Don’t kid me, stevie. I know you are not stupid. Anyway, it’s way too cold.
Comment on Multidecadal climate to within a millikelvin by Don Monfort
Comment on Multidecadal climate to within a millikelvin by Vaughan Pratt
@MM: Doesn’t “business as usual” refer to the future of CO2?
That’s an excellent point, Matthew. If I understand you correctly, instead of “assuming business as usual” I should have said “assuming stationarity.”
I’d been meaning to drop the portion of Figure 7 after 2012 from the paper anyway since
(a) it plays no role in the description of HadCRUT3, which only goes up to 2012;
(b) stationarity is a strong assumption especially given that rapidly increasing warming, whether of natural or anthropogenic origin, appears to lead to increasingly chaotic climate; and
(c) even an R2 fantastically close to 1 is no guarantee at all of future behavior, as evidenced by my favorite example of this, namely a curve that’s an equally good fit to the peak of a Gaussian and the peak of a sine wave. Modeling it as the former predicts convergence to zero. Modeling it as the latter predicts oscillation between plus and minus 1. These barely distinguishable curves have dramatically different futures!
As a case in point for (c), the least-squares fit of SAW+AGW to HadCRUT3 implicitly entails a fit to the Keeling curve with an R2 of 99.56% (which incidentally is better than Goodman’s “triple-exponential” fit which only achieves R2 = 98.98%, which I’ll comment on later this evening in a reply to Greg’s long-neglected Jan. 2 comment). However an even better R2 of 99.84% is achievable by taking preindustrial CO2 to be 270 instead of the 287.4 in my poster. Extrapolating this to 2010 gives CO2 = 963 ppmv instead of the 1227 ppmv in my poster. The corresponding temperature extrapolation is then 0.3 C lower, quite a decrease.
While this is not quite as unstable as the Gaussian-vs-sinusoid example, it’s a practical working example of what can go wrong in extrapolating what on the face of it seems to be a fantastically accurate fit.
Not quite as bad as the long-since-deceased Amazon butterfly responsible years later for the havoc wreaked by Hurricane Sandy, but the same general idea.
Concerning these R2 figures, I’m about to reply to Greg about CO2 fitting, which you can find by searching for xyzzy in a comment by me on this thread other than this one.
Comment on Draft U.S. Climate Assessment Report by Peter Lang
Yep, and the state is the rustbucket state of Australia. The Greens have ruined their economy, and are now trying to do it to the rest of Australia. the leader of the Greens said the bush fires were caused by the coal miners.
Comment on Draft U.S. Climate Assessment Report by Peter Lang
Woops, sorry JC, my comment is OT. My apologies.
Comment on Multidecadal climate to within a millikelvin by Vaughan Pratt
Comment on Multidecadal climate to within a millikelvin by Vaughan Pratt
@PL: Expert (definition): a drip under pressure.
Is Peter Lang disclaiming any expertise in his area? This would be useful to know.
Comment on Trusting (?) the experts by Brandon Shollenberger
Comment on Draft U.S. Climate Assessment Report by gbaikie
“gbaikie seems to disagree with my assessment of the Appendices as a useful resource for the lay reader. In reality however, the Appendices are indeed representing the status of climate science and while I agree with his critique of their depiction of the GHG effect, I still find that the Appendices contain much useful information for the lay reader. ”
I agree that if we suppose that adults were involved writing this stuff and as a serious attempt of “representing the status of climate science” that this should be eye opener for many lay readers.
I guess both you and Judith Curry see this similarly, in terms of value to the public good.
So for many people as possible to exposed the current status of climate science is indeed useful.
Though perhaps many readers might still imagine that despite being in a somewhat official looking format, that there *must* be a more serious version out there.
Comment on Multidecadal climate to within a millikelvin by Vaughan Pratt
Comment on Open thread weekend by Edim
The AGW convinced very often (when it suits them) forget that the AGW started roughly in the mid 20th century. Anything else is simply physically implausible. I think this is not controversial at all, except when the convinced get into this state of cognitive dissonance.
So the AMO (and other ‘modes of variability’ and climatic patterns) – it’s just a SST(A) of the North Atlantic and de-trending it to remove the AGW signal (which didn’t start before 1960s) is fooling oneself.
http://climatedataguide.ucar.edu/sites/default/files/key_figures/index_amo.png
Why not de-trend the global temperature indices and call it GMO (global multi-decadal oscillation)?
http://www.woodfortrees.org/plot/esrl-amo/plot/hadsst2gl
Comment on Trusting (?) the experts by Michael
That conversation is still where it was;
http://judithcurry.com/2013/01/10/trusting-the-experts/#comment-285258
No need for re-hash it here.
Come back and I’ll explain consilience to you.
Comment on Laframboise on the IPCC by play online for money
This piece of writing will assist the internet viewers for building up new weblog or even
a weblog from start to end.
Comment on Multidecadal climate to within a millikelvin by Vaughan Pratt
@GG (Jan 2) I’m saying actually fitting an exponential to the MLO data without placing constraints on the constant base level provides a much better fit to that data than imposing a speculative base level and only using two points from the whole MLO data set. In that respect my fitted exponential better characterises the MLO data than your AGW model. That much is clear for all to see in the first graph I presented. http://i48.tinypic.com/snouvl.png
(Sorry to be so slow in replying. The necessary programming kept getting interrupted by departmental obligations, car insurance forms, xyzzy, etc.)
