Climate Science Glossary

Term Lookup

Enter a term in the search box to find its definition.

Settings

Use the controls in the far right panel to increase or decrease the number of terms automatically displayed (or to completely turn that feature off).

Term Lookup

Settings


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.

Home Arguments Software Resources Comments The Consensus Project Translations About Support

Bluesky Facebook LinkedIn Mastodon MeWe

Twitter YouTube RSS Posts RSS Comments Email Subscribe


Climate's changed before
It's the sun
It's not bad
There is no consensus
It's cooling
Models are unreliable
Temp record is unreliable
Animals and plants can adapt
It hasn't warmed since 1998
Antarctica is gaining ice
View All Arguments...



Username
Password
New? Register here
Forgot your password?

Latest Posts

Archives

Recent Comments

Prev  386  387  388  389  390  391  392  393  394  395  396  397  398  399  400  401  Next

Comments 19651 to 19700:

  1. Study: to beat science denial, inoculate against misinformers' tricks

    I can produce dozens of articles (peer-reviewed, if you insist), showing that vaccination is effective.  Nobody, NOBODY, can produce one paper (peer-reviewed or not) that shows, unequivocally, that a reduction in CO2 lowers global temperature.

    Moderator Response:

    [JH] The use of all-caps constitutes shouting and is prohibited by the SkS Comments Policy. Please read the policy and adhere to it.

  2. 2017 SkS Weekly Climate Change & Global Warming Digest #19

    Language matters, especially when you're trying to inform the public, who may not understand the physical underpinnings of Climate Change.  For example, when they hear "Did Global Warming 'pause' during the 2000s?"  they assume, even without reading further, that this was of some debate in the informed community.  So, the denier claim, that there was a 'pause', is validated even from just the title.  The uninformed public may not realize that any planet for whom 93% of the mass affected by Global Warming is ocean water, water that has shown only an acceleration of warming in the 2000s, cannot have sustained, in any way, a 'pause' in Global Warming.  Yes, there was a 'pause' in Atmospheric warming, and it is worthy of study and debate.  But there was never any indication of any 'pause' in Global Warming, at all.  We all know that, the author of the 'Atlantic' article knows that, and in the interest of brevity we go along with a nomenclature that has got to be making the deniers very happy.  The uninformed public doesn't know that the Atmosphere is just 1% of the 'globe' in 'global warming', and they are taking titles like that at face value, unfortunately.  How do you spend that much time and words battling over a 'pause' in Global Warming, for a decade during which Global Warming accelerated?  By misplacing the Earth, it would seem.

  3. Citizens’ Climate Lobby - Pushing for a price on carbon globally

    Linked below is a very good, indepth podcast on carbon pricing policy & related subjects. It's very much worth the 40mins to listen to it! It is an open interview of two very knowledgeable & articulate people on the economics & global politics concerning climate action policies. Some of this addresses the faults of the past carbon pricing "1.0" attempts, and, looking forward, some of the reasons for a brighter outlook for a carbon tax with today's growing political & commercial voices, what they call carbon pricing "2.0". This podcast was posted on the CCL FB page a few days ago.

    www.brookings.edu/podcast-episode/carbon-pricing-harnessing-market-efficiency-in-pursuit-of-clean-energy/

  4. 2017 SkS Weekly Climate Change & Global Warming Digest #19

    nigelj@1,

    The technique you're probably asking for, to determine and quanify the so called recent "slowdown" in AGW temp signal is called "change-point analysis", which does piece-wise linear function fitting to the data in order to get the optimal linear model. You obviously have to demonstrate that changes in your model be statistically significant to avoid overfitting.

    Stefan from RC has done it as described here and concluded there was no statistically signifficant change in temp signal derivative since ~1970, putting to bed any serious claims of "slowdown" or "hiatus". Also, Tamino nicely explained the statistics behind this method here.Note that Stefan's article comes from Dec 2014, which is before latest monster ElNino pushed surface temps higher. Tamino's blog comes from Apr 2015: so when ElNino in question just started.

    Of course, science deniers' claims have nothing to do with reality or statistical methods, so they'll continue to bang their silly "it's stopped warming..." talk no matter what.

  5. Citizens’ Climate Lobby - Pushing for a price on carbon globally

    Sorry! The %GDP numbers in my @5 above are wrong concerning on how much $100/UStonCO2 would be in %GDP. I mistakenly used global 40bn UStonsCO2 (wrong) & divided by $18tr US GDP (right) to calculate the incorrect 22% value. If using the correct 7.4bn UStonsCO2 & dividing by $18tr US GDP, the correct percentage is 4.1% for the 100/USton CO2 RNCFD tax rate. 

    Presently, energy costs are 8.8% of GDP (LINK). Therefore, the 4.1% is ~50% of current GDP energy costs. If current RE uninstalled technologies are equal to uninstalled carbon technologies (based on recent internet articles I have seen), then this $100 RNCFD tax would therefore make carbon technoloiges 50% more than RE's (12.9% GDP vs 8.8% GDP).

    A 50% increase in energy cost is a fairly significant driving force so to economically justify investment infusion for R/D, RE commerical ventures, and justify both transition & conservation projects (both in the private & public sectors). If $100 RNCFD tax rate does not result in fast enough transition & reduction in discretionary consumption, then the $100 RNCFD tax rate could be increased so to accentuate the economic driving force.

  6. 2017 SkS Weekly Climate Change & Global Warming Digest #19

    I could never understand what all the fuss was about from the climate denialists over the so called pause. I'm not a climate scientist, but I'm well educated, and I recall the early IPCC reports said there would be occasional periods of about 10 years where temperatures slowed, or even declined, due to short term natural variation like el nino / la nina etc. This was in the general media as well, so nobody interested in climate can plead ignorance.

