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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 60251 to 60300:

  1. Shakun et al. Clarify the CO2-Temperature Lag
    So what we're quibbling about here on the basics is the definition of "forcing" where H20 is concerned. William may be insisting, if he is actually insisting, that WV is a forcing post LGM because it is the largest contributor in GHG warming. If so, no -- orbital changes are the forcing. WV is a feedback, and it is always the dominant element in GHG-based warming (but not the controlling factor -- like a bad mob film, WV is the "muscle" that does the bidding of the little guy in the shadows--Joe "CO2" Maguire--but doesn't do much on its own, unless the big big boss (orbital) needs some long-term project done -- ooo, I see a climate-as-film-noir project). Sublimation rate does not change of its own accord. WV will not increase of its own accord on the climate scale. It is always a feedback to whatever forcing. CO2, likewise, does not increase of its own accord. We don't speak of AGW-concurrent permafrost CH4 mass release as a forcing. We shouldn't speak of post-LGM WV increase as a forcing or as a trigger. I don't think that is William's intent in 113. If he clings to the idea that WV is a trigger, a forcing, then we need to question his ability to honestly engage. If, instead, he means that WV played a more crucial role than CO2 in early post-LGM warming, then that's a good, debatable position.
  2. Cliff Ollier: Swimming In A Sea of Misinformation
    Two minor quibbles: "Sitting atop the Antarctic and Greenland continents are immense sheets of ice kilometres thick." Last time I looked, Greenland wasn't a continent. "contrary to popular perception, there was slowdown in the heat uptake in the upper ocean (0-700 metres deep) layers from 2003-2008, when compared to the half decade." Errr ... what half-decade? Best wishes, Mole
  3. Shakun et al. Clarify the CO2-Temperature Lag
    Michael Whittemore @123, If you look at figure 4 in the original post, you will see the following sequence: 20 kyr: temperatures start to rise from 60 to 90 degrees north, presumably due to Milankovich forcing, temperatures start falling from 30 to 60 degrees north; 19 kyr: temperatures start falling from 60 to 90 degrees north, and continue falling from 30 to 60 degrees north. Temperatures from 30 degrees north to 60 degrees south start rising; 18 kyr: temperatures start rising from 60 to 90 degrees south; 17.5 kyr: CO2 levels start rising, temperatures cease falling from 30 to 90 degrees north. That makes it 2,500 years from the onset of the Milankovitch forcing until tropical and southern hemisphere waters were warm enough to start a steady rise in CO2 levels. The Milankovitch forcing heated that water indirectly by shutting down the AMOC, an important subtlety Haas does not mention, but his statement that it took 2,500 years for the Milankovitch forcing to trigger the rise of CO2 levels is correct. Haas may in fact just be very confused on certain points, or he may be very subtle. He may have adopted the approach of making egregiously wrong statements and then defending a reasonable position which can be mistaken for the false position he originally stated. If that is his game, by not acknowledging where he is correct, but clearly distinguishing it from his initial statements you fall for a rhetorical trap and find yourself arguing against true beliefs in the mistaken opinion that you are arguing against false beliefs. In doing so, you hand victory to the rhetorician how laid the trap. I am not saying that is what Haas is doing. As I said, he may just be confused, or even just have stated a reasonable position in a very confused way. Regardless, he has persistently made claims which are false, even absurdly false as you have highlighted; but defended the reasonable position that H2O was a significant positive feedback during the first 2,500 years of the glacial/interglacial transition. To avoid continuing the confusion, Haas needs to clearly answer my questions in 118. But to avoid continuing the confusion we need to recognize when he is right, but clearly state why what he is saying that is correct is not the same thing as, and does not support those things which he has said which are wrong.
  4. First Look at HadCRUT4
    How much of the change is due to the HadSST3 and how much is due to CRUTEM4? This is rather crude and will blur the distinctions somewhat, but working from the merged land/ocean maps (I should really use the separate land and ocean files) I get the following 15 year trends 1996-2010: HadCRUT3: land: 0.255 C/decade ocean: 0.058 C/decade HadCRUT4: land: 0.310 C/decade ocean: 0.088 C/decade Difference: land: 0.055 ocean: 0.030 (Don't expect these number to match the distributed values.) Taking into account the different areas covered, the ocean looks as though it's a slightly larger effect. However because I have use the global rather than land and ocean maps I'm overestimating the ocean trend and underestimating the land trend. I guess the two play a similar role. That doesn't come across in the graphic, because the ocean change is a small change smeared over the whole map. (I will try and do the calc properly at some point.)
