2022 Was Warmest On Record In Central England
By Paul Homewood
https://www.metoffice.gov.uk/hadobs/hadcet/data/meantemp_monthly_totals.txt
It’s been on the cards for sometime, but we now know that 2022 was the warmest year on the CET record. UK figures will doubtlessly follow suit.
There will the inevitable claims that this confirms both the UK and the world continues to get warmer. As far as the first is concerned, that is not the case, as the 10-year average remains virtually the same as it was in the early 2000s. In simple terms, we continue to see a pause in UK temperatures, which has now lasted for nearly twenty years.
As for 2022, the record high is actually well withing the bounds of normal variability. As the chart below shows, annual temperatures are frequently around 1C either above or below the 30-year average. Last year was 0.8C warmer than the 30-year average, whilst 2010, for instance, was 1.1C below. Both anomalies were the result of weather variability, not climate change.
https://www.metoffice.gov.uk/research/climate/maps-and-data/uk-and-regional-series
As the top chart reminds us, there was a significant uptick in CET in the late 1980s and 90s. Given that higher climate baseline, it is inevitable that we will continue to see new record highs occasionally set, even if there no underlying increase in temperature.
The story of the year’s weather is told in the chart below:
https://www.metoffice.gov.uk/hadobs/hadcet/cet_info_mean2022.html
Most of the year saw temperatures in the top half of the range, but still within the 95th percentile. In short, there was a marked absence of colder than average weather, but no evidence of an upward shift in the temperature range as a whole which would be the case if there was a climatic shift.
We can break this down by calculating the number of days in each category for each month, based on percentiles of daily temperatures between 1991 and 2020:
https://www.metoffice.gov.uk/hadobs/hadcet/data/meantemp_daily_totals.txt
Over the year as a whole, there were 29 days above the 95th percentile, the statistical average of course being 18, while 16 days came in below the 5th percentile. Extreme temperatures at either end of the scale therefore made little difference to the annual mean.
But by far the biggest impact was had by the 216 days in the yellow band, above the median but below the 95th percentile. That compared to just 104 days below the median.
All of these days between the 5th and 95th must be regarded as “normal weather”
Backing up this conclusion is the fact that no monthly or seasonal records were set last year, far from it:
Month | Rank |
Jan | 91 |
Feb | 9 |
Mar | 11 |
Apr | 62 |
May | 22 |
Jun | 107 |
Jul | 21 |
Aug | 3 |
Sep | 56 |
Oct | 5 |
Nov | 8 |
Dec | 117 |
On a monthly basis, there was not a single month which saw weather we had not had experienced before. Even August. which was the 3rd hottest, was 0.4C cooler than 1995. Most months, while warmer than average, were in no way unusually so.
We’ve looked at the numbers, but let’s look at the type of weather that lay behind them:
- February was mild largely due to a succession of Atlantic depressions:
- The spring and summer that followed were both particularly sunny, with high temperatures inevitable:
- Towards the end of the year, the autumn, particularly October and November, experienced mostly unsettled weather and above average rainfall:
In a nutshell, we had just the sort of temperatures we would expect from the weather which we had. Sunny springs and summers invariably lead to high temperatures, whilst unsettled, wet conditions in autumn and winter usually bring mild weather.
There is no evidence in any of the above that 2022 is part of a longer term pattern of warming in the UK.
Comments are closed.
The first chart shows the CET 10 year average. That would seem to show that the 20th century average is about 9.7°C. or about 49.5°F. Is that what is usually given for the CET 20th century mean?
If so that’s about 7.5°F colder than the 20th century global average of 57°F. and 2.5°F colder than the US 48-state value of 52°F. Global warming??
“It’s been on the cards for sometime, but we now know that 2022 was the warmest year on the CET record. UK figures will doubtlessly follow suit.”
The BBC was up to its usual click-bait tricks with this piece on 28th Dec:
“2022 will be warmest year ever for UK, Met Office says”
https://www.bbc.co.uk/news/uk-64111625
Then immediately contradicts itself with its first sentence:
“The Met Office has said 2022 will be the warmest year on record for the UK.”
Paul, I find all of that fascinating, but I fear that the CET is useless for long-term climate analysis. Why?
