Guest Blogger / 31/1 watts up with that The global climate scare – and policies resulting from it – are based on models that do not work
Dr. Jay Lehr and Tom Harris
For the past three decades, human-caused global warming alarmists have tried to frighten the public with stories of doom and gloom. They tell us the end of the world as we know it is nigh because of carbon dioxide emitted into the air by burning fossil fuels.
They are exercising precisely what journalist H. L. Mencken described early in the last century: “The whole point of practical politics is to keep the populace alarmed (and hence clamorous to be lead to safety) by menacing it with an endless series of hobgoblins, all of them imaginary.”
The dangerous human-caused climate change scare may well be the best hobgoblin ever conceived. It has half the world clamouring to be led to safety from a threat for which there is not a shred of meaningful physical evidence that climate fluctuations and weather events we are experiencing today are different from, or worse than, what our near and distant ancestors had to deal with – or are human-caused.
Many of the statements issued to support these fear-mongering claims are presented in the U.S. Fourth National Climate Assessment, a 1,656-page report released in late November. But none of their claims have any basis in real world observations. All that supports them are mathematical equations presented as accurate, reliable models of Earth’s climate. It is important to properly understand these models, since they are the only basis for the climate scare.
Before we construct buildings or airplanes, we make physical, small-scale models and test them against stresses and performance that will be required of them when they are actually built. When dealing with systems that are largely (or entirely) beyond our control – such as climate – we try to describe them with mathematical equations. By altering the values of the variables in these equations, we can see how the outcomes are affected. This is called sensitivity testing, the very best use of mathematical models.
However, today’s climate models account for only a handful of the hundreds of variables that are known to affect Earth’s climate, and many of the values inserted for the variables they do use are little more than guesses. mce-anchorDr. Willie Soon of the Harvard-Smithsonian Astrophysics Laboratory lists the six most important variables in any climate model:
1) Sun-Earth orbital dynamics and their relative positions and motions with respect to other planets in the solar system;
2) Charged particles output from the Sun (solar wind) and modulation of the incoming cosmic rays from the galaxy at large;
3) How clouds influence climate, both blocking some incoming rays/heat and trapping some of the warmth;
4) Distribution of sunlight intercepted in the atmosphere and near the Earth’s surface;
5) The way in which the oceans and land masses store, affect and distribute incoming solar energy;
6) How the biosphere reacts to all these various climate drivers.
Soon concludes that, even if the equations to describe these interactive systems were known and properly included in computer models (they are not), it would still not be possible to compute future climate states in any meaningful way. This is because it would take longer for even the world’s most advanced super-computers to calculate future climate than it would take for the climate to unfold in the real world.
So we could compute the climate (or Earth’s multiple sub-climates) for 40 years from now, but it would take more than 40 years for the models to make that computation.
mce-anchorAlthough governments have funded more than one hundred efforts to model the climate for the better part of three decades, with the exception of one Russian model which was fully “tuned” to and accidentally matched observational data, not one accurately “predicted” (hindcasted) the knownpast. Their average prediction is now a full 1 degree F above what satellites and weather balloons actually measured.
mce-anchorIn his February 2, 2016 testimony before the U.S. House of Representatives Committee on Science, Space & Technology, University of Alabama-Huntsville climatologist Dr. John Christy compared the results of atmospheric temperatures as depicted by the average of 102 climate models with observations from satellites and balloon measurements. He concluded: “These models failed at the simple test of telling us ‘what’ has already happened, and thus would not be in a position to give us a confident answer to ‘what’ may happen in the future and ‘why.’ As such, they would be of highly questionable value in determining policy that should depend on a very confident understanding of how the climate system works.”
Similarly, when Christopher Monckton tested the IPCC approach in a paper published by the Bulletin of the Chinese Academy of Sciences in 2015, he convincingly demonstrated that official predictions of global warming had been overstated threefold. (Monckton holds several awards for his climate work.) The paper has been downloaded 12 times more often than any other paper in the entire 60-year archive of that distinguished journal. Monckton’s team of eminent climate scientists is now putting the final touches on a paper proving definitively that – instead of the officially-predicted 3.3 degrees Celsius (5.5 F) warming for every doubling of CO2 levels – there will be only 1.1 degrees C of warming. At a vital point in their calculations, climatologists had neglected to take account of the fact the sun was shining.