  5. Michael Whittemore at 00:53 AM on 19 April 2012
    Shakun et al. Clarify the CO2-Temperature Lag
    I cant believe we are even wasting our time on William Haas. He clearly thinks that the 7% warming seen during LGM was global, and that it was caused by H2O. Just look at his comments below “To enhance or continue global warming is atmospheric CO2 really necessary to explain it? What about H20?” Comment can be seen here “There is no imperical data uncovered by this article to show that in the first 2,500 years since LGM that the green house gas, an increase in average atmospheric H2O did not have some roll in global warming” Comment can be seen here From the very start we have all been trying to disprove these statements. We all know that the initial forcing was the change in Earth’s orbit, H2O was not the forcing just the feedback. Even when the (AMOC) stopped, there was no added forcing that warmed the South it was just an energy imbalance with less warm water going north and more staying in the south. Even in William Haas resent comment he clearly tries to attribute H2O to global warming, even though we all know that the 7% warming seen during the LGM was nowhere near global. Just read the comment below “During the time I am talking about there was CO2 in the atmosphere but because it did not increase, its increase could not have contributed to global warming.” Comment can be seen here @Tom Curtis you say that “William Haas's comment at 113 is correct in every detail.”. You really think that William’s saying “Apparently it took 2,500 years for the Milankovitch forcing to heat a large enough volume of ocean water to effect global CO2 levels.” Is true?
  6. New research from last week 15/2012
    #3 & 4 - the lead author, Ben Booth, has made a couple of comments about the paper and blog/media reactions at Tamsin Edwards' blog: http://allmodelsarewrong.com/how-to-be-engaging/#comment-1084 http://allmodelsarewrong.com/how-to-be-engaging/#comment-1094
  7. 2012 SkS Weekly Digest #15
    As an avid (non contributing) reader... Another angle on 28 is that, IMHO, denial through being Sciencey or matherterbation has just about run its course. It's been important and informative to do thorough take-downs and those are excellent resources; but now I'm always surprised when the same-old-same-old arguments are trotted out (except by politicians!) and would be equally surprised to see any new tropes which really take hold, be they sciency or 'social'... how much of a real splash did the NASA administrators joint letter really make? SkS is settling, seems to me, into more posts of excellent reviews and takes on new research. And this is right. Seems to me it's time to spend less time reacting and to take back the lead both in terms of understanding the severity and impacts of AGW and policy. We're told by Chris Mooney that 'conservatives'* are good leaders in a crisis - more and more are now realising the facts of AGW and are likely to be looking for material to use in combating it... those who've changed, or made up, their mind and come to SkS for information on AGW should find a friendly place. *I put quotes there as I'm aware the SkS contributors are actually from a very broad Church ... and not just liberal-minded, pink-o heathens ;)
  8. GISTEMP: Cool or Uncool?
    On the previous post, Skywatcher pointed out quite rightly that the rectangular projection I have used in the maps can create a misleading impression, because the area is exaggerated as you move away from the equator. This inflates the apparent impact of poor coverage at high latitudes. All the conclusions of this post are based on the global temperature averages, not on the illustrations, which are provided as an attempt to explain what is going on. However there is certainly one point which needs to be demonstrated more clearly, I'll try and clarify. In determining the impact of poor coverage at a given latitude, there are three factor at play: The fraction of the Earth's surface covered by that latitude band, the amount by which temperature anomalies in that latitude band differ from the global mean, and how much of that latitude band is missing. In the case of the Arctic, these pull in different directions. The Arctic covers a relatively smaller area than a corresponding latitude range at the equator, but the temperature anomalies are changing much more quickly and the coverage deficit is much more significant. How do these effects play out? That is shown in the following figure: To generate this figure, I took the GISTEMP gridded maps and reduced the coverage to match HadCRUT3 over a 30 degree latitude band, leaving the rest of the map untouched. I then calculated a temperature series from the gridded map series. I repeated this 6 times to produce 6 temperature series. I then took the difference with the original full-coverage data. The results are shown above. Each line represents the bias added to the total temperature series by the loss of coverage in that latitude zone alone. As you can see, the Arctic is the biggest contributor to the recent cool bias of HadCRUT3, followed by the northern mid latitudes. The Antarctic actually provides a warm bias, but one which has been declining since 1998, thus actually adding to the cooling bias since that date. In fact every zone except the southern tropics has been contributing to the cooling trend in HadCRUT3 over the last 13 years. In summary: When calculating area averaged global temperature anomalies, the GISTEMP data suggests that the Arctic, despite it's comparatively small area, is the largest single contributor to the cool bias due to poor coverage in HadCRUT3. The NCDC data suffers from the same problem at high latitudes, although its mid-latitude coverage is better. The implications for HadCRUT4 are interesting.
