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All IPCC definitions taken from Climate Change 2007: The Physical Science Basis. Working Group I Contribution to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Annex I, Glossary, pp. 941-954. Cambridge University Press.

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Comments 113151 to 113200:

  1. What do you get when you put 100 climate scientists in a room?
    gallopingcamel, I think that you misunderstood my comment about nuclear power being viable for private transport. I wasn’t referring to electric cars, which do have a use, for example as you say for commuting. I see their drawback being their expensive batteries (life-cycle costing) and low energy capacity compared with petrol/diesel engines. Few of us even in the developed economies can afford to have one car for commuting or short distance journeys and another for long-distance. The millions of aspiring car owners in developing economies, e.g. in Asia, have their eyes on one low-cost vehicle suitable for carrying a large family long distances. Perhaps the hybrid is the answer. As for Barry Brook leading us anywhere – not for me thanks. Best regards, Pete Ridley.
  2. Peter Hogarth at 07:34 AM on 8 August 2010
    Confidence in climate forecasts
    Pete Ridley at 06:59 AM on 8 August, 2010 It is indeed interesting to re-read von Storch. JMurphy and Chris have already highlighted some pertinent quotes from this article elsewhere, but here's another which may give you pause for thought on your comments on climate modeling: “in popular debates sometimes the argument is voiced that since it is impossible to predict the weather of the next season it would be impossible to assess changes in a few years or even decades of years. All attempts to predict climate would therefore be doomed. However, these attempts are not doomed, –contemporary climate models are indeed capable of envisaging possible future climate”. Of course there are caveats, models give us possible scenarios, worst case/best case. Von Storch does not seem optimistic about our ability to achieve best case.
  3. Confidence in climate forecasts
    Pete Ridley at 06:59 AM on 8 August, 2010 Since the evidence for skill of climate models is an extant fact (see e.g. Doug's post above and the link to Julia Hargreaves article), one isn't impressed by poorly-informed assertion ("The climate models are structured from scientific hypotheses that are based upon dubious statistical manipulations, unsound...."). A useful approach to science involves a rational and honest consideration of the evidence. Your he said this...he said that construction to support your opinion isn't very interesting. You select one element from von Storch's article that you like but dismiss the fact that von Storch presents strong arguments for the nature of anthropogenic global warming, and expresses concerns about future consequences (he obviously doesn't consider anthropogenic global warming a "hypothesis"). We're left wonder at what point your apparent reliance on expert sources starts and finishes...in the end it seems like you make dainty selctions based on your opinion! evidence is always preferable to opinion Pete!
  4. Waste heat vs greenhouse warming
    KR 200 "You put 0.028 W/m^2 out via AHF. Perhaps it takes a while to get into the environment" A cars engine "warms up" around 90 C. With the car not moving, the air temperature around the radiator begins to approach this same temperature, and it gets there in no time. With the car moving, air cooling the engine does not get so hot, but instead there is more air affected. In either case, the point is the atmosphere takes up this energy instantaneously. Then problem after that is how long it takes to leave the environment. AGW is based on the idea that non GHG have almost zero emissivity. Divide CO2 emissivity by nearly zero and multiply by .028 and you get global warming for real. "Nah, not an issue" ????????????
  5. Confidence in climate forecasts
    By the way, that's a interesting continuum from expertise to dilettante you cite there, Peter. I thought you were keen to rely on experts but here we rattle to a conclusion based on purloined emails and something that turned out to be a fake, synthetic scandal? Hardly a strong scientific case for exaggerating uncertainty, all in all.
  6. Confidence in climate forecasts
    See this as an example, Peter, w/methods properly explained. There's a pretty large gulf between simple opinion polling and carefully constructed elicitation. I'd suggest if you see a trend in skepticism, you should be equally amenable to the notion that today's weather in Russia is confirmation of climate change. :-)
  7. 10 Indicators of a Human Fingerprint on Climate Change
    Well, so far clouds don't seem to be doing the job for us. I hope water vapor makes up its mind soon whether or not to condense and where, heh! Thinking on clouds seems to have converged on the notion that altitude counts for a lot, w/high altitude clouds being a net positive forcing agent versus low altitude clouds, and that longwave vs. shortwave cloud forcing works in opposition, w/net effects sometimes canceling and sometimes not. Optical depth is important. Here are a few papers on the topic: The Influence of the 1998 El Niño upon Cloud-Radiative Forcing over the Pacific Warm Pool Cloud Radiative Forcing of the Arctic Surface: The Influence of Cloud Properties, Surface Albedo, and Solar Zenith Angle Altitude dependence of surface radiation fluxes and cloud forcing in the alps: results from the alpine surface radiation budget network Sea Surface Temperature and Large-Scale Circulation Influences on Tropical Greenhouse Effect and Cloud Radiative Forcing Interestingly, altitude effects are sufficient that aircraft contrails become an matter for examination w/regard to minimizing their formation: The impact of cruise altitude on contrails and related radiative forcing
  8. Confidence in climate forecasts
    Argus, in my inexpert opinion the reason that the media prefers scare stories to reality is that it attracts more of the available audience, hence more funding for the most scary media release. I also opine that the politicians and others who promote the most scary projections of those models do so not out of concern for global climate change but for other vested interests but this is not the forum for such debate. You may be interested in taking a look at my “Global political Shenanigans” blog (http://globalpoliticalshenanigans.blogspot.com/). Doug, I’d be interested to know which “ .. scientifically conducted research into public opinion .. ” you are depending upon to support your view that Argus’s perceptions put him “ .. in a small minority of persons .. ”. The public opinion polls that I have seen recently show a clear trend toward scepticism among the general public about The Hypothesis. Best regards, Pete Ridley
  9. Confidence in climate forecasts
