What Was IPCC Thinking?
IPCC claims that the fate of the planet is at stake, but the key temperature data set used by climate models contains more than 70 different sorts of problems. Trillions of dollars have been spent because of predictions based on this ERRONEOUS data – even the most baby-basic quality control checks have not been done! [Link James Delinpole]HadCRUT4 is the primary dataset used by the Intergovernmental Panel on Climate Change (IPCC) to make its dramatic claims about “man-made global warming”, to justify its demands for trillions of dollars to be spent on “combating climate change” and as the basis for the Paris Climate Accord.
But according to a groundbreaking analysis by Australian researcher John McLean it’s far too sloppy to be taken seriously even by climate scientists, let alone a body as influential as the IPCC or by the governments of the world.
“It’s very careless and amateur,” he says. “About the standard of a first-year university student.”
Among the many errors found by McLean were:
- Large gaps where there is no data and where instead averages were calculated from next to no information. For two years, the temperatures over land in the Southern Hemisphere were estimated from just one site in Indonesia.
- Almost no quality control, with misspelled country names (‘Venezuala” “Hawaai” “Republic of K” (aka South Korea) and sloppy, obviously inaccurate entries.
- Adjustments – “I wouldn’t be surprised to find that more than 50 percent of adjustments were incorrect,” says McLean – which artificially cool earlier temperatures and warm later ones, giving an exaggerated impression of the rate of global warming.
- Methodology so inconsistent that measurements didn’t even have a reliable policy on variables like Daylight Saving Time.
- Sea measurements, supposedly from ships, but mistakenly logged up to 50 miles inland.
- A Caribbean island – St Kitts – where the temperature was recorded at 0 degrees C for a whole month, on two occasions (somewhat implausibly for the tropics)
- A town in Romania which in September 1953, allegedly experienced a month where the average temperature dropped to minus 46 degrees C (when the typical average for that month is 10 degrees C).
The HadCRUT4 dataset is a joint production of the UK Met Office’s Hadley Centre and the Climatic Research Unit (of Climategate notoriety) at the University of East Anglia.
According to McLean:
“It seems like neither organization properly checked the land or sea temperature data before using it in the HadCRUT4 dataset. If it had been checked then the CRU might have queried the more obvious errors in data supplied by different countries. The Hadley Centre might also have found some of the inconsistencies in the sea surface temperature data, along with errors that it created itself when it copied data from the hand-written logs of some Royal Navy ships.”
Absurdity Everywhere in Hadley Met Centre Data
[Link too Article : #DataGate! First ever audit of global temperature data finds freezing tropical islands, boiling towns, boats on land]There are cases of tropical islands recording a monthly average of zero degrees — this is the mean of the daily highs and lows for the month. A spot in Romania spent one whole month averaging minus 45 degrees. One site in Colombia recorded three months of over 80 degrees C. That is so incredibly hot that even the minimums there were probably hotter than the hottest day on Earth. In some cases boats on dry land seemingly recorded ocean temperatures from as far as 100km inland The only explanation that could make sense is that Fahrenheit temperatures were mistaken for Celsius, and for the next seventy years at the CRU no one noticed.
I Apologize!
How Climate Data Is Faked:
Film Clip Here
Film Clip Here
