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Which model is most accurate in Santa Cruz de Tenerife?

In Santa Cruz de Tenerife, the Atlas Forecast and ICON do about equally well on tomorrow's temperature (the first has an average error of 1.2 °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 Santa Cruz de Tenerife, the Atlas Forecast and ICON do about equally well on today's temperature (the first has an average error of 1.2 °C): the difference between them could be chance.

  1. 1Atlas Forecast (estimated)1.2 °C
  2. 2ICON1.2 °C
  3. 3ARPEGE (Météo-France)1.4 °C
  4. 4Model median1.4 °C
  5. 5ECMWF IFS1.7 °C
  6. 6UKMO (Met Office)1.7 °C
  7. 7ECMWF AIFS (AI)1.8 °C
  8. 8GFS1.9 °C
  9. 9Google AI (WeatherNext 2) (estimated)4.3 °C

10 stations · 30 days

For tomorrow (24–48 h)

In Santa Cruz de Tenerife, the Atlas Forecast and ICON do about equally well on tomorrow's temperature (the first has an average error of 1.2 °C): the difference between them could be chance.

  1. 1Atlas Forecast (estimated)1.2 °C
  2. 2ICON1.3 °C
  3. 3Model median1.4 °C
  4. 4ARPEGE (Météo-France)1.4 °C
  5. 5ECMWF IFS1.7 °C
  6. 6UKMO (Met Office)1.8 °C
  7. 7GFS1.8 °C
  8. 8ECMWF AIFS (AI)2.0 °C
  9. 9Google AI (WeatherNext 2) (estimated)4.4 °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 Santa Cruz de Tenerife, the Atlas Forecast is the most accurate this month: its average error on today's wind is 5.8 km/h, and its lead over the second is not down to chance.

  1. 1Atlas Forecast (estimated)5.8 km/h
  2. 2ICON6.5 km/h
  3. 3Model median6.6 km/h
  4. 4UKMO (Met Office)6.9 km/h
  5. 5ECMWF IFS7.0 km/h
  6. 6ECMWF AIFS (AI)7.3 km/h
  7. 7GFS8.5 km/h

10 stations · 30 days

For tomorrow (24–48 h)

In Santa Cruz de Tenerife, the Atlas Forecast is the most accurate this month: its average error on tomorrow's wind is 5.9 km/h, and its lead over the second is not down to chance.

  1. 1Atlas Forecast (estimated)5.9 km/h
  2. 2ICON6.6 km/h
  3. 3Model median6.7 km/h
  4. 4UKMO (Met Office)7.0 km/h
  5. 5ECMWF IFS7.2 km/h
  6. 6ECMWF AIFS (AI)7.2 km/h
  7. 7GFS8.6 km/h

10 stations · 30 days

Rain

For today (0–24 h)

In Santa Cruz de Tenerife, the model median and ICON do about equally well on today's rain (the first has an average error of 2.5 l/m² per day): the difference between them could be chance.

  1. 1Model median2.5 l/m² per day
  2. 2ICON2.6 l/m² per day
  3. 3ECMWF AIFS (AI)2.8 l/m² per day
  4. 4UKMO (Met Office)2.8 l/m² per day
  5. 5ECMWF IFS3.0 l/m² per day
  6. 6ARPEGE (Météo-France)3.1 l/m² per day
  7. 7GFS3.1 l/m² per day

10 stations · 30 days

For tomorrow (24–48 h)

In Santa Cruz de Tenerife, the model median, ICON, ECMWF AIFS and Météo-France's ARPEGE do about equally well on tomorrow's rain (the first has an average error of 2.6 l/m² per day): the difference between them could be chance.

  1. 1Model median2.6 l/m² per day
  2. 2ICON2.8 l/m² per day
  3. 3ECMWF AIFS (AI)2.8 l/m² per day
  4. 4ARPEGE (Météo-France)3.0 l/m² per day
  5. 5ECMWF IFS3.3 l/m² per day
  6. 6GFS3.3 l/m² per day
  7. 7UKMO (Met Office)3.5 l/m² per day

10 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 Santa Cruz de Tenerife in the dashboard

Weather in Santa Cruz de Tenerife

All towns in Santa Cruz de Tenerife · 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.