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Hurricane Spaghetti Models Explained — How to Read Them Right

"Spaghetti models" (or spaghetti plots) show the track forecasts from many different computer models drawn on one map — each line one model's best guess at where the storm's center will go. When the lines cluster tightly, the models agree and confidence is high. When they fan out like spilled pasta, the atmosphere hasn't decided yet.

Not all noodles are equal

A typical plot mixes world-class global models with simple statistical ones, and they don't deserve equal weight:

How to read a spaghetti plot well

Spaghetti models vs. the official forecast

The National Hurricane Center's forecasters look at all of these models — plus consensus blends that average the best performers, which routinely beat any single model — and issue one official track with a cone of uncertainty around it. For decisions about your safety, the official forecast and your local watches and warnings outrank any individual model line, always.

Our live map shows each active storm's official NHC forecast track and cone alongside its actual path so far — the distilled result of all that model guidance, updated every advisory. The Tropical Weather Outlook covers systems that don't have model tracks yet.

FAQ

What are hurricane spaghetti models?

A spaghetti model plot overlays the track forecasts of many different computer models for one storm on one map. Tight clustering of the lines means high forecast confidence; a wide spread means the models disagree and uncertainty is high.

Which spaghetti model is most accurate?

No single model wins consistently. The ECMWF (European) and GFS (American) global models are the strongest individual performers, but consensus blends that average several top models routinely beat any one of them — which is why forecasters rely on the consensus, not a favorite line.

Should I trust spaghetti models or the NHC forecast?

The NHC official forecast. Forecasters build it from all of the models plus their own experience, and it has historically outperformed most individual models. Use spaghetti plots to understand uncertainty, and official watches and warnings to make decisions.

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