There was a startling demonstration last week of how quickly messages of climate change denial can spread from the United States to the United Kingdom.
The initial trigger was the publication of a paper by Roy Spencer and Danny Braswell of the University of Alabama in Huntsville in the journal 'Remote Sensing', called 'On the Misdiagnosis of Surface Temperature Feedbacks from Variations in Earth's Radiant Energy Balance'.
The paper explores an apparent discrepancy between NASA satellite measurements of the amount of radiation escaping the atmosphere and the results of computer models of climate. The authors conclude that the mismatch is due to inaccurate estimates of the "feedbacks" in the climate system which largely control how much global temperature changes in response to the "forcing" exerted by the rise in greenhouse gas concentrations in the atmosphere.
However, mainstream climate scientists have poured scorn on the paper because of its assumptions about how clouds affect temperature. In an e-mail to me, Professor Andrew Dessler of Texas A&M University, the author of a key paper on the influence of clouds on climate which appeared in the journal 'Science' last year, explained the main problem with the approach adopted by Spencer and Braswell.
To understand this paper, you have to understand the difference between a 'forcing' and a 'feedback'. Forcings are imposed changes to the climate, while feedbacks are processes that respond to changes in the climate and amplify or ameliorate them. So the addition of carbon dioxide to the atmosphere by humans is a forcing - it is simply an imposition on the climate. Water vapour, on the other hand, is a feedback because the amount of water vapour is set by the surface temperature of the planet. As the planet warms, you get more water vapour in the atmosphere, and since water vapour is itself a greenhouse gas, this leads to additional warming.The canonical way to think about clouds is that they are a feedback - as the climate warms, clouds will change in response and either amplify (positive cloud feedback) or ameliorate (negative cloud feedback) the initial change.
What this new paper is arguing is that clouds are forcing the climate, rather than the more traditional way of thinking of them as a feedback. This is not, in fact, a new argument. Spencer's 2010 JGR paper as well as the new Lindzen and Choi 2011 paper both make this argument.
Overall, the argument made in all of these papers to support the conjecture that clouds are forcing the climate (rather than a feedback) is extremely weak. What they do is show some data, then they show a very simple model with some free parameters that they tweak until they fit the data. They then conclude that their model is right. However, if the underlying model is wrong, then the agreement between the model and data proves nothing.
I am working on a paper that will show that, if you look carefully at the magnitudes of the individual terms of their model, the model is obviously wrong. In fact, if Spencer were right, then clouds would be a major cause of El Niño cycles - which we know is not correct. Talk to any ENSO [El Niño Southern Oscillation] expert and tell them that clouds cause ENSO and they'll laugh at you.
Finally, the best way to put Roy's paper into context it is to recognise how Roy views his job: "I would wager that my job has helped save our economy from the economic ravages of out-of-control environmental extremism. I view my job a little like a legislator, supported by the taxpayer, to protect the interests of the taxpayer and to minimize the role of government." (he wrote that on his blog). Thus, his paper is not really intended for other scientists, since they do not take him seriously anymore (he's been wrong too many times). Rather, he's writing his papers for Fox News, the editorial board of the Wall St. Journal, Congressional staffers, and the blogs. These are his audience and the people for whom this research is actually useful - in stopping policies to reduce GHG emissions - which is what Roy wants.
Over at the realclimate.org blog, Kevin Trenberth and John Fasullo were even more scathing, complaining that "the basic material in the paper has very basic shortcomings", and suggesting that it would never have been published if it had been subject to a more rigorous review.
Despite these damning critiques, the paper has received a great deal of publicity from self-proclaimed 'sceptics' and some parts of the media, most of whom have exaggerated its significance.
The University of Alabama in Huntsville issued a press release on 26 July which was largely an accurate reflection of the paper, except for the headline "Climate models get energy balance wrong, make too hot forecasts of global warming".
The contents of the release were turned into hyperbole on a blog posted on 27 July on the website hosted by Forbes magazine, claiming "New NASA Data Blow Gaping Hole In Global Warming Alarmism". This was written by James Taylor, a senior fellow at free-market-fundamentalist group The Heartland Institute, which organised a festival of climate change denial in Washington DC last month.
Taylor's contribution was picked up a day later by the 'sceptic' website 'Watts Up With That', and within 24 hours Fox News had covered the paper on its website under the headline: "Does NASA Data Show Global Warming Lost in Space?".
On 29 July, the story also crossed the Atlantic, and by the early hours of the following day the 'Daily Mail' had published its online report with the headline "Climate change far less serious than 'alarmists' predict says NASA scientist". And by the afternoon of 30 July, this story was being disseminated to the supporters of Nigel Lawson's 'sceptic' lobby group, the Global Warming Policy Foundation.
This is a clear demonstration of how the rapid communication of information between self-proclaimed 'sceptics' through the blogosphere and mainstream media can act like an echo chamber which amplifies and distorts with each repetition.
Bob Ward is policy and communications director at the Grantham Research Institute on Climate Change and the Environment at London School of Economics and Political Science.
Follow Bob Ward on Twitter: www.twitter.com/ret_ward
Pour away! The way that your same scornful "main stream" climate scientists think clouds affect temperature are nothing but assumptions too. Whose assumptions are more worthy?
