A science presenter, writer, speaker & former TV host; author of The Skeptic's Handbook (over 200,000 copies distributed & available in 15 languages).


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Pause-deniers finally get busted by mainstream media

It’s been a rotten week for Pause denial

David Rose and the Daily Mail let rip, telling the world that retired NOAA insider, John Bates, was blowing the whistle on how global warming was being exaggerated by scientists to score political points. The hallowed pause-buster paper (Karl et al) broke practically every rule: it was based on misleading “unverified” data processed with a highly experimental, unstable program.  There were bugs in the software, the results changed with every run, the data wasn’t archived, and no one could repeat it. They tripled the previous rate of warming by using old-bad-data to adjust better but still-not-very-good-data. They ignored the much better data from ARGO buoys and the satellites (see below) which showed they were wrong. (Rose didn’t even mention that the error bars on the magical adjustment were 17 times larger than the adjustment itself. Too many errors….)

It’s hard oo believe it could be worse, but then the one sole computer holding the program broke, and apparently (what bad luck) none of the eight authors had their own copy either. Nor did the reviewers. The Planet is going to hell, but no one thought to back up the data.

It all [...]

Exotic adventures in global data to unfind “the Pause”, by Karl in 2015

UPDATED: Ross McKitrick’s PDF file has some minor changes.

The Pause has been unfound, not with new data, but with new adjustments in one odd dataset.

The awkward “Pause” in global temperatures shows up in every major dataset. It’s the reality that conflicts with nearly every major climate model. But it’s there in the Hadley records of land surface and ocean, it shows up in the Hadley sea surface measurements, it’s there in NCDC, GISS, and of course in the satellite data of RSS, and UAH, and it shows up in the best data we have on the ocean, the ARGO buoys. It’s quite the challenge to unfind it!

(Thanks to Ross McKitrick for the individual graphs)


To find global warming in the last 15 years, we need to ignore all that and use sea surface data blended from boats randomly trekking through shipping lanes with buckets and from ocean buoys (and that’s not ARGO buoys). But even that isn’t enough, that original data needs to be adjusted, and where sea ice gets in the way, gap-filled from sparse land data (as you would right?). Then we need to accept a lower-than-usual significance test, and carefully cherry pick [...]

Maurice Newman knows more about climate models than the BOM’s Dr Rob Vertessy

In the topsy turvy world of modern science, big-government has strangled science to the point where bright outsiders know more than the fully trained “experts”.

Maurice Newman, the chairman of the P.M’s business advisory council, daringly wrote in The Australian:

“It’s a well-kept secret, but 95 per cent of the climate models we are told prove the link between human CO2 emissions and catastrophic global warming have been found, after nearly two decades of temperature stasis, to be in error.”

In Senate estimates, a Greens spokesperson asked Dr Rob Vertessy, Director of the Australian Bureau of Meteorology (BoM) on his view of this. “That is incorrect,” he said, showing how little he knows about climate models, where everyone (even the IPCC) is trying to figure out excuses for their failures. Some even invent time-travelling climate models that can finally “predict” today’s climate correctly a decade after it happened.

If Maurice Newman was wrong, he was far too generous to the climate modelers. Instead of a 95% failure rate, it’s well up over 98%. Hans von Storch et al published a paper nearly two years ago comparing models and observations of a 15 year long pause. Statistically von Storch [...]

Missing heat not in deep oceans but “found” in missing data in upper ocean instead

Two papers on ocean heat released together today. The first says the missing heat is not in the deep ocean abyss below 2000m. The second finds the missing heat in missing data in the Southern Hemisphere instead. Toss out one excuse, move to another.

The first paper by Llovel and Willis et al, looked at the total sea-level rise as measured by adjusted satellites*, then removed the part of that rise due to expanding warming oceans above 2,000 m and the part due to ice melting off glaciers and ice-sheets.** The upshot is that the bottom half of the ocean is apparently not warming — there was nothing much left for the deep oceans to do. This result comes from Argo buoy data which went into full operation in 2005. (Before Argo the uncertainties in ocean temperature measurements massively outweigh the expected temperature changes, so the “data” is pretty useless.)

Figure 2 | Global mean steric sea-level change contributions from different layers of the ocean. 0–2,000m (red), 0–700m (green), 700–2,000m (blue). The dashed black curve shows an estimate for the remainder of the ocean below 2,000m computed by removing the 0–2,000m estimate from the GRACE-corrected observed mean sea-level time series. [...]

UNSW climate scientists shift goal posts, publish irrelevant “extreme hot days” trend

The pause in global warming is so crippling, so crucial, that scientists will go to extremes to find any excuse to issue something that combines the magic terms “no pause” and “extreme temperatures”. This is the winning combination in climate bingo. But marvel how far these researchers have to stretch to get there.

Gaze upon  Seneviratne et al  (UNSW) declaring that there is no pause in the trend of “extreme hot temperature days”. Watch the pea (or rather peas).

