Analysis of compound extreme using CMIP6 multi-model ensemble
Project Description

The future climate projections generated from the Coupled Model Intercomparison Project (CMIP6) are regarded as the most reliable information source to understand global climate change. After the recent release of the 6th phase of CMIP (CMIP6) datasets to the public, many attempts have just now commenced. Therefore, in-depth analysis of multivariate output from CMIP6 multi-model ensemble is very limited yet. In this project, we will investigate the future changes in compound extreme that is defined as concurrent heatwaves and droughts under global warming.

Supervisor
IM Eun Soon
Quota
1
Course type
UROP1100
UROP2100
Applicant's Roles

The student will collect daily temperature and daily maximum temperature for the analysis of heatwave and daily precipitation for the analysis of drought from CMIP6 Archive. Many different model’s output will be processed for the multi-model ensemble projections. The student will apply the several statistical methods to detect the future change signal and to characterize the intensity and frequency of compound extreme.

Applicant's Learning Objectives

By completing this project, the student will learn how to handle massive climate data and how to analyze and interpret the climate change impacts due to global warming.

Complexity of the project
Moderate