    Doug (Bostrom) hit the nail right on the head with his "that's my inexpert advice". Most of us here are offering our inexpert opinions and advice for free and there is a saying “Free advice is worth what you pay for it”. The climate models are structured from scientific hypotheses that are based upon dubious statistical manipulations, unsound assumptions and estimates used as a poor substitutes for a proper understanding about global climate processes and drivers. Rather than paying much attention to inexpert opinions I prefer to listen to the advice of those with some expertise in the subject, such as Professor Hans von Storch, of the University of Hamburg’s Meteorological Institute. Although he is a supporter of The (significant human-made global climate change) Hypothesis, he is honest about the scientific uncertainty upon which it is based. In his 2009 paper “On Adaptation – a secondary concern?” (Note 1) von Storch says such thing as:- “.. How fast can climate change when only natural causes are operating? This rate may be described by a probability distribution .. (which) .. must be estimated from the limited evidence provided by the observational data base of the past 150 years and by indirect “proxy data”. It is not possible to prove that the estimation is “right”; we can only show that it is consistent with the little knowledge we have. I personally believe that our estimates are approximately correct – but I have to admit that I may be wrong with that assessment”. “Commonly accepted knowledge is that no more than one third of the warming of the past hundred years can be explained by increased solar output; the remaining two thirds can be explained only by the effect of elevated greenhouse gas concentrations, i.e., the anthropogenic greenhouse effect. There is a caveat, .. the quality of estimating the magnitude of naturally caused variability is a key issue in this exercise. This magnitude is not known but must be estimated. Accepting its estimated value is a matter of trust. If somebody believes that the estimate is inadequate because of the limited data base, then I can not disprove this assertion. The same is true for my belief that the data base is good enough to allow a reasonable educated guess of this quantity – possible opponents are not able to prove that I am wrong. This controversy has nothing to do with incapable scientists but with the fact that the data available to us are limited. The problem can be solved only by either waiting for a long period of extra time .. or by accepting claims such as realism of contemporary climate models”. I shouldn’t need to explain the significance of those comments but for any who need a hint, look for words like “limited evidence”, “belief”, “may be wrong”, Contributors here may find his blog Die Klimazwiebel (Note 2) enlightening but it will only help those with an open mind. I wonder who will be the first one here to cast doubts about Professor Storch’s pedigree. Andrew Gelman, Professor of Statistics and Political Science and Director of the Applied Statistics Center at Columbia University, uses that “Free advice .. ” as the title of one of his threads. Following up on this led me to an associate of his, Seth Roberts, professor emeritus of psychology at UC Berkeley. In his article “Physicists Disagree about Climate Change” (Note 3) he quotes opposing opinions on The Hypothesis from two physicist friends. Gelman then goes on to say “At risk of sounding v smug, my views have changed only a little. I already thought the consensus was more fragile than it appeared. That’s just a general truth about modern science. I was already skeptical of climate models because I knew how easily modellers fool themselves. I began to believe the consensus was not just fragile but wrong when I heard the story of the Yamal tree ring data — the long refusal to supply the raw data and, when the researcher’s hand was forced and the data finally supplied, the way it contradicted the claims that had been made. Climategate didn’t vastly change what I thought; it provided more evidence for ideas I already had .. ”. I love that bit about modellers fooling themselves. – enjoy. NOTES: 1) see http://coast.gkss.de/staff/storch/pdf/BadHonnef_0805-adaptation.pdf 2) see http://klimazwiebel.blogspot.com/2010/08/sustainable-science.html 3) see http://www.wellsphere.com/general-medicine-article/physicists-disagree-about-climate-change/909357 Best regards, Pete Ridley
  10. Confidence in climate forecasts
    johnd wrote : "Personally I believe the experimental coupled GCM from SINTEX JMA of Japan is the most accurate, more so then the combined results of the ensembles. About 3 years ago it went completely against ALL other models that were predicting an imminent and large La-Nina and was the only one to have gotten it right." johnd, the link you provided was for June 2010, showing the SINTEX JMA agreeing with most of the other models. Do you have a link to the result three years ago, which you were so impressed by ?
  11. Why I care about climate change
    Pete Ridley at 05:54 AM on 8 August, 2010 Your propagandist approach to this isn't that interesting ("The Hypothesis" indeed!), and it might help you to take a more balanced approach if you would read the von Storch article you recommend. von Storch certainly doesn't consider "significant human-made global climate change" a "hypothesis", and no one who is in any way informed on this subject would do so (climate scientist, scientist, or otherwise informed individual): here's von Storch quoting from page 10 and 11 of the document you provide a link to:
    "…anthropogenic climate change is ongoing now; it can not be stopped; all what we can do is to limit climate change. The foreseeable future will hardly see any reduction of global emissions – but merely reductions of global emission growth.5 If we continue with business-as-usual and if no deus-ex-machina technological fit surprisingly emerges, we may well end up with a tripling or maybe even quadrupling of greenhouse gas concentrations in the atmosphere at the end of the current century. Such levels will have severe implications. Making serious attempts to reduce emissions, we may be able to limit the increase in the greenhouse gas concentrations to a doubling of pre-industrial levels.6 “Doubling” is to be considered an achievement; a successful limitation. But also a doubling will have serious implications. Therefore we have to consider adaptation to climate change, not instead of, but parallel to mitigation of climate change. The goal is to limit the accumulation of greenhouse gases to “only” a doubling (or any other achievable significant reduction) and to prepare societies and ecosystems to adapt to unavoidable future changes."
    We have to be rather more rational about the realities of mitigation and adaption. There's no question that we will take steps to mitigate the problem (as von Storch says) and of course there's no question that we will be forced to take adaption responses to the effects that will develop from anthropogenic global warming throughout the current century (and beyond no doubt) which we will be unable to mitigate against. Mitigation is always preferable since it allows us to take a degree of control of future events and will minimize the possibilities of the potentially dramatic consequences that lie on the "nasty" side of the uncertainties inherent in any projection that is only bounded by ranges of probabilities.
