Uncertainties in coherent transport of particles and intrinsic properties

该项目旨在通过开发新的数学技术并将其应用于真实世界的数据，根据建模假设中的不确定性来量化模型输出的不确定性。这将在评估从实验/观测数据集中跟踪一致移动的结构(例如，飓风、海洋生物多样性热点、污染物补丁、虫群)的准确性的背景下进行。作为项目成果，将开发新的、经过数据测试的、用于相关结构不确定性量化的数学方法。项目的好处包括对保护环境的新见解、气候模型中不确定性量化的改进以及跨学科知识和培训的产生。

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.