Abstract:
|
A climate system model is one of the primary tools used in the geosciences to study how human behavior and other external factors can influence our climate on a global scale. These models typically run to millions of lines of code, run on supercomputers, and capture the complex interactions between the atmosphere, ocean, land, sea ice, and many other physical components. The numerical models that describe processes often have many parameter that need to be specified for the model to be realistic and the "tuning" of the model is an important part of the model development process. Given the limited amount of observational data and the difficulty in running the model for many different parameters settings the choice of parameters is challenging. This talk will explain how statistics and data science can play a role in the model development.
|