Guest essay by Christopher Monckton of Brenchley
The long and model-unpredicted Great Pause of 18 years 8 months in global mean lower-troposphere temperature as recorded in the RSS satellite monthly dataset is inexorably driving down the longer-run warming rate, when the IPCC’s predictions would have led us to expect an acceleration.
The graph shows the entire RSS lower-troposphere satellite dataset for the 440 months January 1979 to August 2015, with the bright blue trend on the entire series equivalent to just over 1.2 C°/century. Overlaid graph in green is the zero trend in the 224 months since January 1997 – more than half the entire 440-month record.
| RSS anomalies (K/century equivalent),
Jan 1979 to Dec of the year shown |
|||||
| 1990 | 0.50 | 1999 | 1.45 | 2008 | 1.41 |
| 1991 | 0.89 | 2000 | 1.37 | 2009 | 1.36 |
| 1992 | 0.33 | 2001 | 1.46 | 2010 | 1.46 |
| 1993 | 0.12 | 2002 | 1.57 | 2011 | 1.36 |
| 1994 | 0.29 | 2003 | 1.66 | 2012 | 1.29 |
| 1995 | 0.66 | 2004 | 1.61 | 2013 | 1.24 |
| 1996 | 0.71 | 2005 | 1.66 | 2014 | 1.21 |
| 1997 | 0.82 | 2006 | 1.61 | 2015 | 1.21 |
| 1998 | 1.53 | 2007 | 1.58 |
As one would expect, the point (2007-8) where the long-run trend-line intersects the Pause trend-line is the moment from which the Pause begins to reduce the long-run trend. As the table shows, the trend had been below 1 K/century till the Great El Niño of 1998 lifted it suddenly above 1.5 K/century. It remained there till 2008, since when it has been dropping gently. From January 1979 to August 2015, the trend was just 1.21 K/century.
In 1990, the IPCC had predicted near-straight-line warming of 1 K to 2025, equivalent to almost 2.8 K/century. Of this warming, more than 0.7 K should have happened by now, but only 0.26 K has actually occurred. The IPCC’s central estimate in 1990, though made on the basis of “substantial confidence” that the models on which it relied had captured all the essential features of the climate system, has proven – thus far, at any rate – to be a near-threefold exaggeration.
In the run-up to the Paris world government conference, the climate Communists are making determined efforts to pretend that the Pause does not exist, or that the rate of warming since 1990 is exactly as the IPCC had predicted. Both pretenses are false. The UAH and RSS satellite data both show the Pause, though the terrestrial tamperature datasets have all been altered in the past year with the effect of concealing it.
Furthermore, the warming rate is now embarrassingly far below prediction. It is worth demonstrating this fact with the IPCC’s own graphs:
The above graph is interesting, because in pale blue it shows the IPCC’s current generation of models – 42 of them – making predictions on the assumption that drastic reductions in CO2 emissions are made. Yet observed temperatures, shown in black, are already visibly at odds with – and falling below – even the least the prediction, and a long way below the central prediction.
As a result of the IPCC’s admission that 111 of its 114 models had over-predicted the warming rate in recent decades, it produced the above graph in its 2013 Fifth Assessment Report, showing a considerable reduction in its near-term predictions.
Whenever the IPCC produces graphs to a tiny scale, it is worth enlarging them to see what is being hidden. The above graph is a considerable enlargement of a tiny corner of an IPCC graph from the Fifth Assessment Report, illustrating clearly (at this scale) the extent to which observed temperatures have failed to keep pace with the models’ exaggerated predictions. CMIP3 was the ensemble of models for the 2007 Fourth Assessment Report: CMIP5 is the current ensemble. Both over-predict, but the latest models (in red) over-predict less drastically than the earlier models (in blue), when compared with observed temperatures (in black).
The above graph shows how drastically the IPCC was compelled to reduce its near-term warming projections between the spaghetti-graph shown and the sharply downward-revised prediction zone between the two green arrows. The red arrows show where the medium-term predictions were in 1990. The observed trend, in black, is trailing along at the very bottom of the prediction zone.
The before-and-after graphs above show the change in the IPCC’s predictions between its pre-final and final drafts of the Fifth Assessment Report.
A point worth making to those who continue to deny that there has been a Pause or that the discrepancy between prediction and reality continues to widen with each passing year is that all of the graphs in this posting, except the first, are IPCC graphs. If even the IPCC is now admitting that the models had exaggerated, it is time for the climate Communists to adjust the Party Line to bring it closer to the real world.
