Climate Scientist with Impeccable Credentials Breaks Ranks: ‘Our models are Mickey-Mouse..

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Dr. Mototaka Nakamura received a Doctorate of Science from the Massachusetts Institute of Technology (MIT), and for nearly 25 years specialized in abnormal weather and climate change at prestigious institutions that included MIT, Georgia Institute of Technology, NASA, Jet Propulsion Laboratory, California Institute of Technology, JAMSTEC and Duke University.

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In his book The Global Warming Hypothesis is an Unproven Hypothesis, Dr. Nakamura explains why the data foundation underpinning global warming science is “untrustworthy” and cannot be relied on:

“Global mean temperatures before 1980 are based on untrustworthy data,” writes Nakamura. “Before full planet surface observation by satellite began in 1980, only a small part of the Earth had been observed for temperatures with only a certain amount of accuracy and frequency. Across the globe, only North America and Western Europe have trustworthy temperature data dating back to the 19th century.”

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DATA FALSIFICATION
When arguing against global warming, the hardest thing I find is convincing people of data falsification, namely temperature fudging. If you don’t pick your words carefully, forget some of the facts, or get your tone wrong then it’s very easy to sound like a conspiracy crank (I’ve been there, too).

But now we have Nakamura.

The good doctor has accused the orthodox scientists of “data falsification” in the form adjusting historical temperature data down to inflate today’s subtle warming trend — something Tony Heller has been proving for years on his website realclimatescience.com.

Nakamura writes: “The global surface mean temperature-change data no longer have any scientific value and are nothing except a propaganda tool to the public.”

The climate models are useful tools for academic studies, he admits. However: “The models just become useless pieces of junk or worse (as they can produce gravely misleading output) when they are used for climate forecasting.”

Climate forecasting is simply not possible, Nakamura concludes, and the impacts of human-caused CO2 can’t be judged with the knowledge and technology we currently possess.

The models grossly simplify the way the climate works.

As well as ignoring the sun, they also drastically simplify large and small-scale ocean dynamics, aerosol changes that generate clouds (cloud cover is one of the key factors determining whether we have global warming or global cooling), the drivers of ice-albedo: “Without a reasonably accurate representation, it is impossible to make any meaningful predictions of climate variations and changes in the middle and high latitudes and thus the entire planet,” and water vapor.

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Simply "climate scientist" have minipulated climate data by cooling the past and warming the present to show an upward temperature trend that correlates with CO2 concentrations.

Here is an example of unmanipulated 1999 data compared to the manipulated 2016 data in one gif.


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