Carlin Economics and Science

With emphasis on climate change

Why Climate Alarmist Reports Should Be Ignored Where They Use Bad Methodology and Data

Like other liberal news outlets, the New York Times has been busy printing unapproved internal Trump Administration material this year. On August 8, 2017 they printed a Draft Report as part of a new National Climate Assessment. It was prepared primarily during the Obama Administration by a Federal inter-agency group and is still residing on an outside server from an earlier public comment period. They concluded, among other things, that “Many lines of evidence demonstrate that human activities, especially emissions of greenhouse (heat-trapping) gases, are primarily responsible for recent observed climate change.”

The problem is not that the viewpoints expressed are new or useful or that the draft was not already available; rather they represent a rather tired repetition of the usual climate alarmist ideology with only occasional updates. This is unfortunate since it is becoming ever clearer that the ideology has become scientifically indefensible and needs to be abandoned in favor of a new approach to climate science.

Perhaps the Most Basic Problem

Perhaps the most basic problem with this Draft Report, like most of the major Climate Industrial Complex (CIC) reports, is that it primarily depends for its justification on the IPCC’s bottom-up global climate models (as they discuss in Section 4.3 of the Draft Report). The Draft Report shows that the climate alarmists have by no means given up their horrifically expensive and misguided crusade to reduce carbon dioxide (CO2) emissions, despite that the alarmists’ very extensive attempt to justify it is hopeless.

Not only is their conclusion that global warming is primarily due to human activity, but also that temperatures will increase significantly because of increases in anthropogenic atmospheric CO2. Their basic methodology is based on the UN Intergovernmental Panel on Climate Change’s (IPCC’s) analyses conducted over many years. The Heartland Institute has gone to great effort to point out many of the problems and inconsistencies in the conclusions reached using these models. But it is increasingly clear why the IPCC has been having a hard time explaining the increasing divergence between their models and actual temperatures. One of the basic problems is that alarmists have always used a bottom-up approach in their methodology (which is to aggregate the results for individual geographic areas based on the application of subjective physical relationships between various physical effects). This approach cannot produce valid results no matter how much is spent on it, how often it is repeated, or how large the climate models they use. As Mike Jonas has recently written:

    In this very uncertain world of climate, one thing is just about certain: No bottom-up computer model will ever be able to predict climate. We learned above [in the article this was excerpted from] that there isn’t enough computer power now even to model GCRs [galactic cosmic rays], let alone all the other climate factors. But the issue of computer model ability goes way beyond that. In a complex non-linear system like climate, there are squillions of situations where the outcome is indeterminate. That’s because the same influence can give very different results in slightly different conditions. Because we can never predict the conditions accurately enough – in fact we can’t even know what all the conditions are right now – our bottom-up climate models can never ever predict the future. And the climate models that provide guidance to governments are all bottom-up.

The bottom-up GCM was a bad approach from the start and should never have been paid for by the taxpayers. All that we have are computer models that were designed and then tuned to lead to the IPCC’s desired answers and have had a difficult time even doing that.

So not only are the results claiming that global temperatures are largely determined by atmospheric CO2 wrong, but the basic methodology is useless. Climate is a coupled, non-linear chaotic system, and the IPCC agrees that this is the case. It cannot be usefully modeled by using necessarily limited models which assume the opposite.

An Entirely New Approach Is Needed

Despite repeated claims by climate alarmists that climate science is settled, nothing could be further from the case. In fact, an entirely new approach is needed if much progress is to be made in characterizing and understanding the climate system. This approach must be a top-down rather than a bottom-up approach. To my knowledge, only one such study (and earlier versions thereof) exists taking this approach, which I will call the 2017 WCD report after the authors’ last names. And it appears to give plausible results. It says that CO2 does not have a significant effect on global temperatures and that global temperatures can be fully explained since about 1960 by entirely natural factors and do not require any human activity to explain what has occurred. This rules out many if not most of the Draft Report’s conclusions.

A second very recent report including two of the same authors as WCD 2017 concludes that the keepers of the official global surface temperature records have repeatedly “adjusted” them to the point that they are no longer representative of the underlying data. Accordingly, the authors argue that the data used in the Draft Report from surface temperature sources and the conclusions reached from using this data are too unreliable for policy use.

The Time Has Come to Abandon the IPCC’s Bottom-up Approach and Correct the Basic Data Used Before Further Expenditures Are Made

It is time to totally abandon the IPCC’s bottom-up climate models as an ultra expensive sunk cost and start over. The 2017 WCD report would be a good place to start in redoing the basic climate analyses. Until this is done, little progress is possible in many of the major issues in climate science, and no further expenditures should be made responding to climate alarmism until the new methodology has been thoroughly tested and the basic surface temperature data has been reconstituted in a useful form. The mistaken choice of methodology has ended up costing taxpayers tens of billions in research costs and has reportedly resulted in about $1.5 trillion per year for renewable and related construction, which needs to be written off too.

I recommend that the Trump Administration issue the Draft Report with an added section explaining how useless and biased the rest of the Draft Report is because it primarily relies on meaningless model results and unreliable surface temperature data. If such a combined report were issued it would be one of the first government reports anywhere to seriously question the IPCC’s results, and has long been needed. Scientific hypotheses and data that have never been rigorously tested are not fit to be used for public policy purposes, and particularly for those involving multi-trillion expenditures per year.

