Data from: https://www.ecmwf.int/en/era5-landhttps://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land?tab=overview

Tools used: Python, cdsapi (https://cds.climate.copernicus.eu/api-how-to), matplotlib

Code at: https://github.com/ppalasek/climate/

We can clearly see some extremes, e.g.:

• January/February 1963 (https://en.wikipedia.org/wiki/Winter_of_1962%E2%80%931963_in_the_United_Kingdom)
• April 2011 (https://www.theguardian.com/uk/2011/apr/24/april-warmest-britain-sun)
• July 2018 (https://en.wikipedia.org/wiki/2018_British_Isles_heat_wave)
• August 2022 (https://en.wikipedia.org/wiki/2022_United_Kingdom_heat_waves)
• December 2015 (https://www.metoffice.gov.uk/binaries/content/assets/metofficegovuk/pdf/weather/learn-about/uk-past-events/interesting/2015/exceptional-warmth-december-2015---met-office.pdf)

It feels like the points are behind bars. We need so save them

Interesting plot. The mainstream narrative would indicate this to be due to climate change. However, in the specific case of London, we must consider the significant reduction of co2 emissions during the last decades due to the coal usage ramp-down.

What I think you're saying is that the daily temperature depends on air quality with more CO2 resulting in lower temps. Can you explain how that works?

Greenhouse gas effect is of a global nature.

Maybe they are implying less soot in the air has lead to more sunshine and more warming.

Only way to do that is to make the following year the hottest or coldest by a mile so that it shifts the entire bar so much that it remains well above or well below the rest of the datapoints, evem absolutely 0 won't be enough to shift the bar majorly so we should throw the earth into the sun to free the data points

What about the grid?

Heat generation variable= population increase + hvac