ECCC daily river discharge and water level (15 major Canadian rivers)

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Daily mean discharge (m3/s) and daily mean water level (m) for 15 major Canadian rivers — Mackenzie, St. Lawrence, Fraser, Hayes, Columbia, Ottawa, Peace, Athabasca, Red, Yukon, Churchill, Saskatchewan, Saint John, Liard and Bow — aggregated from Environment and Climate Change Canada's 5-minute real-time hydrometric feed (Water Survey of Canada). Trailing ~30-day upstream retention window; real-time values are provisional.

Source: Environment and Climate Change Canada — Water Survey of Canada
Rows: 460
Columns: 11
Source cadence: Daily
Last refreshed: Sep 26, 2026
Theme: environment

Column	Type	Description
station_number	string	Water Survey of Canada station number, e.g. '08MF005' (Fraser River at Hope). Stable identifier from the hydrometric-stations collection.
station_name	string	Official Water Survey of Canada station name, e.g. 'FRASER RIVER AT HOPE'.
province	string	Province/territory code of the station (e.g. BC, ON, NT) as published by the Water Survey of Canada.
country_code	string	ISO 3166-1 alpha-3 country code; always 'CAN'. Join key for the 'Enrich with public data' feature.
latitude	float	Station latitude in decimal degrees (WGS84), from the hydrometric-stations collection.
longitude	float	Station longitude in decimal degrees (WGS84), from the hydrometric-stations collection.
date	string	Calendar day of the daily mean (UTC), ISO 8601 date. Join key.
discharge_m3s	float	River discharge (flow) in cubic metres per second. Daily dataset: mean of all unit values for the UTC day (HYDAT's own daily-mean definition); null when the day has no valid observations. Latest dataset: instantaneous value at discharge_observed_at_utc. (unit: m3/s)
level_m	float	Water level in metres relative to the station datum (can be negative). Daily dataset: mean of all unit values for the UTC day; null when the day has no valid observations. Latest dataset: instantaneous value at level_observed_at_utc. (unit: m)
n_discharge_obs	integer	Number of real-time unit observations aggregated into the daily mean discharge (~288 for a full day at 5-minute intervals).
n_level_obs	integer	Number of real-time unit observations aggregated into the daily mean water level.

Profiled Sep 26, 2026 from snapshot 20260926T124718Z-8820ba1bea35

Measured

Completeness: 99.9%
Rows: 460
Columns: 11
Columns with gaps: 1

Rows per yeardate · 2026–2026 · 1 years

20262026

Column	Missing	Distinct	Range	Distribution
station_numbervarchar	0%	16	—	01AF00231 02KF00531 02OA01631
station_namevarchar	0%	16	—	ATHABASCA RIVER AT EMBARRAS AIRPORT31 BOW RIVER NEAR THE MOUTH31 CHURCHILL RIVER ABOVE LEAF RAPIDS31
provincevarchar	0%	9	—	MB122 AB93 NT62
country_codevarchar	0%	1	—	CAN460
latitudedouble	0%	16	45.35 → 67.46median 53.84	62 outside 1st–99th percentile
longitudedouble	0%	16	-139.43 → -67.74median -111.52	31 outside 1st–99th percentile
datevarchar	0%	28	—	2026-08-2815 2026-08-2915 2026-08-3015
discharge_m3sdouble	0%	505	40.17 → 14,134median 825.7	10 outside 1st–99th percentile
level_mdouble	0.65%	495	1.07 → 259.3median 5.51	10 outside 1st–99th percentile
n_discharge_obsbigint	0%	21	87 → 288median 288	3 outside 1st–99th percentile
n_level_obsbigint	0%	21	0 → 288median 288	5 outside 1st–99th percentile

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/eccc_hydro/eccc_river_discharge_daily" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/eccc_hydro/eccc_river_discharge_daily").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/eccc_hydro/eccc_river_discharge_daily

Tip: fetch /llms.txt for the full machine-readable catalog.

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Pinned to snapshot 20260926T124718Z-8820ba1bea35 and its content hash, so readers get exactly the data you used.

APA

Environment and Climate Change Canada — Water Survey of Canada. (2026). ECCC daily river discharge and water level (15 major Canadian rivers) [Data set, snapshot 20260926T124718Z-8820ba1bea35, sha256 8820ba1bea35]. Datazimuts. Retrieved 2026-09-26, from https://datazimuts.com/en/datasets/eccc_hydro/eccc_river_discharge_daily?snapshot=20260926T124718Z-8820ba1bea35

BibTeX

@misc{dz_eccc_hydro_eccc_river_discharge_daily_8820ba1b,
  title        = {{ECCC daily river discharge and water level (15 major Canadian rivers)}},
  author       = {{Environment and Climate Change Canada — Water Survey of Canada}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/eccc_hydro/eccc_river_discharge_daily?snapshot=20260926T124718Z-8820ba1bea35}},
  note         = {Snapshot 20260926T124718Z-8820ba1bea35, sha256 8820ba1bea3538cd9b5cec42f7502911609730289b317224a9debffce7040db8; accessed 2026-09-26}
}

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ECCC daily river discharge and water level (15 major Canadian rivers)

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