Quantifying unpredictability with Lyapunov exponents, entropy, and predictability horizons
🎯 Challenge
💡 Story
🎮 Sandbox
📚 Deep Dive
✅ Quiz
▶️ Simulate
🐛 Debug
How Far Ahead Can We Predict the Weather?
In 1961, Edward Lorenz discovered something troubling about weather prediction...
A tiny measurement error of 0.0001 degrees became a completely wrong forecast within weeks. Let's see why even perfect computers can't predict weather beyond ~14 days.
The Prediction Error Experiment
Imagine you measure today's temperature with a tiny 1% error. Watch how that error grows exponentially over time...
Day 0 of Forecast
Prediction Quality
Excellent
Error magnitude: < 0.01%
0%10%50%100%
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Days 1-5: Forecast is reliable. Error is still small enough to be useful.
Try it! Click "Start Simulation" to watch how a tiny measurement error grows over time. See how many days until the forecast becomes useless!