An article in the New Scientist says:
But Dr. Leif Svalgaard, one of the worlds leading solar physicists and WUWT’s resident solar expert has this to say:
Solar max is a slippery concept. One can be more precise and *define* solar max for a given hemisphere as the time when the polar fields reverse in the hemisphere. The reversals usually differ by one or two years, so solar max will similarly differ. The North is undergoing reversal right now, so has reached maximum. The South is lagging, but already the polar field is rapidly decreasing, so reversal may be only a year away. Such asymmetry is very common.
Here is a link to the evolution of the polar fields as measured at WSO:
http://www.leif.org/research/WSO-Polar-Fields-since-2003.png
And here’s data all the way back to 1966, note there has not been a crossing of the polar fields yet in 2012, a typical event at solar max:
http://www.leif.org/research/Solar-Polar-Fields-1966-now.png
Here is a link to a talk on this: http://www.leif.org/research/ click
on paper 1540.
Dr. Svalgaard adds:
Solar max happens at different times for each hemisphere. In the North we are *at* max right now. For the South there is another year to go, but ‘max’ for a small cycle like 24 is a drawn out affair and will last several years. To say that max falls on a given date, e.g. Jan 3rd, 2013, at UT 04:15 is meaningless.
Discover more from Watts Up With That?
Subscribe to get the latest posts sent to your email.

![WSO-Polar-Fields-since-2003[1]](http://wattsupwiththat.files.wordpress.com/2012/09/wso-polar-fields-since-20031.png?resize=640%2C147&quality=75)
![Solar-Polar-Fields-1966-now[1]](http://wattsupwiththat.files.wordpress.com/2012/09/solar-polar-fields-1966-now1.png?resize=640%2C263&quality=75)
JanP;
No, that is not quite correct. I said “climate driver”.
>>>>>>>>>>
OK, let’s use the term you prefer:
I observe that you began arguing that GHG’s are currently the dominant climate driver, and have come full circle to argue that the lack of warming over the past 15 years or so is a product of natural variability drowning out the warming signal. Is “dominant” the word you wish to stick to?
JanP;
First you have to show me that he claimed a few trees from Siberia were representative for the global (or Northern Hemisphere) climate. If he did I would like to see his argument for why this was the case, because I don’t see what argument could be made for it. Did he? Where?
>>>>>>>>>>>>>>>
Either you dismiss his study in the context of global warming as regional, or you don’t. As you indicate in your response that you don’t see what argument can be made for it, I assume you dismiss it as regional until shown otherwise?
JanP;
Yes, I do. I understand this as a statement about the understanding of the physics or chemistry behind it. It doesn’t mean that the uncertainty range of the forcings, from a purely diagnostic point of view, is minus Infinite to plus Infinite.
>>>>>>>>>>>>
Much of the debate regarding CO2’s effects relates to feedbacks. Given then we poorly understand the bulk of the factors relating to uncertainties in radiative forcing, including how they affect each other as well as what their range of forcing is, our understanding of the feedback effects of CO2 and other GHG’s in isolation may be high, but as part of a highly chaotic system with multiple feedback mechanisms, the over all effect of CO2 including all feedbacks cannot be estimated with a high degree of confidence. It isn’t about each driver alone, it is the manner in which the drivers are interrelated. Since we don’t even understand the bulk of the drivers in isolation well, we cannot possibly understand the system well.
JanP;
I’m not going to reply to that. I have argued about this in more than one comment, and the arguments had progressed already. Now you just jump back to the initial assertion. The thread has become recursive here. I’m not playing this game.
>>>>>>>>>>>>>>>>
Your answers were evasive and did not directly address the issue. Your answers were to the effect that there was a large range of uncertainty in aerosol forcing, and hence different models used values reflective of that uncertainty. This is precisely the point richardscourtney originaly raised. If the values used by the models are in general agreement on other drivers, then the wide range of values for aerosol forcing ought to cause them to diverge. Instead, they cause them to converge. If the models used a broad range of forcings for other drivers, then your argument would hold water. But they don’t, they use similar forcings. The only possible conclusion one can draw from this is that the range of uncertainty for aerosols is being used as a fudge factor to bring the model outputs into a given range. As richardscourtney repeatedly points out, there can only be one correct value. Run all the models with the same value and you will get huge disparities. Do it in a small an increment as you wish, across as broad a range of uncertainty as you wish, but each value will result in huge disparities between the models, showing rather conclusively that the underlying logic of the models themselves is wrong in the first place (or at best, all except one are wrong).
Geoff Sharp says:
October 2, 2012 at 7:41 am
You say un-physical but the isotope record at least is a single source of data that is not corrupted by the unlimited variables that exist in the geomagnetic record.
Regardless, a negative value for the field strength is unphysical.
And the isotope record is heavily influenced by a host of other variables than just the solar field. The climate and general circulation of the Earth’s atmosphere are two very important unknowns with a large influence.