  9. New research from last week 15/2012
    #3 - wow. Clearly a result that needs corroboration / verification, but if that turns out to be right it is remarkable. Yet another blow to the fabled, mythical, "natural variations" that some skeptics tout to explain global warming.
  10. New research from last week 15/2012
    Nature bombshell: The Atlantic Multidecadal Oscillation (AMO) was driven by man-made aerosol pollution according to improved climate models: This is an introduction in Nature News and Views: Climate science: Aerosols and Atlantic aberrations And this is the paper: Aerosols implicated as a prime driver of twentieth-century North Atlantic climate variability If this is confirmed by more research, then man-made climate change(in this case more in the form of "global dimming" than "global warming") is after all behind extremes in events like Atlantic hurricanes and the Sahel monsoon anomalies, phenomena that have been linked with the AMO.
  11. Models are unreliable
    Relevant to this discussion on skill/validation of models is Hargreaves 2010
  12. Data Contradicts Connection Between Earth's Tilt and the Seasons
    Manny #20, my wording in #18 may have led to some confusion - I'm not implying that modellers made no mistake. I am implying that they have constructed a physical representation of Earth that is consistent with observational data. It is not arbitrarily constructed either, but constructed from our fundamental understanding of heat flows, radiation and the properties of solids, liquids and gases. It could be fundamentally flawed, but as it is based on physics and not on an arbitrary regression (as in the satirical example above), it has an awfully good chance of being closer to the truth than arbitrarily drawing a line through a few years of temperature data. As such, it has a very good chance of showing us what to expect over the next century, given assumptions of certain key parameters, like CO2 emissions and long-term solar activity. I've responded here as my comment relates to misinterpreting of my #18, but further discussion of models should continue on the thread as directed by scaddenp above.
  13. Shakun et al. Clarify the CO2-Temperature Lag
    Let me take a little break here. I again want to thank you for all of the effort that has been put into this. There seems to be more than one person responding to my posts so that there are all that many more posts that I have to respond to. I guess my post 113 did not go all that badly. I do agree with quite a bit that has been said. Some of you seem to be jumping the gun on what conclusions I am going to come up with. I am not trying to espose anything that is revolutionary or sinister. I am just trying to find the truth as I am sure that your are too. I plan to continue to respond to posts in order. Some of them take additional effort on my part to consider and I am sure that, like you, I have a lot more going on in my life then just responding to posts on this site.
  14. Data Contradicts Connection Between Earth's Tilt and the Seasons
    I would also say that this is heading off-topic fast, so I have responded here
    Moderator Response: [DB] Fixed link
  15. Models are unreliable
    Continuing from a comment posted by Manny: Sorry, what is extraordinary about the claims of climate theory? They are fully consistent with everything else we know about physics. The time period for model validation is not some arbitrary no. (eg why stop at 100,000?) but more determined by internal variability which is calculable. However, the basic theory of surface temperature, if correct, must work throughout all times and on all planets. There are two problems going back long periods in time: 1/ computer power - full resolution, 100 year runs take a lot of muscle and time. Its more normal to look at specific parts of past time (eg LGM, ememian peak, YD, PETM etc). You dont gain a lot with very long runs. 2/ Uncertainty as to the inputs increase. ie what was past albedo, atmosphere composition, TSI etc. There are uncertainties in proxy records for those as well as uncertainties in the proxy temperature. You can say that paleoclimate temperature proxies are consistent with climate theory and proxies for climate forcings. Ditto for temperature regimes on other planets. However, paleoclimate isnt the only way to validate model - they after all push out predictions on huge no. of variables on various time scales. See Chpter 8 of that IPCC report. However, the modellers would also I am sure caution you that it is better to consider model skill rather than simple model validation. In considering the implication of the modelling for future planning, this is what matters.
