Daily snow-station archive (global snow networks)#

snow-station-archive · theme stations · live

Daily SWE and snow depth for every station whose daily record has been probe-verified, across all five networks, pre-downloaded and published by global_snow_networks: a normalized station inventory as GeoJSON and one CSV per station, bundled into a single ~28 MB archive. The fast path for ‘everything daily’ without hitting five APIs, refreshed daily. Most stations start around 1980; a few long snow courses reach back to 1896. SWE and snow depth only; for other variables, other intervals or quality flags, use easysnowdata.stations.load().

import easysnowdata as esd

aoi = (-121.94, 46.72, -121.54, 46.99)   # Mount Rainier

inv = esd.stations.archive.inventory(aoi)      # one HTTP request
obs = esd.stations.archive.load(inv)           # SWE and snow depth

No account needed

Every route to this product is open. Nothing to set up.

Sources#

2 routes serve this product; the first is the default and source= picks another. The return contract is the same either way.

source

provider

credentials

resolution

extent

temporal

latency

notes

github-tarball (default)

raster_http

none

western US, western Canada, Norway, Yukon, California, BC

1896/present (most stations from ~1980)

daily rebuild

one ~28 MB download holding every station CSV; cached, so the whole archive costs one request

github-csv

vector_http

none

western US, western Canada, Norway, Yukon, California, BC

1896/present (most stations from ~1980)

daily rebuild

one request per station; cheaper than the bundle for a few

Where each route points#

github-tarball — global_snow_networks bundled archive live

https://github.com/egagli/global_snow_networks/raw/main/data/all_station_csvs.tar.xz

github-csv — global_snow_networks per-station CSVs live

https://raw.githubusercontent.com/egagli/global_snow_networks/main/data/stations/

Variables#

variable

units

dtype

nodata

categorical

swe

cm

float64

no

snwd

cm

float64

no

Provenance#

Licence · Per contributing network; see each network’s product entry

Cite the data as

Gagliano, E. Global snow networks: a documented inventory and daily archive of public snow-station observations. https://github.com/egagli/global_snow_networks. Underlying observations are the networks’ own; cite them as well.

Documentation

Loader · easysnowdata.stations.archive.load