Hands-On Climate modelling training program

You’ll develop an in-depth and practical understanding of:
Different types of climate models (GCMs, RCMs, Earth System Models)
Scenario analysis (RCPs and SSPs)
Climate change vs climate variability
Risk-based interpretation of projections
Inter-model uncertainty and why it matters
By the end of this component, you won’t just use model output —
you’ll understand how climate modellers think.

We won’t start with “Hello World.”
You’ll learn Python from a practical, climate-science perspective, so that:
You can process large climate datasets
Handle NetCDF files confidently
Automate workflows
Build reproducible analyses
The goal isn’t coding for the sake of coding.
The goal is making you independently capable.

You will work with outputs from the newest climate model ensembles.
From basic to advanced, you’ll learn:
Statistical techniques commonly used in climate research
Why specific methods are chosen
How to quantify uncertainty
How to interpret results responsibly

This is where modelling meets decision-making.