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Which model is most accurate in Pontevedra?

In Pontevedra, the Atlas Forecast, the model median and ECMWF IFS do about equally well on tomorrow's temperature (the first has an average error of 1.0 °C): the difference between them could be chance.

Last 30 days (11 October to 9 November) · 4 stations from AEMET

Temperature

For today (0–24 h)

In Pontevedra, the Atlas Forecast is the most accurate this month: its average error on today's temperature is 0.9 °C, and its lead over the second is not down to chance.

  1. 1Atlas Forecast (estimated)0.9 °C
  2. 2Model median1.0 °C
  3. 3ARPEGE (Météo-France)1.1 °C
  4. 4Google AI (WeatherNext 2) (estimated)1.1 °C
  5. 5ECMWF IFS1.1 °C
  6. 6ICON1.1 °C
  7. 7ECMWF AIFS (AI)1.3 °C
  8. 8UKMO (Met Office)1.3 °C
  9. 9GFS1.4 °C

4 stations · 30 days

For tomorrow (24–48 h)

In Pontevedra, the Atlas Forecast, the model median and ECMWF IFS do about equally well on tomorrow's temperature (the first has an average error of 1.0 °C): the difference between them could be chance.

  1. 1Atlas Forecast (estimated)1.0 °C
  2. 2Model median1.1 °C
  3. 3ECMWF IFS1.2 °C
  4. 4ICON1.2 °C
  5. 5Google AI (WeatherNext 2) (estimated)1.2 °C
  6. 6ARPEGE (Météo-France)1.3 °C
  7. 7ECMWF AIFS (AI)1.3 °C
  8. 8GFS1.5 °C
  9. 9UKMO (Met Office)1.5 °C

4 stations · 30 days

Average error in the temperature for each hour, at the stations in the area. The shorter the bar, the better. Highlighted: the leaders, where the difference between them cannot be put down to chance.

Wind

For today (0–24 h)

In Pontevedra, the Atlas Forecast is the most accurate this month: its average error on today's wind is 3.0 km/h, and its lead over the second is not down to chance.

  1. 1Atlas Forecast (estimated)3.0 km/h
  2. 2ICON3.3 km/h
  3. 3GFS3.3 km/h
  4. 4Model median3.4 km/h
  5. 5UKMO (Met Office)3.6 km/h
  6. 6ECMWF IFS4.6 km/h
  7. 7ECMWF AIFS (AI)5.2 km/h

2 stations · 30 days

For tomorrow (24–48 h)

In Pontevedra, the Atlas Forecast, GFS and ICON do about equally well on tomorrow's wind (the first has an average error of 3.3 km/h): the difference between them could be chance.

  1. 1Atlas Forecast (estimated)3.3 km/h
  2. 2GFS3.3 km/h
  3. 3ICON3.5 km/h
  4. 4Model median3.6 km/h
  5. 5UKMO (Met Office)3.9 km/h
  6. 6ECMWF IFS4.7 km/h
  7. 7ECMWF AIFS (AI)6.1 km/h

2 stations · 30 days

Rain

For today (0–24 h)

In Pontevedra, no model stands out this month on today's rain: the differences could be chance. The one with the smallest error, GFS, is off by 1.1 l/m² per day on average.

  1. 1GFS1.1 l/m² per day
  2. 2ECMWF AIFS (AI)1.1 l/m² per day
  3. 3Model median1.2 l/m² per day
  4. 4ICON1.4 l/m² per day
  5. 5ECMWF IFS1.4 l/m² per day
  6. 6UKMO (Met Office)1.4 l/m² per day
  7. 7ARPEGE (Météo-France)1.7 l/m² per day

4 stations · 30 days

For tomorrow (24–48 h)

In Pontevedra, no model stands out this month on tomorrow's rain: the differences could be chance. The one with the smallest error, ECMWF AIFS, is off by 1.1 l/m² per day on average.

  1. 1ECMWF AIFS (AI)1.1 l/m² per day
  2. 2Model median1.1 l/m² per day
  3. 3GFS1.2 l/m² per day
  4. 4UKMO (Met Office)1.3 l/m² per day
  5. 5ICON1.3 l/m² per day
  6. 6ECMWF IFS1.5 l/m² per day
  7. 7ARPEGE (Météo-France)1.8 l/m² per day

4 stations · 30 days

Error in the total rain for each day, in litres per square metre.

The Atlas Forecast is active here: its error is an estimate based on the days when it could be verified, compared with the model median over the same hours.

Google's AI (WeatherNext 2) is now in the league. As we only compare it every 6 hours (that is how often it runs) and measure it at one station per province, its error is an estimate: the model median's error plus how much more or less Google's AI misses than the median at those hours.

See Vigo in the dashboard

Weather in Pontevedra

All towns in Pontevedra · The league in the other provinces

How it is calculated

We compare what each model had forecast for the same day (0–24 h) and for the next day (24–48 h) with what the Meteocat (in Catalonia) and AEMET weather stations measured over the last 30 days. They all compete over the same hours. Being first is not enough to win: the difference has to pass a day-by-day statistical test (otherwise it could be chance) and at least 14 days are needed.

Winning this month does not mean winning every month: every model has its good and bad days. More detail in Accuracy and, for your exact spot, in «Which model is right here?» in the dashboard.