  12. Why I care about climate change
    Pete Ridley wrote : "I anticipate many global benefits from a few degrees of global warming and regard the warnings of climate catastrophe as a consequence of our use of fossil fuels to be nothing more than propaganda from political and environmental organisations like the UN, Greenpeace and WWF." Can you list those 'global benefits' and give the scientific backing for them ? Could you also show the evidence that reveals that 'propaganda' ? Pete Ridley also wrote : "John says of his acceptance of The (significant hiuman-made global climate change) Hypothesis that he “ .. wouldn't characterise it as 'belief', this is not a matter of faith ..” but he is no more an expert in this subject than you or I or any others subscribing to his blog. It is worthwhile looking at what Professor Hans von Storch, of the University of Hamburg’s Meteorological Institute, a scientist with real expertise in the subject has to say about it (Note 1)." From your link : In order to avoid misunderstanding, I am declaring already now: I am convinced that humankind can change climate, and I am equally convinced that humankind is presently changing climate. So, von Storch agrees with John's acceptance of AGW. I still find it very odd the way you write about AGW as "The (significant hiuman-made global climate change) Hypothesis" but think you will find that you are the only one who believes in such a strange, convoluted term which obviously helps you to accept whatever beliefs you have made up for yourself about climate and man's influence on it.
  13. Confidence in climate forecasts
    Another retrospective of Hansen's model of 22 years ago, and some expert remarks on the utility of models in general: Skill and uncertainty in climate models From the abstract of the paper analyzing Hansen's model: Analyses of skill are widely used for assessing weather predictions, but the time scale and lack of validation data mean that it is not generally possible to investigate the predictive skill of today's climate models on the multidecadal time scale. The predictions made with early climate models can, however, be analyzed, and here we show that one such forecast did have skill. It seems reasonable to expect that predictions based on today's more advanced models will be at least as skillful. In general, assessments of predictions based on today's climate models should use Bayesian methods, in which the inevitable subjective decisions are made explicit. For the AR4, the Intergovernmental Panel on Climate Change (IPCC) recommended the Bayesian paradigm for making estimates of uncertainty and probabilistic statements, and here we analyze the way in which uncertainty was actually addressed in the report. Analysis of the ensemble of general circulation models (GCMs) used in the last IPCC report suggests there is little evidence to support the popular notion that the multimodel ensemble is underdispersive, which would imply that the spread of the ensemble may be a reasonable starting point for estimating uncertainty. It is important that the field of uncertainty estimation is developed in order that the best use is made of current scientific knowledge in making predictions of future climate. At the same time, it is only by better understanding the processes and inclusion of these processes in the models, the best estimates of future climate will be closer to the truth. Here's how Hansen's model looks in retrospective tested against the null hypothesis: Forecast of Hansen et al.2 (blue line) evaluated against observational data (black). Twenty-year trends of forecast and observations are indicated with thick lines, as is the null hypothesis of zero trend (red). So we see that 22 years ago it was possible to construct a model that would predict behavior of the the Earth climate system w/some fidelity, no need for backwards-looking tweaking or the like. 12 years later, from 2000, we have another sample including more model runs to look at: From Intercomparison of Present and Future Climates Simulated by Coupled Ocean-Atmosphere GCMs As Hargreaves remarks, it's hard to imagine models are becoming worse over time. It's also possible to see that so-called "wide variances" between different models and different model instantiations don't have much to tell us about the fundamental utility of models because while such variances do indeed emerge decades into various model runs those models still tell us the same basic story, the planet will continue warming up. "Just models," of course, but observational evidence seems to largely coincide w/model output as we can see from Hansen's very early example. Quibble over wiggles, we can still do that of course.
  14. 10 Indicators of a Human Fingerprint on Climate Change
    Doug I think you are right. It would be good to see the cloud issue settled before high confidence is declared. IPCC. Clouds, which cover about 60% of the Earth’s surface, are responsible for up to two-thirds of the planetary albedo, which is about 30%. An albedo decrease of only 1%, bringing the Earth’s albedo from 30% to 29%, would cause an increase in the black-body radiative equilibrium temperature of about 1°C, a highly significant value, roughly equivalent to the direct radiative effect of a doubling of the atmospheric CO2 concentration
  15. Why I care about climate change
    Gallopingcamel, I mainly agree with your comments (#111) but suggest that mitigation is not about controlling global climate changes but about living with the impacts of them, wherever it might occur and whatever might be the cause. This is something that humans have done since the beginning. I anticipate many global benefits from a few degrees of global warming and regard the warnings of climate catastrophe as a consequence of our use of fossil fuels to be nothing more than propaganda from political and environmental organisations like the UN, Greenpeace and WWF. John says of his acceptance of The (significant hiuman-made global climate change) Hypothesis that he “ .. wouldn't characterise it as 'belief', this is not a matter of faith ..” but he is no more an expert in this subject than you or I or any others subscribing to his blog. It is worthwhile looking at what Professor Hans von Storch, of the University of Hamburg’s Meteorological Institute, a scientist with real expertise in the subject has to say about it (Note 1). Please see my comment today on the “Confidence in climate forecasts” thread. I do not believe that the Asian countries mentioned support The Hypothesis. It seems to me that their efforts on reducing the emissions of pollutants from their coal-fired electricity generation stations (is that one a month or one a week that the Chinese are installing?) is nothing to do with reducing emissions of that essential life-supporting substance CO2. The objective is to reduce to acceptable levels the real pollutants listed by The Union of Concerned Scientists (Note 2). These are (annual figure for a typical power station) - particles (500 tons), CO (700 tons), SO2 (10k tons), NOx (10k tons), VOCs (200 tons), Hg (170 pounds), As (200 pounds), Pb (10 pouinds), Cd, etc. Excluding the CO2 that the UCS includes in its list, the rest do need to (and can) be reduced to reasonable levels using the latest “clean coal” technology, as the Chinese are doing. Interest in the development of alternatives, including renewables, is for economic reasons, not as a means of global climate control. NOTES: 1) see http://coast.gkss.de/staff/storch/pdf/BadHonnef_0805-adaptation.pdf 2) see http://www.ucsusa.org/clean_energy/coalvswind/c02c.html Best regards, Pete Ridley
  16. michael sweet at 05:20 AM on 8 August 2010
    Grappling With Change: London and the River Thames
    Doug, Your link at 16 was an interesting read. Unfortunately it seems that the real pain will not be for several decades. If that is the case and people wait for their thousand cuts to start before taking action it may be a late start. While this was more up to date than the Tampa plan, they still estimate only a maximum of 0.65 meters by 2080. IPCC estimates for the next report will likely be up to 2 meters by 2100, more than double 0.65 m by 2080. GC, I have not seen the Dutch dunes, although I believe you that they are impressive. I do not think that Florida can copy them. The area to be protected is too big. Are you going to build the levies on our tourist beaches? Even if you were able to protect the cities, how would you protect the roads and get fresh water to drink? Holland has water run in from higher land while Florida gets salt intrusion now. There are only 6 or 8 million people threatened in Florida, we can all move to South Dakota.