  16. Data Contradicts Connection Between Earth's Tilt and the Seasons
    Scaddenp, I looked carefully at all the figures (I am visual) of the WG1 Paleoclimate document. That's what I was looking for, thanks. And indeed, the models are validated over 1,000 years, not 100. To go back to the main topic here -- that validation of a model on too little data is misleading -- I cannot help wonder why, since the 1,000 yr temperature data is mainly proxy, did the IPCC modelers not extend their validation with more ancient proxy data? There are Greenland ice cores going back 100,000 years and Antarctic going back 400,000 years. All they have to do is run their computer longer. Extraordinary claims require extraordinary evidence.
  17. Shakun et al. Clarify the CO2-Temperature Lag
    LOL... grrr... I went backwards: absorb 334kJ/kg on melting, release 334 kJ/kg on freezing - any chance of correcting that last post? 3x10^15 kJ absorbed per year just to melt the ice we are losing - does that heat absorbtion have a significant masking effect on what we measure with thermometers?
  18. First Look at HadCRUT4
    Excellent post, and an interesting prediction in the concluding line. I wonder if it is what we will see (a switch to using NCDC), or will the skeptics continue stubbornly using HadCRUT3 as the levels of denial bite harder and harder? One minor gripe I have is the representation of the globe as a rectangualr grid in visualisations, such as Fig 1. It's not a big gripe, as GISS have been doing it for years, and I know from personal experience that it's an awful lot easier to plot data in this way! But it does over-highlight, from a purely visual perspective (and for no other reason), the red areas at the top and bottom of the world. In the Hadley datasets also over-highlights the surface area covered by missing data. It should of course be noted, before anyone suffests otherwise, that this is accounted for in calculations of global anomalies!
  19. Shakun et al. Clarify the CO2-Temperature Lag
    How much of an effect does the latent heat of melting ice have? Take the present day, for example: if we are losing ~100 km^3 per year of ice (Howatt et al., 2008, PDF), that works out to 9x10^12 kg of ice melted, which would XXXXXXX absorb 334 kJ/kg, or 3x10^15 kJ per year (focused on areas where melting is most prominent). That seems like a lot to me...
    Moderator Response: TC: post edited at authors request. 1:34pm 18/4
  20. Shakun et al. Clarify the CO2-Temperature Lag
    #116 - William, you really, really need to re-read Michael Whittmore's post at #109, and mine at #108. You might note I said at #108 that we live on a wet planet, and that WV was the largest component of the GH effect, we agree on that, and a surprising amount of correct (if obvious statements in your post). Your conclusions are still miles wide of the mark though. The first crucial phrase is this, used by you: "The average amount of water vapor depends on temperature." The second crucial point is that the average amount of water vapour in the atmosphere responds very quickly to temperature change, through evaporation and precipitation, also elucidated by you. Therefore something else must force the temperature in order to keep the water vapour in the air. Water vapour alone does not do it as, alone, eventually it finds a place to freeze and increase albedo (Lacis et al 2010). Orbital forcing can change temperatures locally, thus changing water vapour locally, much as excellently described by Michael Whittmore in #109. But this is still not enough forcing to get us out of an ice age. CO2 can change WV levels globally as it is non-precipitable and well-mixed. Michael Whittmore's excellent #109 (as well as the OP of course) describes succinctly the pattern of events leading to global warming at the end of the ice age. Perhaps you would care to explain where he is wrong, and how a variable that is locally effective on timescales of a week or two can be globally effective for century-scale warming (deglaciation or current)?
  21. Shakun et al. Clarify the CO2-Temperature Lag
    William Haas's comment at 113 is correct in every detail. It is also correct that thetotal increase in contribution to the Green House Effect from water vapour between the Last Glacial Maximum and the Holocene is greater than the equivalent increase for CO2, or indeed for all well mixed Green House Gases. It is important that we recognize where William is right, even though we think he takes those correct premises and goes of to a completely wrong conclusion. To be clear, what Haas has stated at 113 is that Water Vapour was a significant short term feedback on the milankovitch cycle effects at the initiation glacial to interglacial transition, and that that feedback strengthened the response. Indeed, the WV feedback strengthened the original response by a factor between 2 and 4. Unfortunately, Haas has been arguing that "...starting with an ice aged earth, H2O would dominate any green house gas triggering effects." However, as he states in 113:
    "Water vapor amounts in the atmosphere vary from day to day and water leaves the atmosphere through condensation but it is quickly replaced through vaporization or sublimation. Water takes up additional heat when it melts, vaporizes, or sublimes, but then it releases that heat when it condenses or freezes."
