San Gregorio C A San Gregorio CA Water Level

Live river level, flow, historical records and forecast for San Gregorio C A San Gregorio CA in CA, United States, built from official government gauge data.

About San Gregorio C A San Gregorio CA

San Gregorio Creek is in the San Francisco Coastal South watershed, California.

What the record shows

The record on this creek runs through 50 years.

The highest level in that span was 14.08 ft (4.29 m) in December 2022. The lowest was 1.67 ft (0.51 m) in September 2014. That is the range a dock, pump intake, or bank-side crossing has had to live with here.

The seasonal pattern is narrower than the record range. March is the typical high month at 4.58 ft (1.4 m), while October is the typical low month at 3.42 ft (1.04 m). The typical annual swing is 13.9 in (35.3 cm). For anyone drawing water or watching access near the channel, that means the creek usually moves within a modest band through the year, even though the long record includes much larger extremes.

No fastest 24-hour rise is listed in the facts, so there is no published warning-time figure to quote here.

The watershed

The station drains 50.9 sq mi (132 km2) upstream of the gauge. That is the catchment above this site, not the full watershed on a map.

For this part of coastal California, the broad seasonal rhythm is winter storm response and a long dry summer. The record here fits that pattern in a general way: higher water can arrive in the wet season, while the lower months sit in the dry part of the year. If you farm near the channel, irrigate from it, or move equipment across low spots, the practical issue is not just the extremes but the regular drop from late-wet-season levels into the autumn low.

Reading the hero number

The number on this page is most useful when you compare today’s reading with the median for this calendar day across the station record. That puts the creek against its own seasonal baseline, instead of treating every foot of stage as if it meant the same thing in March and October.

That matters because raw elevation alone does not tell you whether the creek is running high for the season, low for the season, or close to normal. A calendar-day median does.

This station is a USGS site, and the record spans about 50 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.

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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.

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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.

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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.

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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.

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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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