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 |
Grade Level | Undergraduate |
Location | Global |
Language | English |
Translation | |
Developed by | David Archer, The University of Chicago |
Hosted at | Coursera |
Link | https://www.coursera.org/learn/global-warming-model |
Access | Online |
Computer Skills | Advanced |