Because there are no less than 17 changes in the stations that make up the CET over time. And that makes your most interesting analysis totally useless from a statistical point of view.
Sorry,
w.
The changes are made specifically to maintain the integrity of the readings. Each change is accompanied by a met office PDF explaining the reasons for the changes, urbanisation loss of a site etc.
It’s hard to take it as beyond doubt when they have a small UHI adjustment that has never been upgraded despite exponential population and building growth since it was introduced.
It was clear yet again last year during the heatwave that the vast London conurbation alone seriously contaminates recorded temperatures over a massive area of the country at various times.
I’d buy that if they ran the new and old sites in parallel for a period of years. Same for changing censors.
climatereason January 3, 2023 9:24 pm
The fact that they “explain” the change doesn’t mean it’s valid. For example, suppose a change is made because one of the stations goes out of operation … that doesn’t make the change valid.
You providing a link to each of the 17 PDFs would go a long way toward determining just which of them might be explainable, justifiable, and valid.
w.
And? Having a reason doesn’t alter the fact it’s different. Max-min measurements are extremely sensitive to location.
I had reason to dig into Gordon Manley’s calculations, particularly his stitching together of his previously published northern dataset with some more southerly stations in order to concoct his CET. These are archived at Cambridge University library.
I was taken aback by a letter among his papers where he had written to Craddock, a Met Office friend of more numerical bent, asking for an explanation of the term, “standard deviation”! Craddock did respond but I got the impression that it was a bit over Gordon Manley’s head. This highlighted for me how Gordon Manley was very much an old-school climatologist – then a topic within descriptive geography – but obviously a numerical ignoramus. There are reams of fine tabulations comparing columns of values so he obviously had some notion that to merge two series you had to account for a shift in the mean but clueless about how one would quantitatively adjust for a shift in variability.
What the Met Office fail to disclose is that there are statistically different and better ways at CET temperatures. Taking the mean temperature for each calendar year is one way. But if you look at ‘what was the warmest 12 months’ in the CER you get a different answer. The warmest consecutive 12 month period remains May 2006 to April 2007, with a mean temperature of 11.63C. This is now nearly 17 years ago and still hasn’t been beaten. This is still half a degree warmer than the last 12 months. Another way of looking at the figures is to find the warmest 365 days. On that basis the warmest in the CET record was 3 May 2006 to 2 May 2007 with a mean temperature of 11.71C. The reality is that CET plateaued around the millennium, but arguably the warmest ‘year’, albeit not calendar year, remains back in 2006-2007.
And if you took hourly temperatures rather than max-min the answer would also be different. In any event an average is never “the warmest”. Its an average so can’t be. It may get the highest average but that’s not the same thing.
Scientists giving records ‘for calendar years’ stems from demand.
Human beings have a penchant for meaningless reckonings and anniversaries.
Some are more robust:
Professor Higgins “Would you be fussed if I forgot your silly birthday? Or didn’t speak to you for several days?”
Colonel Pickering “Course not!”
Announcing ‘records’ is just information wars. Since ‘they’ have won that war I do not know why they bother. Except of course to counter doubt in their own minds.
“On that basis the warmest in the CET record was 3 May 2006 to 2 May 2007 with a mean temperature of 11.71C. The reality is that CET plateaued around the millennium, but arguably the warmest ‘year’, albeit not calendar year, remains back in 2006-2007.”
When claiming ‘adverse’ weather effects, the powers that be seem to have no qualms about cherry-picking the consecutive constituents of a unit of time.
As Paul reported in “CEH Preliminary Report On S Yorks Floods–No Evidence That They Were Caused By Climate Change”:
https://notalotofpeopleknowthat.wordpress.com/2019/11/24/ceh-preliminary-report-on-s-yorks-floods-no-evidence-that-they-were-caused-by-climate-change/
UAH 2022 was ranked 7th of 44 years.
https://www.drroyspencer.com/
The UAH data set measures the whole of the troposphere, so can’t be directly compared with the CET record which only records the temperature at the surface. However it would still be interesting to see what the UAH data for the UK was as this might give some idea about how much the UHI is affecting the surface measurements. Sadly Dr Spencer doesn’t provide a break down of the data into very small regions such as the UK. Does anyone know if it’s possible to access all the raw data and extract just the data for the UK?