    We had about 10 years of flat temperatures, entirely in line with these predictions, so I could never understand what all the fuss was about from the climate denialists.

    The denialists claimed there was a 15 plus year pause, but this is a distorted, fake claim simply using the peak of the 1998 el nino as a starting point. You have to use a running trend line (or whatever the correct term is) in which case the so called pause was about 10 years or less.

    I do admit temperatures were getting close to the outer limit of error bars in climate models, and another few years would have raised serious questions of what was going on, but then we had high temperatures of the last few years, which ended the pause. So the pause was within expectations and climate theory.

    There may be more pauses as well, then the fools can start their chanting again, "global warming stopped in 2027 / 2047 / etc, etc.

    I have read various explanations that the pause never happened, it was statistically insignificant, and / or over estimated, etc. This is true scientifically, but from a public perception point of view its probably better to acknowledge that temperatures slowed for a few years from about 2002 - 2010 (depending on what data you look at) and this is obvious looking at any temperature graph. There was a slowdown, or whatever you want to call it.

    The climate denialists blew the whole thing out of proportion, probably deliberately to cause confusion and doubt. Well it's clear to me global warming has definitely not stopped. The longer term temperature trend from approx. 1900 is just looking relentless now.

  7. Citizens’ Climate Lobby - Pushing for a price on carbon globally

    Gingerbaker and Richard:

    Evidence suggests carbon taxes work in British Columbia, Canada.

    Some targeted policies are required (fugitive emissions from wellsites and gas-infrastructure, for example), but there's little that says a carbon tax won't work as a main tool at tackling CO2 emissions.

  8. Industrial-era ocean heat uptake has doubled since 1997

    Science of Doom made a simple ocean model to test what impact a certain short wave forcing (solar) and an equal long wave forcing (infrared) had on the ocean temperature. The result was an almost identical warming from both types of forcings from the surface down to a depth of 100 metres. So, infrared back radiation can indeed warm the oceans below the skin layer, if "warming" means "raising the temperature above what it would otherwise be".

    Another, and for me even more convincing argument that this must be true is a simple budget of the surface energy fluxes:
    If the average surface temperature of the oceans is 290 K (17°C) and the emissivity is 0.95, the heat loss by radiation is 0.95 * 5.67*10-8 * 2904 = 381 watts/m2. If evaporation and sensible heat is included, the total heat loss increases to about 500 watts/m2.
    That’s a huge problem for the "back radiation deniers" as the direct solar forcing is only 168 watts/m2 according to this source, or about 1/3 of the value required to maintain the present surface temperature. Where do the missing ~330 watts/m2 come from if not from the long wave back radiation?

  9. Electric Cars are the Missing Link to a Zero Carbon Energy Grid

    Some good news regarding grid scale energy storage developments in the UK. A while ago the Pumped Heat Energy Storage company Isentropic went into administration having come close to designing the first grid scale unit that was to be tested at a UK sub station.
    Isentropic is now a part of a research facility of Newcastle University, which is frankly brilliant news because Isentropics technology offered excellent scalable levels of storage, with low costs and low losses.
    The sub station unit is currently being commissioned and will start operations this summer!

    www.isentropic.co.uk

  10. Citizens’ Climate Lobby - Pushing for a price on carbon globally

    The only system I can see that would be effective is what James Hansen suggests.  A small tax on carbon coming out of the ground or across your boarder increasing by some pre set increment each year.  Every cent of the money collected given in equal proportion to each individual tax payer by virtually free electronic transfer.  If someone doesn't have a digital bank account, too bad.  Sending checks is expensive.  Use the IRD data bank and sent the money to the same account that they send refunds to.

  11. citizenschallenge at 13:02 PM on 14 May 2017
    Study: to beat science denial, inoculate against misinformers' tricks

    KR 17 - why do folks always leave out the part about Curry's dependence on personal attacks? - Her articles consistently insinuate that scientists are dishonest, she often suggests motives that show serious respected scientists in the worst possible light.

    Judith Curry does her "science communication" by malicious one-sided rhetoric. Tippy toeing around that doesn't help anyone. Why not confront it, case in point:

    "¶1 A look behind the curtain of John Bates’ facade - The John Bates Affair" - A citizen's examination of the article at the heart of this season’s faux climate scandal. "Climate scientists versus climate data" - John Bates, posted on February 4, 2017 at Curry's ClimateEtc

    http://whatsupwiththatwatts.blogspot.com/2017/03/1-behind-curtain-of-bates-facade.html

  12. SkS Analogy 3 - The Greenhouse Effect is Like a Cloudy Night

    dudo39 - Your claim that "Statistics do not provide solutions: they may indicate how to express an educated guess or opinion [neither one is a fact]" is quite incorrect. 

    Statistics in science state that the evidence points to a particular result with some uncertainties due to measurements, predictability, available observations, etc. That's not expressing an opinion, your opinion won't change the evidence one bit. 

    To quote Philip K. Dick, "Reality is that which, when you stop believing in it, doesn't go away." Evidence is not opinion, and not a guess. 

  13. Study: to beat science denial, inoculate against misinformers' tricks

    Haze - Short answer on Curry's blog. She asserts almost nothing quantifiable or testable, implies doubt by emphasizing uncertainties despite their small levels, and basically gives a certain class of climate denialists and 'lukewarmers' a space to claim that the science isn't solid. 

    Again, nothing testable, nothing solid, just handwaving, implications of nefarious actions on the part of the body of climate scientists, and assertions of doubt. It's a denial site. 