What, then, would be a logical and rational policy for nations to adopt at the forthcoming Paris summit to establish a global government (for the time being this will be called the “governing body”):
1. A secession clause is a freedom clause. Given the failure of prediction that is self-evident in the IPCC’s “consensus” documents, nations no longer willing to spend trillions on the basis of further alarming but probably exaggerated predictions should reserve the right to give a short period of notice and then leave the entire treaty process, and all obligations thereunder, without penalty. The Kyoto Protocol had a secession clause at Art. 27. The Treaty of Paris should have a secession clause also. However, the draft secession clause which – after much work by me and others – was in the Bonn draft earlier this year may well be dropped on grounds of shortening the current draft, so pressure should be brought to bear on your governments to ensure that the secession clause is not dropped.
2. A sunset clause is also advisable, to take account of a possible widening of the discrepancy between exaggerated prediction and unexciting, harmless observed reality. The entire treaty process would be brought to an end, all nations’ obligations thereunder would cease, and the UNFCCC and the IPCC would be abolished, if for any period of at least 20 years during the 21st century the global warming rate, expressed as the least-squares linear-regression trend on any one of the five longest-standing monthly global surface or lower-troposphere temperature anomaly datasets, were to fall below 1 Celsius degree per century equivalent. In business, predictive failures are punished. In global government, let predictive failures be punished also, for the cost of the measures intended to address the non-problem of global warming is in any event disproportionate to the value any conceivable benefit.
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It’s worth noting that pretty nearly all of the putative warming in the surface temperature record since the “pause” began is in the Northern Hemisphere. Kind of takes the “global” out of global warming.
http://i1136.photobucket.com/albums/n488/Bartemis/temperatures_zpsk5yjxh2s.jpg
Interestingly, the SH surface record is pretty close to the satellite temps. Can anyone break out the NH and SH from satellite records?
Note: the plot above is of raw data. There is no detrend of the surface data (parameter was set to zero).
Very interesting. Not sure what to make of it yet. Thanks.
Not quite full SH and NH, but probably even better IMO as can compare to tropics.
UAH
http://www.climate4you.com/images/MSU%20UAH%20TropicsAndExtratropicsMonthlyTempSince1979%20With37monthRunningAverage.gif
RSS
http://www.climate4you.com/images/MSU%20RSS%20TropicsAndExtratropicsMonthlyTempSince1979%20With37monthRunningAverage.gif
Quick calculations from Summer 1980 until start 2014 (Difference from start and end, NOT a mean)
UAH
NH +0.35 c
Tropics +0.35 c
SH +0.125 c
RSS
NH +0.425 c
Tropics +0.25 c
SH +0.15 c
I have noticed between UAH and RSS in the northern hemisphere shows something interesting.
We had GISS and HADCRUT complaining that warming wasn’t happening due to not enough pole coverage.
Well talk about being wrong as usual as it seems nowadays.
The UAH shows less warming in the NH and SH than the RSS. The UAH covers more of both poles compare with RSS. Yet because of this difference LESS warming has occurred not more.
UAH and RSS have better coverage near the poles than do any other data sets.
It’s not a “pause”.
Especially based on only one source of data, with no margins of error shown.
If there were honest margins of error shown (much more than +/- 0.1 degree C., in my opinion), then the past 18 years could be an uptrend, flat period, or downtrend — data are not accurate enough to know for sure.
The word “pause” also implies the trend prior to the pause will soon continue.
No one knows that.
The mild warming since 1850 might continue.
Ice core studies suggest a few hundred more years of mild warming would be a good guess.
And that would be great news, since the only other ‘choices’ are mild cooling, or excessive glaciation.
The mild cooling since 1998 might continue.
Scientists who study solar cycles suggest a few more cool decades.
The cooling since the greenhouse ages might continue.
The warming since peak glaciation 18,000 years ago might continue.
Whether Earth is cooling, or warming, depends mainly on the starting and ending points of the measurements.
A “pause” will never be seen on surface data, since smarmy bureaucrats will just “adjust” the data to get the uptrend they want the general public to see on their chart.
Those bureaucrats will never present satellite data, since they don’t have control over it.
The result is the surface temperature data will always show a rising trend, whether it really exists, or not.
Eventually, after enough “adjustments”, the computer game projections and surface data will match.
I wish you, and everyone else, would present just ONE CHART — showing the lack of correlation of Earth’s average temperature and CO2 levels, since the era of manmade CO2 began in 1940 (showing the average temperature downtrend from 1940 to 1976, and the relatively flat temperature trend in the past 18 years).
Charts that include temperature projections of the next 50 or 100 years give respect to computer game projections that they do not deserve.
Charts that show meaningless 0.1 degree C. temperature changes as huge peaks and valleys, are propaganda charts:
a 0.5 degree C. change should be visible
a 0.1 degree C. change should not be visible — at a glance it should look like a flat line IF YOU WANT THE GRAPH TO COMMUNICATE how meaningless a 0.1 degree C. change is, with margins of error at least that large, and probably several times larger.
Other than your first chart, the remaining charts are too LOUD, annoying, and hard to read.