Can do. Here’s the UK data.
round(time(uktemps)) uktemps
1979 -0.65
1979 -3.36
1979 -0.45
1979 -2.43
1979 -1.65
1979 -2.48
1979 -0.12
1980 -0.36
1980 -1.54
1980 0.51
1980 0.43
1980 -0.21
1980 -1.18
1980 -1.1
1980 1.14
1980 -1.6
1980 0.48
1980 -0.48
1980 -1.19
1980 -1.25
1981 0.48
1981 0.59
1981 -1.47
1981 -0.33
1981 0.1
1981 0.94
1981 -0.42
1981 0.08
1981 0.58
1981 -0.94
1981 -0.13
1982 -0.49
1982 1.92
1982 -0.9
1982 -3.11
1982 1.23
1982 -3.42
1982 0.44
1982 0.53
1982 -1.03
1982 1.38
1982 -1.3
1982 -0.35
1982 0.93
1983 -0.93
1983 0.32
1983 -0.16
1983 -0.58
1983 -0.29
1983 1.5
1983 -0.74
1983 0.97
1983 -2.84
1983 -2.46
1983 0.54
1984 2.17
1984 2.22
1984 -0.12
1984 0.29
1984 2.49
1984 1.47
1984 -2.12
1984 0.61
1984 -2.13
1984 0.56
1984 -0.53
1984 0.41
1984 0.21
1985 0.61
1985 -1.26
1985 -0.01
1985 -0.21
1985 0.29
1985 -2.61
1985 -0.01
1985 -1.8
1985 0
1985 -0.15
1985 -2.21
1986 -0.76
1986 -2.12
1986 0.44
1986 1.71
1986 -2.78
1986 -0.55
1986 -2.24
1986 -3.77
1986 -1.32
1986 -3.73
1986 -0.59
1986 1.52
1986 -0.42
1987 -2.71
1987 -0.75
1987 0.31
1987 -0.03
1987 -0.36
1987 -0.09
1987 -0.09
1987 -1.36
1987 1.76
1987 -0.52
1987 -2.5
1988 0.16
1988 0.37
1988 -1.41
1988 -2.08
1988 0.28
1988 1.77
1988 -0.88
1988 -1.21
1988 -0.89
1988 0.18
1988 0
1988 1.33
1988 -2.23
1989 -0.12
1989 -0.41
1989 0.03
1989 1.33
1989 2
1989 2.61
1989 -0.57
1989 0.06
1989 -2.33
1989 1.21
1989 -0.49
1990 1.84
1990 0.44
1990 1.1
1990 1.63
1990 0.55
1990 0.22
1990 0.61
1990 0.96
1990 1.7
1990 -1.2
1990 0.67
1990 -1.11
1990 0.65
1991 0.89
1991 -0.88
1991 0.62
1991 -0.22
1991 -0.02
1991 -0.82
1991 -1.25
1991 1.58
1991 -0.54
1991 1.04
1991 -2.84
1992 0.88
1992 1.44
1992 0.64
1992 -0.06
1992 -0.93
1992 2.27
1992 3.48
1992 1.38
1992 0.48
1992 -0.51
1992 1.93
1992 0.95
1992 -0.18
1993 -1.54
1993 -1.48
1993 -2.96
1993 0.12
1993 0.77
1993 0.82
1993 2.61
1993 0.79
1993 0.29
1993 -0.18
1993 1.01
1994 -1.52
1994 -0.96
1994 -2.12
1994 -1.73
1994 -0.8
1994 -1.32
1994 -0.72
1994 -0.84
1994 0.55
1994 -1.21
1994 -0.24
1994 0.76
1994 1.34
1995 -0.92
1995 -1.58
1995 0.12
1995 2.56
1995 0.47
1995 -0.56
1995 -0.13
1995 -1.32
1995 0.86
1995 -0.9
1995 1.09
1996 1.72
1996 3.06
1996 -1.77
1996 2.26
1996 0.85
1996 -0.97
1996 0.76
1996 -1.87
1996 0.06
1996 0.5
1996 -1.89
1996 0.57
1996 -0.15
1997 -0.46
1997 0.13
1997 0.63
1997 -2.08
1997 0.04
1997 1.04
1997 0.35
1997 2.76
1997 1.77
1997 0.16
1997 -1.22
1998 -0.49
1998 2.01
1998 0.97
1998 1.73
1998 0.47
1998 0.46
1998 0.49
1998 3.2
1998 2
1998 -2.35
1998 1.36
1998 -1.38
1998 -0.78
1999 0.94
1999 0.11
1999 -1.12
1999 -1.09
1999 0.49
1999 -0.17
1999 0.13
1999 -0.04
1999 0.43
1999 1.3
1999 -0.84
2000 1.24
2000 -0.51
2000 0.38
2000 0.17
2000 0.44
2000 -1.98
2000 1.36
2000 0.4
2000 1.08
2000 -1.03
2000 0.41
2000 0.39
2000 -1.04
2001 -0.42
2001 -0.03
2001 -0.92
2001 -2.22
