[Cite as http://purl.org/au-research/grants/arc/DP200101764]
A/Prof Sanjeeva Balasuriya
A/Prof Nicholas Ouellette
Brief description Uncertainties in coherent transport of particles and intrinsic properties. This Project aims to quantify the uncertainty of a model output in terms of uncertainties in modelling assumptions, by developing new mathematical techniques and applying them to real-world data. This will be in the context of assessing the accuracy of tracking coherently moving structures (e.g., hurricanes, oceanic biodiversity hotspots, pollutant patches, insect swarms) from experimental/observational data sets. Novel, data-tested, mathematical methods for uncertainty quantification of coherent structures will be developed as Project outcomes. Project benefits include new insights into protecting the environment, improved uncertainty quantification in climate modelling, and the generation of interdisciplinary knowledge and training.
Funding Amount $450,000
Funding Scheme Discovery Projects
View this grant in the ARC Data Portal