AI for megacities: Understanding the impact of climate extremes

Lead Research Organisation: University of Cambridge
Department Name: Chemistry

Abstract

Regional and local scale extreme events (such as heat waves) will become more frequent over the next few decades, with rising mean temperature and increased climate variability. While climate models capture broad scale spatial changes in climate phenomena, they struggle to represent extreme events on local scales. Such events are crucial to providing actionable and robust climate information to forecast, among other things, energy demand. The student will apply Bayesian statistics and machine learning in new and innovative ways to help transform the field of environmental data science.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
NE/R009457/1 01/10/2017 30/09/2022
2083498 Studentship NE/R009457/1 01/10/2018 30/09/2022 Risa Ueno