One simple black and white chart of average temperature and CO2 levels since 1940 would have conveyed a clear, concise message better than all of your charts combined.
The continued reluctance of almost all “deniers” to state that the warming and CO2 increase since 1850 has been good news for people, animals and plants … means almost all “deniers” are lost in climate minutia.
“Deniers” debating tiny changes in the average temperature of the past 18 years … will never be able to refute scary predictions of the FUTURE climate.
Especially when the “deniers” use a data source (satellites) ignored by the climate doomsayers, and never included in their NASA / NOAA press releases.
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When the climate STOPS changing , THEN we should start worrying !!! My 2 cents worth !!!!
Call me an Idiot if you want, but aren’t the IPCC global temperature scenarios with reference to surface temperatures?
What’s this obsession with comparing them to lower-troposphere (that is altitude around 14,000 ft) temperature estimates?
You surely know they are supposed to be proportional. Moreover, there is supposed to be enhanced warming of the upper troposphere, which can also be measured with the satellites, and it is running much lower than the model predictions, and even lower than tropical SST trends, when it is supposed to be 2X as large.
http://www.drroyspencer.com/wp-content/uploads/Upper-troposphere-vs-tropical-SST-sat-vs-CMIP5.png
Which is the satellite product which you term the ‘upper troposphere’?
The TLT from RSS includes a substantial contribution from the surface and includes contributions up to an altitude of 10 km.
The one that says “upper troposphere”. Read about it here.
Have we seen a change in the lapse rate?
The so-called “surface station data” series are totally bogus works of science fiction.
Since the surface data set is hopelessly inadequate and rife with unrecoverable data quality problems
(All of which have been extensively documented) the satellite data set is in reality the only game in town.
Satellite data is heavily modified due to changes in orbiting satellites as well as orbital decay. Don’t take my word for it, take that of Dr. Roy Spenser: “Since 1979 we have had 15 satellites that lasted various lengths of time, having slightly different calibration (requiring intercalibration between satellites), some of which drifted in their calibration, slightly different channel frequencies (and thus weighting functions), and generally on satellite platforms whose orbits drift and thus observe at somewhat different local times of day in different years. All data adjustments required to correct for these changes involve decisions regarding methodology, and different methodologies will lead to somewhat different results. This is the unavoidable situation when dealing with less than perfect data.”
http://www.drroyspencer.com/2015/04/version-6-0-of-the-uah-temperature-dataset-released-new-lt-trend-0-11-cdecade/
“Somewhat” being the operative word. No data are perfect, but the satellite data are far more perfect than the surface data.
We have two satellite datasets which don’t represent the same parameter as the surface sets, they no longer even cover the same part of the atmosphere, UAH 6.0 has a significantly larger contribution from the stratosphere than RSS. If you want to describe the temperature where we actually live the satellite sets are far from perfect.
The “surface data” aren’t even data. They are man-made artifacts, not observations. HadCRU has even lost their original “observations”.
Never said “perfect”. Said “more perfect”. If you have a problem with that, take it up with the Founding Fathers.
Bart said: “No data are perfect, but the satellite data are far more perfect than the surface data.”
What is the basis for your drawing that conclusion? Please don’t say “it’s ovbious”, that is not a scientific foundation.
Lady G said: “The “surface data” aren’t even data. They are man-made artifacts, not observations. HadCRU has even lost their original “observations”.”
And satellite data is a proxy of a proxy for surface temperature, and yet you seem to be perfectly ok with that – even though there are known problems with the data: http://link.springer.com/article/10.1007%2Fs00382-013-1958-7
The surface data are sparse and non-uniformly distributed around the globe, with massively unequal coverage of the Northern and Southern Hemisphere, and the distribution has changed over time. Individual measurements are relatively inaccurate and relatively few, and reflect the daily median rather than the mean. Data are extrapolated over uncovered areas in contravention of basic sampling reconstruction laws. Selection of data to be included are arbitrary, and subject to the whims of those compiling the final product.
It is an indicator of pseudoscience that, whenever the measurements do not reflect the desired outcome, the method of processing is changed to produce a more congenial result. Adjustments to the satellite record have gone both ways, producing both relative warming and cooling. Adjustments to the surface data only in the direction of more warming.
It is a farce. If you know the surface data are dodgy and go along with it for “the cause”, then you have no scruples. If you truly believe the surface data are reliable, you have no marbles.
This article is comparing measured trend to IPCC projections. Didn’t the IPCC also state the trend thus far at the time of each report? What were those trends, and their time periods?
” The United Nations body that oversees greenhouse gas reductions is reeling from another cap-and-trade scandal that may have put 600 million tons of carbon emissions into the atmosphere — roughly speaking, the annual CO2 output of Canada or Britain — while the emissions were ostensibly suppressed, according to an independent study.” Fox News…today !!
