Quantitative Risk Assessment of Climate Extremes
Doctoral Researcher:
Widad Kchikach, AWI and University of Bremen, widad.kchikach@awi.de
Supervisors:
- Prof. Gerrit Lohmann, AWI
- Prof. Thorsten Dickhaus, University of Bremen
Location: Bremerhaven
Disciplines:
Keywords: Climate extremes, Statistical Modeling, Quantitative Climate Risk Management
Motivation: Building on a previous MarDATA project, this work advances statistical modeling of climate extremes by capturing spatial dependencies and teleconnections through copula-based extreme value models. These methods enable efficient clustering of global climate risks and the development of smaller, more focused sub-models.
The project takes the next step toward quantitative climate risk management by defining loss functions and assessing aggregated risk over time, accounting for amplifying effects of simultaneous extreme events across regions. This delivers valuable insights for insurers, financial institutions, and policymakers, while also deepening scientific understanding of the mechanisms driving climate extremes. By leveraging long-term climate data and robust statistical principles, the project supports improved risk assessment, reduced uncertainty, and greater climate risk literacy across sectors.