Besides Rossander, Greg, you’re the only other one taking the trouble to offer detailed concrete alternatives, which I really appreciate.
Presumably you’re comparing the yellow plot in your chart http://i48.tinypic.com/snouvl.png labeled “exponential fit [1975:2005] to summed emission data” with the magenta plot labeled “Pratt’s Law” (more accurately, Hofmann’s Law with Pratt’s parameters—and I would similarly call yours Manacker’s Law with Goodman’s parameters).
I wonder where the yellow went. It shows up weakly on my monitor, and disappears entirely in the interval 1960:2010.
I also wonder what the formula is for your yellow plot. For my magenta plot it is 287.4 + 1.02518^(y – 1823.6). I couldn’t find the formula you used for your yellow plot so I made one up that seems to fit well, namely 1.00452^(y – 588.8), corresponding to a CAGR of 0.452%.
My poster uses the Keeling CO2 values for 1975 and 2005. However it could just as well have used the values for 1960 and 2010.
After much futzing around I eventually came up with these four charts. The top row makes all the plots pass through the Keeling values of CO2 for 1975 and 2005, as done in my poster. The bottom row instead uses the endpoints, namely 1960 and 2010. Visually there’s a big difference, but from a statistical standpoint as measured by R2 the differences are relatively small.
The left column in these four charts shows the fit of three models to the Keeling curve, while the right column exhibits the corresponding derivatives or slopes showing the year-to-year increases in CO2 measured in parts per million by volume or ppmv.
The three models are:
red: as in my poster, based on 287.4 as preindustrial CO2
green: 270 for preindustrial, which fits the Keeling curve better
blue: 0 for preindustrial, i.e. purely exponential, as proposed by Max Manacker a year ago and adopted by Greg last month.
When 1975 and 2005 are used as the points to fit these three models to, as in the top row, the differences are not at all clear. Using 1960 and 2010 (the bottom row) gives a clearer picture in the left column.
The R2′s are as follows, starting with the best using the two points 1975 and 2005.
Green (Hofmann 270): R2 = 99.84%
Red (Hofmann 287.4 as per my poster): R2 = 99.56%
Blue (Manacker/Goodman): R2 = 98.98%
With the two points 1960 and 2010, R2 improves slightly for blue while worsening slightly for red and green.
Where the difference really becomes obvious is in the slope of the data and that of the models, shown in the right column. Taking the derivative of CO2 instead of its log as done by Goodman gives a very different picture that I would argue makes for a clearer separation than with logs.
In the right or derivative or slope column, regardless of which two points the model is forced to pass through, whether 1975-2005 or 1960-2010, the green curve is the best fit. The red curve is a bit steeper. However the blue curve is way too shallow to be plausible.
Greg said my red curve (from the poster) was “totally unsuitable” and proposed his blue curve instead. This analysis arrives at a different conclusion.
I may well have “botched” this analysis as Greg likes to say. If so I would be very interested in seeing his “unbotched” version.
The MATLAB/octave functions producing these four graphs can be found as FitKeel.m and FitDerKeel.m in http://clim.stanford.edu/
Comment on Open thread weekend by vukcevic
Gates
I think you may have won this one.
However, may not be a complete story. I take a regular look at the jet stream. In mid December indeed a hole appeared over Himalayas, not known for warm air (hm, .. rising from Indian Ocean), but at the same time JS was giving wide berth to Kamchatka.
http://virga.sfsu.edu/pub/jetstream/jetstream_norhem/1212/12121500_jetstream_norhem.gif
Reviewing the JS again, day by day and looking at your animation, I wonder if there is possibility that the volcanic eruptions creates a puncture in the tropopause, triggering whole process. Volcanic eruptions (going back to 1970s) in Kamchatka and the SSW events may be purely coincidental, or on the other hand eruptions may be an essential trigger for whole sequence. If so it could explain lack of SSW events in the Antarctica.
In the final analysis it is the behaviour of the jet stream which is of fundamental importance to the NW Quarter-sphere, and that is most likely ‘controlled’ by the Icelandic Low pressure system.
Comment on Multidecadal climate to within a millikelvin by Vaughan Pratt
Comment on Trusting (?) the experts by tonybclimatereason
Bob
10 years is less than a full stop whereas the MWP is a period. There is no comparison.
tonyb
Comment on Open thread weekend by vukcevic
Gates
Take a good look at 22-23 December, the SSW process appears to be initiated above the Kamchatka volcanic area.
http://www.cpc.ncep.noaa.gov/products/intraseasonal/temp50anim.shtml
Comment on Trusting (?) the experts by Michael
Brandon,
As i said, there are many others.
Let’s refresh Brandons memory again.
What did Brandon ask for? – “provide any reference”.
Now he has it (Jim gave another).
And Brandon runs – “that conversation is over…..I don’t intend to engage you on them further.”
Brave Sir Brandon ran away, bravely ran away away……
Comment on Trusting (?) the experts by Michael
Comment on Multidecadal climate to within a millikelvin by kim
Relax. If we’ve warmed the earth up, it’s been a good thing.
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