    What he needs to recognize is that the same thing applies on the other side of the equation as well. If the WV content of the atmosphere exceeds the equilibrium level for temperature, it quickly precipitates out, so for time scales of a year or more it can be always assumed to be in equilibrium for the temperature and conditions. Consequently, the initial and significant response of the WV feedback could not have led to ongoing warming by itself. Its full effect, if no other factors were brought into play, would have been worked out within a century or so at most. Consequently, without the intervention of other factors, the WV feedback alone could not have lead to continuing warming centuries after the initial trigger. IMO, Haas needs to clearly state whether he agrees with, or disagrees with the last (and bolded) sentence. If he agrees, we have then just simply misunderstood what he has been trying to say. If he disagrees, he needs to clearly state why a factor which equilibriates over mere days can still be driving ongoing warming thousands of years later. Certainly nothing he has said in 113 suggests that it would. Of course, from the basis of the consensus on climate science, there is no issue here. WV is a strong short term feedback, but the long term increase in temperature from LGM to Holocene was driven by the far more stable factors of ice sheet melt and increased CO2 and CH4 concentrations. Because CO2 and ice sheets take thousands of years to equilibriate with temperature, there is no issue as to why they are able to drive warming over the long term. And because they are the long term drivers, they explain the transition in a way that WV cannot, even though WV contributed more to the change in the total GHE.
  22. Shakun et al. Clarify the CO2-Temperature Lag
    If water vapor could magically increase as a volume percentage of the atmosphere, and stay at those elevated levels over centuries... then it could be a forcing factor. As it stands, it is not a forcing factor... it is an amplifier, because it cannot and does not go into the atmosphere and stay there on its own. It must have "something" that acts to heat the atmosphere and keep it heated. The only thing that can do that is the interaction between increased insolation (the initial trigger) and subsequent enhancement and maintenance of increased CO2 levels. CO2 mixes and stays mixed for centuries. CO2 concentrations can be reduced via silicate weathering and photosynthesis + rapid burial of dead organic matter... but that process is much, much slower than the introduction and mixing of CO2 due to increased temperatures. Increased levels of H2O cannot cause global warming because they require the warming to exist beforehand. Once warming has started, the warmer atmosphere can then hold more H2O(v), and more H2O(v) is available due to enhanced evaporation, then it can begin to amplify already existing warming trends. Hence, H2O(v) is a feedback, not a driving force.
  23. Return to the Himalayas
    Steve Case avoided the crucial point, mentioned by KR in #36 and myself in #30. The problem is not about whether snow melts/sublimates quicker or slower than ice, the problem is the reliability of the runoff through the year. Some years will have lots of snow, and thus there will be snowmelt runoff throughout the year, whoopee... but other years will have relatively little snow, or the snow will be spread thinly, or for whatever reason will melt early in the dry season. What happens then? How many years will it take for the late-season lack of runoff to make a real mess of local agriculture? In places like the Himalayas, and elsewhere, the reliability of runoff is the absolutely crucial factor to agriculture, and that is where having a mass of glacier ice that will survive every summer, providing runoff through the year every year, is more valuable than relying on the vagiaries of annual snowfalls. Some years all the snow will melt and some of the stored glacier ice will melt too, other years not even all the snow will melt (so the glacier gains mass), but every single year there is runoff through the whole year.
  24. Eric (skeptic) at 09:50 AM on 18 April 2012
    Shakun et al. Clarify the CO2-Temperature Lag
    It is a sensible idea that water vapor increases can cause global warming. Water vapor increases from initial warming cannot possibly trigger runaway warming because water vapor is lighter than air. It rises, easily saturates, and condenses. There is no requirement that CO2 rise, although it rose later as an amplifier. Another thing to remember is that water vapor is very uneven during glacial periods with very dry continental interiors except for mountain ranges and glacier sources. See http://webster.eas.gatech.edu/Papers/Webster1978b.pdf for example. When the water vapor starts to even out due to Milankovitch forcing, then there is net global warming.
