This beautiful graph was posted at Roy Spencer’s and WattsUp, and no skeptic should miss it. I’m not sure if everyone appreciates just how piquant, complete and utter the failure is here. There are no excuses left. This is as good as it gets for climate modelers in 2013.
John Christy used the best and latest models, he used all the models available, he has graphed the period of the fastest warming and during the times humans have emitted the most CO2. This is also the best data we have. If ever any model was to show the smallest skill, this would be it. None do.
Scores of models, millions of data-points, more CO2 emitted than ever before, and the models crash and burn. | Graph: John Christy. Data: KMNI.
Don’t underestimate the importance of the blue-green circles and squares that mark the “observations”. These are millions of radiosondes, and two independent satellite records. They agree. There is no wiggle room, no overlap.
Any sane modeler can only ask: “But how can the climate modelers pretend their models are working?” Afterall, predicting the known past with a model is not-too-hard; the modeler tweaks the assumptions, fiddles with the fudge [...]
Thermometer circa 1790
Lüdecke, Hempelmann, and Weiss found that the temperature variation can be explained with six superimposed natural cycles. With only six cycles they can closely recreate the 240 year central European thermometer record. There is little “non-cyclical” signal left, suggesting that CO2 has a minor or insignificant effect.
The three German scientists used Fourier analysis to pick out the dominant cycles of one of the longest temperature records we have. The Central European temperature is an average of records from Prague, Vienna, Hohenpeissenberg, Kremsmünster, Paris, and Munich.
The dominant cycle appears to be about 250 years. There is also a cycle of about 60 years, corresponding to the Atlantic/Pacific decadal oscillations.
Data is of course, always the biggest problem. If we had 10,000 years of high quality global records, we could solve “the climate” within months. Instead, we have short records, and Lüdecke et al, make the most of what we have. The European records are only 240 years long, or (darn) one dominant cycle, and only one region, so to check that the results are valid over longer periods they also analyze a the 2000 year Spannagel Cave stalagmites proxy, where the dominant cycle of roughly 250 years is [...]
I’m not keen on short term trends at all, they have a habit of flicking in and out of statistical significance with each month’s new data, or even switching from cooling to warming. But for what it’s worth, and only time will tell, perhaps the world entered the downswing of the PDO cycle in temperatures circa 2005.
If the world was entering a gently cooling phase, this is what it would look like
Syun Akasofu pointed out that there was a simple 60 year oscillation of global temperatures (about 30 years of warming, about 30 years of mild cooling) on top of a long slow rise that started more than 200 years ago. He predicted that we were at the top of one of the cycles, and were about to see the beginning of a cooler cycle. This early data suggests he may be right.
See the little red dot with the green arrow at about the 2010 mark. Dr Syun Akasofu
The cooling for the last eight years is statistically significant in 4 of the 5 major air temperature datasets. One, UAH, shows a small (statistically insignificant) rise since 2005.
And here’s the political point: how many of [...]
Joint Post: Jo Nova and James Doogue
The UK Met Office are completely impartial about global warming, and delighted that things are not going to warm as fast as they thought. So to draw attention to the good news they waited to release it on the … quietest possible news-day of the year. Oh. But remembering that they are public servants, they had to settle for the second quietest, and release it on the day before Christmas instead.
These are the people who said the science was settled, and the deniers were wrong, except that it wasn’t and they weren’t.
Unfortunately for the Met boys, the skeptics noticed (h/t Tallbloke and Richard Smith), and now, not only do they have to handle the heat of that partial reversal , now they also have to admit the cheap PR trick backfired — they were caught in a cowardly attempt to hide the news. Busted. See Bob Tisdale here for very nice graphs.
Graph from The Australian. (Don’t blame me for the decadel’s – sic)
This has been picked up now by Daily Mail, GWPF, Delingpole, The National Post (Canada) and this weekend, The Australian.
“To put it mildly, it [...]
Joint Post: Jo Nova and Tony Cox
Even most skeptics agree that the world has been warming during the last 50 years, but there is apparently no significant underlying warming trend in 46 out of 47 years of data. Something decidedly unusual happened to the world in 1977 and we don’t know for sure what it was. The world got warmer, and the change “stuck”. But there were no extra emissions of CO2 in that year, so there is no reason to pin this to CO2.
It’s difficult to believe we are not sure – but the last 50 years of warming trend depends on that single stepwise leap in 1977. Look at the graph below. Does it show one strong underlying warming trend, or is it really a trend so insignificant that it wouldn’t exist if there was not a step change that artificially bolstered it?