Globally, on average, regions normally expect around 36.5 extremely hot days in a year. The observations showed that during the period from 1997-2012, regions that experienced 10, 30 or 50 extremely hot days above this average saw the greatest upward trends in extreme hot days over time and the area they impacted.

The consistently upward trend persisted right through the “hiatus” period from 1998-2012.

If the world was warming, they wouldn’t bother with this strained nonsense, would they? They are talking about 15 year trends in air over land, in summer, on the hottest 10% of days.

Seneviratne et al acknowledge the pause in global temperatures. Therefore the models, and the theory is wrong. Every other incidental trend in smaller markers [...]

Global Wind excuse — monkey-modeling shows global warming theory is Still Not Wrong.

The backdown continues. Faced with the ongoing failure of their models, the search rolls on for any factor that helps “explain” why the official climate scientists are still right even though they got it so wrong.  The new England et al paper endorses skeptics in so many ways.

The world might warm by only 2.1 degrees this century, not 4c. (Skeptics were right — the models exaggerate). There has been and is a pause in warming which the 95%-certain-models didn’t predict. (The science wasn’t settled.) What the trade-winds giveth, they can also taketh away. If they “cause cooling” after 2000, then they probably “caused warming” before that. How much less important is CO2? Ultimately, newer models are less wrong if they include changes in wind speed, but they don’t know what drives the wind. It’s curve fitting with one more variable.

As usual, the models still can’t predict the climate, but they can be adjusted post hoc with new factors to trim their overestimates back to within the errors bars of some observations.

As I said nearly 2 years ago, Matthew England owes Nick Minchin an apology:

Nick Minchin: ” there is a major problem with the warmist argument [...]

IPCC spin translated – the leaked Synopsis admits 97% of models fail

Joint Post: Geoff Sherrington and JoNova

The IPCC Synthesis Report first order draft has been leaked (h/t Tallbloke) . It is part of the big Fifth Assessment report  see the parts already released here. The Synthesis Report supposedly summarizes the science. In the real world the topic du jour is the plateau, pause, or hiatus in warming which the IPCC can no longer ignore. Instead the masters of keyword phrases test new bounds in saying things that are technically correct, while not stating the bleeding obvious. Luckily we are here to help them. : -)

Translating IPCC-spin:

“The rate of warming of the observed global-mean surface temperature has been smaller over the past 15 years (1998-2012) than over the past 30 to 60 years (Figure SYR.1a; Box SYR.1) and is estimated to be around one-third to one-half of the trend over the period 1951–2012. Nevertheless, the decade of the 2000s has been the warmest in the instrumental record (Figure SYR.1a).”

Translated: Yes temperatures are not rising faster as we predicted, even though more CO2 was pumped out faster than ever. Let’s ignore that this shows the models were wrong, the important thing is to [...]

Climate Models cannot explain why global warming has slowed

Finally climate scientists are starting to ask how the models need to change in order to fit the data. Hans von Storch, Eduardo Zorita and authors in Germany pointedly acknowledge that even at the 2% confidence level the model predictions don’t match reality. The fact is, the model simulations predicted it would get warmer than it has from 1998-2012. Now some climate scientists admit that there is less than a 2% chance that the models are compatible with the 15-year warming pause, according to the assumptions in the models.

In a brief paper they go on to suggest three ways the models could be failing, but draw no conclusions. For the first time I can recall, the possibility that the data might be wrong is not even mentioned. It has been the excuse du jour for years.

Note in the chart that while the 10 year “pause” passed the basic 5% test of statistical significance, by 13 years, the pause was so long that only 2% of CMIP5 or CMIP3 models simulations could be said to agree with reality. By 16 years that will be 1% of simulations. If the pause continues for 20 years, there would be “zero” [...]

Even with the best models, warmest decades, most CO2: Models are proven failures

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 [...]

The IPCC was not right. Frame & Stone ignore main IPCC predictions

Professor David Frame and Dr Daithi Stone have produced a paper claiming the IPCC predictions in 1990 were successful and seem accurate.

Those who read the actual FAR report and check the predictions against the data know that this is not so.

They ignore the main IPCC predictions (the prominent ones, with graphs, in the Summary for Policymakers) They don’t measure the IPCC success against an IPCC graph or within IPCC defined “uncertainties”. They measure success against  a “zero trend” — something they defined as any rise at all beyond what they say are the limits of natural variability (which they got from the very models that aren’t working too well). Circular reasoning anyone? Frame and Stone themselves say the IPCC models didn’t include important forcings, and may have been “right” by accident.

Why did Nature publish this strawman letter? It’s an award-winning effort in selective focus, logical fallacies, and circular reasoning to be sure, but does it advance our understanding of the natural world? Not so.

Frame and Stone have produced a Letter to Nature saying that 3 is a lot like 6 (they are both larger than zero). If you ignore the Summary for Policymakers, pick a line [...]