Guest essay by Bob Fernley-Jones
Our taxpayer funded broadcaster here in Oz, the ABC, has recently aired a scary story in its “science” TV show Catalyst, entitled Climate Extremes. (For the brave, the video and web page plus comments is here). For extra emphasis on TV there were repeated shots of several heat stressed old ladies on hospital stretchers, stacks of coffins (caskets), and much thunder and lightning etcetera.
But hey, there was this more technical screenshot sequence that rather caught my eye at about 3 ½ minutes in:
The narration elucidated how these bell curves clarified why the weather had become more extreme in the past decade, and, being a tad curious I searched around for the source, but without success. My closest find is contained in a report by our Oz government funded Climate Commission entitled The Angry Summer. (2012/3 DJF) This august body is headed by Prof Tim Flannery and amongst its expert advisors is Prof David Karoly, about whom I guess many overseas readers have heard?
But, engineers like me tend to be suspicious, and one thing I puzzled on was that the change in global average T of 0.80 C took place over a period of ~160 years according to HadCRU, and that the Catalyst show implied that the alleged effects were concentrated into the last decade.
I also worried that Carl Gauss would probably writhe in his 18th century grave to see his statistical normal distribution curve applied to an extremely complex system by our modern wizards of CAGW. In reality, the real distribution must be very lopsided around the global average of 150 C, (288K). And, the absence of units and scale also seems to be a touch odd and I pondered if it might err into an exaggeration. Putting aside the great media reverence for our Climate Commission, it disturbed me enough to compile this stuff below:
I found that not all weather extreme bell curves are equal. For instance, David Karoly is senior co-author in a recent paper entitled; The human role in our ‘angry’ hot summer, which uses a different concept. It employs some modelling projections and is based on a regional sample of Australia only and summer only, (and maybe with distribution closer to normal?). Perhaps it could be fun for anyone who might wish to explore it. Karoly’s retracted Gergis et al SH hocky-stick paper and his conclusions on a biology paper of modelled 10-day early emergence of Melbourne butterflies based on Avalon Airport temperature history, etcetera, do not fill me with confidence though!
Above is an interesting variation in figure 1.9 on page 44 of the 2nd draft AR5 IPCC report. It is a combination of two other bell curves (a) and (b).
Strangely, the Climate Commission’s claim of their source as from AR4 (S. Solomon et al) is not found in the relevant chapter 3. (E.g. 3.8.2 Evidence for Changes in Variability or Extremes – not there)
Part 2:Some more economies in material facts and relevance:
Back to our recent TV show:
NARRATION: This past year in Australia, we’ve seen plenty of heat. At the Bureau of Meteorology, forecasters have been watching record after record tumble.
The first figure from our Climate Commission below left is compared with data from our BoM. Although the BoM have apparently discarded some hotter old records, still yet, NONE of the remaining State or Territory records were broken in the angry summer according to the current BoM table, (right, modified to fit):
But, back to our TV show again quoting a wise doctor of authority in CAGW:
Dr Karl Braganza [BoM]: January was the hottest month on record. The summer was the hottest on record [in Oz]…
The next two graphs give the BoM time-series records for January and summer monthly maximum average temperature data for the crucially important Murray-Darling (rivers) Basin (MDB) “food bowl”. There was nothing special about summer in that vast area covering substantial parts of four States; a map is available here. (BTW, Oz is roughly the same size as the contiguous USA). According to the BoM the volatility of monthly past extremes in the MDB was greater than in the last decade. The master link is here and it has drop-down menus that enable visit to other regions and seasons.
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So what about the individual States and Territories of Oz? Well here they are (treating the Capital Territory or ACT as part of New South Wales or NSW) for the reportedly hottest month of January, but cut off short for compactness and to ease hotness comparison:
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For more commentary on the earlier unbroken temperature records map above right see this, and here is another reference which includes UAH satellite data for Australia also showing the so-called “Angry Summer”, as rather ordinary.
The drop-down menus enable research of the BoM time-series variously by regions and seasons or months, and my conclusion is that monthly average temperature extremes were greater in the past, and so too was monthly volatility. It would take much space here to demonstrate that but the drop-down menus provide the capability for those that may be interested to research it.
Part 3:Breaking the mood with something almost amusing:
I’ve also submitted a wider ranging formal complaint to our taxpayer funded ABC, concerning the bias and other stuff in this story, (the ABC is required by statute to serve the public, and breached its own editorial policies). I closed the complaint off with this:
Ms [Anja] Taylor was the declared presenter, producer and researcher for this show. She presented almost entirely extreme views with an apparent lack of investigative journalism. With the exception of Dr Fischer’s input about the warming effect of dry soils, (which is not controversial if we ignore Prof David Karoly), all other topics were either demonstrably false or controversial. Not content with presenting scientific material facts and balance, (the Editorial Policies require impartiality), she adds inappropriate drama and irrelevance including these images:
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The weaker the evidence becomes the noisier they have to be to keep the issue alive.
There must be some career opportunities opening up by now for scientists and journalists who would like to make a name for themselves by pointing out that weakness.
They should apply the same methods to climate science as they do to all those other consumer scams.
The narration elucidated how these bell curves clarified why the weather had become more extreme in the past decade
The usual statistical ignorance. If weather/temperature continues a normal distribution with the same SD, which that image shows, then by definition extreme weather stays the same, although of course the average changes.
I believe you will find that the source of the graphs is Dr. James Hansen, ex of NASA GISS.
Thanks for reporting what the Climate Commission here in OZ has been telling their audiences in their promos.
