Junior Climate Model Debugger
The Pitch
You will poke holes in climate model outputs. Not because you're a denier - because good science needs people trying to break it.
The Anti-Pitch
You will not predict the climate in 2100. You will not solve global warming. You will learn why models disagree and where they're most uncertain.
What You'll Actually Do
- -Compare outputs from different climate models
- -Identify regions/scenarios where models diverge dramatically
- -Research why specific predictions are uncertain
- -Document the assumptions buried in model parameters
Output Expectations
A catalog of "model disagreements worth investigating." Clear explanations of uncertainty for non-scientists.
The 20-Day Journey
How Climate Models Work
Learn the basics of GCMs. Understand what they can and can't do.
Find Disagreements
Pick a region. Compare 5 models. Document where they diverge.
Deep Dive
Research WHY the models disagree. Trace it back to assumptions.
Explain the Uncertainty
Write a one-pager for policymakers. Be honest without being alarmist or dismissive.
Meta-Learning
What did you learn about how scientific knowledge is constructed?
How You Know It's Working
- -You can explain why climate models disagree without both-sidesing the science
- -You find an assumption that deserves more scrutiny
- -You understand the difference between uncertainty and wrongness
Why This Matters
Why Now
Climate policy depends on models. Someone needs to understand where those models are weakest.
The Goal
You're learning to think clearly about uncertainty - a skill that transfers everywhere.
What You Need
Required Mindset
- - Scientific skepticism (not denialism)
- - Comfort with statistics and probability
- - Ability to read dense technical documentation
- - Interest in how predictions are actually made
Helpful Background
- - Physics, Environmental Science, or Applied Math major
- - Statistics coursework
- - Have read at least one IPCC report summary
Not Required
No climate science PhD. No atmospheric physics background. No coding beyond basic data analysis.
Your Toolkit
Hard Tools
Soft Tools
- - Critical reading
- - Uncertainty quantification basics
- - Visual comparison
Survival Skill
Holding two ideas at once: "climate change is real" and "this specific prediction might be off."
Try the next step
Use a real job posting to check its AI exposure, or build skills through a practical training project.