  17. Confidence in climate forecasts
    Argus at 02:58 AM on 7 August, 2010 ”So you really believe that a climate model is just a "working replica of the earth" - only it is made from "mathematical equations" instead of "rock and water and other materials"?... No, of course not. A climate model is designed to simulate energy flows within the climate system. It doesn’t have to simulate “rock and water and other materials”. On the other hand a model could include rock weathering by parameterizing a huge amount of physics and chemistry on silicate weathering, and the relevant properties of water (ocean thermocline; mixing between ocean layers and other aspects of ocean heat transport; ocean surface evaporation; latent heat transfer and so on) can all be parameterized according to empirical physics. ”In the post How reliable are climate models? a big deal is made out of the fact that the models "successfully reproduce the past". Of course they do. That is what they were made to do. But predicting the future is another matter.” There is an element of the Monty Python “what did the Romans ever do for us” about your complaint! “Wot ‘ave models ever predicted...... except (i) the moistening of the troposphere at a time when at least one prominent “skeptic” was asserting that the upper troposphere would dry in a warming world; (ii) tropospheric warming during a long period when erroneous tropospheric measures were indicating the opposite (models predicted correctly again); (iii) northern polar amplification of global warming including a significantly delayed Antarctic response (model predictions from the 1980’s); the extent of warming in response to enhanced greenhouse forcing (models from the 1890’s; from 1975 and Hansen’s projection from the 1980’s discussed earlier); that tropospheric warming would be accompanied by stratospheric cooling and the increased altitude of the tropopause (models from 1980s); enhanced nighttime warming over daytime warming and enhanced winter warming over summer warming (Arrhenius predicted this in the 1890’s!); etc. etc. …..apart from that wot ‘ave models ever predicted!” The reason that models have been rather successful in predicting the Earth response to enhanced greenhouse forcing is that the issue is largely one of addressing the amount and distribution of energy in the climate system. There is a massive amount of well-characterized physics with which to parameterize models (the blackbody Earth temperature, the Earth’s albedo, the origin and magnitude of the greenhouse effect, and the fact that the earth temperature response linearly to logarithmic changes in [CO2] were already known and understood in the 19th century). And as I’ve said before there is a wealth of empirical and theoretical data that informs us that the Earth responds with a surface warming between 2 and 4.5 oC per doubling of [CO2]. In effect this can be considered a highly predictive (all else being equal!) model for projecting future temperatures in response to various CO2 emission scenarios. Global circulation models might be considered to be continuous embellishments of this basic energy relationship. They don’t actually have to be that complicated! It’s not obvious that they actually give us much more info about global warming per se than can be gleaned from the climate sensitivity, but of course (as I’ve said before too!) they allow testing of future projections and a focus on differences between model predictions and real world measurements [which so far have largely been settled in favour of the models (see my Monty Python sketch just above)]. ”I imagine it would be almost as hard as making a model of how the human race will evolve during the next million years.” (referring to how hard it might be to make an accurate climate model of the Earth). I wouldn't say so Argus. Physical models parameterized with well-characterized physics can do a good job of simulating relevant elements of physical systems. Since evolution is fundamentally based on stochastic variability (random mutations in heritable DNA), coupled with interactions at the somatic scale (e.g. mate-selection) under the influence of environmental “natural”-selection, buffeted by non-predictable stochastic (car accidents; fatal illnesses; non-reproduction) and contingent events (war, famine, tsunami’s, volcanic eruptions, earthquakes, floods and all the other nasties that can decimate populations unfairly), evolution is inherently non-predictable. ..weather's difficult too...climate not so difficult broadly speaking. n.b. be sure to click on the Monty Python sketch link!
  18. Waste heat vs greenhouse warming
    RSVP - slow distribution vs. fast distribution? Nah, not an issue. You put 0.028 W/m^2 out via AHF. Perhaps it takes a while to get into the environment - a long slow pipe via a river to the ocean and finally heating the atmosphere. Perhaps it goes out quickly - a short pipe directly via convection in a radiator, which only later heats the ocean by conduction/convection. But you have 0.028 W/m^2 going into the 'pipe' - and you have 0.028 W/m^2 coming out of the pipe. You still have 0.028 joules/sec/m^2 added to the environment. The length of the 'pipe' doesn't matter one bit - the rate of energy deposited in the Earth/air/water system does. On your two-barrel analogy - that would have been better put as looking at a single barrel with alternative filters. The 2 barrels really sounded like your previous arguments that there were two different heat stores, which is simply not the case. Keep in mind, though, that it's a very large barrel, and never gets empty, the Earth won't reach absolute zero.
