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about Gavin Schmidt

Gavin Schmidt is a climate modeler, working for NASA and with Columbia University.

Yamalian yawns

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Steve McIntyre is free to do any analysis he wants on any data he can find. But when he ladles his work with unjustified and false accusations of misconduct and deception, he demeans both himself and his contributions. The idea that scientists should be bullied into doing analyses McIntyre wants and delivering the results to him prior to publication out of fear of very public attacks on their integrity is ludicrous.

By rights we should be outraged and appalled that (yet again) unfounded claims of scientific misconduct and dishonesty are buzzing around the blogosphere, once again initiated by Steve McIntyre, and unfailingly and uncritically promoted by the usual supporters. However this has become such a common occurrence that we are no longer shocked nor surprised that misinformation based on nothing but prior assumptions gains an easy toehold on the contrarian blogs (especially at times when they are keen to ‘move on’ from more discomforting events).

So instead of outrage, we’ll settle for simply making a few observations that undermine the narrative that McIntyre and company are trying to put out.
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Updating the CRU and HadCRUT temperature data

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The latest incarnation of the CRUTEM land surface temperatures and the HadCRUT global temperatures are out this week. This is the 4th version of these products, which have undergone a number of significant changes over that time and so this is a good opportunity to discuss how and why data products evolve and what that means in the bigger scheme of things.

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Misrepresentation from Lindzen

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Richard Lindzen is a very special character in the climate debate – very smart, high profile, and with a solid background in atmospheric dynamics. He has, in times past, raised interesting critiques of the mainstream science. None of them, however, have stood the test of time – but exploring the issues was useful. More recently though, and especially in his more public outings, he spends most of his time misrepresenting the science and is a master at leading people to believe things that are not true without him ever saying them explicitly.

However, in his latest excursion at a briefing at the House of Lords Commons in the UK, among the standard Lindzen arguments was the following slide (which appears to be a new addition):

What Lindzen is purporting to do is to compare the NASA GISS temperature product from 2012 to the version in 2008 (i.e. the y-axis is the supposedly the difference between what GISS estimated the anomaly to be in 2012 relative to 2008). A rising trend would imply that temperatures in more recent years had been preferentially enhanced in the 2012 product. The claim being made is that NASA GISS has ‘manipulated’ (in a bad way) the data in order to produce an increasing trend of global mean temperature anomalies (to the tune of 0.14ºC/Century compared to the overall trend of 0.8ºC/Century) between the 2008 and 2012 versions of the data, which are apparently shown subtracted from each other in Lindzen’s figure. Apparently, this got ‘a big laugh’ at his presentation.

However, this is not in the least bit true: the data are not what he claims, the interpretation is wrong, and the insinuations are spurious.

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2011 Updates to model-data comparisons

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And so it goes – another year, another annual data point. As has become a habit (2009, 2010), here is a brief overview and update of some of the most relevant model/data comparisons. We include the standard comparisons of surface temperatures, sea ice and ocean heat content to the AR4 and 1988 Hansen et al simulations.
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The AR4 attribution statement

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Back in 2007, the IPCC AR4 SPM stated that:

“Most of the observed increase in global average temperatures since the mid-20th century is very likely due to the observed increase in anthropogenic greenhouse gas concentrations.”

This is a clear statement that I think is very well supported and correctly reflects the opinion of most climate scientists on the subject (and was re-affirmed in two recent papers (Jones and Stott, 2011;, Huber and Knutti, 2011)). It isn’t an isolated conclusion from a single study, but comes from an assessment of the changing patterns of surface and tropospheric warming, stratospheric cooling, ocean heat content changes, land-ocean contrasts, etc. that collectively demonstrate that there are detectable changes occurring which we can attempt to attribute to one or more physical causes.

Yet, in a paper just out in BAMS (Curry and Webster, 2011) this statement is apparently evidence that IPCC is unable to deal with uncertainty. Furthermore, Judith Curry has reiterated on her blog that the term ‘most’ is imprecise and undefined. For instance:

Apart from the undefined meaning of “most” in AR4 (which was subsequently clarified by the IPCC), the range 50.1-95% is rather imprecise in the context of attribution.