  14. Industrial-era ocean heat uptake has doubled since 1997

    Yes, infrared radiation penetrates about a millimeter into the ocean. And in doing so, warms the suface 'skin' of the ocean, held fairly stable by surface tension, and in doing so lessens the amount of heat the oceans release to the air. Given the stable skin, only heat conduction can allow that energy to cross the interface to warm the air by conduction or evaporation, and that conduction is directly related to the temperature difference on opposite sides of the skin layer. 

    Infrared doesn't directly 'warm' the oceans past that millimeter, the input is from SW radiation - but it slows their loss of energy, and more energy means the oceans warm. 

    See How-Increasing-Carbon-Dioxide-Heats-The-Ocean.

  15. What Does Statistically Significant Actually Mean?

    @7 Exactly. And to take it one step further, at which point does the expectation of a fair coin exceed 50-50 once you start from a long run?  

    Answer: Always. The long term expectation of a fair coin will ALWAYS be biased to at least some degree into the infinite future by starting from a run and counting that cherrypicked run into the total.

  16. What Does Statistically Significant Actually Mean?

    To tie jgnfld's comment 5 to the coin toss example, what most of the pseudo-skeptic fake Galileo's tend to do wtih their naive or misleading analyses is to wait for the random toss of the fair coin to come up with four heads in a row. Then they try to argue that there is a trend from heads to tails when they include those four tosses at the start of a longer sequence.

    Thus, HHHHTHTT is used as "evidence" that the coin is changing its behaviour away from heads. As long as you are patient (or dishonest) enough, you will eventually find that HHHH sequence to start with.

  17. Citizens’ Climate Lobby - Pushing for a price on carbon globally

    The criticism of carbon taxes from some people doesn't make sense, and is just angry rhetoric. Carbon taxes are the most workable option in my opinion. They would reduce use of fossil fuels, and also provide funds that could be rebates to the public, or subsidies for renewable energy construction, or a combination of both.

    Reduction in fossil fuel use would then become an incentive to build renewable energy, but a rather slow incentive. You would actually also need legislation forcing provision of renewable energy.

    Carbon taxes are consumption taxes, and these are very common and workable. For example we have had petrol and diesal taxes to fund roads for as far back as I can remember, and no problem. We have tobacco taxes as an incentive to reduce use, and to subsidise healthcare, and this has worked quite well. A carbon tax used to fund renewable energy is fundamentally no different in principle. Where do you think China gets its subsidies on renewable energy from, if its not some form of tax somewhere?

    Of course a tax is politically difficult in some countries, but not everyone is as partisan as America. If a carbon tax is correct, the public as a majority will generally accept it even if somewhat reluctantly, just as we have mostly accepted tobacco taxes and petrol taxes and road user charges. Your problem in America (and plenty of other countries, mine to some extent) is your so called politicians ignore the public, and are basically slaves to narrow business interests. Until the public stands up to this you are going nowehere environmentally. Standing up to lobby groups and corporations is not socialism! Taxation is not socialism. Corporates have a good and bad side like anything.

    I agree privatised electricty can be problematic, and freemarket ideologies can become fanatical and irrational if pushed to absurd extremes, but simply having a public utility will obviously not automatically solve the climate issue, or provide cheap power. You would still have to mandate that it build only renewable energy, and/ or have carbon taxes to push people in the right direction.

  18. More errors identified in contrarian climate scientists' temperature estimates

    Tom:

    Art may be thinking of Watt's surface stations project, but his comment focused almost entirely on an erroneous description/understanding of radiation shields.

    The purpose of the radiation shield is to get the best measurement possible (within budget or practicality) of the air temperature at a specific height above a specific point.

    • That air temperature may vary horizontally, depending on the variability of the surface conditions.
    • That air temperature will always vary vertically, because that is the temperature gradient along which thermal energy is transported. I have measured several degrees difference between heights of 0.5m and 2m - for example at night with light winds and a strong inversion due to surface radiative cooling (IR losses). Roughly, the temperature gradient is proportional to the logarithm of height (z)  - i.e. T = A*ln(z)+ a constant. (Note: this is a very simplified version of the full math.)

    The question of effects on local surface variation are related to the question of whether or not the temperature we measure is representative of the temperature of the region. That is an entirely different question from "can we measure air temperature accurately?" I know from experience that it is possible to measure air temperature accurately enough to easily detect vertical differences in temperature of a few hundredths of a degree per metre.

    One reason routine meteorological air temperatures are measured at a height of 1.5-2m is so that they average over some area. Rule of thumb: 2m height will react to 100-200m upwind surface conditions. That's why upwind surface conditions are a factor. We could avoid that by measuring close to the surface, but then we are risking very local effects: think of the surface temperature difference between a concrete sidewalk and wet grass on a sunny summer afternoon. That's what Watt's group tried to look at. Fall et al is an OK paper, but Watt's hasn't a clue about the physics.

  19. One Planet Only Forever at 06:55 AM on 14 May 2017
    2017 SkS Weekly Climate Change & Global Warming News Roundup #19

    The 'leadership of the moment' in the USA deliberately trying to gain competitive economic advantages by acting less responsibly needs to be addressed.

    It is established international policy that when the leadership of a region is failing to act responsibly the international community collectively strives to Correct the Behaviour or Minimize the Damage done, including efforts to unseat the damaging undeserving leadership.

    In this case, a deliberate desire by the 'leaders of the moment' in the USA to try to Win by getting away with behaving less responsibly should be addressed by carefully targeted trade sanctions (surgically impacting the wealthy people hoping to gain most by the attempt to be less responsible). This approach has been applied to North Korea and many other nations. It now appears to be required regarding the current irreponsible and damaging leadership of the USA and its intensely negative action plans.