  19. 10 Indicators of a Human Fingerprint on Climate Change
    There are many results indicating statistically significant temperature change, Alan. Global observed changes in daily climate extremes of temperature and precipitation Global Trends of Measured Surface Air Temperature Global rural temperature trends Maximum and Minimum Temperature Trends for the Globe Global temperature change and its uncertainties since 1861 Trends in global temperature Global temperature change Global Warming Trend of Mean Tropospheric Temperature Observed by Satellites Quite a few not mentioned. What's interesting is how old many of these findings are yet a lot of people are not aware of them, even so-called skeptics who ought to be the first to go find out what the facts are. A well-armed skeptic should look at everything before making assertions.
  20. Confidence in climate forecasts
    Thanks, Argus. It's notable that your post w/the remarks about "purpose" was discussing scientific research but as you further describe your feelings it turns out your concerns are about what you see as a tone problem in popular media and what you believe is an agenda pursued by the media to drive political action. That's not an argument about science. Your conclusions about popular opinion are also quite interesting. If you look around for scientifically conducted research into public opinion, you'll find that your perceptions put you in a small minority of persons that while varying by year in proportionality appears to show little if any trend.
  21. Peter Hogarth at 03:38 AM on 8 August 2010
    1934 - hottest year on record
    Broadlands at 01:38 AM on 8 August, 2010 Hopefully looking at the latest USHCN chart and data for US annual temperatures might be helpful and answer some of your questions: It ranks 1934 as 3rd highest temperature after 1998 and 2006. As you know this data set has been analysed by researchers (and critics) over many years, and contains a number of corrections and updates, most significantly (from the point of view of older data), “time of observation” adjustments. The corrections are described quite well for version 1 and most recently for version 2 which is used for the chart. The data, fully corrected, time of observation only corrected, and raw, can be downloaded from here
  22. Confidence in climate forecasts
    doug_bostrom (at 04:32 AM on 7 August, 2010): "What purpose do you believe that to be, Argus?" First, let me say that I am skeptic towards climate models for the same reasons as the signatures Pete Ridley (at 02:23 AM on 7 August, 2010) and johnd (at 11:35 AM on 7 August, 2010), as manifested in their recent comments. They are just expressing themselves far better than I am. "These models make correct predictions because they are based on general scientific principles", Kevin Judd claims about weather modelling programs. Correct predictions - that is quite a statement! And he seems to imply that climate models are just as correct, because "otherwise microwave ovens wouldn't work, aircraft wouldn't fly". He is obviously trying to inject 'confidence in climate forecasts' into the listeners to FM 92.1 (and the readers of this post), by making climate models seem as simple and reliable as "model stream-trains". -- Is it working out? Not for me, but according to doug_bostrom this is only because I am "harboring some misunderstandings about models". As for the question about purpose, I will first give a few examples. Whenever the future of our climate is presented in media, there is too often a tendency to exaggerate: '... warned the world that non-linearities in the ocean-atmosphere system could lead to a whopping 5 meter or more sea level rise over this century' - 'a 5 degree to 8 degree rise in global temperature in the next 100 years, expected by many scientists …' - '… the likelihood of [the glaciers in the Himalaya] disappearing by the year 2035 and perhaps sooner is very high'. I think the purpose behind the use of exaggerated news, is to wake up the masses, alert them so that they will start living more ecologically, and possibly influence their politicians to act sooner (and more forcibly). The alarming predictions are usually based on well chosen climate models, so I think they are influenced by the same purpose. A model that over-predicts global temperatures a bit, or shows a steeper curve, is more useful in this context. Unfortunately, alarming figures and exaggerated predictions do not work well anymore, I think. The public is becoming more skeptic for each new alarming report. I doubt that the purpose of informing the people (which is a good purpose) is served best in this way. New proselytes could possibly be won over more effectively with other methods than serving them half-truths.
  23. 10 Indicators of a Human Fingerprint on Climate Change
    So CO2 continues to rise and water vapour rises to magnify the warming. Unless there's a cloud on the horizon, it can't be long before temperatures rise to statistically significant levels.
  24. gallopingcamel at 01:56 AM on 8 August 2010
    Why I care about climate change
    kdkd (#112) I was not advocating an approach to energy policy as this web site is not into "solutions". My intent was to point out how difficult it is to change energy policies in the countries that are having the greatest impact on carbon emissions.
  25. 1934 - hottest year on record
    DOUG... "Given long enough these changes will work their way up through decimal places and emerge. That's exactly what we see in the global record, variability gradually moving upward."
 But, IS that what we are really seeing, long-term... at least since ~1880? Before 1975 the highest northern hemisphere temperatures occurred in the late 30s, around 1938. Look at Fig. A.6 in the 1976 NAS report "Understanding Climate Change". In 1975 the "normal" zero reference temperature was 14.9°C; the 1938 anomaly was about +0.6. This makes the 1938 NH absolute temperature ~15.5°C (59.9°F). Compare the NAS Fig. A.6 with this chart based on similar data: http://revolution2.us/content/docs/global_cooling/614-615.html Even though 1975 is centered in the current 1961-1990 "normal" base period, the northern hemisphere reference "normal" today is lower by 0.3°C at 14.6°C (58.3°F). With the 2009 NH anomaly around +0.5°C this makes the 2009 NH average only 15.1°C (59.2°F). That is 0.4°C BELOW the measured 1938 highs. Looks like in the ~50 years from 1885 to 1938 temperatures gradually rose, and then they gradually declined back to "normal" in the mid-70s before starting another gradual climb. It looks much more cyclical than the long, gradual upward climb depicted in current charts. [BTW, 59.2°F for the NH in 2009 is more than SIX degrees warmer than the US in 2009 (52.9°F)]. Maybe Tom is right that the US record doesn't matter.]
  26. 10 key climate indicators all point to the same finding: global warming is unmistakable
    (Oops, I hit Submit instead of Preview. Anymoo, the question is still the same.)