  25. Philippe Chantreau at 09:48 AM on 18 April 2012
    Return to the Himalayas
    Steve Case, your "crude" experiment is too crude to yield any useful result; whatever you observed while doing it can not be applied to this discussion. I don't know that it can be applied to anything. The snow and ice blocks are of different sizes and obviously different densities. What are the beginning and ending water masses for each? What are the surface to volume ratios for each? What results do you get if you start with identical masses (i.e. kg of water in snow form and 1 kg of water in ice form)? The angles of the pictures and the distance to the subjects are different for the before-melt and after-melt, and the blocks also appear to have been moved, as the background is not the same.
  26. Philippe Chantreau at 09:39 AM on 18 April 2012
    Shakun et al. Clarify the CO2-Temperature Lag
    William, I superficially read your posts so far. Can you clarify for me the following: are you making the argument that water vapor acts as a forcing when it is somehow injected in the atmosphere (whatever the mechanism)?
  27. Daniel Bailey at 09:16 AM on 18 April 2012
    Shakun et al. Clarify the CO2-Temperature Lag
    William, multiple people have engaged you multiple times in an attempt to correct your errors. You display no indication that you have read and understood their efforts. You are simply, fundamentally, wrong on the ability of water vapor to be a temperature forcing of climate in any capacity. Until you grasp the difference between the forcings and the feedbacks, you will not be able to overcome your block in this matter.
  28. Shakun et al. Clarify the CO2-Temperature Lag
    82 skywatcher We are talking about the first 2,500 years after the LGM. The article states that during that time 7% of the warm up that ended the ice age occoured but that atmospheric levels of CO2 did not increase. During that time water surfaces dominated the earth much as they do today and as they have for billions of years. During the ice age, ice sheets developed where there are none today but they did not cover the entire earth. Ice is also a water surface. Water molecules can pass directly from an ice surface into the atmosphere through sublimation. So plenty of water was available 19,000 years ago to pass into the atmosphere just as there is plenty of water available today. We are talking about climate. So the day to day levels do not matter, it is the average amount of water vapor in the atmosphere that matters. As average temperatures increase so will the average amount of water vapor. Water vapor is a green house gas and in fact it is the domanant green house gas. Just how dominiate water vapor is, is a matter debate, but from my reading, all who believe in the green house gas theory agree that water vapor is the green house gas that accounts for the most warming. The primary reason for this is that during at least modern times there is usually 100 times more water vapor in the atmosphere than there is CO2. The average amount of water vapor depends on temperature. If the average temperature increases so does the average amount of water vapor in the atmosphere. This idea is used in modern models of how CO2 contributes to global warming. Increased levels of CO2 traps more heat which raises temperatures. The rises in temperatures causes more water vapor to enter the atmosphere because higher temperatures increase the atmosphere's ability to hold more water vapor. The additional water vapor causes the atmosphere to trap even more heat. Because of this, water vapor is considered to be a positive feedback to the effect of adding more CO2 to the atmosphere. As such H2O amplifies the effect of increased levels of CO2 on global warming. I would think that most people on this site would understand that and for that matter even defend it. During the first 2,500 years since the LGM, CO2 levels did not rise but temperatures did rise. This is all according to the article. I am not desputing it nor am I making this up. The feeling is that Milankovitch forcing was the cause. To raise CO2 levels it takes more than just surface heating of the oceans to have any significant effect. Apparently it took 2,500 years for the Milankovitch forcing to heat a large enough volume of ocean water to effect global CO2 levels. But to increase average H2O levels in the atmosphere all that is needed is for the temperature of the atmosphere to increase. The article says that temperatures did increase during this period of time so that H2O levels must have increased and the increased levels of H2O must have added to the warming. If this is not the case then current models that predict that increased CO2 levels are warming the globe and that incorporate H2O related feedback and or amplification, must be all wrong. Water vapor amounts in the atmosphere vary from day to day and water leaves the atmosphere through condensation but it is quickly replaced through vaporization or sublimation. Water takes up additional heat when it melts, vaporizes, or sublimes, but then it releases that heat when it condenses or freezes. During the time I am talking about there was CO2 in the atmosphere but because it did not increase, its increase could not have contributed to global warming.