It is painfully obvious the solar position right now is in a different league to a Maunder type event so we are not getting close to testing the water of a deep grand minimum.
It may pain you a lot, but there are good reasons for suggesting a coming Maunder Minimum. More important than a suggestion are the assessment by Schrijver et al. that TSI and the open flux during the MM were comparable to the 2009 minimum, and by Owens and Lockwood that the CME rate during the MM was comparable to that in 2009. A good working hypothesis is that solar activity did not disappear during MM and that the dynamo was working as usual, but that the solar magnetic field did not assemble into visible spots as the L&P data suggest may be happening again: http://www.leif.org/research/Disappearance-of-Visible-Spots.pdf . of course, only time will tell [and soon to boot]
Your mate Cliver in a paper this year points this out even suggesting a zero state could be possible during a Maunder event, with a much lower nT reading than the 3.9 values recorded recently.
Ed is basing that on the assumption that the polar fields went to zero during the MM. The vigorous modulation of GCRs during the MM argues strongly against a zero polar fields.
to think today’s values apply to a Maunder type event might leave one open to ridicule.
Valid scientific arguments never leaves one open to ridicule, a good example is Eddy’s paper on the MM. Scientists do not think in terms of ridicule and the like. Pseudo-scientists do.
vukcevic says:
October 2, 2012 at 7:28 am
There is something odd about HMF-B (IDV ?) measurements before and after start of the space age (ground /satellite measurements ?).
What is odd? That the CET correlation breaks down recently? Such breakdown is the usual fate of spurious correlations.
vukcevic says:
October 2, 2012 at 7:28 am
There is something odd about HMF-B (IDV ?) measurements before and after start of the space age (ground /satellite measurements ?).
What is odd? That the CET correlation breaks down recently?
Congratulations, you may just have proven AGW as your CET has gone up recently while HMF has gone down to its floor value also reached around 1900.
richardscourtney wrote in
http://wattsupwiththat.com/2012/09/28/dr-leif-svalgaard-on-the-new-scientist-solar-max-story/#comment-1098125
Null-hypothesis is all about statistics, but science, the progress from hypotheses to theory is not just a process of pure statistics, but this aside.
I’m only commenting some central points.
Says who? You? The Committee for Dictating The Null Hypothesis”?
If this was true, science, human knowledge could never progress, because it only would revolve around rejecting the only one Null Hypothesis over and over again forever. You never could get to the state where the proposition about the change has been successfully tested and is being acknowledged as scientifically (not mathematically!) proven, and becomes the new default for what is being inter-subjectively accepted as “truth”.
The Null hypothesis is not the case without change, necessarily. The Null hypothesis is the “general or default position”:
Here from wikipedia:
The practice of science involves formulating and testing hypotheses, assertions that are capable of being proven false using a test of observed data. The null hypothesis typically corresponds to a general or default position. For example, the null hypothesis might be that there is no relationship between two measured phenomena[1] or that a potential treatment has no effect.[2]
(http://en.wikipedia.org/wiki/Null_hypothesis)
Here from a statistical glossary:
The null hypothesis, H0, represents a theory that has been put forward, either because it is believed to be true or because it is to be used as a basis for argument, but has not been proved.
(http://www.stats.gla.ac.uk/steps/glossary/hypothesis_testing.html#h0)
And what many here don’t seem to understand, when they assert the absence of a statistical significance of the temperature increase falsified global warming:
It is important to understand that the null hypothesis can never be proven. A set of data can only reject a null hypothesis or fail to reject it. For example, if comparison of two groups (e.g.: treatment, no treatment) reveals no statistically significant difference between the two, it does not mean that there is no difference in reality. It only means that there is not enough evidence to reject the null hypothesis (in other words, the experiment fails to reject the null hypothesis).[5]
(http://en.wikipedia.org/wiki/Null_hypothesis)
davidmhoffer says:
October 2, 2012 at 4:44 am
People who live in glass houses should not throw stones. You’re not exactly a paragon of patience and restraint.
I hurl insults when I am insulted. Especially when someone unqualified in my field impugns my professional qualifications, as Leif has repeatedly in this thread. You’ve fallen for his bluster. That’s your problem. I’m not going to quit remunerative application of my skills and build a 747 in my back yard to prove to David M. Hoffer that man can, indeed, fly. Sorry, I’m just funny that way.
Bart says:
October 2, 2012 at 9:10 am
I hurl insults when I am insulted. Especially when someone unqualified in my field impugns my professional qualifications, as Leif has repeatedly in this thread.
Your qualifications are not applicable to the problem at hand. Your attitude It is like claiming the undoubted qualifications of Joe the Plumber are applicable.
The slugfest with Perlwitz is an object lesson in futility. As long as you guys fight him/her on a battleground of his or her own choosing, it’s going to be a bloody war of attrition. There will be no winners.
