ALMOST ALL US TEMPERATURE DATA USED IN GLOBAL WARMING MODELS IS ESTIMATED OR ALTERED

We have written many times about the fact that the temperature data used in the alarmists’ global warming models are not original data as measured by thermometers. Rather, they are “adjusted” numbers, consistently changed to make the past look cooler and the present warmer, so that more billions of dollars will flow from the world’s governments to the climate alarmists who serve government’s cause. This is, in my opinion, the greatest scandal in the history of science. 

This article at Watts Up With That? adds incrementally to that picture. John Goetz analyzes the U.S. temperature data that finds its way into “official” tabulations. This is particularly important because, while the U.S. represents only 6.6% of the total land area of Earth, we account for close to half of the data relied on by the Global Historical Climatology Network. This is a big topic, and you should study the Goetz article in its entirety if you have time. I am still digesting it. 

But a few highlights are obvious. First, Goetz finds that approximately 92% (or even more, depending on how you calculate it) of US surface temperature data consists of estimated or altered values. Very little raw data finds its way into the warmists’ climate models–which, of course, is the way they want it. Second, the adjustments that are made to the U.S. data consistently skew the numbers as we have described many times before–they try to make the present look warmer, compared with the past.

This is the key chart. It shows “the average change to the raw value due to the homogenization model.” In other words, how the actual temperature as recorded by thermometers is being altered before it goes into the alarmists’ models:

As you can see, the temperatures are generally lowered by around .5 degree C until around 1965, when the fake warming trend begins. From that time on, recorded temperatures are reduced less, and then, in recent years, bumped up. 

Why do the alarmists, lavishly funded by the world’s governments, persistently alter the data before they feed it into their computer programs? Because the raw data won’t get them where they are trying to go, to keep the money flowing. This is what you see if you just plot the temperatures that were recorded on thermometers here in the U.S. No warming:

No warming means no money. That is what fraud is always about in the end: money. Could someone please explain this to Pope Francis?