Assessing Climate Change Impacts on Coastal Cities Using High-Resolution Model Simulations
Project Description
Global warming driven by rising greenhouse gas concentrations is expected to cause sea level rise, intensify extreme precipitation, and alter storm characteristics. This project leverages high-resolution regional climate model simulations to assess the projected impacts of these changes on coastal cities. Specifically, it examines shifts in the frequency, intensity, and spatial distribution of extreme precipitation and sea level rise, accounting for the effects of ocean warming and land subsidence, as well as the clustering of storms under different greenhouse gas emission scenarios. The findings aim to enhance the understanding of climate change-driven risks in coastal regions, supporting the development of effective adaptation strategies and urban resilience planning.
Supervisor
SU, Hui
Quota
5
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP3200
UROP4100
Applicant's Roles
1. Analyze high-resolution regional climate model simulations under various greenhouse gas emission scenarios;
2. Assign the confidence level to the climate projections by evaluating the model simulations against historical observations.
2. Assign the confidence level to the climate projections by evaluating the model simulations against historical observations.
Applicant's Learning Objectives
• Learn the typical structures of climate model outputs and gain hands-on experience in analyzing large spatiotemporal data.
• Understand the fundamental science of climate change and the complexities of climate change projections.
• Understand the fundamental science of climate change and the complexities of climate change projections.
Complexity of the project
Moderate