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Open Snotel
Public snow data for the West

Live snow data from the mountains.

Open observations from the SNOTEL network, made easier to explore, query, and use.

Source · NRCS SNOTEL network · Western U.S.
Pl. 01Teton RangeGrand Teton National Park
Snow-covered Teton Range peaks above forested foothills and a flat snowfield under a cloudy sky
Teton Range in winter, Grand Teton National Park, Wyoming.11 Mar 2025 · NPS photo / M. Nall · Public domain · Source for Teton Range in winter (opens in a new tab)
Featured stationBanner Summit
Station
312:ID:SNTL
Elevation
7,040 FT
01 / Stations

The western snow network

Every SNOTEL station has its own page. Start from the full list, or from where the snowpack stands across the network today.

Wind-sculpted snow and rime-coated trees on a ridge, looking out over snowy mountain ranges under layered cloud
Mount Brown in winter, Mount Brown, Glacier National Park, Montana.22 Feb 2020 · NPS photo, Glacier National Park · Public domain · Source for Mount Brown in winter (opens in a new tab)
02 / The network

Weather stations that sit in the snow

SNOTEL is a network of automated stations the USDA Natural Resources Conservation Service runs in the mountains of the western United States. Each one weighs the snow on a pillow to find how much water it holds, measures how deep it is, and records precipitation and air temperature, then reports the readings on a schedule.

Each station's page lays out what it observed: the latest readings with their elevation and observation time, and the daily history behind them.

Pl. 02SNOTEL siteUSDA NRCS
SNOTEL site in deep snow: precipitation gauge with wind shield, marker poles and a sensor tower among snowy firs
A SNOTEL site in deep snow: the precipitation gauge in its wind shield, marker poles, and the sensor tower.17 Feb 2011 · USDA NRCS Montana · Public domain · Source for SNOTEL site in winter (opens in a new tab)
Fig. 03Station componentsSchematic
A typical station. Sensor arrangement varies from site to site.
03 / Observed, not guessed

Every number says where it came from

  1. ObservedMeasured at the station

    Snow water equivalent from the snow pillow, depth from the depth sensor, precipitation and air temperature, each with the source's units and flags.

  2. DerivedCalculated from observations

    Values we compute, such as the change in depth over 24 hours: today's depth minus yesterday's.

  3. ForecastModeled future

    A look ahead from a model. Not offered yet; when it is, it will be labeled as a forecast.

A change in snow depth is not automatically snowfall.

Settling, wind and melt move the surface too, so a rise in depth is reported as a derived change, never as new snow.
How readings are labeled (illustrative)
ReadingKindWhat it means
Snow water equivalentObservedMeasured by the station's snow pillow.
Snow depthObservedMeasured by the station's depth sensor.
Depth change, 24 hoursDerivedToday's depth minus yesterday's. Not snowfall.
Storm outlookForecastNot offered yet.
04 / Open by default

Read the data the way you work

  1. Data model

    Stations, sensors and observations, with every value keeping its source, units and flags.

  2. HTTP API

    A read-only REST API over the western snow network, under /api/v1.

  3. MCP

    A remote MCP server, so an agent can read the same mountain data a person does.

Fig. 04Latest readingGET /api/v1

Station ID 312:ID:SNTL

Request
curl 'https://opensnotel.com/api/v1/stations/312:ID:SNTL/latest?elements=WTEQ,SNWD&duration=DAILY'
ResponseRequested when this example scrolls into view
Choose a station by name and this page calls the public API for its latest snow water equivalent and depth, then prints the response it got. Units, flags and the observation time travel with each value.Observations reference
Field archive

Snow surveys, then and now

A single bare tree on a snowy flat below smooth wind-shaped snow hills and cornices, clear sky
Lone tree and snowy hills in Hayden Valley, Hayden Valley, Yellowstone National Park, Wyoming.13 Jan 2017 · NPS photo / Jacob W. Frank · Public domain · Source for Lone tree and snowy hills in Hayden Valley (opens in a new tab)

Public snow data, open to anyone who reads the mountains.

Every reading keeps its source, units and flags, whether you read it here, through the API, or through an agent.

Start with the docs

Photographs

All photographs are public-domain works of the U.S. National Park Service and the USDA Natural Resources Conservation Service, shown with a print treatment applied in the browser.