Leif Svalgaard says:
October 2, 2012 at 8:16 am
That the CET correlation breaks down recently? Congratulations, you may just have proven AGW as your CET has gone up recently while HMF has gone down to its floor value also reached around 1900.
Hi Doc
Correlation has not broken down, the CET-June and the HMF peaks and troughs still coincide. I know you could do better than that, as you well know the June temperatures (in the European north-west countries) respond to the AMO which has no trend (graph updated with the AMO – thin green line).
You often quote that HMF and 10Be correlation also breaks down at beginning of the space age. Could it be a difference in response to the ‘ionospheric currents cause’ at the satellite altitude and the ground level.
Do have another go
what is the difference in the output from satellite instruments and the ground level magnetometers, are the satellite instruments calibrated at the ground level ?.
Leif Svalgaard says:
October 2, 2012 at 9:19 am
Actually, your qualifications are not applicable. At least, not yet. Until you gain more insight into what is actually going on, and can bring your dynamical models in line with it, you will continue floundering around. I would have been more than happy to work with you, gratis. I could have been the Lorentz to your Einstein, instead of the Mozart to your Salieri. That’s a missed opportunity for you to consider the problem in an interdisciplinary fashion. Too bad.
Sorry, forgot June-HMF-AMO link
http://www.vukcevic.talktalk.net/HMF-JT.htm
Bart says:
October 2, 2012 at 9:34 am
The slugfest with Perlwitz is an object lesson in futility. As long as you guys fight him/her on a battleground of his or her own choosing, it’s going to be a bloody war of attrition. There will be no winners.
>>>>>>>>>>
Yes, obviously we should get into a slugfest with him over at RC, that would be better?
Other than the “lie” word being thrown around way too much right now (Jan, Richard, you could both dial it back) you may have noticed that there’s some actual science being discussed here and there in the back and forth? You’d rather have Hansen and Mann making unchallenged pronouncements to the media while we just act as an echo chamber over here for our side?
I cannot think of anything BETTER than having someone of JanP’s stature and prominance duking it out on this forum.
vukcevic says:
October 2, 2012 at 9:51 am
Correlation has not broken down,
It is impossible to impact a true believer. The point is that CET is now high and HMF is now low, while in 1900 they were both low.
You often quote that HMF and 10Be correlation also breaks down at beginning of the space age. Could it be a difference in response to the ‘ionospheric currents cause’ at the satellite altitude and the ground level.
I don’t think I’ve said that.
what is the difference in the output from satellite instruments and the ground level magnetometers, are the satellite instruments calibrated at the ground level ?.
Both the satellites and the ground level data are correct. No calibration issues.
Bart says:
October 2, 2012 at 9:52 am
can bring your dynamical models in line with it, you will continue floundering around.
Forget about me, it is the opinion among hundreds of solar researchers that the cycle is not predictable on a longer time scale [say, past a cycle], to wit the lousy performance of such predictions. But, of course, none are up to snuff and none have the qualifications needed. Their Mozart has not come to their rescue.
Leif Svalgaard says:
October 2, 2012 at 10:07 am
Well then, since we all know that science always moves forward by consensus, you must be right, and I must be delusional. Sorry to have wasted your time and mine.
Mr Perlwitz:
I am replying to your drivel addressed to me at October 2, 2012 at 7:48 am. It is really, really funny.
I especially enjoyed the laugh you gave me with this statement
I stick rigidly to the subject and address specific points. You waffle, obfuscate and repeatedly claim you intended other than you wrote while avoiding giving plain answers to plain questions. But you say I provide “noise” and “diversion” while calling my objections to your lies “ad personam drivel”.
ROTFL!
You ask
The IPCC could do it and did do it by printing the words to which you link; i.e.
http://www.ipcc.ch/publications_and_data/ar4/wg1/en/tssts-5-1.html
And you say
Of course not! That was about “Committed climate change (see Box TS.9) due to atmospheric composition in the year 2000”. There could not have been the same “Committed climate change” prior to 2000 because the CO2 concentration in the atmosphere increased prior to 2000! The difference between prior to 2000 and after 2000 is the change to atmospheric composition.
And you follow that by saying
Really!? You think my stating – and quoting – what the IPCC published is “one apparent lie by Mr. Courtney”? Clearly you don’t know what a lie is: perhaps this explains why you lie so much.
You then waffle on with meaningless and irrelevant twaddle concerning the uncertainty range of that “committed warming” and the predictions in the IPCC-Report. I might bother to answer that nonsense if I thought you were capable of understanding the issue. As it is, I will let your waffle stand for others to make their own assessment.
I quoted the IPCC verbatim. You complained that this was only a “single realization” and I replied
Importantly, very importantly, I also said in bolded text
You have yet again not answered – or mentioned – that important point but, instead, you draw attention to the variety of model outputs which provide that ‘average wrong’.