Technical quibble, but the truth is a bit stronger than one point, as stated. Specifically, this sentence isn’t quite right:
“As one would expect, the point (2007-8) where the long-run trend-line intersects the Pause trend-line is the moment from which the Pause begins to reduce the long-run trend.”
Actually, the “moment” the pause began to reduce the long-run trend was earlier. To demonstrate this, compute the long term trend as of, say, the end of 2004. Then compute it as of the end of 2005 and it’ll be lower.
The portion of the pause that is below the long term trend line is meaningful. I’m just not sure what the right words for that are — something with the word “contribution” in it, I suppose.
The Pause did not really begin to bring the long-run trend down until after the crossover-point in 2007-8. As you will see from the table of trend values from 1979 to successive years, it was in 2008 that the trend began to fall from its peak.
The inflexion point is best illustrated below.
http://3.bp.blogspot.com/-gH99A8_0c6k/VexLL1zC7AI/AAAAAAAAAaQ/T50D6jG3sdw/s1600/trendrss815.png
The peak at about 2003 shows a 12 year delayed response to the peak in solar activity at 1991.
http://3.bp.blogspot.com/-QoRTLG14Siw/VdOUiiFaI5I/AAAAAAAAAYM/NxQVb2LMefk/s640/oulu20158.gif
For estimates of the timing and amplitude of the coming cooling based on the natural 60 and 1000 year quasi-periodicities see
http://climatesense-norpag.blogspot.com/2014/07/climate-forecasting-methods-and-cooling.html
Dr. Page, I’m just offering an opinion here, but global mean temperature must decline continuously for a period of perhaps thirty years — possibly even fifty years — before the mainstream climate science community ever begins to question the validity of the climate models.
If anything else happens — for example, if the trend in GMT is basically flat for thirty years, or if global mean temperature begins to rise at some statistically significant rate which is still well below what the IPCC AR5 models predict — the mainstream climate science community will not retreat from its basic position that man-made causes, mostly in the form of rising GHG emissions, dominate most temperature variation within the earth’s climate system.
Beta Blocker, See what I think about verification at
http://wattsupwiththat.com/2015/08/31/the-epistemology-of-explaining-climate-forecasting-so-an-8-year-old-can-understand-it/
Here is a quote
“Remember ,I mentioned the 60 year cycle, well, the data shows that the temperature peak in 2003 was close to a peak in both that cycle and the 1000 year cycle. If we are now on the downslope of the 1000 year cycle then the next peak in the 60 year cycle at about 2063 should be lower than the 2003 peak and the next 60 year peak after that at about 2123 should be lower again, so, by that time ,if the peak is lower, we will be pretty sure that we are on our way to the next little ice age.
That is a long time to wait, but we will get some useful clues a long time before that. Look again at the red curve in Fig 3 – you can see that from the beginning of 2007 to the end of 2009 solar activity dropped to the lowest it has been for a long time. Remember the 12 year delay between the 1991 solar activity peak and the 2003 temperature peak, if there is a similar delay in the response to lower solar activity , earth should see a cold spell from 2019 to 2021 when you will be in Middle School.
It should also be noticeably cooler at the coolest part of the 60 year cycle – halfway through the present 60 year cycle at about 2033.
We can watch for these things to happen but meanwhile keep in mind that the overall cyclic trends can be disturbed for a time in some years by the El Nino weather patterns in the Pacific and the associated high temperatures that we see in for example 1998 and 2010 (fig 2) and that we might see before the end of this year- 2015.”
When dealing with a millennial cycle the verification period is inevitably long in human terms.
Dr Page’s use of trend-lines is non-standard. The correct comparison between the Pause and the longer-term trend is set out in the head posting. The table of values for the long-run trend from 1979 to successive years shows very clearly that the Pause did not begin to depress the long-run warming rate till 2007/89.
Monckton. There is no “standard” way of picking the starting points of trend lines. For example the start point of about 1980 is entirely arbitrary as far as the real world trends are concerned .What everyone does is to pick the start ends and inflexion points which best illustrates whatever working hypothesis one is trying to illustrate.
I’m trying to show that perhaps the most egregious error of the establishment is to make straight line projections of quasi- periodic processes as illustrated below.
http://4.bp.blogspot.com/–pAcyHk9Mcg/VdzO4SEtHBI/AAAAAAAAAZw/EvF2J1bt5T0/s1600/straightlineproj.jpg
I picked 2003 because
1. if you eyeball the graph ( ignoring the El Ninos as temporary aberrations) successive peaks climb to this point and begin to generally trend very gradually down from there.
2. A peak at 2003 fits well with the overall idea of a solar activity peak at 1991 based on reported delay times between solar activity and climatic effects.
My interpretation is not therefor based simply on the temperature record alone but on the total picture.
You have to step back far enough to distinguish the wood from the trees
Dr. Page, I appreciate the work you’ve done in documenting the issues with the climate models; and of course you have your own body of analysis which documents your case that The Pause is an inflection point signifying a long-term cooling trend.
