Climate science is ‘ancient astrology’, claims report
Japanese scientists have made a dramatic break with the UN and Western-backed hypothesis of climate change in a new report from its Energy Commission.
Three of the five researchers disagree with the UN’s IPCC view that recent warming is primarily the consequence of man-made industrial emissions of greenhouse gases. Remarkably, the subtle and nuanced language typical in such reports has been set aside.
One of the five contributors compares computer climate modelling to ancient astrology. Others castigate the paucity of the US ground temperature data set used to support the hypothesis, and declare that the unambiguous warming trend from the mid-part of the 20th Century has ceased.
The report by Japan Society of Energy and Resources (JSER) is astonishing rebuke to international pressure, and a vote of confidence in Japan’s native marine and astronomical research. Publicly-funded science in the West uniformly backs the hypothesis that industrial influence is primarily responsible for climate change, although fissures have appeared recently. Only one of the five top Japanese scientists commissioned here concurs with the man-made global warming hypothesis.
JSER is the academic society representing scientists from the energy and resource fields, and acts as a government advisory panel. The report appeared last month but has received curiously little attention. So The Register commissioned a translation of the document – the first to appear in the West in any form. Below you’ll find some of the key findings – but first, a summary.
Summary
Three of the five leading scientists contend that recent climate change is driven by natural cycles, not human industrial activity, as political activists argue.
Kanya Kusano is Program Director and Group Leader for the Earth Simulator at the Japan Agency for Marine-Earth Science & Technology (JAMSTEC). He focuses on the immaturity of simulation work cited in support of the theory of anthropogenic climate change. Using undiplomatic language, Kusano compares them to ancient astrology. After listing many faults, and the IPCC’s own conclusion that natural causes of climate are poorly understood, Kusano concludes:
“[The IPCC’s] conclusion that from now on atmospheric temperatures are likely to show a continuous, monotonic increase, should be perceived as an unprovable hypothesis,” he writes.
Shunichi Akasofu, head of the International Arctic Research Center in Alaska, has expressed criticism of the theory before. Akasofu uses historical data to challenge the claim that very recent temperatures represent an anomaly:
“We should be cautious, IPCC’s theory that atmospheric temperature has risen since 2000 in correspondence with CO2 is nothing but a hypothesis. “
Akasofu calls the post-2000 warming trend hypothetical. His harshest words are reserved for advocates who give conjecture the authority of fact.
“Before anyone noticed, this hypothesis has been substituted for truth… The opinion that great disaster will really happen must be broken.”
Key Passages Translated:
What is the source of the rise in atmospheric temperature in the second half of the 20th century?
Shunichi Akasofu
[Founding Director of the International Arctic Research Center of the University of Alaska Fairbanks (UAF)
Introductory discussion.
Point 1.1: Global Warming has halted
Global mean temperature rose continuously from 1800-1850. The rate of increase was .05 degrees Celsius per 100 years. This was mostly unrelated to CO2 gas (CO2 began to increase suddenly after 1946. Until the sudden increase, the CO2 emissions rate had been almost unchanged for 100 years). However, since 2001, this increase halted. Despite this, CO2 emissions are still increasing.
According to the IPCC panel, global atmospheric temperatures should continue to rise, so it is very likely that the hypothesis that the majority of global warming can be ascribed to the Greenhouse Effect is mistaken. There is no prediction of this halt in global warming in IPCC simulations. The halt of the increase in temperature, and slight downward trend is “something greater than the Greenhouse Effect,” but it is in effect. What that “something” is, is natural variability.
From this author’s research into natural (CO2 emissions unrelated to human activity) climate change over the past 1000 years, it can be asserted that the global temperature increase up to today is primarily recovery from the “Little Ice Age” earth experienced from 1400 through 1800 (i.e. global warming rate of change?0.5?/100).
The recovery in temperatures since follows a naturally variable 30-50 year cycle, (quasi-periodic variations), and in addition, this cycle has been positive since 1975, and peaked in the year 2000. This quasi-periodic cycle has passed its peak and has begun to turn negative.
