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Global Warming II: Create Your Own Models in Python
Master Python programming to build numerical models that simulate Earth's systems and climate dynamics.
Course Cost
₹ 2,699
Beginner
Skill Level
34 Hours
Self-paced lessons
This course, offered by the University of Chicago, provides a series of Python programming exercises to explore numerical modeling in Earth system and climate sciences. It complements the "Global Warming I: The Science and Modeling of Climate Change" course, applying the scientific background to practical modeling. Students will develop models on topics such as energy balance, ice-albedo feedback, ice sheet dynamics, fluid flow, and climate change. The course is suitable for beginners in Python programming and offers a hands-on approach to understanding climate science through computational modeling.
15,972 Enrolled
English
What you'll learn
Develop Python programming skills for scientific modeling
Create and understand time-dependent energy balance models
Model ice-albedo feedback and snowball Earth scenarios
Simulate ice sheet dynamics and understand their role in climate
Create models of pressure, rotation, and fluid flow in planetary systems
Develop a comprehensive model of current climate changes
Gain practical experience in numerical simulation and data analysis
Skills you'll gain
This course includes:
25 Minutes PreRecorded video
6 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course provides a comprehensive, hands-on approach to creating numerical models for Earth system and climate sciences using Python. Over five modules, students will develop increasingly complex models addressing various aspects of climate science. The curriculum begins with a time-dependent energy balance model and progresses through iterative runaway ice-albedo feedback models, ice sheet dynamics, pressure and fluid flow simulations, and culminates in a model of current climate changes. Each module combines theoretical background with practical coding exercises, allowing students to apply their learning directly. The course emphasizes both the scientific principles behind climate modeling and the programming skills necessary to implement these models. Through this approach, students gain a deeper understanding of climate science concepts while developing valuable computational skills applicable to scientific research and data analysis.
Time-Dependent Energy Balance Model
Module 1 · 5 Hours to complete
Iterative Runaway Ice-Albedo Feedback Model
Module 2 · 5 Hours to complete
Ice Sheet Dynamics
Module 3 · 5 Hours to complete
Pressure, Rotation, and Fluid Flow
Module 4 · 11 Hours to complete
A Model of Climate Changes Today
Module 5 · 5 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
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