2001 -1.07
2001 -1.11
2001 -0.08
2001 -1.7
2001 -1.25
2001 1.7
2001 -0.57
2002 -0.19
2002 -0.07
2002 -1.26
2002 0.83
2002 1.21
2002 -0.54
2002 1.72
2002 -0.02
2002 0.48
2002 1.16
2002 0.16
2002 -0.48
2002 -0.55
2003 0.61
2003 0.45
2003 -1.78
2003 -0.33
2003 0.43
2003 -0.7
2003 0.16
2003 1.77
2003 1.52
2003 -0.49
2003 1.34
2004 0.41
2004 1.99
2004 0.28
2004 -1.42
2004 -0.36
2004 0.89
2004 -0.3
2004 0.07
2004 -0.33
2004 0.15
2004 0.63
2004 -0.13
2004 -1.57
2005 -0.12
2005 0.96
2005 -1.96
2005 1.52
2005 0.69
2005 0.76
2005 -1.01
2005 0.48
2005 -0.1
2005 -1.07
2005 1.1
2006 0.33
2006 -0.06
2006 0.76
2006 1.65
2006 -0.4
2006 0.07
2006 1.42
2006 -0.41
2006 -1.28
2006 -0.91
2006 -0.59
2006 1.3
2006 2.03
2007 -0.68
2007 1.44
2007 1.11
2007 0.24
2007 0.99
2007 0.84
2007 0.33
2007 0.14
2007 3.34
2007 0.32
2007 -0.06
2008 -1.81
2008 0.05
2008 -0.01
2008 1.95
2008 0.8
2008 0.62
2008 0.67
2008 1.67
2008 -1
2008 -1.55
2008 1.03
2008 -0.82
2008 -0.15
2009 -0.33
2009 -0.22
2009 -1.53
2009 -0.36
2009 0.43
2009 -0.57
2009 0.41
2009 0.61
2009 1.08
2009 0.16
2009 -0.58
2010 -1.37
2010 0.2
2010 1.33
2010 1.18
2010 -0.89
2010 -2.43
2010 -2.18
2010 -2.58
2010 -1.43
2010 0.11
2010 -0.78
2010 1.28
2010 0.53
2011 -0.63
2011 -0.37
2011 -0.17
2011 -2.73
2011 -3.67
2011 -0.67
2011 0.29
2011 0.43
2011 2.86
2011 -0.43
2011 -1.01
2012 -1.05
2012 -0.81
2012 0.12
2012 0.85
2012 1.98
2012 -0.4
2012 0.6
2012 1.61
2012 2.61
2012 -1.91
2012 0.41
2012 -1.38
2012 -1.64
2013 -0.95
2013 -0.64
2013 -1.59
2013 -1.31
2013 -1.7
2013 -0.28
2013 -0.46
2013 -2.75
2013 -1.17
2013 -1.03
2013 -0.17
2014 1.47
2014 0.04
2014 0.69
2014 0.37
2014 0.18
2014 0.46
2014 -1.1
2014 -1.5
2014 1.36
2014 1.83
2014 0.01
2014 0.04
2014 0.73
2015 -2.33
2015 1.43
2015 0.28
2015 0.24
2015 -0.22
2015 -0.89
2015 0.18
2015 0.83
2015 0.74
2015 -0.14
2015 0.27
2016 -0.89
2016 -0.47
2016 -0.81
2016 1.37
2016 1.77
2016 1.95
2016 -0.42
2016 -0.93
2016 0.22
2016 -1.21
2016 0.85
2016 0.34
2016 -0.23
2017 0.93
2017 1.36
2017 -0.09
2017 -0.56
2017 2.61
2017 1.1
2017 0.82
2017 1.04
2017 0.72
2017 1.75
2017 1.29
2018 -0.64
2018 -1.04
2018 -1.3
2018 2.13
2018 -0.96
2018 -0.56
2018 -0.88
2018 -1.23
2018 -1.78
2018 0.93
2018 2.52
2018 2.49
2018 1.8
2019 0.59
2019 -0.24
2019 1.22
2019 0.15
2019 1.08
2019 0.32
2019 2.28
2019 0.44
2019 0.65
2019 -0.11
2019 -0.24
2020 1.11
2020 -0.22
2020 0.6
2020 -0.04
2020 -1.61
2020 1.04
2020 2.15
2020 -0.02
2020 0.61
2020 2.3
2020 1.51
2020 0.15
2020 -0.43
2021 0.92
2021 1.44
2021 -0.75
2021 1.99
2021 -1.49
2021 -1.84
2021 0.02
2021 0.75
2021 -0.92
2021 -1.93
2021 1.64
2022 0.73
2022 0.42
2022 1.8
2022 0.48
2022 1.07
2022 1.03
2022 1.9
For those interested, I use the computer language “R” and the gridded MSU dataset. I multiply the dataset times a seamask times a countrymask for the UK and get the area-weighted average of the UK temps.