(At this point in reading your post my sides were splitting with my laughter).
And you follow that comedy by saying
Mr Perlwitz, that paragraph proclaims to the world that not only are your comments comical, you are a joke.
I stated the IPCC statement verbatim. You – not me – objected to its being a ‘single realization’ and I told you to take it up with them. You now cite other information from the IPCC which illustrates my comments about the erroneous formulation of the models which you adamantly refuse to address. And – on the basis of that – you assert that my accurate quotation from the IPCC shows I am “lying” and “incompetent in statistics”. Your paragraph is Pythonesque.
And you continue in Pythonesque vein when you write
Say what!?
In the post you are replying I was writing in response to your direct statements saying of why the IPCC prediction of “committed warming” has not happened. You wrote
I replied to that saying
You now say
The warming has “decreased” to nothing as a result – according to you – of “solar forcing” changes. There is NO difference between ‘decreased to nothing’ and ‘overwhelmed’. I “made up” nothing, and your assertion that I did so “seems to be a proven liar” is either another of your lies or is psychological projection.
Richard
Bart says:
October 2, 2012 at 10:24 am
Well then, since we all know that science always moves forward by consensus, you must be right, and I must be delusional. Sorry to have wasted your time and mine.
Your understanding of science is incorrect. Science moves forward by reasoned disagreements that eventually get resolved and become the bedrock upon which further progress depends and upon which Engineering must rest as well.
You may be right about the delusional bit, though, and about wasting time.
Jan P Perlw1tz:
At October 2, 2012 at 8:44 am you attempt to refute my accurate and clear explanation of the Null Hypothesis which I provided at October 2, 2012 at 6:44 am. You provide several links and quotations which all support the explanation I provided.
Please read what I wrote and learn from it.
Richard
To return to the science and the topic for this post, the September sunspot number data from SIDC are now out. The smoothed sunspot number for September was 66.8 compared with 66.9 for August.
http://www.leif.org/research/SC14-24-Smoothed-Adj-2.png compares SC24 with SC14 with the minima epochs lines up. The thin pink curve is the official SSN, while the heavy red symbols are the SSN adjusted upwards by 20% to match the calibration of the SSN after 1945. For the first time in SC24 the smoothed SSN has not increased, another sign that we are entering the maximum phase. But just as in SC14, the maximum might well be drawn out over several years.
Leif Svalgaard says:
October 2, 2012 at 10:37 am
Gracious and charming to the last. Have some oatmeal.
Hay doc,
I have no doubt your reconstruction to 1830 is good, the CET June temperature confirms it, I still think that there is difference between the ground level and the satellite latitude observation since 1970s (possibly to drift in the proximity of ionosphere to the satellite), while min max timings still agree.
http://www.vukcevic.talktalk.net/HMF-JT.htm
I just wanted to find out, but it appears I have chosen wrong moment.
I wander is the old McCracken still waiting for the consensus?
Finally, I note that Svalgaard and Cliver [2005] have previously suggested that the
presently commencing sunspot cycle may be comparable to those in the interval 1890-
1910. This would be a most welcome contribution by our Sun to this discussion; in
particular it would allow the geomagnetic consensus to be tested against satellite
measurements.
http://www.leif.org/research/McCracken%20JGR%202.pdf
p.s. I do all this for fun, I am dis-believer, use the available data to support my life-long contrarian’s attitude.
Bart says:
October 2, 2012 at 11:09 am
Have some oatmeal.
Advice from the professional ‘Joe the Plumber’ look-a-like
vukcevic says:
October 2, 2012 at 11:23 am
I have no doubt your reconstruction to 1830 is good, the CET June temperature confirms it,
That is called Confirmation Bias and is not science.
I still think that there is difference between the ground level and the satellite latitude observation since 1970s (possibly to drift in the proximity of ionosphere to the satellite), while min max timings still agree.
As I said, nothing can rock the beliefs of a true believer.
I just wanted to find out, but it appears I have chosen wrong moment.
Nothing wrong with the moment. The satellite data comes from outside the magnetosphere, 100,000-1,000,000 km away from the Earth.
I wonder is the old McCracken still waiting for the consensus?
Ken is a dear old friend of mine, and still has problems with the cosmic ray record prior to the advent of Neutron Monitors in the 1950s. The resolution of this is scheduled for the next ISSI meeting in April, 2013.
See Figure 2 of http://www.leif.org/research/Svalgaard_ISSI_Proposal_Base.pdf
Finally, I note that Svalgaard and Cliver [2005] have previously suggested that the
presently commencing sunspot cycle may be comparable to those in the interval 1890-
1910. This would be a most welcome contribution by our Sun to this discussion; in
particular it would allow the geomagnetic consensus to be tested against satellite
measurements.
