An e-learning course to create climate models in Python through hands-on programming exercises.
Students will use Python to model energy balance; ice-albedo feedback; ice sheet dynamics; and pressure, rotation, and fluid flow.
Use this tool to help your students find answers to:
- Derive the parameterized relationship between T, ice latitude, and albedo.
- Create the Python code for the “near-future climate model” described in the course. Run the code; analyze and discuss the results obtained.
About the Tool
|Tool Name||Global Warming II: Create Your Own Models in Python|
|Discipline||Mathematics and Computer Science|
|Topic(s) in Discipline||Mathematical Modeling; Numerical Modeling; Computer Programming; Python|
|Climate Topic||Planetary Climate, Climate Models|
|Type of Tool||E-learning course|
|Developed by||David Archer, The University of Chicago|