  27. 10 key climate indicators all point to the same finding: global warming is unmistakable
    OK, so I really have NO idea where to post this, but since it's the exact opposite of what this thread is about: Reecntly, I was asked (well, gently bullied would be closer to the truth :D) to do a guest blog about climate after providing a couple of answers I stoled from SkS. Since there are already quite excellent articles / sites about "10 most used skeptic arguments" or "10 myths about climate change", my idea was something like "10 key skeptic peer-reviewed studies surviving longer than a few months before being totally trashed". So far I have Friis-Christensen (1991), which isn't really close to 10 yet. Any suggestions? PS @ John & other mods: if you know a better thread to post this, please tell. I really won't mind. :)
  28. Three new studies illustrate significant risks and complications with geoengineering climate
    Figure 3 has been corrected.
  29. Remember, we’re only human
    HR #49 Nice, an argument by complacency. Good work.
  30. Remember, we’re only human
    Come on HR; I’ve pointed out before that quite a bit of your posting is contrived indignation arising from misrepresentation of others posts, and false précis. Your latest example is extreme bordering on the unpleasant! (i) population and “culls”. We don’t know what human population the Earth can support sustainably (we all agree I assume that is the only realizable long term future for humankind). We know that societies which reach a level of economic development that frees parents from producing large families (to maintain subsistence living, for support in old age and to counter high child mortality), tend to stabilize their populations. The UK had a population of 50 million in 1951, and the fact that it’s somewhat larger now is largely due to immigration. If there were imperatives to reduce population sizes this could be achieved (or might well happen naturally) as large populations became unsustainable (as they might…or might not). So you reference to “culls” is a pretty nasty misrepresentation. (ii) Your “strawman" - "one prevalent idea seems to be that the very existence of human beings is a problem" - also seems be to constructed to misrepresent sensible discussion. Throughout the evolution of human societies mankind has addressed problems. It’s one of the things we’re good at and a major impetus for scientific advance. We’ve addressed problems of infectious disease (at least in the developed world if less so in the developing one), energy supply (ditto), and more discrete problems like sulphurous industrial emissions (ditto re developed/developing world), CFC destruction of stratospheric ozone, morbidity and mortality due to ciggie smoking (ditto) and so on. We’re addressing the first of two major looming (and in fact rather helpfully linked) problems: global warming and depletion of fossil fuels, through rather rational considerations of transitions towards sustainable energy production, considering mitigation strategies and so on. I asked you on another thread to briefly outline your vision for the future, given that we both seem to share the ideal for economic and societal advance in poor countries. You declined to respond. But given your assertions that you “aspire to see them have everything we have, and more”, and that “we need to be clear that we still have to consume more”, it is a reasonable question how you consider those aspirations might be achieved in the real world . HumanityRules at 20:33 PM on 7 August, 2010 ”The overshoot is BS! It's been BS for 2000 years! ” Is that supposed to be an argument HR?
  31. Waste heat vs greenhouse warming
    KR 194 "If you cannot understand that, and continue to insist that AHF somehow acts differently than solar energy (does it somehow produce a different flavor of joules - chocolate, perhaps?), then you have a conceptual issue I cannot help you with. " The idea of chocolate flavored joules is sweet (no pun intended). Before I go on, sorry for not realizing that you did tie water level to radiative power in your analogy. My apologies. Aside, my two buckets (192) is not a comparison between waste heat with GHG heat as you seem to imply. The point of having two buckets had to do with comparing water discharge rate and silt profiles for two different types of filters. The filters represent effects of higher and lower CO2 concentration. It is a crude analogy only for purposes of focusing on temperature profiles which as per Ned 195 seems to be mapped out fairly well. That said, I am not convinced that there are not "chocolate" joules so to speak. For instance, wind chill factor can make a lot of difference to heat loss... its not that the joules are different, its that they are being transferred at a higher rate due to a moving fluid and evaporation. Likewise, N2 and O2 emissivity being much lower means that these gases radiate much slower than CO2. I have yet to see anyone even after 200 comments (i.e., doug_bostrom #198) address this question squarely. After saying this, of course, someone will now come up with some hoaky comment to simply distract attention from this issue,... please dont make me right (again). Back to "chocolate" flavored joules... What am I talking about? In the same way that wind chill factor affects cooling, radiative emissivity affects the rate for a grey body to cool. And given that N2 and O2 emissivity is much lower than that of CO2, a relationship must exist relating the theoretical waste heat value and apply a E(CO2)/E(N2) or E(CO2)/E(O2) factor and end up with a effective (chocolate) warming factor. The fact that no one has investigated this, does not make this possibility any less real. And from my point of view, in your not wanting in internalize this idea, I could just as easily say that, "you have a conceptual issue I cannot help you with."
  32. HumanityRules at 20:33 PM on 7 August 2010
    Remember, we’re only human
    48.kdkd Get yourself some optimism. The overshoot is BS! It's been BS for 2000 years!
  33. Has Global Warming Stopped?
    By the same token, using excel before thinking is the same as using a calculator without knowledge of calculation by head. The discussion developed after FDykstra used excel is actually a waste of brainpower. The basic question is: are the temp observations during that period representing a rise in temperature or are they random? The proper, formal, based on the 95% confidence interval, answer is: no, and Phil said so. Accordingly, Fdykstra, manipulating statistics is no substitute of knowing what one is doing, as was said in college. Given the percentage Phil gave, actually even more proper, and knowing the low number of observations, that percentage, representing the area of the normal distribution, is pretty high, I would say scaring high, given the convention of 5 or 10% confidence interval. A low number of observations is able to give that high percentage...conclusions are around the corner.
