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Showing posts with label ArsTechnica. Show all posts
Showing posts with label ArsTechnica. Show all posts

Sunday, February 14, 2016

Global sea surface temperature and model projections, with Bob Tisdale

Sou | 2:34 AM Go to the first of 4 comments. Add a comment
A couple of days ago at WUWT Bob Tisdale posted a whole heap of charts of sea surface temperature and compared them to CMIP5 models (archived here). He was doing his usual thing of complaining the climate models don't model weather. He wrote:
The climate models used by the Intergovernmental Panel on Climate Change (IPCC) are not simulating climate as it exists on Earth. 
What he was really complaining about was that:
The multi-model mean of climate models used by the Intergovernmental Panel on Climate Change (IPCC) are not simulating climate as it exists on Earth. year to year variations in the weather as recorded by the older version of Reynold's OI v2 data, when looking at some sections of the ocean
Well, they aren't meant to do that. Climate models are for, you guessed it, climate not weather. The CMIP5 models are used for climate projections as well as learning more about particular aspects of climate. They are pretty good when it comes to global projections. Not as good (but not that bad) when looking at large areas like entire oceans. They are not intended to be used for weather forecasts. (Bob wants them to time ENSO events at the same time as they happen. That won't happen. There are other models specially developed for localised projections looking ahead a few months.)

There were some charts that were noticeable by their absence, so I figured I'd fill in the gaps in his article.

Sunday, May 4, 2014

Climate models are skilful - Gavin Schmidt and TED give us 10 lessons in denialism at WUWT

Sou | 3:00 PM Go to the first of 31 comments. Add a comment

To show how even-handed he is, Anthony Watts posted a TED video of Gavin Schmidt talking about climate models (archived here).  Anthony wrote:
Love him or hate him, it is worthwhile to understand where he is coming from, so I present this video: The emergent patterns of climate change.

The "love him or hate him" is the language of deniers. They aren't interested so much in what Dr Schmidt has to say, they prefer to get personal.  It's a "must have" for the Serengeti Strategy.

Anthony adds quite unnecessarily: "comments welcome".

It's worth watching the video full screen (click in the bottom right) and reading the transcript:




It's short. In just over 12 minutes Gavin Schmidt shows how scientists write code to emulate what happens with clouds, solar radiation, ice, natural and human-made aerosols, soil and vegetation, and other things that together shape our climate.

For a more detailed discussion of climate models, you can't do much better than this article by Scott K. Johnson at Ars Technica.

I went through the WUWT comments till I got up to ten lessons. There is more to learn, but ten is enough to get you going as an accredited science denier.  Here they are, with examples in the WUWT comments below.
  • Lesson 1: accept one part of science and follow it up with a silly statement. Deniers are good at "silly". The silly statement proves to the crowd that you really are a science denier.
  • Lesson 2: Make a grossly inaccurate statement and don't even pretend to back it up with any data, not even false data.
  • Lesson 3: Make out that physics, chemistry and biology can only explain the past and aren't any use as a predictive tool. (Such people would, I expect, never step into an aeroplane and would quite happily and optimistically step out of a window on the 50th storey.)
  • Lesson 4: If you haven't anything intelligent to add to the discussion, go for vulgarity.
  • Lesson 5: If you don't like the data, claim a conspiracy.
  • Lesson 6: If you can't refute the science, make out that the scientists stole their ideas from deniers.
  • Lesson 7: If you can't refute the science and can't stomach facts, don't look. Avoid it altogether where possible. When that fails, try to ignore it.
  • Lesson 8: Pretend that science is based on "faith" rather than evidence and reasoning. 
  • Lesson 9: Trade on your reputation as a fake sceptic and dazzle with meaningless gobbledegook.
  • Lesson 10: Harass any organisation that promotes sound science by sending spam. 



From the WUWT comments


The first out of the gate is a denier and the rest follow.  The WUWT deniers give a very good lesson in "how to be a science denier".

