The distortion of the global surface temperature datasets


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Link here. Goddard does a good job of illustrating the differences between the measured and reported climate temperature datasets, and how the reported numbers are consistently shifted to make the past cooler than measured and the present hotter than measured.

He often attributes this bias to dishonest tampering with the data to support the theory of global warming. He might be right, but it is important to remember that you shouldn’t necessarily assign malice to things that are just as easily explained by human error or stupidity. In this case he also notes that almost all the weather stations that have been decommissioned in the past few decades have been located in rural areas. To replace their data, global warming scientists average the data from nearby stations, most of which are in urban areas that exhibit warmer temperatures because city constructs tend to cause local warming. The result? The recent datasets tend to show a strong trend upward.

What is causing a cooling in the datasets from prior to 1970 however is not explained by mere error. The data hasn’t changed. Someone must be deciding to adjust it downward, for reasons that are simply not justifiable.

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