. Applicants require a research B.Sc. (Hons) or research Masters degree preferably in physics, mathematics, oceanography or quantitative Marine Science. Candidates are expected to apply for a Domestic Research Scholarship (Australian residents) or International Research Scholarship (non-residents). Successful applicants will be eligible for an additional top-up scholarship of $5000+ per annum for cost-of-living expenses. See here for online applications and key dates.
Applications close 12 October for commencement in 2019.
Mathematics for Planet Earth 