load(“MSU tlt Gridded.tab”,verbose=T) #variable name is “tlt”
ukmat=loadcountrymat(158,thedepth = 518)
uktemps=getmonths(tlt*ukmat*makearray(seamask,518),start=c(1978,12))
uktemps=round(uktemps-mean(uktemps),2)
w.
The difference in the trends is fairly large:
CET Trend, 1979 – 2000: 0.29°C/decade
UAH MSU Trend, 1979 – 2000: 0.16°C/decade
w.
Replying to Willis Eschenbach
Thanks Willis, it seems that your data is for 2 month time periods. I haven’t used it to calculate yearly temperature anomalies, but at a rough glance it seems that the UAH data shows that 2022 was the warmest year over the UK (at least since 1979) which suggests that there is some correlation between surface temps and lower troposphere temps. What is interesting is the difference in trends. Is this all down to UHI and or spurious adjustments to the raw data, or is there some other explanation?
“…other explanation…”
Yes, it got a bit warmer. Or didn’t. Who cares?
Obviously the UAH results I linked are LT, not surface, does that really need explaining?
What it came down to in the end was the last 2 weeks of December. If it had continued like the first 2 weeks the record would not have fallen.
If on the other hand the first 2 weeks were as mild as the last, it would have been a record by a considerable margin.
It’s just a roll of the weather dice. In 2022 most months came up double six. The dice might have a slight flat bias on one corner to represent the fact we are in a warmer period, but by far the most significant factor is still just random chance.
Don’t they mean least cold? Rather than warmest, which was 1976.
“Unprecedented”, or “Record” means, in BBC/MET parlance, something that hasn’t happened very often in the last 50 years ago, usually with the assistance of thumbs firmly on scales.
The CET is a bit different, statistically difficult as Willis points out. But the BBC/MET get round challenges to their Agit-prop, by just ignoring CET, anyway.
But as we are now in the realms of “hottest third Tuesday in June”, or draftiest September wind on some obscure cliff top in the Outer Hebrides, or most boring April shower, or whatever; measured in seconds if needs be, it isn’t hard for them to confabulate a “record” of some kind, so they can bloviate about it and get the media waving shrouds and wailing about impending doom.
The surprise, really, is that they don’t cobble together twice, nay, thrice as many “records”.
I guess that that Nice Susan Michie from Sage / WHO has perhaps advised them, that “climate records” are getting to be a ‘stranded asset’, as even the thickest lovers of a Nanny State are now starting to take the piss.
After all, as she might remind them, (with apologies to her hero Stalin. Or was it Lenin?): –
RECORDS ARE LIKE PIECRUSTS.