"Kevin and I will keep them out somehow – even if we have to redefine what the peer-review literature is!” – Phil Jones 8/7/2004
Sceptical Science offers measured, evidence-based refutations of denialist talking points.
http://www.skepticalscience.com/
DeSmogBlog tracks the spin machine and provides a database of those involved in hoodwinking the public on the greatest threat facing our species.
http://www.desmogblog.com/
Alas, human-induced, rapid climate change is a settled fact. Anyone who tells you different is either protecting vested interests or rooted in an ideology of denial. But hey, who wouldn't prefer to believe a lie than accept a truth than hurts?
Of course, the reality is that you never underestimate the ability of any individual, however well qualified, noted and respected, to lie their bums off!
Back to the science for a moment - I am in no way a climate scientist, but I do wonder if clouds, perhaps, could be seen as indirect forcing. In other words, if they can have an effect but are produced as a side product of human influence rather than direct influence, can they still be seen as part of the "forcing" scenario, albeit weakly and indirectly?
Sorry, probably asking complete nonsense!
step into the rendition of its creator. Inside, everything is obvious and evident in terms of self substantiating proof.
One might think, that if only the irrefutable evidence required to convince each protagonist in a disagreement could be presented to a detractor, that opponent would be instantly overwhelmed. But wait, wouldn’t that leave each enmeshed in the other’s alternative rendition? Humm… Then maybe we need a third way. Logic suggests that both cannot be right. What if, just for arguments sake, we explore the premise that both might be wrong? Neither might find cause to argue with a reality in which the resources concerned were finite. Therefore, at some point replacements for same must be provided or we are finished. Is it not a wise move then, to invest all of our efforts in achieving that right now? Instead of infighting amongst ourselves, and while we still have some reserves left to assist us.
"This is a clear demonstration of how"
we would rather win an argument, than continuity for all of our kind.
On the cloud factor forcing the climate change - about as important to me as which comes first - the chicken or the egg? What matters is the result.!
Had recourse just recently to comment that, just as in today´s news on SE States there is extreme weather - my bleat being that this climate change is and will continue to be characterised by many EXTREMES of different kinds compared to the past !
I am not a "scientist" merely an engineer, but it seems to me that if you have a source of energy (the Sun) giving x amount to the destination (the Earth) then if you measure the energy leaving the Earth and subtract that from the amount going to the Earth (the math could be a bit difficult for the climate alarmists) then you must have the amount retained by the Earth.
The bogus high temperatures in Texas ( http://i55.tinypic.com/5zqvcw.jpg ) in recent decades were similarly achieved by fraudulent increases in later years, which have the effect of nudging the genuine highs in the 1920s-1930s into second place (see the war over Boerne's records at the end of this comment, in which the data was faked to make the 2000s appear warmer than the 1920s).
Remember that in the long term temperatures go down as well as up, such as in South Africa ( http://data.giss.nasa.gov/cgi-bin/gistemp/gistemp_station.py?id=141688160000&data_set=1&num_neighbors=1 )or in the Arctic ( http://data.giss.nasa.gov/cgi-bin/gistemp/gistemp_station.py?id=431043600003&data_set=0&num_neighbors=1 ) .
Boerne Actual temperatures: http://data.giss.nasa.gov/cgi-bin/gistemp/gistemp_station.py?id=425722530080&data_set=0&num_neighbors=1
Boerne Fake temperatures: http://data.giss.nasa.gov/cgi-bin/gistemp/gistemp_station.py?id=425722530080&data_set=2&num_neighbors=1
Boerne amount of fraud: http://i54.tinypic.com/vqjdsm.png
really I am referring previously to VERY extreme occurrences - violently greater tornados,
many dangerous hurricanes and typhoons, extreme hot conditions - & cold ones in Winter in both USA and Spain, fouler Winters in the UK and North. Such extremes are always open to reporting around the press networks which have existed for decades.
You leave out well known additions to the Earth Balance which drive up the extra thermal influence on the atmosphere! The ozone layer - and possibly future "El Nino" variations will be a continuing problem, I am sure.
There seems to be a fundamental issue with how the media handles science/the scientific method. For some reason, the Beeb, etc. seem unable to put forward facts, rather than just opinions of outsiders. With a person centric view of 'balance', this is bound to lead to conflicts.
When I skimmed the paper under consideration (Spencer & Braswell), at first glance it looks like a reasonable piece of work, which considers the modelling approaches used in estimating climate change and how reliable the base data represent what the modellers think they represent. It ignores the mechanistic aspects of the modelling, merely taking a statistical approach to relationships.
Why can we not just have a discussion of the models/data, rather than bringing in personalities? Most of the noise that I hear around the debates for / against anthropogenic CC seem to revolve around the use of language and don't bother to define the terms, the models and the data and then discuss how it all fits together.
I've not even been able to get a meaningful description of what 'mean temperature' means, over and above a paper from the 1840's the describes approaches to calculating mean temperatures that are known to produce invalid results, which seem to be the basis of some of NASA's GIStemp numbers. Neither can I find why the mean is the significant measure.