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Which model is most accurate in Las Palmas?

In Las Palmas, ICON and the model median 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) · 10 stations from AEMET

Temperature

For today (0–24 h)

In Las Palmas, ICON and the model median do about equally well on today's temperature (the first has an average error of 0.9 °C): the difference between them could be chance.

  1. 1ICON0.9 °C
  2. 2Model median1.0 °C
  3. 3ARPEGE (Météo-France)1.2 °C
  4. 4GFS1.2 °C
  5. 5ECMWF IFS1.3 °C
  6. 6ECMWF AIFS (AI)1.4 °C
  7. 7UKMO (Met Office)1.6 °C
  8. 8Google AI (WeatherNext 2) (estimated)3.8 °C

10 stations · 30 days

For tomorrow (24–48 h)

In Las Palmas, ICON and the model median 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. 1ICON1.0 °C
  2. 2Model median1.1 °C
  3. 3GFS1.2 °C
  4. 4ARPEGE (Météo-France)1.3 °C
  5. 5ECMWF IFS1.5 °C
  6. 6ECMWF AIFS (AI)1.6 °C
  7. 7UKMO (Met Office)1.7 °C
  8. 8Google AI (WeatherNext 2) (estimated)3.6 °C

10 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 Las Palmas, ICON is the most accurate this month: its average error on today's wind is 4.8 km/h, and its lead over the second is not down to chance.

  1. 1ICON4.8 km/h
  2. 2Model median5.2 km/h
  3. 3UKMO (Met Office)5.8 km/h
  4. 4ECMWF IFS5.9 km/h
  5. 5GFS5.9 km/h
  6. 6ECMWF AIFS (AI)6.0 km/h

10 stations · 30 days

For tomorrow (24–48 h)

In Las Palmas, ICON is the most accurate this month: its average error on tomorrow's wind is 5.0 km/h, and its lead over the second is not down to chance.

  1. 1ICON5.0 km/h
  2. 2Model median5.2 km/h
  3. 3UKMO (Met Office)5.9 km/h
  4. 4ECMWF IFS6.1 km/h
  5. 5ECMWF AIFS (AI)6.1 km/h
  6. 6GFS6.1 km/h

10 stations · 30 days

Rain

For today (0–24 h)

In Las Palmas, the model median is the most accurate this month: its average error on today's rain is 0.9 l/m² per day, and its lead over the second is not down to chance.

  1. 1Model median0.9 l/m² per day
  2. 2ECMWF AIFS (AI)1.0 l/m² per day
  3. 3ICON1.0 l/m² per day
  4. 4ARPEGE (Météo-France)1.0 l/m² per day
  5. 5UKMO (Met Office)1.0 l/m² per day
  6. 6ECMWF IFS1.2 l/m² per day
  7. 7GFS1.2 l/m² per day

9 stations · 30 days

For tomorrow (24–48 h)

In Las Palmas, no model stands out this month on tomorrow's rain: the differences could be chance. The one with the smallest error, the model median, is off by 1.0 l/m² per day on average.

  1. 1Model median1.0 l/m² per day
  2. 2ICON1.0 l/m² per day
  3. 3UKMO (Met Office)1.0 l/m² per day
  4. 4ARPEGE (Météo-France)1.1 l/m² per day
  5. 5ECMWF AIFS (AI)1.1 l/m² per day
  6. 6GFS1.2 l/m² per day
  7. 7ECMWF IFS1.2 l/m² per day

9 stations · 30 days

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

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 Las Palmas de Gran Canaria in the dashboard

Weather in Las Palmas

All towns in Las Palmas · 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.