So far [for cycles 23 and 24] the geomagnetic data [blue] are fully confirmed by satellite measurements [red]: http://www.leif.org/research/HMF-IDV-Up-to-Date.png
We see no reason to suspect that the relationship has changed [the Earth does not know we are watching].
Jan P Perlwitz wrote in: http://wattsupwiththat.com/2012/09/28/dr-leif-svalgaard-on-the-new-scientist-solar-max-story/#comment-1094122 :
My apologies on the delay in responding – travel and field work occupied my time in between. And I did not intend for the response to be so long. However, I see you’ve been busy.
Certainly, Jan, you seem to have “longevity on the stoop” – model speak for persistence and endurance (that’s fashion model and not climate model). I’ll let you have the last word, as I don’t intend to reply to your response, if any, but certainly will read one.
“Please elaborate what you mean with ‘the IPCC very much does provide guidance on modeling, review the model outputs, and then interprets/reports on the result in the ARs.’”
This is what the IPCC means (my opinion is irrelevant) regarding its involvement with climate models:
“This paper summarizes the discussions and conclusions of the Intergovernmental Panel on Climate Change (IPCC) Expert Meeting on Assessing and Combining Multi Model Climate Projections… It seeks to briefly summarize methods used in assessing the quality and reliability of climate model simulations and in combining results from multiple models. It is intended as a guide for future IPCC Lead Authors as well as scientists using results from model intercomparison projects. This paper provides recommendations for good practice in using multi-model ensembles for detection and attribution, model evaluation and global climate projections as well as regional projections relevant for impact and adaptation studies. It illustrates the potential for, and limitations of, combining multiple models for selected applications. Criteria for decision making concerning model quality and performance metrics, model weighting and averaging are recommended. This paper does not, however, provide specific recommendations regarding which performance metrics to use, since this will need to be decided for each application separately,” – http://tinyurl.com/9koknlg (link to IPCC summary paper on climate models).
“There is no dictatorship of ‘the IPCC’. Who do you mean, anyway, when you say ‘the IPCC’?”
The term “IPCC” means just that – the Panel as detailed in its Governing Principals – http://tinyurl.com/2o4948 (link to IPCC Principals Governing IPCC Work). However, the Coordinating Lead Authors and Lead Authors represent the the final word on the nuancing of their respective sections of the AR. These individuals represent the gatekeepers of the ARs. While the actual assessments may involve hundreds and even thousands of researchers, the final synthesis is limited to a handful of authors. Then again, I never claimed a dictatorship at the IPCC; I believe that is your term. You do, indeed, have a fondness for the straw man fallacy.
“TM: Yes, the IPCC does not actually run the models, but I never claimed they did.
“JPP: Well, you accused ‘the IPCC’ to have ‘perhaps’ committed ‘fraud’ with respect to what should be taken into account when modeling climate.”
To the extent that the IPCC hosts meetings which seek to, “Summarize methods used in assessing the quality and reliability of climate model simulations and in combining results from multiple models,” an argument exists that if a likely variable (e.g., changing solar radiation) is not recommended for modeling consideration than fraud (breach of confidence for gaining an unfair advantage) may be alleged. The unfair advantage is control of the model input to ensure it supports the desired nuancing.
“’In spite’ of what research published by whom, where, and when, specifically?”
As stated in my response, read the section in its entirety for the referenced research or studies (i.e., Solanki et al. 2004):
“More recent studies utilise physics-based models to estimate solar activity from the production rate of cosmogenic isotopes taking into account nonlinearities between isotope production and the Sun’s open magnetic flux and variations in the geomagnetic field (Solanki et al., 2004; Muscheler et al., 2005). Following this approach, Solanki et al. (2004) suggested that the current level of solar activity has been without precedent over the last 8 kyr. “
“Not just that, more important with the reasoning that ‘most of the recent studies (with the exception of Solanski and Krivova, 2003)’ come to this conclusion…”
Recall the nuancing? Now revise the above to read, “Most of the recent studies [reviewed by the IPCC for referencing in the AR],…” Most does not mean all, and although the IPCC referenced the previous Solanski paper as an exception, this was not the only exception yet the IPCC drafted the statement as if it were. Kirvova and Solanski (2008) even published a paper summarizing the recent advances in modeling of solar irradiance variations on time scales longer than a day, which did include several “exception” papers not included in the FAR, although they had been published during the AR’s review time period – http://tinyurl.com/8d2zwbh (link to Kirvova and Solanski, 2008).
“So you assert newer studies, which contradict the downward revision in the solar variability have been ignored in the IPCC report 2007. Which ones?”
If you’re interested, here are several and please note that “recent” doesn’t imply better with respect to a study – Björck et al. (2001) – http://tinyurl.com/9q3p35u ; Haigh (2002) – http://tinyurl.com/8msrq6g ; and – Swingedouw et al. (2010), newer but interesting – http://tinyurl.com/8vrq92u (all links to respective papers).
