Modeling Earth System Processes

In this course we will explore the use of numerical models and statistical techniques as tools for understanding Earth system processes. Students will investigate how models are designed, evaluate their strengths and limitations, and apply numerical modeling approaches to topics such as land-atmosphere interactions, glacier mass balance, sediment transport, and biogeochemical cycles. Through coding-based computational exercises and independent projects students will gain experience building, testing, and interpreting models, while critically examining how models are applied to contemporary questions in Earth and climate science. We will emphasize statistical methods for model calibration, parameter estimation, and uncertainty analysis and specific topics may include machine learning, Monte Carlo simulations, and Bayesian inference. (ECSC 0202 or by waiver)