  20. Richard Stephens at 06:21 AM on 14 May 2017
    Citizens’ Climate Lobby - Pushing for a price on carbon globally

    No, No, No. Taxing carbon does nothing to solve the problem ... it simply displaces it. Renewable energy is the only solution, but low oil pricing will defeat it. Don't tax carbon; tax oil imports! #TaxImportedOil

  21. Citizens’ Climate Lobby - Pushing for a price on carbon globally

    Thank you SkS on publishing this good update on the CCL organization!

    Eclectic @2, very good points. I'll tag along: The wikipedia article on Carbon Tax also gives a good summary, global history, aspects of effective policies & list of endorsements. My Summary: Most of the global C-tax policies have not been nearly as effective as they could be, because they fail to meet the obvious requirements of an effective tax policy. For a C-Tax to be effective, it must be: a) comprehensive (on all FF's, at their source point, proportional to their CO2 footprint), b) have significant impact (at least 10% of GDP, CCL's $100/USton would be 22% of US GDP), c) do not subsidize impacted industries either directly or via tax deductions, which is likely reason the efficacy of most global C-taxes has not lived up to their full potential (subsidizing impacted industries is simply moving money in a circle; of course, the result falls short), and d) the tax must be progressive (i.e. all revenue must be returned to the citizens, and none to industry). On the latter point, only citizens should receive the dividend. They ultimately are the source of the markets. So, in terms of pure capitalistic economic principles, they should be the only sector to receive the dividend. In other words, no specific industry sector by itself is intrinsically endowed w/ capitalistic value except for those that serve basic human survival needs, which are typically publicly funded (water, education, civic order & security, etc). CCL's proposed policy covers these publicly funded sectors by stating that the citizen dividend would be taxed like any other income; this covers the sustinence of these intrinscially valuable sectors. To return the dividends to today's status-quo industries (and I would argue that such industries are already & invisibly subsidized today because the external or social cost of their processes is not included in their product costs), is to capitalistally circumvent the optimum cost vs value trajectory of the economy in a non-sustainable and, thus, injust direction (we would all agree on that statement).

    I would agree that subsidizes may likely be necessary to aid in transitioning public utilities. That can still happen as a separate policy. CCL's proposal is, of course, not meant to be an exclusive, do-it-all policy solution. But subsidizing much beyond transitioning public utilities, I believe, would be less effective than RNCFD (revenue neutral carbon fee & dividend), because when subsidizing renewable processes, the selection of which processes to subsidize is limited to the presently known technologies and futhermore is easily politically influenced, resulting in less than optimum solution pathways versus the more effective use of free-market competition & ever organic human ingenuity to discover & develop ever new & better solutions. Instead, let the competitive force of the free-market drive the re-direction of investments away from the carbon-laden & thus less profitable industries, and toward the increasingly more profitable sustainable industries, thus driving the development of optimum R/D endeavors and the resulting commercial solutions.

    In the industry that I work in (corn wetmilling for starch & syrup products), I can affirm to everyone that if there was a $100/USton tax, that the plants where I work would immediately implement 100% cogeneration using CCGT technology, thereby cutting our sizable carbon footprint in half (because with a proper C-tax, energy cost would go hand-in-hand with the processes carbon footprint). I believe my anecdotal story would be representative of what would happen all up & down the economy resulting in significant carbon reductions. However, if this transition was fueled instead by regulations or subsidy programs (which are also more administratively burdensome than RNCFD), who's to say if the ultimate & economically viable pathway to the highest degree of carbon emission reductions is, instead, a gradual phase-out of the entire corn wetmilling industry, or at the least, a complete shake-up of our product line. Because the policies of subsidies & regulations do not comprehensively result in "loading" the entire economy with the true cost of FF's (agriculture, other raw ingredients, shipping, packaging, etc, etc ... i.e. but only impact those processes that the subsidies are only directed to), industries like mine would still be partially subsidized (as they fully are now), due to not applying the full & comprehensive extent of carbon's future external costs into our process economics. This makes these other policies less effective in driving the optimum economic sustainable trajectory. On the other hand, RNCFD, by its nature in touching the whole economy, would most effectively force the economy toward optimum solutions and thus maximum carbon emission reductions.

  22. Citizens’ Climate Lobby - Pushing for a price on carbon globally

    Gingerbaker - have you checked out the REMI-study commissioned by CCE in 2013? Here is the link to the summary from where you can get to the full report:

    http://citizensclimatelobby.org/remi-report/

  23. SkS Analogy 3 - The Greenhouse Effect is Like a Cloudy Night

    michael sweet, it is not a matter of "understanding how to read", its is a metter of having sufficient knowledge and understanding on the subject matter before even attempting to solve a problem or get some answers.

    Statistics do not provide solutions: they may indicate how to express an educated guess or opinion [neither one is a fact].

    So, it appears to be quite evident that when it comes to what is the net effect of water vapor, the fat lady has not sung as yet.

    Yes indeed, we have to make the best decision we can with the information we have, which to me, it does not mean to make facts out of opinions to justify the decision.

  24. Citizens’ Climate Lobby - Pushing for a price on carbon globally

    "Both approaches, used in parallel, seem most appropriate (don't you think?)"

    First of all, I do not think both approaches would be available. At least in the U.S., enormous political capital would need to be spent to pass a carbon tax, and I think it is nearly certain that RE subsidies would be on the chopping block as the Republican price for any agreement.

    I don't think that is surprising - incredibly, it is difficult to find staunch supporters of subsidies now even on the environmentalist side.  I am constantly amazed at the libertarian bent of people interested in this issue. Do they think we should not spend government's money to give preference to RE? They are obsessed with phasing out RE subsidies, are constantly comparing costs of RE vs fossil fuels as if Keynesian economic theory should inform us on this issue. There is a theology about the free market at work here, which is gobsmackingly obtuse imho considering what we know about political corruption and its track record re RE these past thirty years.