As a lukewarmer, I have my own opinions as to where GMT will go between now and the end of the 21st Century, based on my Parallel Offset Universe climate model, which is documented here in this graph:
http://i1301.photobucket.com/albums/ag108/Beta-Blocker/GMT/BBs-Parallel-Offset-Universe-Climate-Model–2100ppx_zps7iczicmy.png
The graph represents my opinion that whatever the combination of causes for the long-term rise in GMT are, they will continue into the future for at least another hundred years, if not longer. My entire analysis is self-contained in the graphic. There is nothing more to it than what is presented in the lines and the words contained in the illustration.
Three alternative scenarios are presented, and all three scenarios assume some level of man-made warming resulting from GHG emissions, with Scenario 1 assuming the most influence from GHG’s and Scenario 3 assuming the least. Of the three scenarios presented, the +1 C rise in GMT between 2015 and 2100 is the one I suspect is most likely to occur.
In other words, when in doubt, assume that current trends will continue.
As for the interactions which occur between climate science matters and public policy matters, a robust public debate concerning the validity of mainstream climate science will not occur until and unless governments move beyond what is now mostly talk and begin to take strong action against GHG emissions in ways that directly and powerfully affect the life styles of middle class voters.
Here in America, we are not there yet, not even close. Whether or not we will ever go there is something which is yet to be determined.
Where we go depends entirely upon who controls the White House and how far the sitting President wants to go in using the EPA to its maximum possible effectiveness in legally and constitutionally enforcing strong anti-GHG measures. As for what is now being done by the EPA, the Clean Power Plan merely scratches the surface of what could be done by the Executive Branch in the absence of buy-in from the Congress.
That said, here on this WUWT thread we are getting a small taste of how that robust public debate might proceed if and when the impacts of government-imposed anti-GHG measures begin to directly affect the economic and social circumstances of a majority of middle class voters, something which has not yet happened.
Predictably, if and when a truly robust public policy debate over climate change begins to occur — i.e., once government-imposed anti-GHG measures are directly and powerfully affecting the life styles of middle class voters — mainstream climate scientists will continue to defend their climate model predictions using every argument they can muster, and they will also continue to defend their hockey stick for the simple reason that it forms a primary body of independent verifying evidence that man-made climate change is occurring.
Beta Blocker
You say
“In other words, when in doubt, assume that current trends will continue” Not so- when your current trends go back for too short period.
Obviously my view is that you are making the same fundamental error as the establishment and ignoring the 1000 year quasi – periodicity. See below – don’t you think it is blatantly obvious that we are approaching, just at or just past a millennial peak.?
http://1.bp.blogspot.com/-Mj4eZioh8C8/VdOHYKQnKrI/AAAAAAAAAX4/JU-PJhgqKEg/s1600/fig5.jpg
I am personally amazed at the capacity of so many to ignore the blatantly obvious for so long.
For more complete discussion of why I think we are just past the peak see
http://climatesense-norpag.blogspot.com/2015/08/the-epistemology-of-climate-forecasting.html
Monckton. There is no “standard” way of picking the starting points of trend lines.
================
as a general rule, if a change to the end points changes the trend, then what you have is not a trend, it is at best a sample.
the problem comes when people try and fit trend lines on X years of data, then are surprised when X+1 years of data shows a different trend.
Clearly, the fact that the trend changes when you add an extra years data is conclusive proof that the data is not following the trend, and thus the trend is not a true trend. It is simply a mathematical illusion. We call it a trend, but it is not. It is better called a “false trend”.
Dr. Page, my personal interest, as it concerns the issue of climate change, lies in examining the various interactions which occur between public policy matters and scientific matters.
Suppose for purposes of argument that your 1000-year periodicity theory has merit, but that the downward inflection point is still 100 to 200 years away as a result of some combination of warming caused by GHG emissions and other factors related to natural variation. (This may or may not be so, but let’s suppose your postulated inflection point is in the pipeline but has not happened yet,)
My basic points concerning the above supposition are twofold: (1) Mainstream climate scientists will not retreat one iota from their “warming is mostly man-made” narrative unless a long and statistically-significant downturn in GMT occurs; and (2) a robust public debate over the validity of mainstream climate science will not occur unless there is a powerful incentive for that public debate to occur.
If President Obama, or whoever the next president happens to be, begins using the full power of the Executive Branch to enforce a series of strong and effective GHG reduction measures, then a robust public debate over the validity of mainstream climate science will commence and you might get your opportunity to break out of the bounds of the CAGW Internet blogosphere into a larger audience venue.
But if President Obama, or whoever the next president happens to be, simply pursues the Clean Power Plan and imposes no further GHG reduction measures beyond the current plan, the public debate over the validity of today’s climate science will never reach critical mass and your 1000-year periodicity theory will remain simply one of a number of alternative predictions for where trends in GMT are headed.