“You see wrong. This is not what I said. But the phrasing of my statement was not precise enough either. I give you that.”
No, you read wrong. I indicated that this was my deliberate assertion of a straw man argument – not unlike the several you had advanced against me in your response. It was a deliberately-loaded question.
“Are you asserting, those things have been presumed, and the assumption have been made in the referenced studies, because ‘the IPCC’ told the researchers to do that? If not, how is this quote supposed to be proof that ‘the IPCC’ presumes something? I only see here that presumptions and assumptions in scientific studies are being described in the IPCC report.”
To the extent that the IPCC relies on presumptive models in the AR, the IPCC’s summary (at least with respective to where the presumptive models are referenced) is also presumptive. Recall that my example provided a contradiction to your bold assertion that, “…{T]he IPCC report doesn’t ‘presume’ anything.” If it includes presumptive models in its review, then the IPCC can but only presumes “things” as part of its summary.
“Yes, this is true. And it is done, based on expert judgement, the results of some studies are assessed as more sound and relevant than others in the report. And some scientists won’t agree with those judgements of soundness and relevance.”
And again, this is where the IPCC influences the nuancing of the AR. The Coordinating Lead Authors and Lead Authors are but a handful of people compared to the researchers providing input to the section. A number of issues (internally- and externally-identified) were identified with respect to the process of drafting the ARs (e.g., Ross McKitrick’s report entitled “What is Wrong with the IPCC? Proposals for a Radical Reform “ – http://tinyurl.com/cpj8f5c – link to the same). You may agree or disagree with these issues; I suspect, though, that you disagree, which is a matter of opinion and not scientific discussion. Researchers are human and prone to confirmation bias, as demonstrated repeatedly in the Climategate e-mails – http://tinyurl.com/9mtzl2x (link to Tom Nelson blog with sample listing). Even if you want to assert that the e-mails are quoted out of context, it’s discouraging (and unprofessional) to read climate experts detail schoolyard-like bullying against other climate experts.
“Yes, I do. But not in the reference list of Chapter 8. Why should it have been referenced there?… This paper is referenced in Chapter 6, http://www.ipcc.ch/publications_and_data/ar4/wg1/en/ch6s6-references.html ”
Where:
(1) the post’s focus is on the absence of a changing solar radiation variable in the climate modeling (and Chapter 8 discusses the same) and
Given:
(1) that Soon and Baliunas (2003) asserted that, “The widespread geographical evidence [in their paper]supports the existence of both the Little Ice Age and the Medieval Warm Period, and should serve as useful validation targets for any reconstruction of global climate history of the last 1000 yr,” – http://tinyurl.com/8l6enhc (link to Soon and Baliunas paper) and
(2) climate modeling (when used for hindcasting) often fails to achieve the validation targets noted by Soon and Baliunas – http://tinyurl.com/8as7enb (link to Lohmann et al. 2012)
Proposed climate model validation targets should be referenced in the chapter on climate modeling. Perhaps, I am asking too much of the IPCC, given where a reference to the paper had already been made in another chapter?
“Box 6.4 provides more information on the ‘Medieval Warm Period’.”
Thank you for providing the link; I had forgotten about this discussion in the FAR.
“Any other study with, what you think are significant results from research, which was ignored in the IPCC report?”
There are several but this is a topic that could host its on discussion. The focus here is on the climate models and not the IPCC ARs.
“TM: I don’t believe I asserted this…
“JPP: ‘‘What’s troubling and often highlighted by CAGW skeptics is that this… presumption (this may be the wrong term – perhaps “fraud”) by the IPCC has been made with the full knowledge that changes in solar radiation certainly do matter and should be accounted for within the models. This has been asserted for over 15 years.’ That looks very much like to me that you write about assertions made by ‘CAGW skeptics’. BTW: What is a ‘CAGW skeptic’ skeptical of? I know ‘C’ is supposed to stand for ‘catastrophic’. I just don’t really know what statements are being rejected by ‘CAGW skeptics’. What is the difference between an ‘AGW skeptic’ and a ‘CAGW skeptic’?”
I indicated that CAGW skeptics are concerned (to the point of emphasizing) that climate models fail to reference a changing solar radiation variable and include instead a constant solar radiation variable. A more realistic solar radiation variable is the desired variable. The basis for that concern can be found in the post itself, as summarized by Dr. Leif Svalgaard (who references published papers on the concern via the links provided by him, as well as his defense throughout this thread).
For me, I am skeptical about whether anthropogenic global warming (AGW) has catastrophic results for the global climate. Catastrophic can be defined as extremely harmful for humanity and the planet. I do not doubt that the global climate is warming with respect to a global mean temperature anomaly (however you want to define it), but I think it unlikely that such change (1) will alter the planet significantly beyond expected natural variability and (2) alterations, if measurable, are best addressed through result adaptation rather than source prevention. There are a number of qualitative and quantitative reasons for my skepticism but (indeed) this is a topic that could host its on discussion.
