Almond (Tayside) at Auchnafree Water Level
Live river level, flow, historical records and forecast for Almond (Tayside) at Auchnafree in Scotland, United Kingdom, built from official government gauge data.
- Location Scotland, United Kingdom
- Primary gauge sepa-14952 (Water Survey of Canada)
About Almond (Tayside) at Auchnafree
Almond (Tayside) at Auchnafree is a gauged river in Scotland.
The river
The station drains 54.4 km2 (21 sq mi) above Auchnafree. That is the area feeding this reach, so rises and falls here reflect what falls on that upstream ground, not a wider basin.
The record runs for more than 31 years, which is long enough to show a clear seasonal pattern. The highest typical month is November, at 0.55 m (1.81 ft), while the lowest typical month is July, at 0.33 m (1.09 ft). For a bank path, a ford, or a small intake, that is the stretch of level change to expect through the year.
The reach has also set a record high of 1.61 m (5.28 ft) in February 2014 and a record low of -0.43 m (-1.41 ft) in June 2009. Those two marks show the range this river has already reached at the gauge, which matters if you are watching for high water near the river edge or a very low summer stage.
What the numbers say
The typical annual swing is 21.8 cm (8.6 in). On a small river like this, that is enough to change wading depth, alter where fish hold, and shift the margin between a useful lift and a nuisance one at a riverside access point.
The seasonal note here fits a rain-fed British river: the wetter part of the year tends to sit higher, while the warm-season low is lower. The monthly pattern in the record matches that broad rhythm, with November above July on the usual cycle.
Reading the hero number
The hero number on the page compares today’s reading with the median for this calendar day in the station record. That is more useful than raw elevation because it tells you whether the river is running high or low for the date, not just where it sits on the staff gauge. Over more than 31 years of record at SEPA, that day-by-day comparison is the better guide for repeat visitors, anglers, and anyone watching access or water level changes.
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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