No comments on the BC carbon tax? A real world example of significant scale isn’t worthy of commentary? I guess we prefer unsubstantiated comments like the following:
deboline said:
But politicians know that climate researchers have given them charts and statistics they can use to legislate stealing from my family to enrich carbon credit traders
ornerynorsk said:
…ALWAYS involve the further fleecing of taxpayers and/or the further reduction of personal liberties…Fascism dressed in any other coat is still fascism
(I could include a litany of other quotes from post before mine but I’ll give them the excuse of ignorance)
In the light of real world examples, that speak to the contrary, this is frustrating. It speaks to irrational fears and the refusal to even acknowledge evidence when presented. There’s plenty of issues to discuss in the debate but the absurdity of relating carbon taxation to fascism is beyond comprehension. The even crazier part is that orenerynorsk made a joke about Godwin’s Law then brings fascism into the mix (maybe you’re trolling your own thread…).
But onto more debatable points…
GregLocock – After a nice nod to my post (appreciated), you start off with categorically rejecting my references (well, climate science in general) because of the models discrepancy with observed temperatures. Then you refer to
Kosaka & Xie 2013 (which I appreciate) that demonstrates a possible source of error and demonstrates that when that error is addressed, the results match the observed data extremely well. See the
Tamino article again. Yet this works against your (and others) dismissal of climate science because it’s an example of (successful) efforts to improve the accuracy by accounting for sources of error. Specifically, it illustrates the reason why models over the last 15 years (your period in question) have been overestimated temperatures.
Furthermore, it’s an example of how the “pause” could be due to a temporary, natural effect (namely La Nina). Again, ENSO cannot be used as a physical mechanism behind climate change because it is a temporary effect that, as historically evidence shows, has no long-term trend. It is the storage (during La Nina’s) and release (during El Nino’s) of energy in the oceans. It doesn’t influence the energy imbalance and any feedback effect of ENSO (cloud coverage for example) would oscillate between the EL Nino’s and La Nina’s; therefore, it doesn’t affect long term climate.
See papers/articles on the effect of ENSO:
Here
Here
Here
http://tamino.wordpress.com/2009/07/24/old-news/]Here[/url]
Here
Here
[link ftp://kakapo.ucsd.edu/pub/sio_220/e03%20-%20Global%20warming/Levitus_et_al.GRL12.pdf]Here[/url]
I’ve also already linked 11 articles relating to the “pause”, plus a few new ones in this post. If you want to keep bringing it up then you best start by addressing my counter-points (papers and articles).
Now, back to models. A good break down of the history of climate models can be
found here or a good FAQ on climate models
here (part 1) and
here (part 2) (also, Cajun’s link is a good read as well). I want to start by saying that models are not perfect and there are improvements to be made. Feedbacks, sensitivity and forcings are in constant research. As new information comes in, they are added to the models. This is not an admission of climate science being wrong, it is being scientific. This is a double standard that is frustrating when reading through skeptic blogs. IPCC is adjusting forcing values (to show marginally less anthropogenic effect or marginally increased natural effect)= GLOBAL WARMING THEORY IS DEAD. IPCC is not adjusting other aspects = CONSPIRACY THEORY. Models show warming = MODELS/DATA ARE JUNK. Models show steady temperatures = GLOBAL WARMING THEORY IS DEAD. Hurricanes in New York = YOU CONFUSE CLIMATE AND WEATHER (I’d agree in part). La Nina’s causing slowing of global temperatures = GLOBAL WARMING THEORY IS DEAD.
Beyond anything else, my point in these posts is to demonstrate that climate science is a robust and developing field of study. It’s the reason why I’ve included link after link, paper after paper, to show this is not some scam by the UN. I want to expose you to the good science that is being done that can otherwise be carefully avoided by sticking to news outlets/blogs that just support your viewpoint.
Now let’s begin clearing some confusion when it comes to predicting volcanoes (and, possibly more importantly, ENSO for that matter).
- Models and climate scientists CANNOT PREDICT VOLCANOES AND ENSO EVENTS.
