Water changes.
We intend to notice.
WaterCoyote is being built to collect, organize and preserve useful public water information — helping turn scattered measurements into understandable trends.
Interactive: Lake Powell: 10 years of changing water levels.
Drag the timeline to move through the past decade. The water level, selected date and reservoir elevation change together as you explore.
Water tells a story in many different ways.
No single measurement explains water conditions. The picture emerges when supply, quality, weather, groundwater and infrastructure are viewed together — and followed over time.
Water Supply
Reservoir levels, storage, river flow, withdrawals and changing demand.
Water Quality
Public measurements, contaminants, advisories and indicators of changing water conditions.
Drought
Dry conditions, rainfall deficits and the pressure they place on available water.
Rivers & Streams
Flow rates, gauges, seasonal changes and unusual movement in waterways.
Groundwater
Aquifers and wells quietly provide water beneath the surface to communities and agriculture.
Long-Term Trends
Today's number matters. Years of numbers can tell us much more.
Today's reading is useful. History makes it valuable.
Water information is often published as individual measurements: today's reservoir level, today's drought map, today's river flow or today's water-quality result.
WaterCoyote's long-term objective is to preserve those observations so changes become easier to recognize.
Where is water improving? Where is it declining? What is normal for this time of year? And when does something stop looking normal?
Some datasets become more valuable simply because someone kept them.
Public water information exists in thousands of places. Some of it is easy to find today and difficult to reconstruct years later.
Accumulated history can help reveal seasonal patterns, unusual events, persistent deterioration, recovery and long-term change.
Observant. Adaptable. Persistent.
A coyote survives by paying attention to its surroundings. It notices change, adapts to conditions and keeps moving.
WaterCoyote intends to do something similar with water data: keep watching, keep collecting and notice when the landscape begins to change.