Rain or Snow Lab · Mile 9, up close

StorylinesThe ways this storm could go, and why

The ensemble’s 51 forecasts sort into a few storylines. Pick one below and every chart on the page follows it: what happens hour by hour, when it changes, what drives it, how cleanly the forecasts split, and how the odds have moved over the last four runs.

Demo storm · synthetic 51-member ensembleWashington, D.C. · Sat 7 AM – Mon 7 AM
Storylines
What happensThe storylines

Four ways this goes

Each card is one storyline with its odds and middle outcome. Tap a card to follow it through the page.

What happensHour by hour

Every forecast, every hour

One row per ensemble member, grouped by storyline. Color is the precipitation type that hour; stronger color is heavier precipitation. Blank is dry.

Rows inside each storyline are sorted by when snow starts. Hover a cell for that member and hour.

WhenAccumulation

How it piles up

Thin lines are individual forecasts; thick lines are each storyline’s middle forecast, hour by hour.

Running total of
WhyTemperature

Temperature writes the storyline

Surface wet-bulb temperature, which sets rain versus snow better than air temperature. Above the band is usually rain, inside it a sleet and wet-snow mix, below it snow; a heavy burst can drag snow down a degree or two above it.

WhenTiming

When it starts, switches and ends

For each storyline: the window in which 80% of its forecasts start, turn to snow and end. The dot is the middle forecast.

WhyWhat sets them apart

The fingerprints

Left: each forecast traced across the five numbers that define it. Storylines separate where their lines bundle apart. Right: the single biggest driver, how close the low passes to the coast.

Dry forecasts are left out because they never start. “Never” on the snow-start axis means the forecast stayed rain or sleet.

How sureCluster quality

How cleanly do they split?

Left: the forecasts in two dimensions (principal components of the four clustering features), with each storyline’s outline and the direction each feature pulls. Right: silhouette scores, where 1 means a forecast sits squarely in its storyline and below 0 means it fits a neighbor better.

How it movedRun to run

Storyline odds over four runs

Earlier ensemble runs, sorted into today’s storylines by nearest match. A storyline gaining runs in a row is a trend worth trading on; one that flips back and forth is noise.