Tampa–St. Petersburg (Sarasota)

WTTA Weather Forecast Accuracy Scoreboard

At Tampa, Tampa International Airport (KTPA), the National Weather Service next-day high has been off by 1.5°F on average over 224 days. GFS and NAM has the smallest miss on highs among the models, off by 1.9°F on average.

Tampa–St. Petersburg (Sarasota) weather forecast accuracy

WTTA is a television station in Tampa–St. Petersburg (Sarasota). Forecast Scoreboard does not grade television stations. The numbers below are the National Weather Service and the models at Tampa, Tampa International Airport (KTPA).

National Weather Service at Tampa, Tampa International Airport

Next-day forecast at KTPA, the market airport. The airport is in the NWS Tampa Bay office (NWS TBW).

LeadHow far ahead. Day 1 is the next calendar day. Days 6 and 7 are shown and are not in the headline score. The technical name is lead. Matched daysDays scored. How many climate days this number is averaged over. The technical name is matched days. High MAEAverage miss on daily highs, in degrees F. Mean absolute error. Lower is better. High biasAverage of the signed misses on daily highs, in degrees F. Positive means the forecast was too warm. The technical name is high bias. Low MAEAverage miss on daily lows, in degrees F. Lower is better. The low is the climate-day minimum, which is not always the overnight low. Low biasAverage of the signed misses on daily lows, in degrees F. Positive means the forecast was too warm. The technical name is low bias. Brier scoreRain probability score. Average of (forecast probability minus what happened) squared. Lower is better. The technical name is the Brier score.
Day 1 224 1.5° 0.1° 2.0° 0.7° 0.151
Day 2 223 1.5° 0.1° 1.9° 0.7° 0.165
Day 3 222 1.7° 0.1° 2.0° 0.5° 0.159
Day 4 221 1.8° 0.1° 2.1° 0.5° 0.173
Day 5 220 2.0° 0.1° 2.3° 0.5° 0.191
Day 6 extended 219 2.0° 0.1° 4.1° -1.8° 0.191
Day 7 extended 38 3.3° -1.2° — — 0.138

Bias is forecast minus observed. Positive means the forecast was too warm. These are the same National Weather Service numbers as the market page.

Top models at KTPA

Same airport, same next-day scores as the market page.

Place on this list. 1 was closest to the weather that happened. A tie shares this number, and the next place skips ahead. Early read until the longer day count, then proven. The weather model. Models are scored on their own against the National Weather Service. SkillBeats the National Weather Service when the miss is smaller on the same days. 0 is the same, positive is better, negative is worse. The technical name is skill: 1 minus this forecast's loss divided by the Weather Service loss. High errorAverage miss on daily highs, in degrees F. Lower is better. Matched daysDays scored. How many climate days this number is averaged over. The technical name is matched days. StatusEarly read means at least 90 days scored. Proven means 180 or more. Still collecting means it is too soon to rank. The technical names are provisional and established.
1 NAM Behind the NWS by 35% 1.9° 216 Proven
2 GFS Behind the NWS by 50% 1.9° 224 Proven
3 ECMWF AIFS Behind the NWS by 65% 2.0° 223 Proven
4 HRRR Behind the NWS by 68% 2.8° 223 Proven
5 ECMWF IFS Behind the NWS by 79% 2.1° 223 Proven

The bar is the mean high-temperature error. A shorter bar is closer to the observed high. Skill above zero beats the National Weather Service on the same days.

All model scores for Tampa–St. Petersburg (Sarasota)

National Weather Service office: NWS Tampa Bay forecast accuracy (NWS TBW).

Weather models scored against the National Weather Service.

A meteorologist is scored only after they opt in, on public forecasts they post or share. A name on a staff page is not a score.

Other stations in Tampa–St. Petersburg (Sarasota)

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Next-day highs at Tampa, Tampa International Airport (KTPA). The day count is the scored days on file. A rank starts at 90 days.

WTTA, Tampa–St. Petersburg market next-day highs at Tampa, Tampa International Airport (KTPA). NWS next-day high off by 1.5°F. NAM ranks 1st among the models over 224 days since March 31, 2026. Forecast Scoreboard.