Beta Blocker If you look at my various comments and links, I think that far from being 200 years away that we have just passed the millennial peak and that this argument may well be tested to some degree in the reasonably near future I read again my 4:18 post above.
I see little value in discussing unlikely scenarios “for the purposes of argument.” We should make policy on the basis of forecasts that we think most realistic based upon the time spread of data most appropriate to the quasi- periodicity involved. If the trend from 2003 is still negative in 2021 I do not think the warmists will be able to continue peddling their scary scenarios.
The GMT went up and down during the Phanerozoic eon. That could not happen if CO2 had an effect on climate.
Proof that CO2 has no effect on climate and identification of the two factors that do cause reported global mean temperature (GMT) change (sunspot number is the only independent variable) are at http://agwunveiled.blogspot.com (new update with 5-year running-average smoothing of measured GMT. This shows the near-perfect explanation of GMT since before 1900; R^2 = 0.97+). Use of V2 SSN changes some coefficients but has no significant effect on R^2.
While Hadsst3 just set a new August (and all time record) at 0.664, the August RSS value was only the fourth highest August anomaly.
Expected with the changes to data sets not comparable to previous years and was always altered with records broken in mind. Global surface temperatures and the new ocean set now would probably have to be around 0.1 c to 0.2 c cooler just to match what the previous data set showed. With so few measurements compared to the size of the world, it is very easy to tamper towards a warmer showing set.
Greetings Lord Chris, I have been waitiing for you to pop up again so I could address a part of the total scam as I see it, to you.
My issue is that both sides of the Global Warming/Climate Change/Oceran Acidification debate seem to revert to references to ill-defined and therefor un-measurable parameters. It seems to me that if it can’t be defined it can’t be measured. If it cant be measured then differences can’t be estimated credibly.
I respectfully note that you too seem to be guilty in the use of the unmeasurable global temperature in this essay. I mean that in a constructive way.
The following is a recent exchange related to Oceanic Acidification which outlines my problem.
I blogged as grumpyoldman22.
GOM22
” I have been trying to get someone out there to give me a scientific definition of global (surface) temperature. I could perhaps then see what relevance it could have to atmospheric heat content. The same info has also been sought for ocean temperature. If I could have definitions I could understand how it can be measured and consequently altered by some action.
It is this lack of proper definition and general lack of understanding of how a model-based term is applied to actual atmospheric or oceanic behaviour that invariably leads debate insidiously back to using terms that include ºC (or Farenheit or Kelvin) in the arguments of both sides. As soon as ºC appears in the debate there is the presumption that the quoted value has agreed validity unless challenged at each appearance.
My view is that we do not have the means to measure sufficient samples of atmosphere or ocean temperature simultaneously at any point of the time continuum to be somehow averaged and used meaningfully in a debate on climate. The same question can be asked of climate itself: define climate first then measure it and compare changes over time.
If the real parameter can’t be measured except from models how can we hope to propose causes and effects? ”
Reply 1:
Reply to grumpyoldman22 ==> A fair question — perhaps more appropriately asked in response to a essay or column dedicated to Global Temperature issues.
Reply 2:
“…define climate first…”
For what it is worth IPCC AR5 glossary defines climate as weather averaged over 30 years.
grumpyoldman22
To which I responded:
“There are definitions like this in Wikipedia too. They are not scientific in any way and consistently deflect giving an answer to my problem.
And— Reply (2)…… of 8:03am is also a deflection. I believe the OA addicts have entrenched the ficticious global temperature in their pseudo science about reduced alkalinity.”
Hope this reaches your desk before you are innundated by rising sea level.
Grumpy old man, I agree, not only that “global average temperature” cannot be measured using surface thermometry, but that it cannot be defined in a meaningful way.
I’ve said this before, and I would do it if I had the time and funding and a bunch of grad students to do it. To use surface thermometry to establish temperature-time trends, you should AVERAGE THE TRENDS, not TREND THE AVERAGES. First you would pick measuring stations that haven’t changed their environment over time (i.e. no UHI effect) and plot temperature-time for each station separately after you have normalized each one to its own average over a consistent long period (e.g. 1900-1960 for the sake of argument). You would also have to normalize against seasonal variations, and this might take some trial-and error to get right. Then you would have a set of numbers that you could average, or better yet, use a spatial-statistical approach like kriging to try and pick out how trends vary across the globe (and with altitude). It would still be a bit heavy-handed until you had broken it down into seasonal trends (winters getting warmer but summers staying constant?). Big job, but it might generate some real insight into how temperature has varied through time.
There are probably objections to this approach, but it seems to me that the results would have a bit more real-world meaning than these HADCRUT global averages (even without “adjustment”).