Latitude says:
May 3, 2014 at 12:08 pm
” We know what happened over the 20th century. Right? We know that it’s gotten warmer. We know where it’s gotten warmer. And if you ask the models why did that happen, and you say, okay, well, yes, basically it’s because of the carbon dioxide we put into the atmosphere. We have a very good match up until the present day. ”
and if you tell the models ahead of time that’s what happened….
Those computer games can not tell you something you don’t know.

That's an odd thing for Latitude to write. Latitude is a regular science denying commenter at WUWT. What he or she is saying now is that it's well-accepted that adding CO2 to the atmosphere will cause global warming.

The last sentence is very wrong. If you watch the video you'll get a glimpse of all the extra knowledge that comes from the models. It's not just that CO2 warms earth, it's how dust gets spread around the globe and how that affects weather; and how quickly the CO2 warming happens; and what changes does a hole in the ozone layer cause; and lots more as well. Such changes would be almost impossible to work out without a complex climate model.

Lesson 1: accept one part of science and follow it up with a silly statement. Deniers are good at "silly". The silly statement proves to the crowd that you really are a science denier.


Gerry Parker says:
May 3, 2014 at 12:12 pm
And despite these claims of model skill, they consistently over predict warming.

The lesson that Gerry and quite a few others at WUWT provide is to make a completely wrong statement. Best not to provide any evidence or examples or it becomes too obvious that what you're saying is wrong. For example, if Gerry had put up a chart of CMIP5 and CMIP3 against observations he would see that firstly, observations have been within the model envelop right the way through since 1860, and secondly that the mean of the models has only been above the observations very few occasions. Similarly it's only been below the observations on very few occasions:

Figure TS.9 (a) Source: IPCC AR5 WG1
Lesson 2: Make a grossly inaccurate statement and don't even pretend to back it up with any data, not even false data.

Louis says:
May 3, 2014 at 12:23 pm
“The models are skillful.”
That phrase was repeated several times, so it must be the take-away message. But it is one thing to tune the models to forecast the past and quite another to accurately forecast the future.
Louis gives us another lesson in denial. This one is commonly used by "ice age cometh-ers". The trick is to argue that just because science explains past events doesn't mean that science can explain future events.  This is the equivalent of arguing that if you jump off a 30 storey building with no aids, you might fly. Roy Spencer is good at this sort of thing, when he talks about rear-view mirrors.

Lesson 3: Make out that physics, chemistry and biology can only explain the past and aren't any use as a predictive tool. (Such people would, I expect, never step into an aeroplanenever step into an aeroplane and would quite happily and optimistically step out of a window on the 50th storey.)


JEM says, apparently in response to Gavin saying that "a model result is skillful if it gives better predictions than a simpler alternative":
May 3, 2014 at 12:27 pm
Dear Gavin, unless you are carrying the error range of every number you feed into your model all the way through every calculation and out into the result, what’s coming out is not skillful, it’s fecal.

Lesson 4: If you haven't anything intelligent to add to the discussion, go for vulgarity.


Layne says:
May 3, 2014 at 12:31 pm
Let’s not forget that inconvenient warming of the 30s-40s has been disappeared so that the models can align with temps.

Layne learnt from Lesson 2 (making a grossly inaccurate statement), but she or he adds a twist and tosses in a conspiracy theory. That hundreds of people all around the world have conspired over decades to alter the temperature data recorded by volunteers and official weather offices.  Layne is arguing there has been a massive world-wide "fiddling" of data maintained independently by multiple organisations, which would have required not just a massive cover up but incredibly sophisticated coordination worldwide.  Shame that no-one has so far been able to uncover this conspiracy.

Lesson 5: If you don't like the data, claim a conspiracy.