  34. Why I care about climate change
    gc #111 "It gets worse. Joe Sixpack is no longer your main problem. Vidya Patel (India) and J.K. Chang (China) want SUVs and electricity (mostly from coal powered plants). They will get what they want no matter how loudly you complain." This circular argument is self-defeating. Also in terms of the Chinese and Indian situation, you're pretty wide off the mark, they (especially China) are taking the development of a renewalble energy economy pretty seriously. On the other hand the Americans do seem to be taking the blinkerd approach you're advocating, at least at the Federal level. This isn't a problem for individuals, substantial differences can only be made by treating it as a collective problem.
  35. Remember, we’re only human
    HR #47 "one prevalent idea seems to be that the very existence of human beings is a problem" I'm pretty sure that'a straw man argument. Humanity's over-exploitation of the environment is a problem, and if we don't do something rational about it, the decisions will be made for us. This stuff relating to population ecology dynamics is fairly well understood, and it's pretty clear that we're very likely heading into overshoot. So you can moralise all you like, but I'm afraid that the scientific basis of our knowledge is distressingly amoral.
  36. HumanityRules at 19:24 PM on 7 August 2010
    Remember, we’re only human
    38.John Russell I wonder if you'd like to suggest the basis on which we start the cull? Or maybe forced sterilization? It seems the rational thing to do. I was going to read your link but the address made me feel sick. We live in a world were one prevalent idea seems to be that the very existence of human beings is a problem. It doesn't mean I have to agree with it. As I said, Malthus was wrong about the natural limits of this planet. I think the present doomsayers are equally wrong. Both are misdirected in were the real problems lie and under-estimate the ingenuity of us.
  37. 10 Indicators of a Human Fingerprint on Climate Change
    Re #41, the effect of water vapor can be calculated as for any other GHG. After that, you need to look for increased water vapor, and of course confirmation is good to have. Increases in middle atmospheric water vapor as observed by the Halogen Occultation Experiment and the ground-based Water Vapor Millimeter-wave Spectrometer from 1991 to 1997 Increase in lower-stratospheric water vapour at a mid-latitude Northern Hemisphere site from 1981 to 1994 Radiosonde-Based Northern Hemisphere Tropospheric Water Vapor Trends Tropospheric Water Vapor Climatology and Trends over North America: 1973–93 Trends and variability in column-integrated atmospheric water vapor Atmospheric Water Vapor over China Positive water vapour feedback in climate models confirmed by satellite data Global Cooling After the Eruption of Mount Pinatubo: A Test of Climate Feedback by Water Vapor
  38. 10 Indicators of a Human Fingerprint on Climate Change
    One doesn't need to be very sceptical to require an answer to topqquark's question at #41 : evidence for positive feedbacks.
  39. Monckton tries to censor John Abraham
    Monckton News Flash: Viscount Monckton of Brenchley is not and has never been a member of the House of Lords. However, allegations that he has claimed to be a member, and that he has used an emblem resembling the parliamentary emblem, have been drawn to our attention. The House is currently taking steps with a view to ensuring that Lord Monckton does not in future either claim to be a member of the House or use the parliamentary emblem or any variant thereof. FOGT Famed Pink Portcullis to be closed for good?
  40. Cornelius Breadbasket at 16:30 PM on 7 August 2010
    More evidence than you can shake a hockey stick at
    This is an excellent presentation. Well done. I will add it to my Youtube favourites (my channel is www.youtube.com/user/Herecomesthefatlady - I've collected a decent selection of the best videos about climate change). I have many 'discussions' with people on Youtube - I'll be very interested to see what comments this presentation attracts.
  41. Confidence in climate forecasts
    JohnD, you might want to take a look at what happens w/GCMs when they're challenged w/absurd perturbations such as instantaneous removal of all Antarctic sea ice. What you'll find is that without other simultaneous "knobbing" the effects of such perturbations are transient within a relatively brief time. For instance in the case of Antarctic ice being vanished by a "deus ex machina" the ice returns as of course it ought to do without for instance a massive load of C02 being dumped into atmosphere at the time of removal. This is what's expected from a faithful simulation and is a powerful hint as to how well the models adhere to reality. Stick w/clouds if you want to make a serious case about model limitations, that's my inexpert advice.
  42. Grappling With Change: London and the River Thames
    I think you and I share a problem w/biting our tongues, GC. Often said to cab drivers, random guests at parties, etc.: "Don't get me started." They don't realize the gravity of my advice... :-)
  43. gallopingcamel at 15:16 PM on 7 August 2010
    Why I care about climate change
    John Cook, As I suspected your really CARE. While I have no problem with that, you have bought into the idea that mankind is causing Global Warming and therefore mankind should be able to mitigate it. The mitigation idea fails on at least two levels. First, the warming is more beneficial than a cooling trend would be and you will never persuade a majority that the contrary is true. Second, you believe that the main factor driving Global Warming is the rising CO2 levels in the atmosphere brought about by industrialisation and rising human populations. Even if this controversial hypothesis is correct you will not be able to persuade Joe Sixpack to give up his "Redneck Cadillac" or his HVAC system. It gets worse. Joe Sixpack is no longer your main problem. Vidya Patel (India) and J.K. Chang (China) want SUVs and electricity (mostly from coal powered plants). They will get what they want no matter how loudly you complain.
    Response: We'll have to agree to disagree on your two key points:

    "warming is more beneficial than a cooling trend would be"

    The full body of peer-reviewed research indicates the negatives far outweigh the positives, particularly for the poor and vulnerable countries least equipped to adapt.

    "you believe that the main factor driving Global Warming is the rising CO2 levels in the atmosphere brought about by industrialisation and rising human populations"

    I wouldn't characterise it as 'belief', this is not a matter of faith. I'm convinced by the multiple lines of empirical evidence. That rising CO2 levels is the main factor is directly measured by satellites and surface measurements that find CO2 is trapping heat and the amount of heat trapped (in other words, the radiative forcing) is greater than any other radiative forcing. This is confirmed by a number of independent human fingerprints on climate change.
