Norwegian snow pillows (NVE HydAPI)

Output from the last scheduled build

This example needs nve credentials. The figures and printed output below come from the most recent scheduled build, which has them; this build reused that output instead of re-running the example.

NVE is the one network of the five that needs a credential: a free API key in NVE_API_KEY. easysnowdata reads it through its nve auth provider, so a missing key raises CredentialError with the setup steps before any request is made, rather than an opaque HTTP 401.

Request a key at https://hydapi.nve.no/.

import matplotlib.pyplot as plt

import easysnowdata as esd

Check the credential first; everything below needs it.

print(esd.auth.status())

                                 title  ...                                          needed_by
provider                                ...
earthdata               NASA Earthdata  ...  modis-snow, snow-classification, ucla-snow-rea...
earthengine               Earth Engine  ...  era5, huc, hydrobasins, snodas, forest-cover-f...
planetary_computer  Planetary Computer  ...
planet                          Planet  ...                                        planetscope
nve                         NVE HydAPI  ...                                       nve-stations

[5 rows x 6 columns]

Norwegian stations with SWE (parameter 2003) or snow depth (2002).

norway = (4.5, 57.5, 31.5, 71.5)
inv = esd.stations.inventory(norway, networks="nve", daily_only=True)
print(f"{len(inv)} NVE snow stations with a daily record")

27 NVE snow stations with a daily record

One water year at two long-running pillows.

obs = esd.stations.load(
    ["12.142.0", "121.2.0"], variables=["swe", "snwd"], time="2023-10/2024-09"
)

fig, ax = plt.subplots(figsize=(9, 4.5))
for station in obs["station"].values:
    name = str(obs["name"].sel(station=station).values)
    ax.plot(obs["dowy"], obs["swe"].sel(station=station), label=name)
ax.set_xlabel("day of water year (1 = 1 October)")
ax.set_ylabel(f"SWE ({obs['swe'].attrs['units']})")
ax.set_title("NVE snow pillows, water year 2024")
ax.legend()
fig.tight_layout()

Norway’s melt season runs later than the western US at the same latitude, which the day-of-water-year axis makes easy to compare against the SNOTEL example in this gallery.