- Instead they try and use historical data to estimate the effect of both and put an average effect into the models
- Therefore, if tomorrow we had a massive volcano eruption, don’t expect models to accurately predict next year’s temperatures.
- However, as the effect of a volcano is temporary, temperatures soon recover back to normal trends (unless it’s a catastrophic eruption that flips the climate trends)
- The same applies for ENSO. Models can’t (and don’t try to) predict a double-dip La Nina or any SPECIFIC ENSO event.
- Strong single events or long streaks of just El Nino’s or just La Nina’s will affect the accuracy of models (note: the pause started during a very strong El Nino and has carried through two consecutive La Nina’s)
- Again, this is fine because they don’t affect long term trends and will average to the normal trends over long periods.
Volcanoes temporarily effect the energy balance. ENSO temporarily effects the distribution of energy around the planet. Neither has long-term effects on the energy balance which is what drives a long-term change in climate. I also really like this from the Real Climate article found below:
“And a reminder: The warming trend of the 15-year period up to 2006 was almost twice as fast as expected (0.3°C per decade, see Fig. 4 here), and (rightly) nobody cared. We published a paper in Science in 2007 where we noted this large trend, and as the first explanation for it we named “intrinsic variability within the climate system”. Which it turned out to be.”
Temporary effects cut both ways. Clear?
No? Well, see more articles/papers below:
IPCC Models comparing natural and anthropogenic effects against observations (from the 3rd assessment report, so a little outdated but still relevant and a good illustration)
http://tamino.wordpress.com/2010/01/13/models-2/]An analysis of the IPCC 4th Assessment[/url]
RC article on ocean heating (and some discussion on ENSO effects)
RC article on scientific error (yup, a “pro” AGW blog talking about error…how very…scientific of them)
McIntyre – desmog (because McIntyre was brought up as a case-closed argument against temperature data/models/climate science in general)
BEST data – relates to Eschenbach and McIntyre
(Yes this is a SkS article. I’m done pandering to upfront rejections. If you don’t like it, let me know what’s wrong with it. See my last point in this post.)
BEST data – Watts before and after
More McIntyre commentary re: hockey stick
Montford and McIntyre re: hockey stick, temperature records
Dessler 2011 paper (cloud cover) in response to climate sensitivity
Dessler 2011 video (cloud cover)
Surface Temperature Measurement article at SkS
Information relating to changes made to GISS
http://tamino.wordpress.com/2006/11/08/tales-from-the-thermometer/]History of surface temperature measurements from Tamino[/url]
It’s this categorical rejecting of all things climate science (well except when it’s about cooling temperatures or arctic sea ice “recovery”) that I find incredibly unscientific. This is made even worse by hypocritical acquisitions of “true believers” being blind to the “real” data. Yes, there are both on either side that outright reject data/information that doesn’t support their view. There is however middle ground where debates can be had. Start off by addressing why the references I provided are false or misleading. Use other references to back up your statements.
A quick comment about references, specifically blogs. A lot on my side scoff at WUWT articles, while the other side does the same with SkS articles. I read both (and a few others on either side). In both cases, you have to look past some rhetoric and name calling (I really think WUWT is especially bad for the latter). Both can make some good points and both can have some weak arguments. Reviewing both sides gives you a balanced approach to reviewing and interpreting the data. However, I suggest doing two things when reviewing blog posts:
(1) Critique the reliability of the information. Are papers referenced and linked? Is the source of data referenced and linked? Are the methods used in the calculations available? What sort of scales and sample periods are selected of the analysis? Does this match up with the papers linked or is it a small section of the data? If the latter, why?
(2) Look through the comments (yes, sometimes they are a cesspool of dogma and childish banter…read the comments of a Monkton article on WUWT for a great example of this). A lot of times, good arguments about the article with appear in the comments. The communities have some very educated people that will detail counter-points to the article and others will provide a rebuttal to those. You can, sometimes, learn a lot more about the articles strengths and weaknesses by reviewing the comments.