Gary Pearse says (excerpt):
May 3, 2014 at 1:01 pm
“Emergent” hmm where have I heard this before. Oh yeah, Willis’s ‘emergent phenomena’ that serve as a governor on climate overheating. I and others have stated before that something as good as Willis’s emergent phenomena and other climate findings won’t be out there long before they begin to be stolen. They are just too good. Okay, Gav has only used the word emergent, half of the idea but that’s a start.
Gary is referring to Willis' convoluted thunderstorm hypothesis. It's a cocktail of the Gaia hypothesis and Richard Lindzen's failed Iris hypothesis, mixed up in a folksy manner with some some big dollops of fake data (eg Willis maintains that surface temperature varied by +/- 0.3 degrees over the last 100 years) and the tiniest smidgen of real science for good measure. Willis argues variously that we might be heading for an ice age and all the science is wrong and Wondering Willis is right.

Lesson 6: If you can't refute the science, make out that the scientists stole their ideas from deniers.

stephen richards says:
May 3, 2014 at 1:20 pm
Watching that piece of merde makes me sick. I cannot bring myself to do it.

Lesson 7: If you can't refute the science and can't stomach facts, don't look. Try to ignore it.


JFA in Montreal says:
May 3, 2014 at 1:55 pm
Priest of all persuasion of religion held the same discourse: you can’t comprehend anything up until you get the big picture. The underlying message is “you’re just to imbecile to see the light”. Of course, they know the only light is the one shining on them, for power, fame and profit.

This person doesn't understand science so belittles it. In addition to Lesson 5 (claiming a conspiracy with nefarious intent - "power, fame and profit"), pretend that just because you don't understand it, no-one else could possibly understand it. It's used by people who claim that climate science is religion not science.

Lesson 8: Pretend that science is based on "faith" rather than evidence and reasoning.


Steve McIntyre says:
May 3, 2014 at 2:33 pm
Mosh, I do not share the kneejerk antagonism to “models” of many commenters, but the CA post to which you refer doesn’t exactly support your assertion: it indicates that GCMs with positive feedbacks have no “skill” in forecasting global temperature relative to a “naive” no-feedback log relationship of Callendar 1938. I think that it’s entirely reasonable to criticize models on that point. As you and I have discussed, it’s unfortunate that the modeling community have failed to fully map the parameter space and left low-to-no feedback largely as a terra incognita, a mapping failure that seems to originate from a kind of academic stubbornness in the modeling community – it’s hard to contemplate similar behavior from commercial organizations.

As well as being his usual waffle, if you manage to decipher it, Steve is indulging in wishful thinking. From what I gather, he's hoping that someone some day will discover an unknown "parameter" that will offset all the global warming that we see. It will mop up all the warming and climate change will go away all by itself.

Most WUWT readers won't try to figure out what he's saying. They'll just be quite delighted that a notable fake sceptic has lowered himself, as he does from time to time, and joined in the hoi polloi denialati at the low brow denier blog, WUWT.

Lesson 9: Trade on your reputation as a fake sceptic and dazzle with meaningless gobbledegook.

Now I haven't even got a third of the way down the comments. There are doubtless many more lessons in how to be a good little denier.


John Coleman says:
May 3, 2014 at 5:30 pm
I sent the following email:
tedx@ted.com
Hello,
I note you have presented talks by several proponents of Global Warming/Climate Change. However, you have not given an opportunity to present the other side of the issue to climate skeptics. There are several notable, peer reviewed climate experts who present the skeptical view. Among them are Richard Lindzen at MIT, Willie Soon at the Harvard Smithsonian Observatory, Judith Curry at Georgia Tech, Roy Spencer and John Christy at the University of Alabama and a long list of other Ph.D. experts. Please invite one or more of these experts to take the stage at a future conference. Balance of scientific opinion is important.
Regards,
John Coleman
I think if would be excellent if they heard from many of the rest of you.
If you are a fake sceptic, particularly one who is known as a journalist turned television weather announcer, send a dumb email and urge everyone else to do the same. Thankfully junk email isn't quite as damaging to the environment as snail mail.

Lesson 10: Harass any organisation that promotes sound science by sending spam.

Going against the tide of denialism


There were very few people who tried to buck the trend, some of them just a little bit. I mean when you're battling a tide of denialism of more than 120 comments, you're asking for trouble.  Some people buck the trend because they want to appear as "reasonable" fake sceptics. Others might be more genuine.


