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Fossils show those dang mammals lived in all the spots they weren’t supposed to live in. Climate models don’t predict the climate, and animal distribution models don’t predict (or in this case hindcast) animal distribution either. How little we know, and how adaptable is biology?
This calls into question all the headline prophecies about the extinction of cute furry critters due to climate change.
The modelers were sure that animals would be unable to cope with temperature changes and would not have lived in the same places as they do now during a climate so different. By crikey, it was an ice age! Yet those small mammals, whose defining biology is that regulate their own temperature, flummoxed the models by living nearer the glacier sheets where the models predicted they would not live.
All the alarming forecasts of local extinctions of mammals come from assumptions built into modern models that fail in multiple ways. The temperature changes from the last 20,000 years show that these mammals have already survived massive shifts, both colder and warmer, and that anything we face in the next century is but a flea on a hippo.
In the graph, the dots are the fossils, the […]
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 […]
This is part of a series that Tony Cox and I are doing that references the most important points and papers, as a definitive resource about the evidence. The missing hotspot is not just another flaw in the theory, it proves the models are wrong: not just “unverified”, not just “uncertain”, but failed. Apologies to those who feel I harp on about this! This is a condensed review, squishing years of a scientific battleground down to it’s bare bones… — Jo
It is not well known that even the IPCC agrees that the direct effects of CO2 will only increase world temperatures by 1.2°C. All of the projections above that (3.3°C , 6°C etc) come from model projections based on assumptions of what water vapor and clouds will do (these are the feedback effects of the original 1.2°C).[i] Are the feedbacks correct?
If the IPCC models are right about the feedbacks, we would see a hot spot 10km above the tropics. The theory is that with more heat, more water will evaporate and rise, keeping relative humidity constant at all heights in the troposphere. The point has been conclusively tested with 28 million weather balloons since 1959.[ii]
[…]
This is part of a series that Tony Cox and I are doing that drills down to the most important points and papers, with proper references, as a definitive resource.The models are wrong: not just “unverified”, not just “uncertain”, but proven to have failed. — Jo
Joint Post: Tony Cox and Jo Nova
Across different regions, and different time-spans over the last century, the models fail.
Koutsoyiannis and Anagnostopolous et al show those models can’t model the recent century, and because the models fail to predict regional and smaller scale effects it’s impossible that they could predict longer and global values.[i]
On 30 year time frames, the original observations are nothing like the models projections on a local scale. (Click to enlarge).
The models should retrospectively match the actual temperature over the past 100 years. This test of retrospectivity is called hindcasting. If a model has valid assumptions about the climatic effect of variables such as greenhouse gases, particularly CO2, then the model should be able to match past known data.
“…all the models were “irrelevant with reality” at the 30 year climate scale…”
When tested, the global climate models failed to […]
One of the main arguments from the IPCC is that essentially, we can’t explain temperature changes any other way than with carbon forcings. This is matched with impressive pink and blue graphs that pose as evidence that carbon is responsible for all the recent warming.
This is argumentum ad ignorantiam — essentially they say: we don’t know what else could have caused that warming, so it must be carbon. It’s a flawed assumption.
It’s easy to create impressive graphs, especially if you actively ignore other possible causes, like for example, changes in cloud cover and solar magnetic effects.
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9.8 out of 10 based on 8 ratings […]
Still in the theme of Shock!-The-Media-IS-Reporting-The-News: The Canberra Times announced on it’s front page that CSIRO is not so sure that droughts are due to increased carbon dioxide. Only a few months ago, they announced the exact opposite.
September 2009: A three-year collaboration between the Bureau of Meteorology and CSIRO has confirmed what many scientists long suspected: that the 13-year drought is not just a natural dry stretch but a shift related to climate change.
Jan 2010: One of the report’s co-authors, hydrologist David Post, told The Canberra Times there was ”no evidence” linking drought to climate change in eastern Australia, including the Murray-Darling Basin.
Back in September, this long study was based on the old trick of using climate models and “subtracting” the natural causes to see what’s left. It’s also known as “Argument from Ignorance”. Since we can’t predict the climate five years in advance, obviously there are factors or weightings in those climate models that aren’t right. Ruling out “what we know” doesn’t prove anything at all, except that there is a lot we don’t know.
When David Stockwell analysed climate models and Australian droughts, he found that random numbers were more likely to predict droughts successfully. […]
Thanks to Eric Raymond, famous computer guru and leader of the open-source movement, at ESR, we can see what those sophisticated climate modelers were doing. They’ve found the code from the leaked files, and Eric’s comment is:
This isn’t just a smoking gun, it’s a siege cannon with the barrel still hot.
Here’s the code. The programmer has written in helpful notes that us non-programmers can understand, like this one: “Apply a very artificial correction for decline”. You get the feeling this climate programmer didn’t like pushing the data around so blatantly. Note the technical comment: “fudge factor”.
6.6 out of 10 based on 8 ratings […]
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JoNova 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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