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[…] So not only are the results claiming that global temperatures are largely determined by atmospheric CO2 wrong, but the basic methodology is useless. Climate is a coupled, non-linear chaotic system, and the IPCC agrees that this is the case. It cannot be usefully modeled by using necessarily limited models which assume the opposite. Read more […]

[…] So not only are the results claiming that global temperatures are largely determined by atmospheric CO2 wrong, but the basic methodology is useless. Climate is a coupled, non-linear chaotic system, and the IPCC agrees that this is the case. It cannot be usefully modeled by using necessarily limited models which assume the opposite. Read more […]

just beau

Terrific essay, soberly written, full of facts. $1.5T per year for renewable and related construction is a great deal of money.
By thoroughly examining so many aspects of this multi-tentacled topic, thanks to years of diligent effort, Doctor Carlin is summon up salient facts and cover a lot of ground within brief weekly essays that says lot. Very impressive.

Just beau

The President may be on verge of significant progress with China on North Korea. This only owes to being as tough as nails against a hideous threat to the United States and to the world.
If this comes to pass, and trump should not let down his vigilance until it does, then there should be spinoff benefits regarding a faux risk championed by Obama and Gore.
Trumo takes on a massive genuine problem and is en route to making the world safer, while democrats invent a specious problem to make the US and some of its allies poorer.

That provides a remarkable contrast and should not go unnoticed even among those gullible enough to have previously fallen hook line and sinker for global warming follies and frauds.

Norman Page

NATURAL CYCLES DRIVE CLIMATE CHANGE.
Climate is controlled by natural cycles. Earth is just past the 2003+/- peak of a millennial cycle and the current cooling trend will likely continue until the next Little Ice Age minimum at about 2650.See the Energy and Environment paper at http://journals.sagepub.com/doi/full/10.1177/0958305X16686488
and an earlier accessible blog version at http://climatesense-norpag.blogspot.com/2017/02/the-coming-cooling-usefully-accurate_17.html
Here is the abstract:
“ABSTRACT
This paper argues that the methods used by the establishment climate science community are not fit for purpose and that a new forecasting paradigm should be adopted. Earth’s climate is the result of resonances and beats between various quasi-cyclic processes of varying wavelengths. It is not possible to forecast the future unless we have a good understanding of where the earth is in time in relation to the current phases of those different interacting natural quasi periodicities. Evidence is presented specifying the timing and amplitude of the natural 60+/- year and, more importantly, 1,000 year periodicities (observed emergent behaviors) that are so obvious in the temperature record. Data related to the solar climate driver is discussed and the solar cycle 22 low in the neutron count (high solar activity) in 1991 is identified as a solar activity millennial peak and correlated with the millennial peak -inversion point – in the UAH6 temperature trend in about 2003. The cyclic trends are projected forward and predict a probable general temperature decline in the coming decades and centuries. Estimates of the timing and amplitude of the coming cooling are made. If the real climate outcomes follow a trend which approaches the near term forecasts of this working hypothesis, the divergence between the IPCC forecasts and those projected by this paper will be so large by 2021 as to make the current, supposedly actionable, level of confidence in the IPCC forecasts untenable.”
The forecasts in Fig 12 of my paper are similar to those in Ludecke et al.
It is well past time for a paradigm shift in the forecasting methods used by establishment climate science. The whole dangerous global warming delusion is approaching collapse

Ludecke etal also emphasizes the importance of the Millennial Cycle and support my forecasts of a coming long term cooling .
Harmonic Analysis of Worldwide Temperature Proxies for 2000 Years
Horst-Joachim Lüdecke1, *, Carl-Otto Weiss2
The Open Atmospheric Science Journal
ISSN: 1874-2823 ― Volume 11, 2017
Year: 2017
Volume: 11
First Page: 44
Last Page: 53
Publisher Id: TOASCJ-11-44
DOI: 10.2174/1874282301711010044
“Abstract
The Sun as climate driver is repeatedly discussed in the literature but proofs are often weak. In order to elucidate the solar influence, we have used a large number of temperature proxies worldwide to construct a global temperature mean G7 over the last 2000 years. The Fourier spectrum of G7 shows the strongest components as ~1000-, ~460-, and ~190 – year periods whereas other cycles of the individual proxies are considerably weaker. The G7 temperature extrema coincide with the Roman, medieval, and present optima as well as the well-known minimum of AD 1450 during the Little Ice Age. We have constructed by reverse Fourier transform a representation of G7 using only these three sine functions, which shows a remarkable Pearson correlation of 0.84 with the 31-year running average of G7. The three cycles are also found dominant in the production rates of the solar-induced cosmogenic nuclides 14C and 10Be, most strongly in the ~190 – year period being known as the De Vries/Suess cycle. By wavelet analysis, a new proof has been provided that at least the ~190-year climate cycle has a solar origin.”
The paper also states “……G7, and likewise the sine representations have maxima of comparable size at AD 0, 1000, and 2000. We note that the temperature increase of the late 19th and 20th century is represented by the harmonic temperature representation, and thus is of pure multiperiodic nature. It can be expected that the periodicity of G7, lasting 2000 years so far, will persist also for the foreseeable future. It predicts a temperature drop from present to AD 2050, a slight rise from 2050 to 2130, and a further drop from AD 2130 to 2200 (see Fig. 3), upper panel, green and red curves.”
The EPA therefore has available for immediate use a forecasting method which is not based on the bottom up approach of the IPCC modellers which is inherently useless.

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