Challenges in Modelling Extreme Values in Meteorological Applications
by Indriati Bisono
Abstract: The advances of classical extreme theory span a wide range of applications such as multivariate, temporal and spatial analysis, and Bayesian hierarchical model, each of which play an important role in environmental modelling. In meteorological applications, the change in extreme climate in terms of frequency or size is more likely to have a heavier impact on our society than the change on mean climate.
Therefore, it is important to study climate change especially extreme climate change.
Lately, major efforts have been devoted towards making use of global climate model (GCM) outputs to develop a better regional climate model (RCM), a process known as downscaling. Climate researchers around the world use climate model to study the climate system and try to improve the model. Multiple institutions produce multiple models with different parameterization, which make it difficult to decide which model is a better representation of the climate patterns. The big issue is on discovering uncertainties in the model.
In this talk, I would review several projects that have been done in capturing climate extremes and some challenges in modelling the extreme events, as well as my proposed research area.
For More Information: contact: Indriati Bisono. email: email@example.com