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An open weather station in a field under a bright sky
Mathematics

was studying a simple mathematical model of flow in the atmosphere, and a model like that holds no randomness at all: the same starting conditions always lead to the same outcome. Then he entered a slightly rounded number. What happened?

From simulation

An entirely different weather. He published it in 1963: even with full in the equations and no randomness in them anywhere, there is . The gap between the two runs grew exponentially, doubling over each fixed interval, until the two had nothing in common. Which sets a hard limit, since every improvement in measurement buys only a little more forecast horizon.

The background is the assumption that held until then: if the laws are known and there is no randomness, then given a good measurement you can forecast. Weather counted as hard only because there were not enough stations and not enough computing power.

Lorenz was working on a drastically simplified model of air flow, three equations, entirely deterministic. And on the telling, when he retyped a starting value that had been rounded slightly, he got a completely different weather.

That is not a fault but a property. The minute gap between the two trajectories grew exponentially, which is to say it doubled over each fixed interval, until the two were nothing alike. From which follows a hard limit: every improvement in measurement precision buys only a little more forecast horizon.

What turned up alongside it is no less beautiful. The trajectory neither escapes to infinity nor settles into a cycle, but moves forever inside , one shape resembling a pair of butterfly wings. There is clear order and no predictability, together. The model itself is an extreme simplification of the atmosphere, and it explains a principle rather than replacing full meteorological models.

wat. A world with no dice in it can still be hard to predict, if it is sensitive enough to where it started.

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It explains why a long-range forecast is hard even with good computers. The problem is not only missing information but the amplification of small errors.

How do we know?

The paper set out a system of nonlinear equations and analyzed numerical solutions of it. The trajectories stayed bounded inside a strange attractor, and never settled into a simple cycle.

From simulationPeer-reviewed study

What is still unknown

The Lorenz model is an extreme simplification of the atmosphere. It explains a principle; it does not replace full meteorological models.

Learn something?

Lorenz, Journal of the Atmospheric Sciences· 1963· DOI 10.1175/1520-0469(1963)020<0130:DNF>2.0.CO;2

Where to next

Does cloud seeding actually work?weatherWhy is flying east harder on the body than flying west?modelsWho was allowed to tell the public what tomorrow’s weather would be?weather

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