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To: Pan_Yan
Dug this out from a URL in the email:

Monckton’s deliberate manipulation

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Filed under:

— gavin @ 2 May 2009

Our favorite contrarian, the potty peer Christopher Monckton has been indulging in a little aristocratic artifice again. Not one to be constrained by mere facts or observable reality, he has launched a sally against Andy Revkin for reporting the shocking news that past industry disinformation campaigns were not sincere explorations of the true uncertainties in climate science.

The letter he has written to the NY Times public editor, with its liberal sprinkling of his usual pomposity, has at its heart the following graph:

Among other issues, it is quite amusing that Monckton apparently thinks that;

The last is even more amusing because he was caught out making stuff up on a slightly different figure just a few weeks ago.

To see the extent of this chicanery, one needs only plot the actual IPCC projections against the observations. This can be done a number of ways, firstly, plotting the observational data and the models used by IPCC with a common baseline of 1980-1999 temperatures (as done in the 2007 report) (Note that the model output is for the annual mean, monthly variance would be larger):

These show clearly that 2002-2009 is way too short a period for the trends to be meaningful and that Monckton’s estimate of what the IPCC projects for the current period is woefully wrong. Not just wrong, fake.

Even if one assumes that the baseline should be the year 2002 making no allowance for internal variability (which makes no sense whatsoever), you would get the following graph:

- still nothing like Monckton showed. Instead, he appears to have derived his ‘projections’ by drawing a line from 2002 to a selection of real projections in 2100 and ignoring the fact that the actual projections accelerate as time goes on, and thus strongly over-estimating the projected changes that are expected now (see here).

Lest this be thought a mere aberration or a slip of his quill, it turns out he has previously faked the data on projections of CO2 as well. This graph is from a recent presentation of his, compared to the actual projections:

How can this be described except as fake?

Apart from this nonsense, is there anything to Monckton’s complaint about Revkin’s story? Sadly no. Once one cuts out the paranoid hints about dark conspiracies between “prejudiced campaigners”, Al Gore and the New York Times editors, the only point he appear to make is that this passage from the scientific advice somehow redeems the industry lobbyists who ignored it:

The scientific basis for the Greenhouse Effect and the potential for a human impact on climate is based on well-established scientific fact, and should not be denied. While, in theory, human activities have the potential to result in net cooling, a concern about 25 years ago, the current balance between greenhouse gas emissions and the emissions of particulates and particulate-formers is such that essentially all of today’s concern is about net warming. However, as will be discussed below, it is still not possible to accurately predict the magnitude (if any), timing or impact of climate change as a result of the increase in greenhouse gas concentrations. Also, because of the complex, possibly chaotic, nature of the climate system, it may never be possible to accurately predict future climate or to estimate the impact of increased greenhouse gas concentrations.

This is a curious claim, since the passage is pretty much mainstream. For instance, in the IPCC Second Assessment Report (1995) (p528):

Complex systems often allow deterministic predictability of some characteristics … yet do not permit skilful forecasts of other phenomena …

or even more clearly in IPCC TAR (2001):

In climate research and modeling, we should recognize that we are dealing with a coupled non-linear chaotic system, and therefore that the long-term prediction of future climate states is not possible. The most we can expect to achieve is the prediction of the probability distribution of the system’s future possible states….

Much more central to the point Revkin was making was the deletion of the sections dealing with how weak the standard contrarian arguments were – arguments that GCC publications continued to use for years afterward (and indeed arguments that Monckton is still using) (see this amendment to the original story).

Monckton’s ironic piece de resistance though is the fact that he entitled his letter “Deliberate Misrepresentation” – and this is possibly the only true statement in it.

 Comments (pop-up) (513)


513 Responses to “Monckton’s deliberate manipulation”


86 posted on 11/20/2009 6:10:40 PM PST by Ernest_at_the_Beach ( Support Geert Wilders)
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To: All; Pan_Yan
Let's see if I can get a Graph to show:

Monckton’s Artful Graph.

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13 January, 2009 (09:50) | Data Comparisons Written by: lucia

Yesterday, VG posted this comment:

Lucia:is this data accurate/true?

Figure 1:  Graph as it appears at Icecap.(Figure by Monckton; I added guidelines and comments.)

Figure 1: Graph as it appears at Icecap.

The image appears at Icecap in an brief article by Christopher Monckton. The brief article includes a link to a 14 page pdf that elaborates on the Viscount’s message.

In this post, I will restrict myself to discussing the implied claims about the IPCC projections for surface temperature in that graph. I’m even going focus on this:

Is the dark lavender line in the middle of the lavender region a fair representation of the IPCC’s projection? (I assume Monckton means the IPCC projection in the AR4.)

I think the answer is: Ehrmm…. no.

What does Monckton’s seem communicate about IPPC projections?

I think Monckton’s figure suggests the IPCC projected that between Jan 2001 and Dec 2008 the underlying trend for surface temperature was more or less linear with a trend of approximately 0.35 C/decade.. I say it appears to suggest this because a) it shows this specific time period and b) the slope of the lavender line is about 0.35 C/decade.

The suggestion of linearity is essentially true; the suggestion that the trend is 0.35 C/decade over that period of time is, at best, deceptive. Maybe we could call it “artful”.

What did the IPCC really project?

The IPCC projection as communicated in figure 10.4 of the WG1 report to the AR4 creates a projection for the underlying trend (or expected value of the surface temperature) by averaging over all models used. This results in a more-or less smoothly varying function.

For short periods of time this smoothly varying function can be treated as approximately linear. So, I have no objections to Monckton’s decision to show a linear trend between 2001-2008.

However…. 0.35C/decade? For this decade? Where does he get that? As far as I can tell, the claim for this trend appears on page 4 of the pdf, where Monckton inserts a figure explained by this caption:

I’ve scanned the rest of the article for further discussion to justify the rend of approximately 0.35 C/decade in Monckton’s graph. The numerical value 0.35 C/decade bothers me because:

  1. Figure 10.4 in the Chapter 10 of the WG1 of the AR4 shows non-linearity for every scenarios, and all scenarios show trends closer to 0.2 C/decade during the period in Monckton’s graphs.
    Figure 2: Figure 10.4 from WG1 to the AR4 (annotated).

    Figure 2: Figure 10.4 from WG1 to the AR4 (annotated).

  2. Table 10.5 in Chapter 10 of the WG1 of the AR4 contains numerical projections for that corresponds to trends of 0.21 C/decade, 0.23 C/decade and 0.22 C/decade for scenarios a2, a1b and b1 respectively during the early portion of this century. Higher trends are justified later in the century but are irrelevant to when comparing 2001-2008 data to IPCC projections.
  3. On page 12 of the Summary for Policy Makers of the WG1, the authors says we expect about 0.2 C per decade of warming over the next two decades.
  4. In the past, when I have interpreted all the above to mean the authors projected the underlying trend to be about 0.2C per decade and used 0.2 per decade when comparing to projections to data.

    I have been criticized and told that I must use the average based on the actual model runs.

    In response to that criticism, I obtained the monthly average GMST for those runs, and happen to know magnitude of trends we obtain if we average over runs forced with the SRES a1b scenarios. I computed trends for Jan 2001-Nov. 2008, then averaged trends weighting several ways. If I weight each run equally, I obtain an average trend of 0.25 C/decade. If I weight each model average equally, I obtain an average trend of 0.26 C/decade. (Note: this includes a few models not used in the AR4 and is based on models I downloaded from The Climate Explorer.)


92 posted on 11/20/2009 6:20:36 PM PST by Ernest_at_the_Beach ( Support Geert Wilders)
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