WHAT'S HAPPENING NOW
—— ft above typical
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Live river level, flow, historical records and forecast for Gila River near Redrock in NM, United States, built from official government gauge data.
The Gila River near Redrock sits in the Upper Gila-Mangas watershed in New Mexico.
At this USGS station, the record high is 12.4 ft (3.78 m), set in September 2013. The record low is 2.46 ft (0.75 m), set in July 2019. Those two marks show a wide spread in stage, and that matters for anyone watching access, banks, or a crossing.
The usual seasonal pattern is more modest than the extremes. The highest month is March, with a typical level of 4.87 ft (1.48 m). The lowest month is June, with a typical level of 3.64 ft (1.11 m). The typical annual swing is 14.8 in (37.5 cm), so the day-to-day picture is usually a smaller shift than the record range, but still enough to change how shallow margins behave.
No fastest 24-hour rise is listed here, so there is no station-specific warning-time figure to quote from the record.
The drainage area above this station is 2,829 sq mi (7,327 km2). That is the upstream area feeding the gauge, not the whole named watershed. For people using this reach, that means the reading reflects what happens across a large contributing area before water gets to Redrock.
In this region, the seasonal rhythm is the main pattern to watch: spring flows can build, summer can drop off between events, and late-season storms can change conditions quickly. For a river user, that means March and June are useful markers for the year’s higher and lower typical stage, while the record highs show how far the channel can move beyond normal.
The hero number on this page compares today’s reading with the median for this calendar day across the station record. That is more useful than raw elevation because it tells you whether the river is running above or below its usual level for this date.
This station has more than 50 years on record, so the comparison is grounded in a long local history, not just a single season. On a USGS site like this, the calendar-day median is the cleanest quick check for whether today is ordinary for the date or something different.
Readings come from official government gauges and are rolled into daily records: the daily mean, high and low for every day on record. Each calendar day gets its own baseline from the full history, so the level you see is compared against what this specific date usually looks like rather than an annual average.
Real-time water levels, forecasts, and alerts for lakes and rivers in a growing number of countries. Built on official government data.
Nibi Metrics tracks more than 17,900 gauged lakes and rivers in a growing number of countries, reading directly from official federal monitoring networks: the Water Survey of Canada, the United States Geological Survey, Quebec's provincial hydrometric network, the Environment Agency for England, the Scottish Environment Protection Agency, Natural Resources Wales, the Office of Public Works in Ireland (waterlevel.ie), the Norwegian Water Resources and Energy Directorate (NVE), the State of Queensland's water monitoring network, and on the Great Lakes the Canadian Hydrographic Service and NOAA. Every number on the platform is measured, not modelled - taken from a government gauge on the water itself and compared against that location's own historical record for this exact date.
The level right now, in feet or metres, updated as the source agency publishes new readings - for many stations that is every five to fifteen minutes. How today compares to typical: every location carries its own typical-for-this-date band built from its historical record, so a reading is never just a number - it is above, below, or near what this water usually does on this calendar day. Which way it is moving: a measured RISING, FALLING, or STEADY verdict computed from the gauge's own recent readings, with the rate of change - the difference between a flood ending and one beginning. What comes next: level forecasts up to 72 hours ahead, driven by the gauge's recent behaviour, upstream water, and quantitative precipitation forecasts, alongside live radar, lightning, and weather for the surrounding region.
Set a threshold on any location - a level, a distance above typical, or a rate of climb - and Nibi emails or notifies you the moment the gauge crosses it. Cottagers use it for spring freshet, anglers for river conditions, marinas and municipalities for operations. The scanning runs around the clock against the same measured data shown on every page.
Nibi means water in Anishinaabemowin. The platform began at a family cottage on Lake Muskoka, Ontario, where the spring melt floods the shoreline most years and the only forecast was standing on the dock, looking, and guessing. It grew into an independent, member-funded platform run by Muskoka Research Inc. - no investors, no data resale, and a privacy policy shorter than most cookie banners. The core data is free for everyone, forever; paid plans add automation like multi-location alerts, deep history, and reports.
Nibi spans the continent: every Canadian province and territory with active federal gauges - from Vancouver Island rivers to the Muskoka lakes, prairie reservoirs, and Quebec's hydrometric network - and the United States from Maine to the Texas Hill Country, the Ohio Valley, and the Pacific Northwest. Coverage grows where the water news is: when a basin floods, its gauges join the platform with their full historical records attached. Many stations report every five to fifteen minutes; most report at least hourly; every page states exactly when its gauge last spoke.
The core promise is simple: the water data is free, for everyone, forever. Live levels, maps, radar, and recent history never sit behind a paywall. Paid plans fund the platform by adding automation - multi-location alerts, decades of history, longer forecasts, and PDF reports - so the people who need more carry the cost for everyone who just needs to check the lake before driving up. There are no investors and no advertising deals shaping what the data says.
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