Scientist’s Confession: Climate “Models Have “Serious Flaws”… Confident Others Will Speak Up On “Fraudulent Claims”

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Now in English…

An eye-opener book by Japanese MIT climate scientist now partly available in English at Kindle.

MIT climate scientist Dr. Mototaka Nakamura’s writes global warming data are “untrustworthy”, “falsified”.  Image: http://iprc.soest.hawaii.edu/

Not long ago we reported on a recently released book authored by Dr. Mototaka Nakamura, a scientist who received his doctorate from MIT and worked at NASA: “Confessions of a climate scientist The global warming hypothesis is an unproven hypothesis“.

After that post, I personally urged Dr. Nakamura to write the book in English.

Today I am very pleased to announce that a newly released Kindle version is now available with the important parts in English. You can download it for free for a limited time.

Please do download it! The English parts are within the Japanese text.

“Untrustworthy” and “falsified” data

In the book Dr. Nakamura writes how in the 1980s he became “seriously concerned about the predicted ‘catastrophic global warming due to the increasing carbon dioxide in the atmosphere'” and how the issue motivated him to study the atmospheric and oceanic sciences at the North Carolina State University and the Massachusetts Institute of Technology and to become a climate scientist.

Ironically, rather than finding any robust scientific basis underpinning the hypothesis, Dr. Nakamura wound discovering just how “untrustworthy” and “falsified”  the data behind global warming really are.

“We also do not know for certain how the earth’ s climate has changed in the past 100 years or longer, although we do know well how regional climate has changed in limited regions, such as Europe, North America, and some parts of Asia,” he writes. “A quasi-global observation system has been operating only for 50 years or so, since the advent of artificial satellite observation. Temperature data before then were collected over extremely small (with respect to the earth’ s entire surface area) areas and, thus, have severe spatial bias.”

Confident other scientists will speak up on “fraudulent claims”

On whether other scientists will speak up, Nakamura wrote that he is confident that “some honest and courageous true climate scientists will continue to publicly point out the made by the ‘mainstream climate science community'”.

As an expert, Dr. Nakamura also believes that the climate simulation models used for climate change predictions have two “serious flaws” among many. One “fatally serious flaw” is the oceanic component of the models and the “grossly oversimplified and problematic representations of the atmospheric water vapor”.

Nothing except a propaganda tool

Dr. Nakamura concludes that the “global surface mean temperature change data no longer have any scientific value and are nothing except a propaganda tool to the public.”

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12 responses to “Scientist’s Confession: Climate “Models Have “Serious Flaws”… Confident Others Will Speak Up On “Fraudulent Claims””

  1. Georg Thomas

    Not intended for publication, delete this “comment” once you have taken note of and perhaps acted on it.

    From the above text:

    And also from the above text:

  2. Georg Thomas

    Not intended for publication, delete this “comment” once you have taken note of and perhaps acted on it.

    From the above text:

    On whether other scientists will speak up, Nakamura wrote that he is confident that “some honest and courageous true climate scientists will continue to publicly point out the [something’s missing here] made by the ‘mainstream climate science community’”

    And also from the above text:

    One “fatally serious flaw” is the oceanic component of the models and [in addition to/plus/as well as/the other comes in the form of/the other is owing to/the other is due to] the “grossly oversimplified and problematic representations of the atmospheric water vapor”.

  3. tom0mason

    Water in all it forms is the huge hole in our knowledge (see http://www1.lsbu.ac.uk/water/water_anomalies.html for more of water’s peculiarities).
    NO ONE ‘knows’ how or why clouds form and disperse as they do. Long term, NO ONE knows and can predict with good accuracy, where and when it will rain, or snow, or even have droughts. Ocean flows require more research before predictions of what oceans do over decades, centuries, or longer are good enough for them to be modeled with any accuracy and confidence.

    The climate models are nothing but a mirage, and like all mirages what you see is not reality. Certainly multi-trillion dollar changes to the world’s economies and social structure should NOT be made on the back of results from these computerized fiction factories.

    As V. Krishnamurthy say much in his report ‘Predictability of Weather and Climate’ (https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019EA000586 )

    The paper highlights the FACT that all these models have a nasty tendency to multiply up the errors until their outputs are unusable, with results that rapidly head towards unreal and unstable weather and climate predictions/projection.

    While the growing recognition of seamless prediction of weather and climate seems to be a desirable goal, some fundamental questions about the predictability of climate need to be addressed. With the present‐day models being incapable of predicting the instantaneous states beyond the weather time scale, there is a need to find answers for what is predictable at the climate scale and to identify the sources of long‐range predictability of climate. The optimism for long‐range predictability of climate comes from the existence of slowly varying components such as SST and soil moisture and more regularly varying oscillations such as monsoon ISOs, MJO, and ENSO. Instead of instantaneous states, the predictability of time‐averaged variability, the embedded nonlinear oscillations, and signals associated with persisting modes of climate must be investigated. The recent study employing the phase reconstruction method demonstrated that there is reliable long‐range predictability of monsoon ISO. Certain aspects of climate variability at intraseasonal and seasonal time scales can be predicted at extended range, and therefore, the predictability of phenomena such MJO and ENSO must be investigated. Ultimately, the prediction at the climate time scale must be made by global climate models. The demonstration of the predictability of climate by simple models brings optimism for better forecasts by operational models when they are capable of properly representing the sources of long‐range predictability. For example, a major problem with the operational model in predicting the monsoon ISO is the failure of the model to correctly capture the initial phase of the oscillation. Therefore, investigations with simple models and newer methods may shed light on the sources of climate predictability and the problems that need to be addressed by operational centers.

    [My bold, emphasizing some the deficiencies highlighted in this paper.]

    Basically for anything more than the gross overall features of weather or climate over the long term long term, these models projection/prediction for details are failures. All-in-all, for weather models 10 days is the limit, for climate models 1-3 years(!) is about it, certainly NOT even a decade.

  4. Mike Thurn

    Thank you Mototaka Nakamura for having the courage to expose this heinous hoax perpetrated on mankind.

    I look forward to reading your book and sharing your story with others.

    Cheers
    Mike Thurn

  5. Vincenzo Ferretti

    Oh yeah, let’s trust this eccentric. Too funny. LOL!

    1. tom0mason

      Who are you on about, M Mann?

      (I ask this in the full knowledge that you’ll not return to answer.)

    2. Drew

      Trollogy 101.

  6. CO2isLife

    The Hockeystick, on which all this nonsense if dependent, makes a sharp Dog Leg in 1902. You can do to NASA GISS and filter for all the stations that existed in 1901, along with their BI. Simply identify Weather Stations that have been in existence since 1902 and have a BI of 10 or less. 10 or less implies a rural station largely removed from the Urban Heat Island Effect. What you will find is that if you control for the Urban Heat Island Effect there has been no warming over the past 117 years. CO2 increased from around 296 to 410 today, and it had no impact of temperatures of stations with BIs 10 and below. Every kid should be doing this experiment in their High Schools.

    Here is the Site: Choose the Weather Station Alice Springs (23.8S, 133.88E) ID:501943260000 as a perfect example
    https://data.giss.nasa.gov/gistemp/station_data_v3/

  7. David Cameron

    Unfortunately, as long as the doomsday money keeps flowing it’s far too optimistic to hope that more scientists will come out of the closet and admit the alleged science is a scam

  8. Weekly Climate and Energy News Roundup #377 | Watts Up With That?
  9. Weekly Climate and Energy News Roundup #377 - Scienceexist
  10. Weekly Local weather and Power Information Roundup #377 – All My Daily News

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