Jeff Alberts quoted HenryP and indicated that times, denialism goes a bit too far for his liking, and says:
May 3, 2014 at 7:07 pm
The climate is changing only because of natural reasons.
It is God who made it so.
Actually THERE’S the #1 stupid skeptic argument.

Stephen Philbrick says:
May 3, 2014 at 5:57 pm
I thought it was fairly good.
Some false notes, but overall, an effective presentation.
I liked the orders of magnitude paradigm, a very useful way to illustrate the difficulty of the problem
Surprisingly, he used only 14, with the size of the earth as the upper bounds – somewhat surprising as he clearly (despite some comments upthread) acknowledged the influence of the sun. The 4 down 14 to go was simply the artifact of a live presentation.
I see some chuckles about Fortran, and can only assume people are doing serious modeling.
In a recent role with my company, I worked with a moderately sophisticated financial model. It was written in Fortran, because we had to model interest rates, inflation, and the interactions as they affect bond prices and yields, not to mention stochastic insurance loss projections. Fortran was used because it is a suitable language to do very heavy duty number-crunching. It makes a nice sound-bite to treat it as antiquated, but only to those who don’t really do heavy duty modeling. (Which is not to say it is always the best option – I’ve modeled some processes in APL, some others in Excel,, the choice depends on how much number crunching is needed. One can have a highly sophisticated model that doesn’t require a lot of number crunching, but models of the financial world and models of the climate need to do a lot of brute force calculations)


JohnB says:
May 3, 2014 at 7:12 pm
I thought it extremely interesting and would happily sit through a longer lecture by Dr Schmidt.
I may not agree with his conclusions but the talk certainly allows you to see where he is coming from. Note that he admits the models are “wrong” and should, can and hopefully will be improved. However he thinks that they are good enough for a “reasonable” projection of the future and that future improvements in the models will refine the projection but not fundamentally change it.
If you had a model that you thought gave a reasonable projection and the results of that projection gave you cause for concern, wouldn’t you speak loudly too? Dr Schmidt models climate and the results have convinced him that there are grounds for concern.
He spoke fairly from his point of view and that is the best that anyone can do.

Saturday, April 5, 2014

Speaking of ethics and conspiracies ...

Sou | 10:12 AM Go to the first of 70 comments. Add a comment

Anthony Watts has a new "sticky" article about - guess what - yep, it's another protest against Professor Lewandowsky (archived here).  He's writing about the arguably unethical action by the journal that retracted the Recursive Fury paper.


Frontiers did not identify any issues with the ethical aspects of the study


I've written about that already.  The journal has this statement  on the page of the article, showing they found NO issue from an ethical perspective:
In the light of a small number of complaints received following publication of the original research article cited above, Frontiers carried out a detailed investigation of the academic, ethical, and legal aspects of the work. This investigation did not identify any issues with the academic and ethical aspects of the study. It did, however, determine that the legal context is insufficiently clear and therefore Frontiers wishes to retract the published article. The authors understand this decision, while they stand by their article and regret the limitations on academic freedom which can be caused by legal factors. 

Journal is squirming and making matters worse for themselves


Now the journal is trying to argue otherwise, writing:
As a result of its investigation, which was carried out in respect of academic, ethical and legal factors, Frontiers came to the conclusion that it could not continue to carry the paper, which does not sufficiently protect the rights of the studied subjects. 

The journal has made a real mess of this.  First they got the paper reviewed and it got the tick for publication. Then they published the paper. Then they got complaints from a "small number" of science deniers so they pulled the paper. Then they sat on it for a year or so and there was probably stuff going on behind the scenes.  Then they retracted it, while saying there was no reason other than an "insufficiently clear" legal context!

Now they are backtracking from the statement they made and is still on their website.  Now they are implying there are ethical issues! This latest statement comes across as an attempt to obfuscate after they got such bad press for caving into the conspiracy nutters who complained that their public statements showing their conspiracy ideation were studied to see how conspiracies evolve over time. That latest action by Frontiers seems to me to be a violation of ethics on their part!