(The IPCC ascribes the positive change since 1975, for the most part, to CO2 and the Greenhouse Effect.) This quasi-periodic cycle fluctuates 0.1 degrees C per 10 years, short term (on the order of 50 years). This quasi-periodic cycle’s amplitude is extremely pronounced in the Arctic Circle , so it is easy to understand. The previous quasi-periodic cycle was positive from 1910 to 1940 and negative from 1940 to 1975 (despite CO2 emissions rapid increase after 1946).
Regardless of whether or not the IPCC has sufficiently researched natural variations, they claim that CO2 has increased particularly since 1975. Consequently, after 2000, although it should have continued to rise, atmospheric temperature stabilised completely (despite CO2 emissions continuing to increase). Since 1975 the chances of increase in natural variability (mainly quasiperiodic vibration) are high; moreover, the quasiperiodic vibration has turned negative. For that reason, in 2000 Global Warming stopped, after that, the negative cycle will probably continue.
Regarding the current temporary condition (la Nina) JPL observes a fluctuation of the quasiperiodic cycle [JSER editor’s note: this book is is still being proofed as of 12/19]. So we should be cautious, IPCC’s theory that atmospheric temperature has risen since 2000 in correspondence with CO2 is nothing but a hypothesis.
They should have verified this hypothesis by supercomputer, but before anyone noticed, this hypothesis has been substituted for “truth”. This truth is not observationally accurate testimony. This is sidestepping of global warming theory with quick and easy answers, so the opinion that a great disaster will really happen must be broken.
It seems that global warming and the halting of the temperature rise are related to solar activity. Currently, the sun is “hibernating”. The end of Sunspot Cycle 23 is already two years late: the cycle should have started in 2007, yet in January 2008 only one sunspot appeared in the sun’s northern hemisphere, after that, they vanished completely (new sunspots have now begun to appear in the northern hemisphere). At the current time, it can clearly be seen there are no spots in the photosphere. Lately, solar winds are at their lowest levels in 50 years. Cycle 24 is overdue, and this is is worrisome.
So, have there been other historical periods with an absence of sunspots? As a matter of fact, from 1650 to 1700 approximately, there were almost no sunspots. This time period has been named for the renown English astronomer Maunder, and is called the Maunder Minimum.
There is a relationship between transported energy and the light emissions from the photosphere and sunspots. It was thought that times of few sunspots are times of lower energy. Satellites were launched in 1980 to research this, and results were contrary to expectations. It became clear that these times were more energetic than periods of high sunspots. Periods of low sunspots have vigorous solar activity. The total change during sunspot cycles is usually .0.1%, from the Maunder Minimum to today the increase is .05%. The Maunder Minimum fell in the middle of the period of 1400-1800, the Little Ice Age, and it was theorized that this was due to a cut in solar emissions. The theory is that solar activity began to increase after that, and from 1800 global warming increased and recovery from the Little Ice Age began.
But sunspot change and climate change are not clearly correlated. Rather, the cycle was not the punctual 11 years, scientific research indicates that climate change is related to that change. Furthermore, according to the IPCC’s computational investigation, this energy increase does not significantly contribute to global warming. But then, the IPCC insists that current global warming correlates to CO2, solar influence is estimated as minimal, this calculation should be redone. This 0.1-0.5% is an enormous sum of energy. The energy of solar emissions is not just light from the photosphere. Solar winds cause geomagnetic storms, yet comparisons of solar wind and light energy to particle emissions are rarely carried out. Research into the relationship between geomagnetic storms and climate change has been undertaken for almost 100 years. However, because during this time, this simple correlation has not been seen, no conclusion has been reached. The super-hot temperatures of geomagnetic storms higher than 100 kilometers have increased, and the chances of the stratospheric and tropospheric transference are low.
Through the 11 year sunspot cycle, ultraviolet rays vary considerably, the ionosphere and ozone layer are affected. Whether or not this affects the troposphere is unknown. More research is necessary. On the other hand, cosmic rays continuously fall, it seems that they constantly seed comparatively low clouds. The solar system may shield us somewhat from Geomagnetic storms caused by solar winds, so called “magnetic clouds” may shield us from extrasolar cosmic rays, so solar activity and climate are in a complex relationship.
In this way, climate change and solar activity’s relationship is inconclusive. It is necessary to increase research efforts into the relationship between Earth’s climate fluctuations and solar activity.