  44. gallopingcamel at 14:46 PM on 7 August 2010
    Grappling With Change: London and the River Thames
    doug_bostrom, (#39) The filibuster only exists in the US senate. A simple majority gets the job done in the House of Representatives. Some people think that a super majority should be needed there too. Sorry, I won't do it again (stray "Off Topic").
  45. gallopingcamel at 14:34 PM on 7 August 2010
    Grappling With Change: London and the River Thames
    Michael Sweet (#44), One has to look at the artificial dunes along the Dutch coast to get a feel for the huge scale of what the Dutch have been working on for centuries. Dunes over 25 meters high and running as far as the eye can see. Where rivers emerge into the sea, vast gates are in place to prevent water flowing in the wrong direction. You really have to see it to understand what has been achieved. You are probably right to suggest that creating similar structures to protect Florida may not be an attractive proposition. The perimeter may be too great in relation to the land area to be protected.
  46. gallopingcamel at 14:19 PM on 7 August 2010
    Grappling With Change: London and the River Thames
    doug_bostrom, Please accept my apologies for encouraging the discussion of something totally irrelevant (individual and economic freedoms). In the past you have often directed me to a more appropriate thread when I stray from the theme. Even though we are clearly from opposite sides when it comes to politics, you may find that we often agree when it comes to actions for protecting the environment.
  47. Confidence in climate forecasts
    JMurphy at 10:55 AM, whilst the example I have linked to is focused more on seasonal outlooks, and at the moment the results are unusually reasonably well aligned, a check back through the recent archives will demonstrate just how much variation different GCM models can produce in their results. Over a period of time most observers will focus more closely on the results of one model rather than the combined results which more often to not becomes meaningless, especially when the range of results amongst all the models are wide. Personally I believe the experimental coupled GCM from SINTEX JMA of Japan is the most accurate, more so then the combined results of the ensembles. About 3 years ago it went completely against ALL other models that were predicting an imminent and large La-Nina and was the only one to have gotten it right. Modelled Climate and Ocean Predictions on page 2
  48. Confidence in climate forecasts
    doug_bostrom at 09:43 AM, a couple of points should be considered. One is that climate modeling, though based on known physics and accumulated data is reduced to combining a number of interacting mathematical equations that is supposed to represent real world conditions, and then project them forward. As many tutors of mathematics will possibly agree, when the expertise of the students (modelers) is examined, it is not whether or not the class as a whole arrived at similar conclusions that matters, but who within that class made all valid assumptions and got the calculations into the correct relationship that determines the validity of the overall equation and the overall result so determined. A number of incorrect assumptions that may end up balancing each other out does not validate each of the processes, but that is what is being asked of us by taking the combined output of a number of different models as being a valid conclusion. Another point is that whilst mathematics is a precise science when dealing with absolute values, when real world data is introduced, the values come attached with varying degrees of margins of error. When such values are being used to establish trends, the margins of error are going to be magnified, increasing the further forward the projections are being made to the point the margin of error makes the projection useless. Therefore it is incumbent upon the modelers to ensure that their inputs and assumptions are free from such errors. Given various models assume different values and inputs, rather than giving more confidence that the science is settled, it only confirms the division that exists. Once we see that the number of models tracked by the IPCC being reduced as the assumptions being made in each are either validated, and so must be incorporated into all other models, or proved invalid so rendering the model itself invalid, then perhaps we can see greater confidence in climate models justified. As I watch the football each week, Aussie rules that is, I am reminded often that the team whose game plan is correct, and whose goal kicking is very precise with very few misses, are at times overrun by an opposition with a muddled game plan and atrocious goal kicking, but one that wins the game because the sheer weight of errors in kicking for goal still resulted in sufficient minor scores to scrape a win. Knowing some such footballers from my schooldays, they had as much trouble explaining how they may have inadvertently produced the right result in maths examinations as they have explaining how they happened to muddle their way to a win on the field.
  49. Confidence in climate forecasts
    johnd wrote : "Whilst the IPCC confines itself to tracking 20 something climate models there are countless other climate models from which they could have chosen." "Perhaps one of the models does accurately track the past and the present, and accurately project into the future, but which one? Only one can be absolutely right, but by being right it then invalidates many of the assumptions made in all of the other models. The only other alternative is that none are right." You should read what the IPCC actually do with the output of the models : Ensembles of models represent a new resource for studying the range of plausible climate responses to a given forcing. Such ensembles can be generated either by collecting results from a range of models from different modelling centres (‘multi-model ensembles’ as described above), or by generating multiple model versions within a particular model structure, by varying internal model parameters within plausible ranges (‘perturbed physics ensembles’). In order to identify errors that are systematic across models, the mean of fields available in the [Multi-Model Data set], referred to here as the ‘multi-model mean field’, will often be shown. The multi-model mean field results are augmented by results from individual models available as Supplementary Material (see Figures S8.1 to S8.15). The multi-model averaging serves to filter out biases of individual models and only retains errors that are generally pervasive. There is some evidence that the multi-model mean field is often in better agreement with observations than any of the fields simulated by the individual models. Ch 8, Climate Models and Their Evaluation The use of ensembles of AOGCMs developed at different modelling centres has become established in climate prediction/ projection on both seasonal-to-interannual and centennial time scales. To the extent that simulation errors in different AOGCMs are independent, the mean of the ensemble can be expected to outperform individual ensemble members, thus providing an improved ‘best estimate’ forecast. 10.5.4.1 The Multi-Model Ensemble Approach And, looking at the number of countries that were involved, it's difficult to see how many other models they could have looked at or used. Do you have any suggestions ?
  50. More evidence than you can shake a hockey stick at
    James - Fantastic. I get tired of the "buried in bull" arguments, great to see such a large collection of actual data, with sources no less. Sometimes, when I'm feeling masochistic, I post something about actual data on JoNova's site. Then I go hide until the spittle level dies down...

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