And while I do not profess to be an AGW skeptic, I presume the difference between that and a CAGW skeptic is that the former is skeptical about whether anthropogenic carbon dioxide is a driver for global climate warming with respect to a global mean temperature anomaly. However, such skepticism typically involves how the anomaly is defined or calculated and is the result relevant to climate change.
“It’s not like[ly] that they all exactly matched the observed climate variability, or exactly matched each … But the spread between the models becomes wider for future projections. I don’t know why that is. One possible explanation for it I could think of is that the representations of different physical processes in the model are developed and tested for present day conditions, but internal feedbacks between the model components make the spread wider with increasing distance from present day.”
There is a wide-range associated with the aerosols variable in the climate models – far more so than is observed either by direct measurement or extrapolation. A likely conclusion is that this variable is being used (i.e., adjusted) by the climate modelers to ensure that model outputs align with observational data, which (if true) casts serious doubts on the forecasting abilities of the climate models. And if the forecasting abilities of the climate models are questionable (i.e., the feedback variables are inaccurate), where does that leave the notion of a 2-4.5 deg C increase with 3 deg C being the best guess for CO2 doubling – http://tinyurl.com/9xvdy69 (link to the FAR discussion in Chapter 10 on temperature mean)?
In fact, Assuming the FAR’s compiling of the climate models is correct (and hindcasting works), the global mean temperature for the past 110 years should be + 1.6-3.2 deg C. And yet, the observed temperature for the same time period is (at worst) 1 deg C. What’s up with that (pun intended)? Oh, right, “[D]ifferent physical processes in the model are developed and tested for present day conditions, but internal feedbacks between the model components make the spread wider with increasing distance from present day.” Which means…? The models aren’t overly accurate.
“There isn’t really any point in the paper. There is no original research presented in there. I also couldn’t find the evidence in the paper for the ‘absence of the predicted warming’, which you had asserted. What is supposed to be the evidence in there?”
The Lindzen paper was referenced not as an initial research paper but rather as a compilation (similar to the ARs) discussing the apparent uncertainties of climate models, which predict warming but Nature fails to produce it (e.g., Trenberth’s infamous travesty on missing heat – http://foia2011.org/index.php?id=6351 link to Trenberth e-mail Climategate thread). The paper highlighted the work of Lee et al. (2007), which reviewed the inability of the NSIPP, GEOS-5, GFDL AM2, and SNU atmospheric general circulation models to align predicted, tropospheric warming with observational data – http://tinyurl.com/94o2coq (link to Lee et al., 2007).
“I do not believe you that you are ‘genuinely curious’. You are loading the question with ridicule toward homogenization of data.”
No, I was (and still am) genuinely curious as to your position on the multiple homogenizations of the official temperature data sets. Common sense dictates that the more you modify them, the less the data resemble the actual measurements (error bars and all). Rather than changing the data to allow them to apply to larger presumed temperature grids, accommodations should be made for the recording inaccuracies. While not quite “fabricated”, the data here are distorted extensively by the homogenization process itself, unless you can explain why they are not – thus, my curiosity.
“However, I wonder how you would find out then that your assertion about the alleged ‘absence of predicted warming’ was true, if you don’t have anything to diagnose the alleged absence.”
One can compare the published outputs of past climate models with archived and current temperature data sets. In fact, it’s been done with not so impressive results attributed to the climate models – http://tinyurl.com/9xwch4r (link to Anagnostopoulos et al. 2010).
Your apologic stance is admirable, Jan, but I fear you are like the Little Dutch Boy trying to place as many thumbs and fingers in the dyke before it fails massively. Personally, I regard the climate models as the largest exposure for those promoting global warming alarmism. But rather than respond constructively to legitimate criticism of the models, a number of the associated researchers have mounted a subjective defense (and in some cases a quasi-religious defense along the lines of persecution like Drs. Hansen and Mann ) instead of an empirical testing. That’s not science – period.
Dr.S.
Satellite is outside magnetosphere – at the day time, at the night time magnetosphere goes beyond the moon. Ground level magnetometer is within magnetosphere day and night.
Have you got a link to any data files (since 1970-80s) to the satellite HMF data and a direct magnetometer output .
I didn’t say I believe, I said I think
Leif Svalgaard says:
October 2, 2012 at 11:48 am
“Advice from the professional ‘Joe the Plumber’ look-a-like”
So, you have inside info that Joe is a bad guy? Or just, you know, far, far beneath you, and therefore fair game for your withering contempt, whether justified or no? Do you treat all working men and women with such disdain? If so, I hope the pipes never burst in your palace.
From Bart on October 1, 2012 at 6:31 pm:
I said “variations in the wind”, you said “wind gusts”. Same thing, except “gusts” sounds like pulses when it’s really occasional surges with some brief lulls.
