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Than 1000 International Scientists Dissent Over Man-Made Global ...

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clouds is given a low level of scientific understanding (LOSU). The range of possibilities is<br />

so great that the highest estimate of reflectivity from clouds can completely balance the<br />

highest estimate of warming from carbon dioxide. Then, there is the whole issue of water<br />

vapor which is a powerful greenhouse gas. It can range from 0.2 to 2% in the atmosphere.<br />

Whereas, carbon dioxide is about .03%. Sadly, we know so little about water vapor and the<br />

heat it generates," Goldstein wrote. (LINK) In a June 29, 2007 blog post, Goldstein<br />

continued his critique of the shortcoming of climate predictions. "Long range forecasts are<br />

often short on reality. Sure, we have great mathematical equations applied to predicting our<br />

weather. But not all is known about our weather. We don't understand how water vapor<br />

comes into the equations, and that is a big deal. Heat sources represent other major<br />

unknowns, after all, heat drives the atmosphere. We make assumptions about these<br />

unknowns, and as long as these fit for the moment, the forecast looks good. But a slight<br />

error will only magnify as the forecast is further extended," Goldstein wrote. "We can get<br />

an idea of a trend, but specifics 30 days or 90 days out are seldom correct. Most of what we<br />

know about the atmosphere was known a hundred years ago. No doubt, technology has<br />

advanced faster than our basic understanding of the atmosphere. There are times when even<br />

a 24-hour forecast leaves something to be desired," he concluded. (LINK)<br />

Dr. Anthony Lupo, Professor of Atmospheric Science, University of Missouri-<br />

Columbia, wrote in a May 18, 2007 email to EPW, "I don't believe that the climate change<br />

issue is an emergency, or that there is compelling evidence to blame humanity for the<br />

current warming. Warming is undoubtedly occurring, but it may have nothing (0%), or a<br />

little (0-10%) to do with human activity." Lupo continued, "There is abundant scientific<br />

evidence demonstrating that the climate changes cyclically on time-scales ranging from a<br />

few years, to hundreds of thousands of years. There is plenty of evidence to suggest that the<br />

climate is not ‗stagnant' either. The climate has been relatively cool for the last few<br />

hundred years and has warmed to levels which are at or below an inferred maximum<br />

approximately <strong>1000</strong> years ago." "There are too many unknowns (e.g., the nature of solar<br />

and internal variability). There are too many things we don't understand about the current<br />

climate (e.g., the carbon cycle, atms - ocean interactions)," he added. Lupo has also<br />

critiqued Gore's movie. "[Gore's] whole tone of this was, ‗We've got to make radical<br />

changes in our lifestyle, and we have to make them now, and that's because the science on<br />

the issue is settled,'" Lupo said in a July 13, 2006 article in the Columbia Tribune. "Well<br />

that's not entirely the case. The science, for one thing, is not settled." Lupo disputes the<br />

reason for warming temperatures and says recent temperatures are within natural<br />

variability. "One thing I can agree with Gore on is the world is getting warmer," he said.<br />

"One thing I can't agree on is the cause." (LINK)<br />

Dr. Thomas P. Sheahen, an MIT educated physicist, author of the book An<br />

Introduction to High-Temperature Superconductivity, and writer of the popular<br />

newspaper column "Ask the Everyday Scientist," dismisses the idea of a "consensus" on<br />

man-made global warming. "We must all remember that scientific truth is not determined<br />

by popular vote. The [UN] IPCC is severely tainted by politics," Sheahen wrote to EPW on<br />

June 11, 2007. "No one disputes that the Earth has been warming over the last 150 years.<br />

The controversy is over whether it's natural or anthropogenic (AGW)," he added. "I have<br />

done computer modeling of physical and chemical phenomena, and I know two things very<br />

well: first, your outputs will always be conditioned by the input assumptions you make at<br />

the front end; and second, data always trumps theory. For a model to be valid, it has to<br />

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