Contaminating Good Data With Bad
August 27, 2023
By Paul Homewood
An important video from Tony Heller.
Temperatures in cities have been known for a long time to be much warmer than surrounding rural areas. Instead of eliminating the Urban Heat Island contaminated data, NASA and NOAA use it contaminate surrounding rural stations as well.
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NOT A LOT OF PEOPLE KNOW THAT 
Keep going TH, lets see how the rest of the globe’s temperature records are contaminated by large and growing heat island areas….
See also the excellent work done by Anthony Watts: https://www.youtube.com/watch?v=GZbUvoRHS_8&ab_channel=TheHeartlandInstitute
… Just like the Glass (or fuel tank) is 1/2 full ( no need to top up this now) or 1/2 Empty ( better ADD some more in case it runs dry)
Now if we came from a different direction, – and thought / REFERRED to Nighttime temperatures, the result would be QUITE Different. Anyone done that ? Here in N of Scotland ( Noooh.. for some that does NOT refer to a place out in the Ocean to the north of England ), our Night time temps have been quite low this year: hence soil temp have not risen very much to promote good plant growth: In fact the rain has raised the temps, this past week: seen more growth through the transfer of heat lower down to the roots with moisture, more than simple watering in early spring ever did, before we restricted watering plants to conserve water.
The high daytime temps haven’t been matched by high night time temps at all. On the contrary, the night temps with windchill & radiation have kept the soils COLD … Crops which came early ( Cereals) and should have been harvested by end of JUbe – mid-July, have STILL NOT been harvested – never ripened… and now the rain + Mildew … will be a filthy and poor quality harvest for some.. and THAT’s how people (can) starve. SO much for listening to politicians and Crop n’ weather scientists IMHO – I don’t any more but sometimes hands are tied – the Green Handshake to farmers is a scam.
Can’t fault your assessment of Scottish phenology 2023 . This applies equally throughout and is a perfect description of not only the Northern extremities but also the southern border and Solway where I live.
Yes, Roger , but I still dunno – perplexed by the local variations: Was in the Borders recently: Harvest WAS somewhat further on than up here ( where we have been known to finish early sown SPRING Barley by the first few days of August. However, I noticed that near St Bowell’s, there were feral Apples in abundance – some rather large, (But oh so sour) with no pips. English Oaks (Quercus robur) had many acorns beside them, yet at home I have 1 Pear, and 3 apples before the birds peck at them, and my Oak ( sessile) has very few acorns this year. No Plums at all but along the road away from cold down-drafts from the hills ( maybe?) a friend has loads of plums! and another tree around Kilmarnock has no fruit this year, either. Certainly NOT a MAST Year… from a warming over hot summer? “hoor u ki dding” .
Temperatures from UHI have no merit, especially after the so-called correction factor is applied. These official temperature datasets are effectively worthless, and yet they are used by educated fools in parliament everywhere to determine policy that squanders $trillions from taxpayers and businesses to make the uber rich hyper rich.
I think you identified the intended beneficiaries earlier in your sentence.
Brown paper envelopes are so old hat
Examples abound, and until recently were readily available. The problem cited above appears in the “adjusted” numbers compared to the unadjusted numbers submitted by local weather authorities.
Bbc country file weather forecast is announcing summer 2023 in the UK as very warm.
The lying is utterly Orwellian at this juncture.
It all depends on what they “Mean”.
The Mean maximum temperature for this summer is only just above long term average and nowhere near the record of 1976.( hottest year still)
However the Mean temperature is quite a bit above the long term average but that is mainly because the Mean of the minimum temperature is
quite a bit above the long term average.
Which could be due to UHI .
And such claims are utterly meaningless – max and mins across the country are achieved at different times of the day in differemt places,so the average they claim never existed even as an average. To say it was “warm” based on such averages is simply absurd, particularly as max temperatures may be the result of say warm air moving, creating a series of highs as it goes – but each max is essentially the same one.
The Met Office have always used the same method in their time series.
The time series for temperature, rainfall, and sunshine is linked below.
