Learning Path

Computational Climate Modeling

Climate System Fundamentals → Model Evaluation and Uncertainty

12 Knowledge Nodes · 12 Learning Steps · v0 Active

This advanced graduate-level learning path equips climate and environmental science students with the computational knowledge needed to understand and work with climate models. It covers the physics of the climate system, numerical methods for solving model equations, and the structure and application of global climate models, including radiative transfer, ocean and ice sheet modeling, and climate feedbacks.

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12 nodes15 edges2 relationships

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Learning Route

12 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

4 steps

Phase 3

Advanced Topics

4 steps