Hyper-local precipitation data

The best hyper-local precipitation data

Precip isn't your typical weather app. We use high-resolution radar to drive better accuracy and precision. We've got the data to prove it.

Observe Radar See the storm in motion
Predict the Storm Forecast path and intensity
Measure What Fell Record calibrated observations

Better observations

Precip starts with what the sky is doing right now

Instead of just relying on forecasts, Precip uses high-resolution radar and quality-controlled gauge data to observe precipitation. We continually refine our data to be the most accurate and useful source for monitoring rainfall, snow, and other types of precipitation.

Accumulated precipitation for the same time period as estimated by ERA5-Land (left) and Precip (right).

Minute-by-minute predictions

Better inputs make the best nowcast

Precip's in-house nowcast starts from a high-resolution view of the storm as it is happening, then tracks where precipitation will move through the next hour. It is built to keep you from getting wet unexpectedly.

1 kmspatial resolution
5 minforecast steps
60 minforecast horizon
See how it scores against Apple, Google, and others

Nowcast benchmarks

Gauges on the ground prove it's the best

We tested the top nowcasts (short-term minute-by-minute forecasts) against independent rain gauges and NOAA radar across the US. Precip comes out on top.

92% more accurate than Google Weather for medium to heavy rain
121% more accurate than Apple Weather for medium to heavy rain
37/38 head-to-head tests won against Google, Apple, Tomorrow.io and Rainbow.ai
Accuracy for the next hour

Better than the weather app that came with your phone.

Next-hour forecasts checked against 110 research-grade U.S. Climate Reference Network rain gauges.

Any rain

  • Precip .549
  • Google Weather .478
  • Apple Weather .388

Medium to heavy rain, over 0.31 in (8 mm)

  • Precip .309
  • Google Weather .161
  • Apple Weather .140
Accuracy score (critical success index) · 49,991 station-hours · Aug 31, 2026 – Oct 12, 2026
Accuracy by lead time

Ahead of the weather industry at every minute of the hour.

Whether it will rain in each 5 minutes of the next hour, checked against NOAA radar at the gauge sites.

Precip vs Google Weather and Apple Weather

.3 .4 .5 .6 .7 .8 .9 10 min 20 min 30 min 40 min 50 min 60 min Precip Google Weather Apple Weather
  • Precip .827 → .606
  • Google Weather .564 → .515
  • Apple Weather .574 → .390

Precip vs Tomorrow.io and Rainbow.ai

.3 .4 .5 .6 .7 .8 .9 10 min 20 min 30 min 40 min 50 min 60 min Precip Tomorrow.io Rainbow.ai
  • Precip .843 → .609
  • Tomorrow.io .601 → .491
  • Rainbow.ai .732 → .580
Accuracy score (critical success index) for any rain, 5 to 60 minutes ahead · Aug 31, 2026 – Oct 12, 2026 and Sep 28, 2026 – Oct 12, 2026
Real world results

Apple cries wolf. Google lets you get drenched.

The real world experience of just using what's built into your phone

False alarms Rain was called, none came

  • Apple Weather 3,841
  • Precip 1,154
  • Google Weather 625

Apple Weather had false alarms more than three times as often as Precip.

Missed rain Rain came with no warning

  • Google Weather 1,235
  • Precip 692
  • Apple Weather 307

Google Weather missed 78% more rain events than Precip.

A rain event is an hour with measurable rain at the gauge · 49,991 station-hours · Aug 31, 2026 – Oct 12, 2026

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How the measured record is built

Why Precip has the best historical precipitation data

Radar and gauges

The Precip system uses observational data to track what actually happened, including 180 Doppler radar stations and a quality-controlled network of rain measurement stations.

Aligned in time and space

Raw data gets processed through a series of scientific models that convert raw information into easy to understand precipitation amounts. Part of that process includes aligning data from multiple sources into the correct hourly time periods for reliable analysis.

A refined ensemble

The final stage creates a proprietary ensemble of the various model outputs to deliver the highest quality blend of low latency and highly refined data, correctly projected for geospatial analysis.

Coverage and resolution

We dial up the resolution

Most forecasts run at course resolution, often 5-10km. Precip runs at 1km resolution, with 5 minute updates.

Our rainfall measurements in the US quantify rainfall for an area of roughly one half mile squared, or 160 acres. In Canada it is approximately 1 square mile or 250 hectares. Rainfall can vary even within an area that small, so our models provide an average value for the area represented.

See full data availability & specifications
1 km United States

Live rate, nowcast, and measured precipitation

2.5 km Canada

Measured precipitation resolution

Historical precipitation benchmark

Why observations beat forecasts.

Many sources that show historical rain totals only show the most final forecast amount before the actual rain could be measured. Precip uses radar and ground-truth observations as rain happens to create the most accurate possible rainfall totals.

60% more accurate than the NOAA HRRR analysis
275% better rainfall detection (Critical Success Index)

Precip's estimates are the best available, but no rainfall estimate is perfect. Rain gauges themselves can provide inaccurate measurements. For example, wind turbulence can cause an average error rate of 2% to 10% when using gauges to measure rainfall. Read why measuring rain with gauges is hard.

The figures below are excerpts from a 2023 benchmarking study that compared Precip to the High Resolution Rapid Refresh forecast model output and the Integrated Surface Database ground observations. The report analyzes rainfall events at various accumulation thresholds against the corresponding gauge data.

Rainfall Mean Absolute Error benchmark
Mean Absolute Error MAE measures the average magnitude of errors in a set of estimates.
Rainfall Critical Success Index benchmark
Critical Success Index CSI measures correct events against the total of correct events, false alarms, and misses.

Data provenance

Third-party data sources

Precip combines our own models and processing with authoritative third-party observations and forecast data.

  • NOAA Doppler radar and ground observation data
  • Open-Meteo Global multi-day forecast data
  • Rainbow AI Global nowcast coverage outside Precip's radar domain

Know what's next. See what actually happened.

Put precision precipitation in your pocket.

Get Precip free on iPhone, Android, and the web.

The precision weather app Know when rain starts and stops.