I doubt this latest statement from them will help recover their now-sullied reputation.  As Peter Hannam wrote for the Sydney Morning Herald (my bold italics):
Kim Heitman, a lawyer for the UWA, said the university had done its own risk analysis before publishing the paper online. “There’s no reason to take it down,” Mr Heitman said
The university had also received complaints from some groups. “It’s quite relentless,” he said.
“There’s always a close interest in everything that Steve (Lewandowsky) does,” Mr Heitman said. “We are conscious that we are going to be targeted by people opposed to his works.”
The university, though, had also received plaudits from around the world for its decision to publish the paper.
"I couldn't list them," Mr Heitman said. "And I wouldn't list them, having regard to the fact that anyone who issues a 'thanks UWA' will probably get their own enquiry."

Thing is, most people had probably never heard of the journal Frontiers in Psychology before.  Now a lot more people have heard about it - and what they read is not exactly the sort of publicity a journal would be expected to seek.  The mess is their own making.  This is from Ars Technica:
When asked for comment, Lewandowsky forwarded Ars a letter he received from the staff of the Australian Psychological Society. In it, they note they are "concerned about the possible reasons behind Frontiers’ decision to retract the article, particularly given that their investigation has not identified any significant issues with the academic and ethical aspects of this study. It is concerning that some scientific journals feel sufficiently threatened by potential liability fears to not publish articles with ‘inconvenient information’ about climate change."


Update: As pointed out by Jammy Dodger, it's a bit unusual for such a statement to appear on a blog page (rather than on a press release page, for example. Especially as they have not revised the retraction statement.) However the blog article is from Costanza Zucca, Editorial Director and Fred Fenter, Executive Editor so looks as if it's meant to be a formal statement.

Sunday, September 15, 2013

Threats and promises - computer models, conflict and cheap solar

Sou | 3:34 PM Go to the first of 4 comments. Add a comment

Seems a bit of a waste for the content of HotWhopper to focus solely on what deniers want to highlight or scoff at.  Here are a few things that caught my attention in the past few days and weeks.


A Promise: Computer models


Scott K Johnson has written an article at ArsTechnica on computer models.  It's a behind-the-scenes look and I like the way it's written for a broader audience. A tiny taste with two excerpts (my bold italics):
Climate models are, at heart, giant bundles of equations—mathematical representations of everything we’ve learned about the climate system. Equations for the physics of absorbing energy from the Sun’s radiation. Equations for atmospheric and oceanic circulation. Equations for chemical cycles. Equations for the growth of vegetation. Some of these equations are simple physical laws, but some are empirical approximations of processes that occur at a scale too small to be simulated directly....
...Steve Easterbrook, a professor of computer science at the University of Toronto, has been studying climate models for several years. “I'd done a lot of research in the past studying the development of commercial and open source software systems, including four years with NASA studying the verification and validation processes used on their spacecraft flight control software,” he told Ars.
When Easterbrook started looking into the processes followed by climate modeling groups, he was surprised by what he found. “I expected to see a messy process, dominated by quick fixes and muddling through, as that's the typical practice in much small-scale scientific software. What I found instead was a community that takes very seriously the importance of rigorous testing, and which is already using most of the tools a modern software development company would use (version control, automated testing, bug tracking systems, a planned release cycle, etc.).”

Read the full article at ArsTechnica here.

If you get the taste for exploring computer models, go to Isaac Held's blog.  There was also an interesting technical discussion at William Connolley's place, Stoat, a few weeks ago.