    Yet, we do know a few things.  We know that every single penny spent on a RE subsidy actually builds the only thing that we truly need to solve AGW - RE infrastructure built and deployed. We know that with any of the zillion proposed carbon tax schema, there is zero guarantee that a dime will be spent actually building that infrastructure. We know from years of past experience with carbon taxes in place around the world, that, for the most part, they have been huge failures and do not result in new RE being built any faster than in places where there are not any carbon taxes. They are not even evaluated by that calculus.

     

    Yes, a carbon tax seems like a good idea in a general, hazy Econ 101 sort of way  And everyone seems to think a good idea, even if no one actually knows how it might actually work.  But, if we spend more than five seconds thinking about it, carbon taxes do not hold up to scrutiny. Worse, they appear to me to be a guaranteed way to make people despise environmentalism. No one, in any schema I have seen, is going to be rebated exactly what they have paid. In most scenarios, despite initial promises, it turns out that half the people will be paying in more than they will be rebated. Combine that with a steady drumbeat in the anti-environmentalist echo chamber, and we are going to see the carbon tax as the most despised boondoggle ever devised. With zero results to show for it. The public is going hate us. There lies doom.

     

    I'll tell you what we DO have evidence of success for:  government mandates and subsidies.  China is actually accomplishing their part in solving AGW. They don't have any need for the vaguaries of a carbon tax - a mixture of mandates and subsidies is building RE more successfully than the total grand sum of free marketeerism has accomplished over the past three decades.

     

    I would also like to point out to you that twice in your reply to me you have couched the issue of carbon taxes only in relation to "private investors". The majority of electric utilities in the U.S., however, are publicly-owned co-ops or nonprofits. And a giant question that nobody addresses is to what extent should the electric sector remain in public hands? How can we justify the idea of a for-profit paradigm when sun and wind are free and the total expenditure for a brand new RE system would cost us only about seven years of current U.S. fossil fuel spending - which could be payed off in less than a decade while the longevity of RE systems looks to be  0.5 to 1.5 century?

     

    Please note that a carbon tax is antithetical to providing RE power at the lowest possible cost. By making FF more (regressively, btw) expensive, we provide no incentive to keep RE prices low - quite the opposite.

     

    We have an opportunity to build ourselves an egalitarian energy system which could deliver energy at such low cost to us we really could take the meters off the wall. Instead, we are doing everything we can, it seems, to transfer our public utility system into private hands, and set ourselves up for paying maximum prices for energy forever.  We really can do so much better than that.

  25. citizenschallenge at 22:55 PM on 13 May 2017
    What Does Statistically Significant Actually Mean?

    Dikran valuable article, quite informative, in fact mind-boggling.  It helps an uninitiated, such as myself, appreciate the depth of cumulative complexity.  It also underscores the reason real experts have spent decades and life times dedicated to studying this.  It'll make a handy reference.  Thank you for taking the time to tackle the near impossible task of explaining statistical significance to dummies.  :- )

    peter

  26. Citizens’ Climate Lobby - Pushing for a price on carbon globally

    Gingerbaker : surely the mechanisms of carbon tax and targeted subsidies are so very different, that in asking which is more "effective", you are trying to make an apples & oranges comparison.  You would need to carefully define an agreed definition of "effective" — particularly in relation to short medium and long-term time scale.  Additionally, the two approaches are not exclusive (and probably a good case could be made for using both together, to differing degrees at different locations around the world, according to physical circumstances and perhaps political/cultural circumstances as well).

    There is a further difficulty, in that a competent carbon tax system has not had much of a trial so far : and thus it is premature to judge effectiveness.   Common sense and general economist opinion both indicate that a carefully constructed carbon tax (with or without "dividend") would be reasonably efficacious — provided that it is politically "locked in" and gradually from a low base ramped up at a rate which is well-understood and gives private investors the full certainty they need in order to make their plans for construction of facilities (and phasing out of old plant).

    Direct intervention with RE constructions gives the benefit of moving things faster, but needs to be well flagged/publicised to give private investors ample time to make their own best plans to integrate into the future national infrastructure.

    Both approaches, used in parallel, seem most appropriate (don't you think?) .

  27. Citizens’ Climate Lobby - Pushing for a price on carbon globally

    Is there a shred of evidence - a single shred - which shows that any carbon tax has been more effective than targeted subsidies at actually getting new RE infrastructure built?

  28. What Does Statistically Significant Actually Mean?

    Another point w.r.t. significance that is often misused (naively or deceitfully) is examining a series then cherrypicking a local min or local max as the start point for a supposedly "new" and "independent" analysis. This can drastically bias the raw probabilities given by various stats procedures.

    By picking a local min in a descending series we can see false "recoveries" in, for example, ice extent records. Alternatively, by picking a local max in an ascending series we can see false "pauses"--or even "cooling periods"--in, for example, temp records. In both cases the reported probabilities have little to do with the actual probabilities when corrected for the cherrypicks.

  29. What Does Statistically Significant Actually Mean?

    The comments by Bob Loblaw @3, and Mammal_E @1 show how important it is to be clear in what you are testing.  If we are testing to see if a coin shows heads (or tails) on both sides, the most reliable statistical test is to look at one side, then look at the other.  

    If we want to test to see if it is weighted to favour one side over the other, and absent precise measuring devices, the best test is to flip it repeatedly to see if there is a bias in the results.  In this instance a two tailed test is appropriate because we do not know whether it is biased towards heads or tails, but we would not test against the probability of a particular sequence of heads or tails, but a particular frequency of heads or tails given that a weighted coin will not always turn up the lighter side.