However, Curry’s argument is far from convincing, nor is it well formed (why is there a cap at 95%?). Nor was it convincing when I discussed the issue with her in the comments at Collide-a-Scape last year where she made similar points. Since the C&W paper basically repeats that argument (as has also been noticed by Gabi Hegerl et al who have a comment on the paper (Hegerl et al.)), it is perhaps worth addressing these specific issues again.
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References

  1. G.S. Jones, and P.A. Stott, "Sensitivity of the attribution of near surface temperature warming to the choice of observational dataset", Geophysical Research Letters, vol. 38, pp. n/a-n/a, 2011. http://dx.doi.org/10.1029/2011GL049324
  2. M. Huber, and R. Knutti, "Anthropogenic and natural warming inferred from changes in Earth’s energy balance", Nature Geoscience, vol. 5, pp. 31-36, 2011. http://dx.doi.org/10.1038/ngeo1327
  3. J.A. Curry, and P.J. Webster, "Climate Science and the Uncertainty Monster", Bulletin of the American Meteorological Society, vol. 92, pp. 1667-1682, 2011. http://dx.doi.org/10.1175/2011BAMS3139.1
  4. G. Hegerl, P. Stott, S. Solomon, and F. Zwiers, "Comment on “Climate Science and the Uncertainty Monster” J. A. Curry and P. J. Webster", Bulletin of the American Meteorological Society, vol. 92, pp. 1683-1685, 2011. http://dx.doi.org/10.1175/BAMS-D-11-00191.1

Two-year old turkey

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The blogosphere is abuzz with the appearance of a second tranche of the emails stolen from CRU just before thanksgiving in 2009. Our original commentary is still available of course (CRU Hack, CRU Hack: Context, etc.), and very little appears to be new in this batch. Indeed, even the out-of-context quotes aren’t that exciting, and are even less so in-context.

A couple of differences in this go around are worth noting: the hacker was much more careful to cover their tracks in the zip file they produced – all the file dates are artificially set to Jan 1 2011 for instance, and they didn’t bother to hack into the RealClimate server this time either. Hopefully they have left some trails that the police can trace a little more successfully than they’ve been able to thus far from the previous release.

But the timing of this release is strange. Presumably it is related to the upcoming Durban talks, but it really doesn’t look like there is anything worth derailing there at all. Indeed, this might even increase interest! A second release would have been far more effective a few weeks after the first – before the inquiries and while people still had genuine questions. Now, it just seems a little forced, and perhaps a symptom of the hacker’s frustration that nothing much has come of it all and that the media and conversation has moved on.

If anyone has any questions about anything they see that seems interesting, let us know in the comments and we’ll see if we can provide some context. We anticipate normal service will be resumed shortly.

Scientific confusion

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“We have not succeeded in answering all our problems. The answers we have found only serve to raise a whole set of new questions. In some ways we feel we are as confused as ever, but we believe we are confused on a higher level and about more important things.”


I read this quote on a wall on Mark Cane’s office at LDEO (Columbia) many years ago and always wondered where it came from. He found it as an epigram in a book on ‘Stochastic Differential Equations‘ by Bernt Øksendal where it is sourced to a sign outside the mathematics reading room at Tromsø University. The actual source appears to be a 1951 report on an education workshop by Earl C. Kelley, a professor at Wayne University (sleuthing by QI).

MJO Conversations

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There is a (relatively) new blog from scientists involved in a big research program (DYNAMO) looking into the Madden-Julian Oscillation (MJO). Called Madden-Julian Conversations, it is run by Adam Sobel and Daehyun Kim (Columbia), Zhiming Kuang (Harvard) and Eric Maloney (Colorado State).



A schematic of the MJO from cmmap.org

The MJO can be seen in eastward propagating systems of rainfall and deep convection near the equator and influencing the Indian monsoon and El Niño dynamics. Each MJO cycle takes around 30-60 days, so these events can be seen in high frequency diagnostics of cloud cover, LW radiation, rainfall etc. The blog goes into a little more detail of what the MJO is (part i, and parts ii, iii, iv and v), (note that is sometimes referred to as the Intra-seasonal Oscillation or ISO), as well as descriptions of the DYNAMO program and what atmospheric scientists working in the field actually get up to.



(but note that apparently a helmet is not actually required for modelers to launch radiosondes).

This is exactly the kind of thing that should become more common – scientists actually showing the world directly what their research involves and the process that we follow to find stuff out. This will make a great backdrop to the rather dryer contributions to the technical literature that will come from this.