Broad scale flood modelling is a growing discipline with applications in insurance, adaptation and emergency response. This has been fuelled by increasing availability of continental and global scale gridded datasets providing inputs to a mounting array of models. However, outputs often differ and validation is challenging.
This research will further advance the development of a state-of-the-art 2D cloud based hydrodynamic model developed at Newcastle University. To date the model has been deployed in catchments in the UK, Europe, and around the world using globally available datasets.
There are a number of potential opportunities for development of this framework, enabling the PhD to be readily tailored to suit the skills and interests of the student, these include:
Improve automated validation in areas with limited, or no, flow gauge data through use of alternative data sources. These data ranges from information collected by citizen scientists, through to remotely sensed observations to derive river flows using new data from the new ICEYE satellite constellation.
Conduct a national, then global, scale flood impacts analysis by incorporating open source datasets, such as OpenStreetMap for transport network location and passenger and trade data to understand disruption to transport flows.
Derive spatially coherent climate change scenarios from the latest CMIP6 climate change data, propagate these through the cloud-based flood modelling framework to understand the risk of multiple concurrent flood events and consider the implications of such events to insurers and global aid agencies.
Depending on the focus the PhD student would benefit from links to appropriate industry, government and NGO stakeholder engagement.
This project is part of the ONE Planet DTP. Find out more here: View Website