Learning Path

Computational Weather Prediction

Atmospheric Dynamics Fundamentals → High-Performance Computing in NWP

9 Knowledge Nodes · 9 Learning Steps · v0 Active

This graduate-level learning path equips atmospheric science students with the computational foundations and practical skills needed to understand and work with numerical weather prediction systems. It covers the governing equations, numerical methods for PDEs, model physics, data assimilation, ensemble forecasting, and verification, culminating in an understanding of modern NWP systems.

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Learning Route

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

Phase 1

Foundation

3 steps

Phase 2

Core Concepts

3 steps

Phase 3

Advanced Topics

3 steps