    If we want to test to see if an umpire, or group of umpires are cheating in favour of a particular team in the coin toss, we would use a single tail test against the actual sequence of calls by the captain of the team.  The test will be against the probability of that sequence turning up given the number of sequence calls (ie, the number of call sequences by all captains in the competition). 

  30. More errors identified in contrarian climate scientists' temperature estimates

    Bob Loblaw @10, I think Art Vandalay was trying to allude to Watt's surface stations project.  The idea is that introduction of a cement slab or other artificial structure to the immediate vicinity of a meteorological station will contaminate the trend information.  While direct IR absorption by the thermometer does not have any impact on that, it is certainly possible that such degradation of the site might have an effect.  Indeed, the effect was quantified in Fall et al (2011).  They state in the abstract:

    "This initial study examines temperature differences among different levels of siting quality without controlling for other factors such as instrument type. Temperature trend estimates vary according to site classification, with poor siting leading to an overestimate of minimum temperature trends and an underestimate of maximum temperature trends, resulting in particular in a substantial difference in estimates of the diurnal temperature range trends. The opposite‐signed differences of maximum and minimum temperature trends are similar in magnitude, so that the overall mean temperature trends are nearly identical across site classifications. Homogeneity adjustments tend to reduce trend differences, but statistically significant differences remain for all but average temperature trends. Comparison of observed temperatures with NARR [NorthAmerican Regional Reanalysis] shows that the most poorly sited stations are warmer compared to NARR than are other stations, and a major portion of this bias is associated with the siting classification rather than the geographical distribution of stations.  According to the best‐sited has no century‐scale trend."

    It should be noted that for the primary point of comparison with satellite data, ie, daily mean temperatures, the "... overall mean temperature trends are nearly identical across site classifications".

    You have shown that Art Vandalay was wrong in assuming site degradation would effect thermometers by IR radiation to any significant degree, but it does effect local air temperature which is measured at the site.

    Finally, I will note that homogeneity adjustments in the surface temperature record are conceptually equivalent to the adjustments made to the satellite record to ensure consistency between the records from different satellites.  The major difference is that in the surface record, the adjustment is not checked against the records of one or two other satellites, but against multiple nearby thermometer records, making the adjustment far more reliable.

  31. More errors identified in contrarian climate scientists' temperature estimates

    Art Vandelay's description of the effects of a radiation shield is not correct. In addition to eliminating the heating effect of the sun, you also want to eliminate the normal surface IR imbalance.

    Under most conditions, IR is a net loss by the surface - the surface emits more than it receives from the sky. This might be close to zero with low overcast, but with clear skies the net loss will be well over 100 W/m2. Overall, net IR cools the surface. We do not want this effect on our air temperature measurement.

    The thermometer has an energy balance. If we look at the gain or loss of energy by the thermometer, there are three terms. The sum of the three tells you whether the thermometer is losing or gaining energy.

    1. Net radiation (solar + IR)
    2. Thermal heat gain/loss with the air
    3. Evaporative loss to the air (water evaporates from the surface of the thermometer, consuming latent energy which cools the thermometer).

    You need to end up as close as possible to net radiation = zero, so you want solar gain = 0 and net IR = 0. You need to keep the thermometer dry to eliminate evaporative cooling. Then the thermal gain/loss depends on whether the thermometer is warmer, cooler, or the same temperature as the air. If warmer, the thermometer will lose energy to the air and cool. If cooler, it will gain enery from the air and warm. At balance, the thermometer is equal to air temperature and neither cools nor warms, which is what we want. Now we have a measurement of air temperature.

    The temperature is then referred to as "dry bulb temnperature". Why? Because if we add water to the mix, we add evaporative cooling. With evaporative cooling the thermometer cools below air temperature, until the heat gain from the now-warmer air exactly balances the rate of heat loss by evaporation, and a stable temperature is reached. That temperature is called the "wet bulb temperature", and it is a fundamental way of measuring the humidity of the air (in combination with the dry bulb temperature).

    Even if net radiation is not exactly zero, ventilation using a fan reduces its effects. Big thermometers are worse than small thermometers. In fact, if you use a fine-wire thermocouple (diameter typically 0.001"), then you don't even need a radiation shield or ventilation. Such thermocouples are not particularly robust, though.

    Art's speculation about LWR variables contaminating climate data is off base, as far as radiation shields are concerned, because the radiation shield isolates the thermometer from the surrounding net IR fluxes, just as it isolates it from the solar fluxes.

  32. What Does Statistically Significant Actually Mean?

    Yes, but the sequences HHHT, or THHT are both equally unlikely, too - in fact any single sequence of four tosses has the same probability of 0.0625 (with a fair coin).That's how we figured out 0.0625 - there are 16 different sequences of four tosses, each with equal probability (1/16), all equally "extreme".

    If you had a coin that constantly repeated the sequence THHT, then even though you get 50% heads and 50% tails over a long period of time, you would still be playing in a rigged game. If you bet on the basis that each toss was independent/random, then the person that rigged the coin and knew the pattern would be able to take your money.

    Four heads in a row or four tails in a row gets our attention because we see a pattern - and our brains think that pattern is significant, even though it is quite possible with a fair coin. Because we see a pattern, we think it is more significant than it really is.

    ...which is why we should use statistics.

  33. More errors identified in contrarian climate scientists' temperature estimates

    Nigelj #7:

    "The "law of large numbers" would probably cancel out some of the biases in the surface record, because of so many thermometers."

    Indeed! Tamino demonstrated that point very clearly in his blog post Warts and All six years ago. There is an impressive correlation between the temperature trends in five large gridboxes in Europe when using raw data only!