Striking up a conversation before Christmas I asked one of their audio visual team how things were going.
It was really rough. Had to drive a huge van all the way from Sydney to Adelaide full of stuff for a gig.
O yes, it must have been big.
No, it only went for four hours and then we had to drive back again to Sydney.
Was it interesting?
No.
What did they want to do about people who think CO2 isn’t driving climate warming?
Oh, ignore them and don’t debate, they will eventually go away.
The second distribution shows a warming skewdness, but looking at AR5 its just hypothetical and illustrative of what could happen. I don’t see any evidence presented of it actually happening.
Why doesn’t the Climate Commission report on the lack of angry winters since Australia has gotten warmer…..also supposedly due to human activities.
So long as there are gullible people willing to accept anything that is said to them in an authoritative voice, there will be people trying to pull a fast one on them.
So, have you been ignored enough? Ready to go away?
“I also worried that Carl Gauss would probably writhe in his 18th century grave to see his statistical normal distribution curve applied to an extremely complex system by our modern wizards of CAGW. In reality, the real distribution must be very lopsided around the global average of 150 C, (288K).”
Not even measured temperatures are normally distributed; as the Enthalpy of Fusion and Enthalpy of Vaporization make it impossible. Let alone the statistical construct “Global Average Temperature” which has neither a physical nor a statistical meaning – you can take the mean of a non-normally or equally distributed bunch of data but it has no statistical meaning or definition as the Law Of Large Numbers does not hold for such data.
One would have thought that at a certain point climate scientists would have realized at least one of these facts – yet they continue to predict certain behaviours of their invented number “global average temperature”.
They’ve started the “extreme weather” meme. Here in Philadelphia I can’t watch a news program without being told of some extreme weather going on somewhere in the country. Just yesterday it was the “extreme, near record temperatures in the mid west”. (How can a near record be extreme?). What was the temperature? 92F. I’m sorry, but 92F is not extreme, even if it lasts 3 days and becomes the dreaded “heat wave”. Oh my! Then we ha the extreme dust cloud, the extreme rain, the extreme flooding, and the extreme forest fires all in the same day! Wow ! The end is surely near….except I remember seeing these things every summer going back to the 1960’s.. In 1973 92F was hot weather, in 2013 it’s extreme weather.
But does the average person fall for this propaganda? When you’re told that 92F is extreme, do you really believe it’s extreme? I certainly don’t and I suspect they’re trying to sell me something.
In your concept sketch showing the skewed distribution you describe the ‘average’ as being the value that divides the distribution into two equal halves. That is the median not the average and in such a distribution will always be greater than the average or mean. What is the basis for “In reality, the real distribution must be very lopsided around the global average of 150 C, (288K).”
The distributions in the narration appeared to be of the temperature measurements at a single location with time rather than the spatial distribution of temperature across the globe which appears to be what you have plotted.
So, have you been ignored enough? Ready to go away?
Heck no, I like tweaking their noses with the *real* obervational evidence. Sun still quiet, -PDO, another La Nina? Let’s wait a few more years and see who goes away. I have time.
-Frank
Nicely done article. So, if the weather extremes are so bad, how did they explain the growth in population from ~19 million to ~22 million and a decline in the death rate between 2000 and 2012? Looks like all that extreme weather would have been deadly.
Wrong from the start. Temperature distributions on earth, both spatially and temporally, are skewed with a long left tail. In those distributions mean and variance are correlated.
There will be a new Government in Australia in a few weeks, and they will not forget the ruthless campaign the ABC ran in support of Green/Labor. The Climate Commission too is ‘toast’ as the Aussies say. This is their last squeal.
Someone in OZ bothers to watch Aunty? I gave that channel up maybe 15 years ago.
In case anyone is interested to know what distribution of the world longest temperature record looks like:
http://www.vukcevic.talktalk.net/CETd.htm
As a regular reader of Andrew Bolt’s excellent blog and JoNova And Stephen Smith’s blog I can speak about Oz politics. The focus naturally is on which of the two major parties will win and seat the new PM. Lost in the fog of war is what is going to happen to the greens. They are going to be obliterated.
I assume that just because an AVERAGE annual temperature record is somewhat normal (vukcevic above), that doesn’t mean that the raw data itself, or the data at lower time increments, is normal (although it could be). “Extreme Weather” is most commonly occuring in time increments of days (storms) or weeks (droughts) and not whole years.
Some interesting material, but the “line dividing the area equally into two” is the median, not the average.
Phil
If the land surface temperature anomaly for the full set of Australian stations shows a 10-year shift of 0.8 degree C- which appears to correspond to 1SD- then there must be a significant systematic error in play (cyclical variation perhaps).
We had some extreme temps here in Central Fl overnite, down in the 60’s, in August?!?!?
Slightly but not grossly off topic: I read a release this morning showing that the US summer of 2013 had the fewest recorded 100-degree(-plus) days in over a century, counting data from all the reporting stations–something between 1700 and 1800 (my interpolation), compared with about 2200 for the next-lowest year and over 13,000 for the highest (1936 I think). Just a point of interest concerning our current mild-to-cool summer.
This goes back to a recent paper by Hansen, which goes through a lot of verbiage to say that if it gets warmer, it will be warmer. The bell curve part is just to make it look more scientific.
I thought the reason the AGW fruits switched their banner to Extreme Weather was that the average was not changing. so they thought bad things could still happen if the distribution hit the extremes more often, even if this is not predicted by the GCM? So technically, their distribution should not show a shift to the hotter.
Of course, the typically high-low spread in any given place might be 40-50F. But if they showed that that was normal, no one would care about 1C average