Weather and Climate Modeling

Abstract

Weather and climate models shape decisions from daily routines to battling climate change. This course introduces weather and climate models, from core equations to real-world applications in forecasting and climate projections. You'll run a state-of-the-art model, deepen your skills, and explore key challenges and opportunities. Join to master these essential tools for shaping the future.

Objective

1) Understand fundamental equations governing weather and climate models. 2) Run a state-of-the-art weather model and analyze forecast outputs. 3) Recognize key challenges in weather and climate modeling. 4) Develop critical skills for interpreting and using model results. 5) Explore real-world applications of weather and climate models in decision-making.

Content

This course dives into essential themes of weather and climate modeling, including numerical methods, atmospheric model formulation, and physical process parameterization (clouds, convection, radiation). You’ll also explore data assimilation, limits of predictability including chaos theory, and climate models (coupled atmospheric and oceanic systems). Gain hands-on experience with state-of-the-art modeling tools and their analysis using Python in the tutorial.

Resources