A series of two flat lines can appear to be a continuous warming trend if a linear trend line is fitted because it ignores the step change. McKitrick and Voselgang
This step effect was first noted by David Stockwell in 2009
The continuous warming appears to be obvious in the records of [...]
David Archibald, polymath, makes a bold prediction that temperatures are about to dive sharply (in the decadal sense). He took the forgotten correlation that as solar cycles lengthen and weaken, the world gets cooler. He refined it into a predictive tool, tested it and published in 2007. His paper has been expanded on recently by Prof Solheim in Norway, who predicts a 1.5°C drop in Central Norway over the next ten years.
Our knowledge of they solar dynamo is improving, and David adds the predicted solar activity ’til 2040 to the analysis. Normal solar cycles are 11 years long, but the current one (cycle 24) is shaping up to be 17 years (unusually long), and using historical data from the US, David predicts a 2.1°C decline over Solar Cycle 24 followed by a further 2.8°C over Solar Cycle 25. That adds up to a whopping 4.9°C fall in temperate latitudes over the next 20 years. We can only hope he’s wrong. As David says ” The center of the Corn Belt, now in Iowa, will move south to Kansas.”
He also predicts continuing drought in Africa for another 14 years, with droughts likely in South America too.
If he’s right, [...]
Years before Climategate, THAT email, from Phil Jones to Warwick Hughes told us everything we needed to know about the scientific standards at the Climate Research Unit of East Anglia. THAT email was the tip of the iceberg, and below is what lay underneath the surface — the things that were said behind the scenes at the time. Geoff Sherrington has pieced together a sequence of climategate emails, his own emails, and parts of Warwick Hughes work to recreate the sequence.
And for the true skeptic-aficionados, here’s a new layer of history to the skeptical chronology. Where did this volunteer audit movement begin?
Who would have guessed that at least one skeptic, Hughes, was asking for the data Phil Jones worked with, as long ago as 1991? (That was way back in the days where people worked with hard copy print outs, and drew graphs by hand!) Does Hughes rank as volunteer Skeptic Number 1?
UPDATE: I asked Warwick, and he thinks the first unpaid skeptic was Fred Wood in 1988*. — Jo
Guest post by: Geoffrey H Sherrington, Scientist.
This is the longer story behind one of [...]
Have you wondered what the global raw rural data tells us?
What did those thermometers say before the adjustments, smoothing, selection, and averaging?
This just might be the first time anyone has publicly compared the global raw data to published adjusted data sets in this way.
Frank Lansner has been dedicated in the extreme, and has developed a comprehensive Rural Unadjusted Temperature Index, or RUTI. One of the most interesting points to come out of this extensive work is the striking difference between coastal stations and inland stations. Frank kept noticing that the trend of the inland stations was markedly different from coastal stations and island stations.
Fig1. Red-Blue lines mark regions where there was a different coastal to inland trend. In green areas the two trends were similar.
What he finds is perhaps not so unusual: The coastal areas are heavily influenced by the sea surface temperature. Inland stations record larger rises and falls in temperature, which is hardly surprising. But, the implications are potentially large. When records from some stations are smoothed over vast distances (as in 1200 km smoothing), results can be heavily skewed by allowing coastal trends to be smoothed across inland areas. What Lansner [...]
Fans of man-made global warming frequently tell us seas are rising, but somehow forget to mention the rise started 200 years ago, long before our coal-fired electricity plants cranked up, and long before anyone had an electric shaver, or a 6 cylinder fossil-fuel-spewing engine. Something else was driving that warming trend.
Here is the data from tide gauges going back 300 years from a paper by Jevrejeva et al 2008.
[Graphed by Joanne Nova based on data from Jevrejura et al located at this site PMSML]
This graph was calculated from 1023 tide gauge records [Jevrejeva et al., 2006] going back to 1850.The 2008 study extended the record further using three of the longest (though discontinuous) tide gauge records available: Amsterdam, since 1700 [Van Veen, 1945], Liverpool, since 1768 [Woodworth, 1999] and Stockholm, since 1774 [Ekman, 1988]. Obviously since there are only three old records, the error bars are a riot.
The Jevrejeva paper is also useful for portraying the 60 year rolling cycle. The regular ups and downs are obvious when the rate of change is plotted (see below).
Was 2010 “the hottest year ever” as the PR machine repeats ad nauseum? Yes — but only if you ignore three of the four main global datasets and those awkward questions about why nobody thought to put thermometers in better places.