Quick-and-dirty approach might use monthly maxima and minima to define trends. Don’t know how useful that would be till you tried it.
Smart Rock
You seem very familiar, very demanding, with your skills about averaging and documenting variable “weather” data. OK, so here is my challenge.
I have some 38,000 hourly 2 meter air temperatures, dewpoint temperatures, wind speeds, and pressures over a period from 2010 through 2015 for one particular latitude.
I need the equations for air temperature, relative humidity, wind speed, and pressure for each of the 24 hours of the day for every day of the year.
What do I average and how do I get it?
Average each of the 5 years of data? Average each 5 years of each day’s and each hour’s data to create a best fit polynominal for each of the 24 hourly curves?
grumpyoldman22:
You say
It cannot be measure and has no possibility of a calibration standard.
I refer you to my above comment, to read all of it, and to use the link it provides when it says
Richard
grumpyoldman22
This is an aside to correct a reply that you report was given to you.
You say
No, the “IPCC AR5 glossary” does NOT define “climate as weather averaged over 30 years”.
That untrue statement confuses climate with the classical period for averaging climate variables .
The “IPCC AR5 glossary” is here and says
So, climate is an average over any period “ranging from months to thousands or millions of years” but the chosen period must be stated.
And, the “classical period for averaging these variables is 30 years”; i.e. when computing anomalies then the anomaly is started as a difference from an average value obtained from a 30-year period.
The various data sets for global temperature (e.g. HadCRUTx, GISS, RSS, etc.) demonstrate this. They each provide climate data for individual years but as differences (i.e. “anomalies”) from a 30-year period. And they each use a different 30-year period.
The World Meteorological Organization defined the purely arbitrary length of 30 years for the “classical period for averaging” in 1958 as part of the World Geophysical Year. This length was chosen because it was thought that there was not adequate climate data for before 30 years earlier (i.e. for before 1928).
It should be noted that the arbitrary period of 30 years is an unfortunate choice for comparison with climate data: 30 years is not a multiple of the length of the solar cycle, or the Hale Cycle, or etc.).
People demonstrate that they know NOTHING about climate when they make the untrue assertion that climate is weather averaged over 30 years.
Richard
Well done RichardSCourtney. It’s helpful when experts with experience oppose misinformation with correct facts and primary sources. Thank you.
In response to those who ask for new definitions of global temperature, let us begin by making it clear that there is nothing inherently wrong in trying to determine a global mean temperature.
For the terrestrial record, what is badly needed is a standard specification for the instrumentation, a more complete and less uneven coverage, an exclusion of all data contaminated by urban heat island effects, and a sufficient sampling frequency.
For the satellite record, more and newer satellites are also desirable.
My monthltpy temperature reports do not, on the whole, delve into these questions, and I go to some trouble to avoid interfering with the data as it is presented by the keepers of the datasets. I use the simplest of all trend analyses, least-squares linear regression, because everyone with some background in statistics understands it, and because it is the method recommended by the IPCC in its Fifth Assessment Report.
The most important thing about this monthly series is that no one else has systematically and regularly compared the data with the predictions. The shrieking, hysterical fury with which the results are treated by the climate Communists whenever they appear shows how frightened they have become at the ever-widening discrepancy between prediction and observation, particularly in the run-up to the attempt in Paris this December to set up a global government using global warming as the pretext.
Monckton of Brenchley:
I agree everything in your above essay but write to comment on a statement in a post you have made in this thread.
You say in this post
Whether or not you are right when you say, “there is nothing inherently wrong in trying to determine a global mean temperature” it is an important fact that there is no agreed definition of global mean temperature (i.e. mean global temperature: MGT).
As reported here a group of us considered MGT according to two interpretations of what it could be; viz.
(i) MGT is a physical parameter that – at least in principle – can be measured;
or
(ii) MGT is a ‘statistic’; i.e. an indicator derived from physical measurements.
These two understandings derive from alternative considerations of the nature of MGT.
And we discovered that the teams who generate the data sets of MGT each uses a unique definition of MGT that is not used by the other teams. And almost every month each team changes the definition of MGT that it uses so all the data sets of MGT change from month to month. The resulting effect is this.
Full explanation of these matters is provided by Appendix B of the link.
In summation, there is no need for “new definitions of global temperature” but there is need for
(a) a definition of global temperature which is agreed and applied by all
or, alternatively,
(b) each team needs to specify what climate effect its unique (and unchanging) definition is intended to indicate.
Richard
“…there is nothing inherently wrong in trying to determine a global mean temperature.”
Well, there is something inherently fuzzy about it, at least. An increase in average temperature gives an implication of increased stored energy, but it is not conclusive in that regard.
