A Quantitative Precipitation Forecast (QPF) is a forecast of how much precipitation will fall over a given area during a set period of time. Instead of only the chance that rain or snow occurs, it states an amount, which in the United States is usually given in inches.
How WPC issues it
The Weather Prediction Center (WPC) issues the national QPF. For Days 1, 2 and 3, forecasters manually create amounts for 6-hour periods plus a 24-hour total, and for Days 4 to 7 they create 24-hour amounts.
WPC also publishes multi-day totals for Days 1 to 3, Days 1 to 5 and Days 1 to 7. Those longer totals are useful for planning but hide the timing of individual bursts of rain.
What a value means
WPC defines its QPF as the expected areal average, in inches, on a 20 by 20 km grid, about 12 by 12 miles. A number on the map describes that box, not the rain gauge in one backyard.
One number or a range
A standard QPF map is deterministic, giving one best-estimate amount for each place. WPC's probabilistic QPF has added uncertainty by building a probability distribution around its own 6-hour QPF, using the spread of an ensemble of model forecasts.
Those products show either the chance that 6- or 24-hour totals will equal or exceed a threshold, or the amount tied to a given percentile. They cover Days 1 through 3. A September 2026 National Weather Service (NWS) notice set the Probabilistic Precipitation Portal, built on National Blend of Models ensemble information, to become their operational home on or about 10/01/26, so the method behind them may change.
Where it goes and where it struggles
QPF is built into river forecasts, where it helps predict flood potential and rises to critical river levels. After the event, forecasters compare it with quantitative precipitation estimates of what actually fell.
Thunderstorm rain is the hardest to pin down, because the heaviest totals often fall in narrow swaths. A modest area average can include a much wetter spot under slow or repeating storms, so read QPF together with flood outlooks rather than as a cap.