Run your eyes down this page to see how the GISS temperatures pan out compared to all the other compilations. This is James Hansen’s group, and GISS stands for the Goddard Institute of Space Studies — and in the topsy-turvey world of climate change, that’s apt — the space centre and hot bed of rocketry calculates world temperatures by ignoring … satellites. For GISS, measuring the world temperature, calls for irregularly spaced, unique, non-standardized temperature stations (sometimes near air-conditioning vents and concrete). And no sir, not the satellites that scan the Earth 24 hours a day, over land and sea, and which are usually not too close to exhaust vents, or buildings, or (thank goodness) fermenting vats of sewage either.
So, indeed, the only sane answer to the cherry picking crowd who crow triumphantly about their outlying most favorite result, is that “No” 2010 was not hotter than 1998, not according to the satellites. And even if it had [...]
Who would have thought that if you knew the air pressure in Darwin and Tahiti in June, you could figure out that the start of 2011 might be a Stalingrad Winter up North and a cooler wetter summer down south (Not that people in Sydney feel all that cool right now). But the air pressure ratios are reported as the SOI (Southern Oscillation Index) and it’s the handiest thing if you like predicting global temperatures 7 months ahead. Look at that correlation.
Since June last year Bryan Leyland has been using the simple connection described by Carter, De Freitas, and McLean in 2009 to predict up and coming temperatures.
So far, for what it’s worth, he’s right on track.
Such is the power of the stored pool of cold that is the bottom three-quarters of the Pacific Ocean. And when you look at how vast the Southern Pacific ocean is, is it any wonder it has such an influence? All that heat capacity…
What do you say when the Big PR bell is rung? You know the litany: “2010 was the warmest since measuring began, and the previous decade was also the warmest decade on record.” (eg The AGE)
Sure, and the world has been warming for 300 years, long before the industrial revolution. The trend hasn’t changed as our emissions rose. No one knows exactly why it started rising back then, but it wasn’t CO2. Sure and 150 years of “records” is not long. It was warmer 1000 years ago, 2000 years ago, 5000 years ago and 130,000 years ago. In fact its been warmer for most of the last 10,000 years than it is today, and it’s been warmer for most of the last 500 million years. Only people who think CO2 matters keep repeating that it’s warmed from 1850 to now without pointing out the bigger perspective. Sure, and the records have been set with thermometers like this one (next to concrete and exhaust vents — see below). There probably weren’t too many car parks or air conditioners in 1880 either. Not to mention the non-random adjustments, and that mystery about how 75% of thermometers are ignored.
Nothing about the [...]
Back on August 6, 2010, when the UK BOM was predicting a warm winter, and every Met Agency in the West was already declaring that 2010 would be the hottest year ever, Bryan Leyland predicted (on a global scale) that before the end of the year, there would be significant cooling. As you can see from the chart, this is exactly what happened.
The UK Met Office has a gigantic supercomputer, 1,500 staff and a £170m-a-year budget, but a retired engineer in New Zealand armed only with Excel and access to the internet and with the McLean is et al 2009 paper, was able to get it right.
Parking the SOI index (the blue line) 7 months into the future suggests things may get cooler still as the temperature (red line) often follows the trend. (Click for a larger image.) Note, the SOI is shifted 7 months forwards in time, and the scale is inverted.
Before anyone scoffs that the El Nino’s are usually followed by cooling, and the SOI indicator is well known, ponder that the well fed agencies of man-made-climate-fame weren’t telling the public that a big-chill was on the way and they ought to stock up [...]
The public might not understand the science, but they do understand cheating
Dr. David Evans
6 October 2010
[A series of articles reviewing the western climate establishment and the media. The first and second discussed air temperatures, the third discussed ocean temperatures.]
Click to download a pdf file containing the whole series
They Don’t Tell You: The Current Global Warming Trend is Over 300 Years Old
A Scene on the Ice by Hendrick Avercamp, circa 1600
Satellite data only goes back to 1979, and global land-thermometer records only go back to 1850. Before that we have to resort to “proxies”, which are various natural phenomena from which temperature can be deduced. As we go further back in time, the errors and uncertainties increase.
For months now, behind the scenes, David and I have discussed just how powerful questions can be. Sometimes it’s not what you know, but what you ask that makes the most powerful point.
For his Heartland presentation last Friday, David delivered a themed compilation of example after example of the Western Climate Establishment allowing mistakes, errors or biases to accumulate — each factor on it’s own might be hard to pin down, but the sum total of actions (and inactions) forms a wholly consistent pattern.
