What El Niño actually does to your snow
Not a model, not a forecast: the measured record. For 3246 NOAA weather stations in every state, 700 SNOTEL snowpack sites in the West and the big river gauges, this is how strong El Niño winters compared with typical winters over 77 classified winters since 1950 — and how this winter is tracking against that pattern.
Composite anomalies from measured records (GHCN-Daily monthly snowfall since 1950 for 3246 stations, SNOTEL SWE since the early 1990s, USGS daily discharge), stratified by DJF Oceanic Niño Index: El Niño ≥ +0.5, strong ≥ +1.5, La Niña ≤ −0.5. Anomaly = class mean − all-winter mean (% of mean; days for timing); hit rate = share of class winters on the composite's side; r = Pearson correlation of the station's series with DJF ONI across all winters. Surfaces are inverse-distance interpolations of station composites, masked to coverage; dots are the measurements.
The map
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The same measured composites draped over real terrain — orbit the ranges, compare basins, tap any station. Free with a Snoflo account.
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How often does it deliver?
| Region | Expected | Hit rate | Size | r |
|---|
Every winter, one station
This winter vs the pattern
Rivers: spring runoff in strong El Niño years
| River | Apr–Jul runoff | Hit rate |
|---|
Peak timing
Methods & data
- Winter classes: DJF-centred ONI from the CPC table ingested for ENSO Watch; El Niño ≥ +0.5, strong ≥ +1.5, La Niña ≤ −0.5. A winter is labelled by its January year (= water year).
- Season snowfall: NOAA GHCN-Daily monthly snowfall totals (Global Summary of the Month), Nov–Apr, for US stations whose snowfall record spans at least 1980–present; a winter needs Dec–Mar present. Apr 1 snowpack: SNOTEL SWE on Apr 1 (±3 days). Peak timing: season-day of maximum SWE, winters with peak ≥ 2 in. Runoff: Apr–Jul mean daily discharge at the outlet gauges used on Where the Rivers Go (
streamflow.metrics.streamflow). - Eligibility: ≥ 18 classified winters per station, ≥ 3 winters in the class; NRCS/NOHRSC twin records merged (longer record kept). Skill: r is the Pearson correlation between DJF ONI and the station series over all winters; r² is the share of year-to-year variance ENSO explains, which is modest almost everywhere, so composites are odds, not forecasts.
- Surface: inverse-distance weighting (p = 2, reach 3.2°, masked beyond 1.7° (snowfall) or 2.1° (SNOTEL) from any station) on a 468×200 lon/lat grid over the lower 48; hatched where fewer than 3 in 5 class winters agreed. The atlas canvas and the 3D overlay read the same PNG.
- API: /api/enso/atlas (JSON, 1-h cache).