Researcher: Basic Greenhouse Equations "Totally Wrong"

And so continues the saga of the ever more unlikely Globull Warming Myth. For the umpteenth time, new research, by a former AGW believing scientist, dispels the myth that Climate Change is man made or catastrophic. Please read the article in it's entirety as is lays out a good case.

H/T DailyTech

New derivation of equations governing the greenhouse effect reveals "runaway warming" impossible

Miklós Zágoni isn't just a physicist and environmental researcher. He is also a global warming activist and Hungary's most outspoken supporter of the Kyoto Protocol. Or was.

That was until he learned the details of a new theory of the greenhouse effect, one that not only gave far more accurate climate predictions here on Earth, but Mars too. The theory was developed by another Hungarian scientist, Ferenc Miskolczi, an atmospheric physicist with 30 years of experience and a former researcher with NASA's Ames Research Center.

After studying it, Zágoni stopped calling global warming a crisis, and has instead focused on presenting the new theory to other climatologists. The data fit extremely well. "I fell in love," he stated at the International Climate Change Conference this week.

"Runaway greenhouse theories contradict energy balance equations," Miskolczi states. Just as the theory of relativity sets an upper limit on velocity, his theory sets an upper limit on the greenhouse effect, a limit which prevents it from warming the Earth more than a certain amount.

How did modern researchers make such a mistake? They relied upon equations derived over 80 years ago, equations which left off one term from the final solution.

Miskolczi's story reads like a book. Looking at a series of differential equations for the greenhouse effect, he noticed the solution -- originally done in 1922 by Arthur Milne, but still used by climate researchers today -- ignored boundary conditions by assuming an "infinitely thick" atmosphere. Similar assumptions are common when solving differential equations; they simplify the calculations and often result in a result that still very closely matches reality. But not always.

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