MADE TO BE BROKEN!
What inspired Susan Michie of the red aristocracy Murray – McDonnell clan to convert to Communism ? [ I recommend the Lotus Eaters Podcast ” Stalinists Super Tankies and SAGE ” ] Was it the trip to Fidel Castro’s Cuban hellhole in the 1970’s .[ I guess the UMAP gulags were off the intinery ] or the family faith ?. Im not sure about Lenin or Stalin as her heroes but you can see a photograph of Susan ” we the working class ” Michie in a Daily Mail article delivering a speech next to a portrait of Fidel Castro .Now that we know the Castros were exorbitantly rich , Michie after the sale of a 50 million pound Picasso family heirloom has wealth in common with the Castros . And Hugo Chavez’s brood Do you know what Michie the 40 year member of the Communist Party of Great Britain and Andrew Murray share with Hitler and Mussolini ? . Both dictators in their early political careers cut their teeth as Marxists. Hitlers propaganda minister Goebells revered Lenin . And its not hard to see why . Karl Marx and Friedrich Engels were racist genocide enthusiasts See Antony Flews Sept 1 , 1999 FEE article : ” The Lost Literature of Socialism .Did the Nazis Owe The Idea and Practice of Genocide to Marx and the Marxists “?
Some excellent points, Stuart.
It is widely reported, (other than by the Beeb etc, that the ‘Comrades’ refer to Michie as ‘Stalin’s Nannie’.
She looks the part, anyway.
Seamus Milne (Corbyn’s ‘advisor’) is another big fan, apparently.
Poking about on the ‘net suggests that the ‘promises and pie crusts’ observation is a very old one, unsure if even Jonathan Swift was the first.
But Lenin and Stalin were evil.
Certainly not dopey. Either or both would have remembered this saying.
In Alaska beavers are making dams while the sun shines, and guess what, accelerating global warming, the little buggers undoing all Net Zero’s achievements.
Rewilders you’ve been warned of the dangers!
Beavers are taking over the Alaskan tundra, completely transforming its waterways, and accelerating climate change in the Arctic.
The changes are so sudden and drastic that they’re clearly visible from space.
As the Arctic tundra warms, woody plants are growing along its rivers and streams, creating perfect habitats for beavers.
https://www.businessinsider.com/beavers-invade-alaska-arctic-tundra-photos-satellite-images-damage-2023-1
The re wilder freaks have let beavers loose in the UK, creating a right mess. People are now having to put steel fences around valued trees in the countryside!
You mean greenies didn’t think things through? with
The NTS (National Trust For Scotland) are trying to replant various stretches of the Caledonian Forest with native species, which I’m generally in favour of. But the beaver, originally illegals, are rapidly expanding their range along the Tay and its tributaries. So not only having to deal with overgrazing they will soon have to deal with beavers attacking saplings.
Wolves anyone?
Funny how the BBC/MET always state the warmest day in the UK was such and such as measured at Heathrow next to the A4.
Or by the tarmac at RAF Coningsby. 😉
for 2 mins etc.
I guess that many modern temperature recordings are taken these days by digital means, which has an almost instantaneous response to changes in air temperature. For example it would seem that the readings at Coningsby are taken every 6 seconds given that was how long the record temperature registered.
I am sure people will say that a max/min thermometer will also record that high value, but how quickly does a traditional thermometer take to respond to a change? There must be lags in the transmission of heat through the glass of a thermometer bulb and a lag in heating the indicating fluid sufficiently for it to expand to an equilibrium state. The consequence will be that the conventional thermometer smooths out peak readings which a modern digital thermometer doesn’t, so to an extent comparing modern to historical records is not valid.
Willis Eschenbach, Many thanks for your fantastic and interesting UAH data for the UK. When you compared the UK CET and MSU (global?) trends below the data should this have been for 1979 to 2022 (not 2000) as your data goes to 2022?
Sorry, John, that was a typo. The results are actually for the period 1979 – 2022.
Sadly, no edit function.
w.
We are supposed to be in a winter heatwave but that only lasted for half a day
..that was Thursday until 11:30am ..then it went back to the cold winds
It’s pretty wintry since then.