About the Project
This PhD project would explore new climate model developments, from FUTURE-STORMS (benefits of CPMs for extreme rainfall, strong winds, hail and lightning) and STORMY-WEATHER (creating plausible future storm hazards), and match them to needs of users, incl. finance industry and investment houses, engineering companies, logistics and construction firms. It will involve designing relevant metrics that capture the frequency and severity of natural hazards from high-resolution climate model outputs for global-scale diagnostic risk and impact assessment and for detailed site specific risks. The student would gain an ability to manipulate large climate model datasets, derive useful indices, and critically assess the robustness and applicability to risk analysis to deliver new, cutting-edge risk analysis tools.
The project is partnered with the Willis Research Network (WRN) at WTW. WTW is currently developing a raft of climate risk data and tools for its risk advisory services to clients, and public sector bodies, wishing to develop their understanding of how climate change will affect their business. There is opportunity to interact and collaborate with the global network of research scientists in WRN, as well as in-house experts at WTW.
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