All comparisons
Precip vs NOAA

NOAA climate data is station-based. Precip is any pin.

Climate normals tell you what is typical at the nearest official station. Precip tells you what fell at the spot you actually care about.

Last updated August 18, 2026

NOAA climate data (normals, Climate Data Online) is station-based. Some operational NOAA precip analyses are grids (~4 km). Precip is a 1 km map at any coordinate.
Feature NOAA climate / precip products Precip
Where you look Nearest official station (airport, COOP, etc.) — not an arbitrary pin Any spot on the map: field, job site, trail, or yard
Primary question What is typical at this station? What did the model forecast? How much actually fell at this pin?
CONUS precip resolution Station point, climate division, or ~4 km Stage IV / AHPS-class grids 1 km hourly and daily analysis (~0.5 mi² / 160 acres)
History source Climate normals, station records, or forecast archives (e.g. HRRR) Radar + gauge observations, refined as late gauge data arrives
Skill vs HRRR (published) HRRR is a forecast model, not an observation of what fell 60% more accurate hourly totals; 275% better rainfall detection
Latency for recent rain Varies by product; many climate pages update daily or slower Hourly analysis typically 15 minutes to 6 hours
How you use it Climate portals, station lookup, GIS downloads, DIY analysis iOS / Android / web app, saved locations, alerts, tiles, REST API

Station data vs any pin

NOAA climate data is built around official observing sites: airports, COOP stations, and similar. You look up the nearest station. You cannot tap an arbitrary field, construction site, or backyard. If the closest station is across town — or on the other side of a ridge — that is still the number the climate page reports.

Precip is a map. Drop a pin anywhere in coverage and you get observed rainfall estimates for that coordinate, not the airport 10+ miles away. That is the difference between a station network and a hyperlocal observation product.

When NOAA climate data is the right tool

Use NOAA climate normals and related climatology when you need a 30-year typical year at an official station, official climate monitoring, or a dataset that must be the government record. Those products are excellent at that job. They are not a virtual rain gauge.

When Precip is the right tool

Use Precip when the question is operational and the place is not a weather station: how much rain in the last 24 hours on this field, did this job site get the storm the airport missed, is the subgrade too wet to pour. That requires an observation at a coordinate, not the nearest official site’s climate average.

Coverage, resolution, and latency are listed on data availability and explained on our precipitation data.

Resolution and latency

Precip’s US rainfall analysis is about 1 km — roughly half a square mile, or 160 acres per cell. Many free operational precipitation analyses people pull from government sources are still near 4 km. Climate-division maps and station pages are coarser still. If two farms in the same county got different storms — and neither has a NOAA station — a climate page will not show it.

Observed history vs forecast-as-history

A common failure mode in weather apps is treating the last model run as yesterday’s rain. NOAA’s High Resolution Rapid Refresh (HRRR) is a forecast. Precip measures rain as it happens with radar and gauges, then keeps improving the hour as late station reports arrive.

Versus HRRR, Precip’s hourly totals are 60% more accurate and 275% better at rainfall detection, benchmarked against independent gauge observations in 2023. That is the claim on our precipitation data and the homepage — not a claim that Precip replaces NOAA science.

More on that distinction: observed rainfall vs forecast history.

App and API vs DIY climate portals

NOAA publishes extraordinary open data at stations and in coarse grids. Turning that into a pin on a field still takes GIS, storage, and a UI — and the station still is not your field. Precip is that product: tap anywhere, saved locations, maps, alerts, exports, and point and tile APIs.

Frequently asked questions

Is NOAA climate data station-based?

Yes. NOAA climate normals and Climate Data Online records come from official stations (airports, COOP sites, and similar). You cannot drop a pin on an arbitrary field or job site. Precip is a 1 km map: tap any coordinate.

Is Precip better than NOAA?

For different jobs. NOAA climate products are the right source for long-term station averages and official climate monitoring. Precip is the right source when you need observed rainfall, snow, and soil at a pin that is not a weather station.

Does Precip use NOAA data?

Yes. Precip fuses NOAA NEXRAD radar, quality-controlled gauges, and related analyses, then publishes a 1 km observation product. It is not a rebrand of a NOAA forecast and is not a certified NOAA vendor.

Why isn’t a NOAA forecast good enough for rainfall history?

Many weather apps archive the last forecast as “history.” Precip measures what fell with radar and gauges. Versus NOAA HRRR, Precip’s hourly totals are 60% more accurate and 275% better at rainfall detection in a 2023 gauge-validated study.

What is the resolution difference?

Precip’s CONUS rainfall product is about 1 km (roughly 160 acres) at any pin. NOAA climate pages are the nearest station, which can be miles away. Operational NOAA Stage IV / AHPS-style precipitation grids are typically about 4 km.

When should I use NOAA climate normals instead of Precip?

Use NOAA normals when you need a 30-year typical climate at an official station, official climate monitoring, or research that requires the government climatology product. Use Precip when you need yesterday’s storm total at an address that does not have a gauge.

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