Predicting the Future with Numerical Simulation
Kanya Kusano, Japan Agency for Marine-Earth Science & Technology (JAMSTEC)
Numerical simulation by forecast models are generally classified as theoretical models and empirical models. The former follows universal laws and carries out predictive calculations, the latter makes models that are thought to be realistic from data of phenomenon. These two methods cannot be strictly differentiated, generally experiential methods gradually become theoretical methods, finally becoming the generally accepted dogma.
Celestial mechanics originated in astrological prediction of solar and lunar eclipses, calendars were experiential predictions; mechanistic theory evolved when we reached an era of accurate computation. Consequently, the predictability of celestial mechanics became extremely high and practical estimates gave way to proof. Similarly, modern Global Climate Models still largely dependent on empirical models. Fundamental principles, therefore must resolve very complex physical/chemical/biological processes and phenomenon. That is why many artificial optimization operations (parameterization tuning) are needed, or we will not be able to reproduce the phenomenon. Because of this, besides mathematical accuracy, the people who construct models’ choice of processes and optimum operating guidelines will have large scale effects on the calculated results.
1. Scientific Understanding and Uncertainty
When constructing models, if our scientific understanding is poor, we are not able to capture the model. But we should pay attention to the importance of the naturally occurring processes when our scientific understanding is not yet clearly decided.
In the IPCC’s 4th Evaluation Report, a few potentially major processes were discussed; but [since] scientific understanding was too low to decide, the evaluation of these was omitted. In order to scientifically understand the uncertainty of accurate estimates according to the potential importance of these processes, “the cause of lack of scientific understanding and uncertainty” must be assessed.
Finally, uncertainty estimates should be included. For example, the effect of variances in cosmic ray activity on clouds, caused by sunspot activity, solar flares accompanied by energetic protons striking the upper atmosphere and generating NOx and ozone effects [*], etc., are not sufficiently understood and incorporated into the models.
Also, there are great uncertainties in reproducing historical TSI (Total Solar Irradiance), TSI fluctuation and spectral change related climate sensitivity estimates are inadequate.
2. The limits of modeling aerosols and clouds
The indirect effect of aerosols and aerosol generation as the greatest uncertainty is becoming widely recognized, but fundamental, naturally spontaneous (especially oceanic) aerosols are not yet well understood. Dimethyl sulfide (DMS: CH3SCH3) of biological origin is thought to be a primary source of sulphuric aerosol formation over oceans, but the process of cloud cores forming from DMS is not sufficiently understood. According to recent physical models, the percentage of involvement of cosmic ray ionization processes is not well understood.
Furthermore, the types of aerosols and the ways they affect climate systems are not well understood. The increasing number of aerosols, in this case, augments precipitation, but if it increases too much, water droplet diameter will decrease and cloud generation will be renewed, and the albedo will be changed significantly. Thus, the fine-scale physical processes of clouds causing feedback in geological climate fluctuation now clearly points at this as a decisively material effect.
However, the discussion of the properties and life span of aerosols in clouds in the IPCC 4th Evaluation Report is inadequate.
3. Predictability and estimation rules
The 4th Evaluation Report is confident of the reliability of its assessment that previous data does not differ from its model. But a more effectively persuasive assessment of its predictive ability has not come forth. This is like the ancient Greek Thales predicting solar eclipses, future predictions should be tested in practice. Again, by means of short metaphase models and domain models, future information feedback can be isolated in hindcast experiments (reproducing the past according to the model) and quantitatively compared to long term climate predictions assessments.
4. Conclusion: Anthropogenic global warming theory still hypothetical
To summarize the discussion so far, compared to accurately predicting solar eclipses by celestial mechanics theoretical models, climate models are still in the phase of reliance on trial and error experiential models. There are still no successful precedents. The significance of this is that climate change theory is still dominated by anthropogenic greenhouse gas causation; the IPCC 4th Evaluation Report’s conclusion that from now on atmospheric temperatures are likely to continuously, monotonously increase, should be perceived as an unprovable hypothesis; it will be necessary investigate further and to evaluate future predictions as subject to natural variability.
[Translation by Charles Eicher.]
By Andrew Orlowski ([email protected])
Posted in Environment, 25th February 2009 12:23 GMT
Source: The Register