SHOCKER=> Global Warming Computer Models Were Wrong, the ‘Pause’ Is Real

It turns out, the theorized “pause” related to global warming is real and all of our fancy computer models that predicted dramatic increases in temperature failed us.

A paper published for Nature Geoscience titled “Causes of differences in model and satellite tropospheric warming rates” admits in shocking detail the shortcomings of climate scientists and their computer models. The most shocking element of all, is the fact that the paper’s lead author is Ben Santer, a man who will go down as one of the most vocal alarmists. James Dellingpole points out in his long form Breitbart piece that this topic was exposed in the “Climategate emails”.

Read the paper’s abstract below:

In the early twenty-first century, satellite-derived tropospheric warming trends were generally smaller than trends estimated from a large multi-model ensemble. Because observations and coupled model simulations do not have the same phasing of natural internal variability, such decadal differences in simulated and observed warming rates invariably occur. Here we analyse global-mean tropospheric temperatures from satellites and climate model simulations to examine whether warming rate differences over the satellite era can be explained by internal climate variability alone.

We find that in the last two decades of the twentieth century, differences between modelled and observed tropospheric temperature trends are broadly consistent with internal variability. Over most of the early twenty-first century, however, model tropospheric warming is substantially larger than observed; warming rate differences are generally outside the range of trends arising from internal variability.

The probability that multi-decadal internal variability fully explains the asymmetry between the late twentieth and early twenty-first century results is low (between zero and about 9% ). It is also unlikely that this asymmetry is due to the combined effects of internal variability and a model error in climate sensitivity. We conclude that model overestimation of tropospheric warming in the early twenty-first century is partly due to systematic deficiencies in some of the post-2000 external forcings used in the model simulations.

Climate change continues to be debunked. We are living in an age wherein we can acquire so much of the information and yet our scientists, encouraged by the government to find evidence of climate change, global warming, etc., simply make things up in order to receive funding each year. In a bid to receive a paycheck, they have resorted to lying to the world.


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