This is Part I. These photos speak for themselves, but as far as I know, they haven’t been assembled in one web page before and David stopped waiting for me to get the time to annotate them and has helpfully used red arrows so even the less technically minded will “get” the implications.
You don’t need to have a PhD to know that the thermometers used to measure global warming are not placed well. There are at least Two Great Burning Questions here:
Burning Question 1:
NOAA is a $4 billion dollar agency. If they were determined to get the most accurate, reliable measurements possible would they leave so many sensors [...]
This is yet another example of things that don’t add up in the world of GISS temperatures in Australia. Previously, we’ve discussed Gladstone and Darwin.
Ken Stewart has been doing some homework, and you can see all the graphs on his blog. Essentially, the Bureau of Met in Australia provides data for Mt. Isa that shows a warming trend of about 0.5 degrees of warming over a century. GISS takes this, adjusts it carefully to “homogenize urban data with rural data”, and gets an answer of 1.1 degrees. (Ironically among other things, “homogenisation” is supposed to compensate for the Urban Heat Island Effect, which would artificially inflate the trend in urban centers.)
To give you an idea of scale, the nearest station is at Cloncurry, 106km east (where a flat trend of 0.05 or so appears in the graph). But, there are other trends that are warmer in other stations. Averaging the five nearest rural stations gives about 0.6 degrees; averaging the nearest ten stations gives between 0.6 and 0.88 degrees.
Mt Isa and surrounds with temperature trends
ADDENDUM BELOW (with answers from Christopher Monckton)
The December SPPI monthly report came out on Jan 23. As usual, it contains graphs of the latest juiciest data: sea levels, ice, sunspots, cyclones, global temperature trends and the latest papers. Here’s a few snippets that caught my eye.
Get ready for 1.4 degrees (or more… or less).
Global Temperature Trends 1981-2009
Call me a cherry picker, but going by the full satellite data record we have and drawing a simplistic straight line, we are rocketing towards 1.4 degrees of warming by 2100, (but only if that trend of the last 30 years doesn’t change, which it is, every year). For those who are new to this, there are two interpretations of the satellite data and this neatly combines both of them (UAH and RSS) and makes one wiggly line out of masses of data. Not surprisingly, the SPPI team have chosen to ignore the surface record of airports and air-conditioners, “ground based thermometers”.
Just when you thought it couldn’t get worse for the cult of the carbon scare.
Now we need to ask if the world has even warmed? I’ve always said, “global warming is real”, but the recent exposés of shocking corruption in science have made me start to wonder whether even that is true.
Today a study by Joe D’Aleo and Anthony Watts, was announced by the Science and Public Policy Institute (SPPI).
From their media release:
An extensive survey of the literature and data regarding ground and sea surface temperature records uncovers deception through data manipulation, reports the Science and Public Policy Institute (SPPI).
Authors veteran meteorologists Joe d’Aleo and Anthony Watts analyzed temperature records from all around the world for a major SPPI paper, Surface Temperature Records – Policy-driven Deception? The startling conclusion that we cannot tell whether there was any significant “global warming” at all in the 20th century is based on numerous astonishing examples of manipulation and exaggeration of the true level and rate of “global warming”.
That is to say, leading meteorological institutions in the USA and around the world have so systematically tampered with instrumental temperature data that it [...]
BREAKING NEWS: Manipulated Datasets at NASA and NCDC
Once again, the audacity and brazen manipulation of scientific evidence is shocking. These are very serious allegations.
Thermometers moved from cold mountains to warm beaches; from Siberian Arctic to more southerly locations, and from pristine rural locations to jet airport tarmacs.
There were around 6000 thermometers 20 or 30 years ago in the global data set, but in 1989-1990, the number of thermometers were reduced to around 1,500. A new study shows a dramatic pattern of artificial adjustments in the way these thermometers were included or deleted. Jonathon Coleman announced the study results tonight on his blog and also in his broadcast (see below).
Apparently officials systematically left out colder thermometer recordings and kept in hotter data, and where there were empty points on the map, they “filled them in” with calculations instead of measurements. The data was homogenized, and the adjustments always increased the warming. This is the telltale sign of chicanery. This is how we know there were artificial adjustments. Normal scientific corrections are random, not all tending in one direction.
E.Michael Smith notes “When doing a benchmark test of the program, I found patterns in the input data from [...]
Click for a larger (powerpoint size) image
The world has not warmed since 2001.
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