MADRID, 6 Dic. (EUROPA PRESS) –
The extraordinary global temperatures in November, which have had two days 2ºC above the pre-industrial temperature, make 2023 the warmest year since records exist.
This is the main conclusion of the latest monthly bulletin from the Copernicus Climate Change Service (C3S), which reports on the variations recorded in surface air temperature, sea ice coverage and hydrological variables on a global scale.
November 2023 was the warmest November on record worldwide, with an average surface air temperature of 14.22°C, 0.85°C above the 1991-2020 average for that month and 0.32°C above the temperature of November 2020, which had been the warmest November to date.
The global temperature anomaly in November 2023 was equal to that of October 2023, and only lower than that of September 2023 (0.93°C). Likewise, last month was 1.75ºC warmer than the estimated average for the month of November from 1850-1900, the pre-industrial reference period.
Likewise, according to the Copernicus bulletin, so far this year (January to November) the average global temperature in 2023 has been the highest since there are records: 1.46ºC above the pre-industrial era average and 0.13ºC higher than the equivalent eleven-month period of 2016, the warmest calendar year recorded so far.
The average sea surface temperature for November 2023 between coordinates 60°S-60°N was the highest on record for November, 0.25°C warmer than the second warmest November, 2015.
Furthermore, the El Niño phenomenon continued in the equatorial Pacific, with anomalies that remain lower than those reached at this time of year in the 2015 phenomenon.
On a seasonal scale, the northern autumn (September-October-November) of 2023 was the warmest recorded worldwide, by far, since the average temperature stood at 15.30°C and was 0.88°C higher to the average.
The average European temperature from September to November 2023 was 10.96°C, that is, 1.43°C above the average. This made autumn 2023 the second warmest on record, just 0.03°C colder than autumn 2020.
All study results are based on computer-generated analysis and based on the ERA5 data set using billions of measurements from satellites, ships, aircraft and weather stations around the world.