It will be interesting to see how the Climate Liars at the Paris Howlathon handle the “Pause”. My guess is that they’ll use every trick in the book, beginning with calling it a “slowdown” instead of “Pause”. They’ll haul out all the excuses, from “hidden heat” deep in the oceans and and all the rest, thus using the “muddying the waters” technique, to basically saying that it doesn’t matter, it’s just a “natural variation”, and the “evidence” is right before our eyes; at which point they’ll haul out everything, from “melting glaciers”, “melting icecaps”, “rising sea levels”, “more violent storms”, floods, fires, etc. etc. They have raised lying to an art form.
Dear Lord Monckton:
Several times I have tried to guide you about using temperature graphs correctly, to no avail. I recall putting out comments in May as well as during the last month (“The Pause lengthens yet again”) and getting bo response. Worse yet, you are still showing temperature graphs the old way, paying no attention to what I said. I am not doing this to show off but I simply want to bring out the information that is there but which you were too lazy to teach yourself. Let us start with your figure 1 in this article. It is a satellite representation of temperature sine 1979 by RSS. On the right you have drawn in the level of the current hiatus in green, which is commendable. The actual physical beginning of that hiatus is 2002, not 1997 because that is the end point of a short step warming that created the platform upon which that hiatus sits. The super El Nino you include is a random addition that conveniently extended it without being a physical part of the hiatus. But then you screw up because for whatever reason you draw an up-sloping straight line through the entire satellite era. This is non-sensica;’f. It belongs nowhere except in the wet dreams of warmists. The section to the left of the super El Nino is an ENSO wave train consisting of five El Ninos with La Ninas in between them. It was cut short by the arrival of the super El Nino of 1998 that is not a part of ENSO. It came and left very fast. In its wake there was a short step warming that started in 1999. In only three years it raised global temperature by a third of a degree Celsius, and then stopped. It was also the only warming during the entire satellite era since 1979. A third of a degree is not small if you consider that according to Hansen the total warming of the entire twentieth century was only 0.8 degrees, and other estimates are even lower. When the hiatus was ten years old Hansen suddenly noticed it and quickly grabbed it for the greenhouse effect. That is quite impossible because there was no increase of atmospheric carbon dioxide when the step warming started. Since that step warming stands alone in the middle of the satelite era we must expect that its ecological consequences, if any, will become visible in the twenty-first century. And now lets tackle the left side where ENSO rules. In a situation like that the global mean temperature is determined by the center point of a line connecting the top of an El Nino peak with the bottom of its neighboring La Nina valley. If As I explained in my book “What Warming” El Ninos and La Ninas come in pairs because they are generated by a harmonic oscillation of the Pacific basin. I put dots to mark the center points of these lines and found that the dots formed a horizontal straight line. The line was 18 years long, proving that for eighteen years there was no warming there. You will find it as figure 15 in my book. This means that there existed a hiatus of eighteen years in the eighties and nineties amd yet we did not know anout it. I have periodically drawn attention to this fact but have been ignored. I can see why warmists will want to ignore this but those opposing the global warming scam have remained equally ignorant. And this is why I give you a failing grade for doing your homework. You must fix it by getting rid of the up-sloping line in this and other graphs you made and putting in the the line showing the hiatus in the eighties and nineties. There is even more to this, however, because I also discovered that warmist thugs had covered up the hiatus with a fake warming called “late twentieth century warming.” It appears now as part of the official global temperature curve. I discovered in 2008 that HadCRUT3 was instrumental in cooking up this cover-up and even put a warming about it into the preface of my book. It was completely ignored. Later I found that GISS and NCDC were co-conspirators in the cover-up because they all had their outputs trimmed by the same computer and the computer left is footprints on their official output curves. Changing scientific data with intent to deceive is a scientific crime. It should be investigated and punished as appropriate. Arno Arrak
Arno, several times commenters have tried to guide you about the use of paragraphs, to no avail.
He fancies himself another James Joyce, I think.
I mentioned before the super El Nino makes no difference and is illustrated in the chart below.
http://i772.photobucket.com/albums/yy8/SciMattG/RSSvRemovedElNino_LaNina1997-2001_zpsxgmb0osy.png
Removing the El Nino 1997/98 and La Nina after it makes no difference on the pause (actually not a pause, but a new cooling period). In fact on this example it shows a very slight cooling instead.
Correct link from above is here if does not work.
http://i772.photobucket.com/albums/yy8/SciMattG/RSSvRemovedElNino_LaNina1997-2001_zpsc7piknah.png
Regarding the inflexion or cross over point, a 121 month filter always picks out a maximum or minimum in data that is decades long. It has shown below the peak of the 121 month filter occurs in 2005. So this rules out point 2003 and 2007/8, but they are still fairly close.
http://i772.photobucket.com/albums/yy8/SciMattG/RSS%20Globalv13v121month_zpscmfmnhcm.png
I note sunspot activity is low for the new century. Could this contribute to the current cooling “trend”?
Astro-physicists and other experts might like to comment.
Thanks