A Threat: Climate change leads to conflict - a striking convergence of results


Seems logical, but is there any evidence?  There's a new paper in Science (paywalled) that explores the evidence through an analysis of 60 quantitative studies.  You can download the paper here. Here is the abstract:
A rapidly growing body of research examines whether human conflict can be affected by climatic changes. Drawing from archaeology, criminology, economics, geography, history, political science, and psychology, we assemble and analyze the 60 most rigorous quantitative studies and document, for the first time, a striking convergence of results. We find strong causal evidence linking climatic events to human conflict across a range of spatial and temporal scales and across all major regions of the world.
The magnitude of climate’s influence is substantial: for each one standard deviation (1σ) change in climate toward warmer temperatures or more extreme rainfall, median estimates indicate that the frequency of interpersonal violence rises 4% and the frequency of intergroup conflict rises 14%. Because locations throughout the inhabited world are expected to warm 2σ to 4σ by 2050, amplified rates of human conflict could represent a large and critical impact of anthropogenic climate change.
The last paragraph suggests that we learn more about the underlying causes so as to minimise conflict as global warming kicks in.  Will we?  In fifty years' time there will still be deniers expecting an ice age "any day now", arguing that "the world hasn't warmed since 2062".  At some stage the rest of us will decide to ignore them completely.
Numerous competing theories have been proposed to explain the linkages between the climate and human conflict, but none have been convincingly rejected, and all appear to be consistent with at least some existing results. It seems likely that climatic changes influence conflict through multiple pathways that may differ between contexts, and innovative research to identify these mechanisms is a top research priority. Achieving this research objective holds great promise, as the policies and institutions necessary for conflict resolution can be built only if we understand why conflicts arise. The success of such institutions will be increasingly important in the coming decades, as changes in climatic conditions amplify the risk of human conflicts.
Hsiang, Solomon M., Marshall Burke, and Edward Miguel. "Quantifying the influence of climate on human conflict." Science (2013): DOI: 10.1126/science.1235367.


A Promise: Advances in solar technology - making it cheaper and more efficient


And in Nature this week, there's a paper describing a new solar technology (paywalled).  According to Science News, this could lead to much cheaper solar cells "possibly for as little as $0.15 per watt, or one-quarter the price of thin-film silicon devices".

The work was described in Science News (excerpts):
A solar cell converts sunlight into electricity. A typical cell contains layers of materials known as semiconductors—most often silicon. When a particle of light, or photon, strikes an atom in one of these semiconductors, it knocks free a negative electron that can scoot through the material and leaves behind a positively charged "hole" that can also move about. The electrons and holes travel in opposite directions, through layers of semiconductors with different properties, to create a flow of current...
So far, improving the efficiency of solar technology has used very expensive semiconductors such as gallium arsenide.  Recently scientists have been experimenting with perovskites, which can be tuned to absorb sunlight.  Perovskites are "compounds such as calcium titanium oxide in which the atoms arrange themselves in a particular mix of cube and diamond shapes".  There have been some twists and turns - with promising results (my bold):
...Last year saw a breakthrough for perovskite cells, however, when physicist Henry Snaith at the University of Oxford in the United Kingdom and colleagues discovered that the devices actually worked better if they replaced the semiconducting bubbles with an insulating scaffold. The perovskite, as it turned out, was a pretty good semiconductor, and could shift electrons efficiently by itself.
Now, Snaith and colleagues have delivered another surprise: The bubblelike nanostructure is completely irrelevant. The Oxford team has demonstrated that perovskite cells are just as efficient if they are constructed in the same flat design, and using the same method—known as vapor deposition—as cheap thin-film silicon cells. “Having started with a complicated nanostructure, we’ve reduced it to a thin film,” Snaith says. “It’s amusing, I agree!”
What's more, the simple layered cell converts more than 15% of sunlight to electricity—equal to the record for perovskite cells, set just 2 months ago for a nanostructured device—as the researchers report today in Nature. Had physicists known perovskite was a good semiconductor, they probably would have started off with a regular, thin-film cell, Snaith says.
Perovskite cells now have a greater chance of hitting the mainstream market—possibly for as little as $0.15 per watt, or one-quarter the price of thin-film silicon devices, Snaith says.

Mingzhen Liu, Michael B. Johnston & Henry J. Snaith,  Efficient planar heterojunction perovskite solar cells by vapour deposition, Nature (2013) DOI: 10.1038/nature12509