  34. michael sweet at 07:09 AM on 13 May 2017
    SkS Analogy 3 - The Greenhouse Effect is Like a Cloudy Night

    Dudo39,

    I am sorry, I thought that you understood how to read a scientific report.

    It is very rare for a scientist to make a definitive statement as you request.  There is always the possibility that new data will be uncovered that results in something unexpected, even though that possibility is very low.  Instead, scientists often speak in terms of probabilities.  In the Climate field, lay people have objected to numerical descriptions of data (for example saying there is a 95% chance something will happen) so the terms likely (>66%), very likely (>90%) and extremely likely (>95%) are used (IPCC definations).

     It is difficult to get an exact  value for cloud feedback so research continues on this topic.  In simple terms, for clouds the data indicate that clouds are not a large negative feedback.   It is most likely that clouds are a small positive feedback.  Clouds will not prevent overheating caused by AGW.  Clouds might make warming worse.  A scientist would not make absolute claims about clouds because the research is not yet done.  

    Many things in life are not definite.  If I go for a drive in my car I might not come back.  We have to make the best decision we can with the information we have.

  35. More errors identified in contrarian climate scientists' temperature estimates

    Kevin@5, knaugle@4,

    Indeed. The noise of the linear regression residual (be it random or red noise of ElNino signal) - in fact linear regression itself does not represent the data variability across th etimespan shown -is not the subject of this OP. The subject is the biases from imprecise modeling of TLT temperature. When TLT is partially contaminated with TLS (and stratosaphere temp is supposed to fall) then we have a trouble obtaining accurate ands unbiased TLT data. That bias (and bias from satelite drift and trouble combining data from differrent sateltes) is a bigger problem than whether random noise and ElNino red noise. Thermometers place in Stephenson boxes don't suffer from orbital decay if the boxess stand steady.

  36. More errors identified in contrarian climate scientists' temperature estimates

    Art Vandelay mentions that the sun screens around thermometers can still radiate lw radiation, and I think he is also referring to the urban heat island effect?

    I thought these things were well known uncertainties and dealt with, and also relatively small biases. I thought the raw data was adjusted to ensure these sorts of things didn't bias temperatures upwards? Am I right? They are easy enough things to quantify, more so than problems with satellites.

    In comparison the satellite data seems to be full of controversies about possible biases and uncertainties, from what I read over at RC, so are more of an unknown quantity.

    It's also important to realise problems with sun shading for thermometers would either be constant over the decades, so unlikely to distort an actual changing temperature trend, or if the sun shades have been improved, this would obviously improve the accuracy of the trend. Neither would cause a warming bias to the trend.

    The "law of large numbers" would probably cancel out some of the biases in the surface record, because of so many thermometers.

  37. More errors identified in contrarian climate scientists' temperature estimates

    If anything the warming is greater than we measure.  Sound strange?  We should be estimating how much warmer the earth is compared to where we should be if we were slowly sliding into a glacial as we should have been.  Apparently the interglacial most similar to our present one in terms of the Milankovitch cycle is the one that occured 400,000 years ago.

  38. Dikran Marsupial at 04:48 AM on 13 May 2017
    What Does Statistically Significant Actually Mean?

    Mammal_E indeed, good point.

  39. What Does Statistically Significant Actually Mean?

    "The probability of a test statistic at least as extreme as that observed is called the "p-value". In this case, there is no more extreme result than four heads in a row if you only flip the coin four times, so the p-value is just the probability of getting four heads in four flips"  

    — Not quite.  There is another equally extreme outcome (4 tails) which should be considered to generate a 2-tailed p-value — the probability of getting FOUR OF THE SAME RESULT (4 heads OR 4 tails) in four flips = 0.0625+0.0625 = 0.125.  Now, a result of 4 tails might not rouse suspicion (because it works against the other team's interests), but that is not really relevant to the test of whether the coin is fair.

  40. SkS Analogy 3 - The Greenhouse Effect is Like a Cloudy Night

    michael sweet, I stated "The link does not give a definitive statement....": which word don't you understand?

    Your statement is iffy and indefinite....

  41. More errors identified in contrarian climate scientists' temperature estimates

    Knaugle: I'm afraid that's not a very good indication of the uncertainty in the temperature estimates. The uncertainty given by the temperature plotter is a measure of the 'wiggliness', or more precisely the deviation from linearity. So what it is actually telling you is that the satellite data are more wiggly.

    While uncorrelated errors in the data would contribute to wiggliness, so can other things, and worse the long term biases of the kind which might be present in the MSU data may not. So for example a simple drift over time won't show up in the uncertainty at all, but will lead to a substantially wrong trend.

    What you can infer from the larger uncertainty in the trend tool is that the satellite data are more strongly influenced by El Nino. Which also reduces their usefulness in detecting long-term trends (unless you do an analysis to remove the impact of El Nino), however this has nothing to do with errors in the dataset.

  42. More errors identified in contrarian climate scientists' temperature estimates

    It's true that there are errors everywhere in measured data.  But not all errors are equal.  Is it just scatter?  or bias?  or what?  Kevin Cowtan's page at Univ. York is interesting in that it shows at least the scatter part of each of the main data sets.

    University of York, Temperature Plotter

    Note that the nominal uncertainty of the warming rate calculated by the  HadCrut4 and GISTEMP data for the past 30 years is ±0.06 °C/decade, whereas the uncertainty of the RSS 3.3 TLT set is ±0.09 °C/decade and UAH 6.0 TLT is ±0.11 °C/decade.  While the satellites are showing lower warming rates, it also appears they are struggling to achieve a consistent measurement as it is.

