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Which model is most accurate in Córdoba?

In Córdoba, the Atlas Forecast is the most accurate this month: its average error on tomorrow's temperature is 1.1 °C, and its lead over the second is not down to chance.

Last 30 days (11 October to 9 November) · 8 stations from AEMET

Temperature

For today (0–24 h)

In Córdoba, the Atlas Forecast is the most accurate this month: its average error on today's temperature is 1.1 °C, and its lead over the second is not down to chance.

  1. 1Atlas Forecast (estimated)1.1 °C
  2. 2ARPEGE (Météo-France)1.3 °C
  3. 3Model median1.4 °C
  4. 4ICON1.4 °C
  5. 5UKMO (Met Office)1.7 °C
  6. 6ECMWF IFS1.7 °C
  7. 7ECMWF AIFS (AI)1.7 °C
  8. 8Google AI (WeatherNext 2) (estimated)1.9 °C
  9. 9GFS2.0 °C

8 stations · 30 days

For tomorrow (24–48 h)

In Córdoba, the Atlas Forecast is the most accurate this month: its average error on tomorrow's temperature is 1.1 °C, and its lead over the second is not down to chance.

  1. 1Atlas Forecast (estimated)1.1 °C
  2. 2ARPEGE (Météo-France)1.4 °C
  3. 3Model median1.4 °C
  4. 4ICON1.4 °C
  5. 5ECMWF AIFS (AI)1.7 °C
  6. 6Google AI (WeatherNext 2) (estimated)1.7 °C
  7. 7ECMWF IFS1.8 °C
  8. 8UKMO (Met Office)1.8 °C
  9. 9GFS2.1 °C

8 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 Córdoba, the Atlas Forecast is the most accurate this month: its average error on today's wind is 2.9 km/h, and its lead over the second is not down to chance.

  1. 1Atlas Forecast (estimated)2.9 km/h
  2. 2Model median3.0 km/h
  3. 3ICON3.0 km/h
  4. 4UKMO (Met Office)3.2 km/h
  5. 5GFS3.2 km/h
  6. 6ECMWF IFS3.4 km/h
  7. 7ECMWF AIFS (AI)3.5 km/h

8 stations · 30 days

For tomorrow (24–48 h)

In Córdoba, the Atlas Forecast is the most accurate this month: its average error on tomorrow's wind is 2.9 km/h, and its lead over the second is not down to chance.

  1. 1Atlas Forecast (estimated)2.9 km/h
  2. 2Model median3.0 km/h
  3. 3ICON3.1 km/h
  4. 4UKMO (Met Office)3.2 km/h
  5. 5GFS3.4 km/h
  6. 6ECMWF IFS3.4 km/h
  7. 7ECMWF AIFS (AI)3.5 km/h

8 stations · 30 days

Rain

For today (0–24 h)

In Córdoba, no model stands out this month on today's rain: the differences could be chance. The one with the smallest error, Météo-France's ARPEGE, is off by 0.8 l/m² per day on average.

  1. 1ARPEGE (Météo-France)0.8 l/m² per day
  2. 2ECMWF IFS0.9 l/m² per day
  3. 3Model median0.9 l/m² per day
  4. 4ECMWF AIFS (AI)0.9 l/m² per day
  5. 5UKMO (Met Office)1.0 l/m² per day
  6. 6GFS1.1 l/m² per day
  7. 7ICON1.2 l/m² per day

8 stations · 30 days

For tomorrow (24–48 h)

In Córdoba, no model stands out this month on tomorrow's rain: the differences could be chance. The one with the smallest error, ECMWF IFS, is off by 0.9 l/m² per day on average.

  1. 1ECMWF IFS0.9 l/m² per day
  2. 2ECMWF AIFS (AI)1.0 l/m² per day
  3. 3Model median1.0 l/m² per day
  4. 4ICON1.0 l/m² per day
  5. 5UKMO (Met Office)1.1 l/m² per day
  6. 6ARPEGE (Météo-France)1.1 l/m² per day
  7. 7GFS1.3 l/m² per day

8 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 Córdoba in the dashboard

Weather in Córdoba

All towns in Córdoba · 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.