There is high correlation between all 3 variables but the increasing trend in sunshine (disappearing clouds) is unexplained by accepted AGW climate models. The disappearing clouds bit is a global phenomenon so climate change doomsters just wave their hands.
https://www.metoffice.gov.uk/research/climate/maps-and-data/uk-temperature-rainfall-and-sunshine-time-series
Yes, but we’ve never before been asked to give up our cars, flying and meat based on nonsensical averages! Even before climate change,I used to laugh at the “one months rain in two days” stories on the news – not just an average being compared with a single data point but rain falls evenly across any month? And yes clouds.
Never get a response from climate scientists
Whe I ask about disappeared clouds.
https://twitter.com/JohnCookne72201/status/1696048815663407125?s=20
The lying is utterly Orwellian at this juncture.
It has just gotten so much worse as time has gone on.
When one is “saving the Planet” though, anything is “permitted”.
The procedure is called “homogenization”. It takes observed data deemed “reliable” and uses them to correct all other observed data. The result is a whole new set of homogenized data, which they then call observed data.
Actually, they not only “correct” data, they even manufacture missing data.
What they end up with isn’t data at all.
And such procedures can not be shown to be correct in any possible way. And the vast majority of such adjustments change the averages, which shows they are almost certainly wrong – if some data are wring, they should be a reasonably equal mix of too high and too low, which should mean “correcting” them results in no change to the average.
Ron Clutz’ graphs demonstrate clearly that what the world is suffering from is “climate anomaly adjustment syndrome” not temperature increase.
The whole of climate-science is riddled with bad science: the CO2 figures are only rising rapidly because the IPCC will not accept George Beck’s papers on earlier CO2 figures and have cherry-picked the data to depend on proxy ice-core results. Not to mention hockey sticks of course.
I trust the UAH satellite data and that clearly shows step changes associated with the ENSO, not CO2 correlated increases. And it clearly shows no increase for a number of years.
The so-called “Urban Heat Island” effect is wrongly referred-to as solely the result of solar radiation being absorbed by buildings and paved surfaces in large towns and cities and then released into the atmosphere. While this is true, it is not simply an urban phenomenon. All buildings and paved surfaces (and including solar panels), even in rural areas absorb and release solar radiation. This is exacerbated by the fact that all these structures have replaced vegetation which would otherwise absorb CO2 to build their own structures. They use the light and heat from the sun to fuel those chemical reactions and release the oxygen – that we and all animals need – back into the atmosphere. That is why woodland is cooler than surrounding open areas: not just shaded but actually absorbing and reducing heat. The “Urban Heat Island” effect has greatly increased in magnitude over the last 50 – 100 years as more and more buildings and vehicles have had heaters and air conditioners – and now heat pumps – installed, all of which dump excess heat into the local atmosphere. It is therefore very misleading that climatologists simply use higher temperatures due to the “Urban Heat Island” effect as a measure, rather than a cause, of climate change.
I have an old stone house in SW France with one wall facing south-east in the summer. It’s partly rendered with concrete. After sunset the concreted part remains very warm whilst the stone is much cooler. The difference between the two areas is very large. Quite clearly concrete absorbs and retains heat massively.
As somebody with a Geology degree, I’d agree entirely. Mind you, it depends on the type and colour of the stone. And of course tarmac and dark-coloured roof tiles are even worse at absorbing and re-transmitting heat.
On Tony’s “replacing vegetation”. Just read that owners of EVs are anxious to pave over their driveways as they charge up their cars. Wonder if they know that they are increasing the U.H.I. effect and contributing to all this corrupt data?
Here’s a fun fact for all of us who lived through the summer of 1976 gleaned from the Met Office time series for rainfall, temperature and sunshine.
The summer of 1976 was the warmest on record ( mean of the daily max temp) and it was also the sunniest in the record.
Sunshine across the globe is increasing but nobody wants to talk about that.
https://www.metoffice.gov.uk/research/climate/maps-and-data/uk-temperature-rainfall-and-sunshine-time-series
Cookers52: how well I remember the summer of 76: fantastic! You are right that sunshine hours are an obvious driver for the warming: clear for the UK. The increase in sunshine hours is probably a reaction to the emissions controls imposed in the western world in the late 1960s, which caused clouds and fogs.
It is amusing to speculate on what caused the global cooling over the 1960s: this was the period just after atomic bombs were exploded and when nuclear tests were regular occurrences: these could well have increased the stratospheric dust loading, but as with many climate variables, we will never know.