SUPR
Predictability of compound extreme events
Dnr:

NAISS 2024/22-105

Type:

NAISS Small Compute

Principal Investigator:

Meriem Krouma

Affiliation:

Uppsala universitet

Start Date:

2024-01-26

End Date:

2025-02-01

Primary Classification:

10508: Meteorology and Atmospheric Sciences

Webpage:

Allocation

Abstract

Assessment of the predictability of compound extreme events in Europe and North America, using statistical approaches and machine learning. The aim of the study is to identify and understand the source of predictability for those events. This will require the use of large-scale and local climate data.