Just checked, the stalks are about 38″ long, call it 3 ft. Speed of sound in ordinary wood is about 11,000 ft/sec. Using that, a full cycle in the shaft would be about 3,700 Hz, a period of 0.00027 seconds. It was a light wind, the seedpods were swaying with periods of about one to one-half second.
Thus it was not a natural frequency of the stalk. Thus you have committed a science newbie mistake, and not checked the reasonableness of the numbers involved.
So many big words, you sound like a GISS employee, trying to demonstrate authority by using big words, but not demonstrating you know what the big words mean, which would be beneath someone who is an authority such as you are expecting to be recognized as since you are a user of the big words.
You are expecting the solar cycles to be based on equations, as would be needed for predictability. But instead of variables that can be replaced with numbers and a certain result cranked out, one or more variables are actually the results of other unknown equations (aka functions), with the variables in those equations possibly also the results of other equations, repeat, repeat.
So you find numbers that will work “close enough” for those variables that are functions, treating those variables as constants, yielding “close enough” equations with “close enough” results that seem to match the observations. You may even end up with a range of “close enough” equations, where different fill-in “constants” give a better match depending on the range the value of another variable is in.
When done, you have equations that are “good enough” without knowing why they are “good enough”, you still don’t know the mechanisms. You have also added another layer of ignorance, as the “variables that are functions” are still unknown.
For some things that’s not a bad approach and reveals a good deal about the underlying structure. Like when Willis Eschenbach showed the one climate model was replicable by a one-line equation, same as GISS Model E. But that revealed the un-natural nature of the models, and the models use equations.
For the Sun, a natural system, FIRST you’re assuming it is describable by equations, despite the known chaotic behavior.
THEN, going by Vuk’s work that you endorse, the assumption is made that the equations are sinusoidal, as would be expected with coupled oscillators as presented. But the pitfalls of that were revealed in Willis’ piece Riding a Pseudocycle.
I mean, you’ve linked to Vuk’s SSN work, presented it with a “This says it all!” certainty… And from the first graph at the top I see the “SSN signal” crammed into ill-fitting sinusoidal curves, both on the “periodicity” and “amplitude” curves. Clearly there is much not being accounted for, the “matches” are lousy.
And, I can see he’s upside down. By taking the absolute value for the “periodicity” function, like running AC through a full wave rectifier, he ends up with rounded peaks and sharp-pointed troughs.
But as easily seen on a closer view, it is the troughs that should be rounded.
It’s like the SSN was a tone being fed into an amplifier, and the “periodicity” was generated by playing with the gain (volume control). When the Sun is calmer (low gain), the tone goes through cleanly, the trough is rounded. But as the gain goes high, solar activity is high, the tone breaks up, becomes distorted… And that’s what the peaks look like, broken up and distorted, the true shape lost. Low amplification, signal preserved. High amplification, signal distorted, popping and squealing.
And as with a maxed-out amplifier, the “intended” maximum value of the peak is lost. The width of the “distortion” hints at it. If the amplifier is working good the distortion comes later, the peak is high and narrow. But if the amplifier is perturbed and the distortion comes early, the “peak” is wide and low. Use that to “reconstruct” what should have been the peak of Cycle 20 (1970) and it better fills that “periodicity” half-cycle, and the same happens for the one around 1860, 1830, 1815… But completely screws up the curves around 1905, even more than they already are.
Indeed, the lows peaks of “periodicity” at the lows of the “amplitude” curve are clearly wrong, not in sync and not matching the heights of the data, and would be far worse with the distorted peaks reconstructed. With this curve fitting exercise at its worse at these lows, and the solar cycles heading into a low, how much predicative power could they possibly have?
Further, it is obvious a sine curve would be a bad fit regardless. The signal clearly has sawtooth components. Even with the best formed peaks, the signal clearly shows a sharp rise followed by a less-steep drop, thus inverse sawtooth. This is even more evident upon examining the troughs, a sawtooth form is clearly visible.
Thus I can tell Vuk doesn’t have it right.
So to recap, they are the wrong type of equations, that don’t fit the data, that don’t account for the real shape of the data, do not take into account the likely distortion of the data, and clearly lack predicative power at the low spots such as we now heading into. Just as with the climate modelers, their “predicative ability” needs be considered on the whole, and is limited to hindcasting which comes from being tuned to past data… And their ability to “forecast” the future appears gravely limited, as they can’t even properly replicate details of the past that they were tuned to fit on the whole.
This is the type of work you present as a serious challenge to Leif? Try again after you can demonstrate some competency in proper curve fitting, that provides believable equations that actually fit the data, and shows you understand the nature of the data beyond mere numbers to be crunched. And you think you can do that without a plausible model of the underlying physical mechanisms? Then do so, and surprise me.