Edgware Brook at Stanmore, Wolverton Road Water Level
Live river level, flow, historical records and forecast for Edgware Brook at Stanmore, Wolverton Road in England, United Kingdom, built from official government gauge data.
- Location England, United Kingdom
- Primary gauge ea-3823TH (Environment Agency)
About Edgware Brook at Stanmore, Wolverton Road
Edgware Brook at Stanmore, Wolverton Road is a gauged river in England.
The watershed
For this station, the useful pattern is seasonal: levels are highest in November and lowest in July. The typical level shifts from 0.16 m (0.51 ft) in November to 0.08 m (0.26 ft) in July, a swing of 7.7 cm (3 in). In temperate hydrology, that points to a river that usually carries more water in the cooler, wetter part of the year and less through summer.
For anyone living beside it, that means docks, banks, and small crossings see the most stress outside the summer low-water period. For anglers, November is the month to watch for fuller flow, while July is when the channel is most likely to run at its quietest.
What the numbers say
The record high is 0.62 m (2.03 ft), set in November 2018. The record low is 0.02 m (0.05 ft), set in July 2022. That spread shows how far the brook can move between wet-season peaks and summer lows.
This station has 26 years on record, so the pattern is not based on a short run of readings. The seasonal range is modest in absolute terms, but on a small brook even a few centimetres can change how water sits against an intake, a bank, or a crossing.
Reading the hero number
The hero reading on the page should be read against the median for this calendar day, not as a stand-alone height. That makes it easier to tell whether the brook is running above or below its usual level for the date, instead of comparing it only with the full record.
That matters here because the same water level can mean very different things in November and in July. Against the day-of-year median, a number from the Environment Agency station at Edgware Brook at Stanmore, Wolverton Road says whether conditions are ordinary for this point in the season, using a record built over 26 years.
How this page is built
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.
How Nibi Metrics works · Water stories
Nibi Metrics - live water levels, flow, and forecasts for lakes and rivers across Canada, the US and the UK
Real-time water levels, forecasts, and alerts for lakes and rivers across Canada, the US and the UK. Built on official government data.
Nibi Metrics tracks more than 13,000 gauged lakes and rivers across Canada, the United States and the United Kingdom, reading directly from official federal monitoring networks: the Water Survey of Canada, the United States Geological Survey, Quebec's provincial hydrometric network, and the Environment Agency for England. 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.
What you can see for any monitored lake or river
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.
Alerts that watch the water for you
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.
Where Nibi comes from
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.
Coverage
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.
Free forever, funded by members
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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