ABSTRACT

A large number of extreme weather and climate events have occurred recently in Europe and around the world, causing damage to infrastructure and loss of life, particularly in developing countries. This has raised the question of the role of climate change in altering the likelihood or magnitude of a number of these events. The science of attributing extreme events has been? developed to answer these questions. With the many advances in this field, it is now possible to go beyond the attribution of climatic events and look at their impacts as well. This is one of the major challenges facing the attribution sciences. At the same time, the development of data processing techniques based on artificial intelligence algorithms is opening up the prospect of new techniques that could help tackle this challenge.

The school will provide an introduction to some various aspects of attribution of extreme weather events and their impacts to climate change, including perspectives brought into the field by advances in machine learning. In addition to morning lectures, the afternoons will be dedicated to student projects. There will be 5 student projects;  each student will work on the same project in groups for the duration of the school. 

Key words

• attribution
• extreme events
• impacts
• machine learning

Speakers

• Mariana de Brito (UFZ) – Text mining in climate extremes research- from impacts to adaptation
• Sabine Undorf (PIK) – TBD
• Rupert Stuart Smith (Univ. Oxford) – Climate science in court: leveraging scientific insight for legal accountability.
• Samuel Rufat (Univ. Cergy) – TBD
• Emmanuel Rouges (Univ. Reading) – Energy meteorology: The challenges faced by the energy sector with increased renewable generation.
• Ana Bastos (Max Planck) – An ecological perspective on compound events.
• Elena Saggioro (Univ. Reading) – Science for accelerating climate adaptation planning and action.
• Andreia Ribeiro (UFZ) – Compound events and agriculture in a changing climate.

The list of student projects topics and supervisors will be updated at a later date. 

Your stay (food and accommodation) will be fully covered but your travel fees (train, plane) will be at your own charge. 

Please send your application (CV + letter of motivation) before February 29^th 2024 at xaidaproject@gmail.com 

Students will be notified of their acceptance by the end of March 2024. They will then submit their preferences for student projects.