Man-made adjustments transform cooling to warming in Paraguay, South America

It’s not fossil fuels causing global warming, it’s man-made adjustments. Stop the adjustments!

In South America, there are hardly any rural land thermometers. GISS tells us the area is warming (see the map below). Paul Homewood looked at the raw data. There are only three rural stations currently operating in the area, Puerto Casado, Mariscal, and San Juan, and they all show a raw trend that falls. As in so many other situations, after adjustments, all three show a rising trend. The changes are breathtaking. In Mariscal raw temperatures of 25.5C turned out to be “really” 22.5C. (Those 1950 thermometers were hopeless 😉 ). In San Juan Bautista, and Puerto Casasdo the  old thermometers get adjusted down by around two degrees. Perhaps there are reasons for the adjustments, but if old thermometers so so bad, and station changes have made such a difference, why does any scientist pretend we can calculate global temperatures accurately?

The GISS map of South America. Left: The warming. Right: The NOAA map showing “grey” areas with no coverage. See Notalotofpeopleknowthat for source links.

Paul Homewood describes what he found when he compared the raw data with the official set: Massive Tampering With Temperatures In South America. This is just one of his three graphs. They are all show similar transformations.

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Christopher Booker discusses the implications in: Climategate, the sequel: ‘How we are STILL being tricked with flawed data on global warming’.

Although it has been emerging for seven years or more, one of the most extraordinary scandals of our time has never hit the headlines. Yet another little example of it lately caught my eye when, in the wake of those excited claims that 2014 was “the hottest year on record”, I saw the headline on a climate blog: “Massive tampering with temperatures in South America”

After telling us about Homewoods work, Booker describes how dubious so many of the surface temperature sets are:

One surprise is that the three surface records, all run by passionate believers in man-made warming, in fact derive most of their land surface data from a single source. This is the Global Historical Climate Network (GHCN), managed by the US National Climate Data Center under NOAA, which in turn comes under the US Department of Commerce.

But two aspects of this system for measuring surface temperatures have long been worrying a growing array of statisticians, meteorologists and expert science bloggers. One is that the supposedly worldwide network of stations from which GHCN draws its data is flawed. Up to 80 per cent or more of the Earth’s surface is not reliably covered at all. Furthermore, around 1990, the number of stations more than halved, from 12,000 to less than 6,000 – and most of those remaining are concentrated in urban areas or places where studies have shown that, thanks to the “urban heat island effect”, readings can be up to 2 degrees higher than in those rural areas where thousands of stations were lost.

To fill in the huge gaps, those compiling the records have resorted to computerised “infilling” or “homogenising”, whereby the higher temperatures recorded by the remaining stations are projected out to vast surrounding areas (Giss allows single stations to give a reading covering 1.6 million square miles). This alone contributed to the sharp temperature rise shown in the years after 1990.

But still more worrying has been the evidence that even this data has then been subjected to continual “adjustments”, invariably in only one direction. Earlier temperatures are adjusted downwards, more recent temperatures upwards, thus giving the impression that they have risen much more sharply than was shown by the original data.

The GISS  group told the world 2014 was the hottest ever. Goddard Institute for Space Studies doesn’t use the satellites in space — they use thermometers on the ground, near airports and tarmacs, which need a LOT of man-made adjustments.

These datasets need independent replication. Analysts who want to find the flaws need to get the resources to replicate them properly. Anything less is not real science. Skeptics need funding.