  43. michael sweet at 22:21 PM on 12 May 2017
    SkS Analogy 3 - The Greenhouse Effect is Like a Cloudy Night

    Dudo39,

    Did you read the intermediate tab at the link you were given?  It states that it is difficult to exactly determine the effect of clouds.  It is most likely that the effect of clouds will be a positive feedback (possibly a large positive feedback) and that it is very unlikely that there is a large negative feedback from clouds.  There is a small chance that clouds have a small negative feedback.   A more recent lecture is attached that I did not view but probably addresses your questions.

    Overall climate feedbacks are positive.  It is very unlikely that clouds will bail us out and cause warming to be small.

  44. SkS Analogy 3 - The Greenhouse Effect is Like a Cloudy Night

    steveingbg, a simple mention would be sufficient for me. The link does not give a definitive statement, say as to what is the net effect, of an increase in cloud coverage, on the thermal balance of the biosphere. I would say that clouds act like a greenhouse gas by blocking infrared radiation from the earth day and night, and reflect [and block?] incoming solar radiation [during the day, of course]: the key point is to determine what is the net effect of clouds on the thermal balance....

  45. Art Vandelay at 12:26 PM on 12 May 2017
    More errors identified in contrarian climate scientists' temperature estimates

    There are errors associated with land and sst measurements too of course. In fact, a thermometer enclosed within a pseudo solar shielding box near ground level is really only a means of attaining an approximation of air temperature - because the solar shield converts some short wave radiation into LWR, and additionally, the ground and surrounding area also radiate (LWR). The consequence of this is that LWR viariables can contaminate climate data if they change over time.        

  46. Is the climate consensus 97%, 99.9%, or is plate tectonics a hoax?

    In the case of "plate tectonics denial", if the theory of plate tectonics had said that fossil fuel extraction would cause an unheralded increase in the rate of plate movements, and this would lead to huge increases in earthquake activity and great damages to many populated areas close to fault zones (hi, California!), with huge impacts on society as me know it, would this have led to corporate funding of plate-tectonic-denial think tanks? Would companies like Exxon have invested large amounts of money to deny the science in order to protect their business, as they have with anthropogenic climate change?

    Fortunately, plate tectonic theory made no such predictions, so corporate interests did not react that way, but how has the fossil fuel industry reacted to claims that fracking causes earthquakes?

  47. 2017 SkS Weekly Climate Change & Global Warming News Roundup #18

    Also of interest.  A significant revision of the amount of the Earth's surface covered by forest.  The news article says of Professor Andrew Lowe, one of the papers authors:

    'He said if the newly discovered forests are protected, they could provide information about how trees "fix" carbon, and prompt a re-evaluation of the global "carbon budget".

    "We know that forests sequester huge amounts of carbon, so increasing the area of forest globally helps explain additional carbon sequestration opportunities that are available," Professor Lowe said.'

    It probably will result in a reevaluation of the total carbon stored in forest systems, but is unlikely to lead to a reevaluation of the change in the amount stored IMO.  That is because the later is constrained by isotope data.

  48. More errors identified in contrarian climate scientists' temperature estimates

    Using satellite-measured microwave radiation to try to determine atmospheric temperatures is affected by what is called "the inversion problem". I can't quickly find a definitive discussion of it, but a quick search produced this paper that mentions it in the abstract:

    http://www.sciencedirect.com/science/article/pii/002240737890136X

    The inversion problem can be summarized as this:

    • radiation transfer theory is quite capable of taken a known set of atmospheric conditions (temperature, pressure, chemistry, etc.) and giving quite accurate estimates of the resulting radiative fluxes.
    • Going the other way - taking radiation measurements and trying to use a model to determine atmospheric conditions (in this case, temperature) - is much more difficult. The problem is usually "ill-conditioned" - there are a lot of unknowns, and the model can be made to fit the measurements fairly well with a wide variety of closely-related input parameters that may or may not be known accurately.
    • For example, if my model says A+B=C, and I know A and B, it is easy to estimate C. On the other hand, if I measure C and don't know much about A and B, then it's really hard to say I know B with certainty. If B is what I am interested in, and I can find an independent way to know or estimate what A is, then I can learn about B by measuring C, but my estimate of B is highly dependent on how well I do with A.

      All the "corrections" to Spencer and Christy's results over time can be described as modified attempts to constrain the results based on improved understanding of either the models or the approximations needed to overcome the inversion problem. Spencer and Christy's track record - of having others find problems that need fixing - does not do them a lot of credit. Follow the link to the Grauniad's story to see the graph of Spencer and Christy's sequence of corrections to their work.

  49. More errors identified in contrarian climate scientists' temperature estimates

    The most important point about the satellite data is that it is an attempt to model atmospheric temperatures. Once fully mature, this would be an invaluable tool to model temperatures throughout all strata of the atmosphere. Like all complex modeling, there is always room for incremental improvements on the basis of advances in the data and theoretical insights.

    The opposition often articulated between climate models and "the satellite data" completely skips the problem that all "raw" data must be integrated and interpreted within a framework (model) to tell us anything useful.

  50. Industrial-era ocean heat uptake has doubled since 1997

    Eclectic - CC was just repeating a common myth. This states that only visible-wavelength radiation penetrates into sea (as you state), but infrared only penetrates a millimetre if that. Ergo, increasing infrared cannot heat the ocean. This is a fallacy, missing the full nature of energy interactions in the system. CC was pointed to resources explaining it but appears to be incapable of comprehending any experimentally proved physics which undermines his/her cherished position. Once someone prefers their misinterpretation to observational evidence, there is little point in further discussion.

Prev  386  387  388  389  390  391  392  393  394  395  396  397  398  399  400  401  Next



The Consensus Project Website

THE ESCALATOR

(free to republish)


© Copyright 2024 John Cook
Home | Translations | About Us | Privacy | Contact Us