Yinxue Liu

Yinxue joined the water lab in the hydro-climate extremes group (led by Prof Louise Slater) as a Postdoctoral Research Associate in December 2022. She works on a collaboration research project Evoflood, where the Oxford team investigates multiple aspects of the river system at the global scale by leveraging the growing river-related global datasets and climate indicators. The ultimate goal of the project is to improve our understanding of flood risk at regional and global scale.

Yinxue’s research focuses on improving global river geometry leveraging big data and machine learning. This will enhance our understanding of riverine flood risk particularly in data sparse regions. She is also interested in understanding the role of climate and climate change on river flood frequency.

Previously, Yinxue obtained her Doctoral Degree in Physical Geography from the University of Bristol (supervised by Profs Paul Bates and Jeff Neal). Yinxue’s PhD project investigated the errors in widely available topography data in urban areas, developed a set of algorithms to remove these errors, and created bare-earth DEMs based on widely available global DEMs and the possible next generation of global DEMs. The outputs of her PhD project facilitate the use of global DEM in improving large-scale flood inundation modelling in urban areas and shed lights on optimizing the use the possible next generation of global DEMs (high-resolution Photogrammetry DEM such as ArcticDEM and GoogleDEM) in improving global flood inundation modelling.

Information of the publications can be found at Google Scholar (https://scholar.google.co.uk/citations?hl=en&view_op=list_works&gmla=AL3...)