  29. Global Warming in a Nutshell
    davpat, KR answered your questions in #27, and Tom Curtis answered them again in #36. Tom also has a great post at this site on the greenhouse effect. I think you should take the discussion further at that post, if you are still confused. I found this review article an excellent introduction to the greenhouse effect. http://geosci.uchicago.edu/~rtp1/papers/PhysTodayRT2011.pdf
  30. First Look at HadCRUT4
    OK, I think I've got it. Here are the stations in that cell: 526520 389-1005 1483 ZHANG YE 19511988 101951 526570 382-1003 2789 QILIAN CHINA 19562007 301956 526810 387-1030 1367 MINQIN CHINA 19392010 101939 527540 373-1001 3302 GANGCA CHINA 19572007 301957 527650 374-1016 2682 HAO-MEN CHINA 19562007 301956 528560 363-1006 2743 GONGHE CHINA 19532007 301953 528660 366-1018 2262 XINING CHINA 19362011 301936 528680 360-1014 2072 HEY-IN CHINA 19562007 301956 528760 363-1029 1905 MINHE CHINA 19562007 301956 528890 361-1039 1517 LANZHOU CHINA 19322007 101932 529570 353-1007 3290 TONGDE CHINA 19542007 301954 But: Only one has data for the 2006-2010 period: XINING Only one has data for the 1996-2000 period: LANZHOU So we've got a break in continuity for cell reporting. The homogenisation algorithm would normally take care of this, but it is failing in this case. Why? Because XINING has data before 1996 and after 2000, with a big gap in the middle. I suspect that there are two different stations here which require different homogenisation offsets, but which are reporting as a single station. This is the sort of situation (fortunately rare) that the BEST scalpel algorithm is designed to address.
  31. kampmannpeine at 07:31 AM on 18 April 2012
    New research from last week 15/2012
    thanks for this beautiful anthology !
  32. First Look at HadCRUT4
    Peter H: Yes, interesting isn't it. I'm guessing those cells have only a single station in, and it is producing unrepresentative readings due to either local influences or a fault. I'll try and track down the China cell. CRUTEM3/4 reject stations which are more than 5 sigma from the cell mean, but that only works if there are at least 3 stations in the box. You can get an even clearer picture of the frequency or otherwise of unrepresentative stations with this applet from Nick Stokes, which shows a globe of anomalies for every weather station for November of last year. You can see a few which are obvious outliers - there's an obvious one in Romania (just West of the Black Sea).
  33. littlerobbergirl at 06:32 AM on 18 April 2012
    First Look at HadCRUT4
    Fig 3 says it all thanks dana i can stop trying to wonder about the wwii anomaly at least. Well done on the guardian comments on the 'joking' piece btw - up there with monbiot for the denyer response and post numbers :D
  34. actually thoughtful at 04:54 AM on 18 April 2012
    2012 SkS Weekly Digest #15
    The issue of this thread is subtle, in my opinion. For the last year or so, it seems SkS has taken direct aim at deniers, both scientists and non-scientists. There has been some good to come from that - the Pielke Sr. conversation was illuminating. I can quickly get Monckton rebuttals (although he rarely shows up in US discussions of climate change). But I think something has been lost as well - the positive focus on science has been reduced to accommodate the direct interaction with the deniers. We become, in the eyes of the world at large, just another WUWT - only with a different point of view. We are unwitting/unwilling partners in the deniers war on science - just by refuting them (at least directly). Perhaps adding a series just reviewing the science would help? Ari Jokimaki provides great summaries - perhaps one or more of those could be expanded into a full SkS post? Also, posts that tie current events into the discussion (like pointing out that a warm March in the US does not mean the entire globe is setting records (the "G" in AGW)) would be very helpful. Sadly, at this moment I can't volunteer to write the those articles, and I hasten to add this is the best site on the subject - by far - without any changes.
  35. Return to the Himalayas
    Snow is more susceptible to sublimation than thick glacier ice, so, other things being equal, a given mass of snow will contribute less to the runoff than the same mass of glacier ice. It's a question of how much surface area of the frozen water cystals is exposed to the air and direct sunlight. Anyone who has experienced a Chinook wind has seen snow disappear into thin air quite quickly, while any ice on the ground lingers longer. Some of the water vapor produced by sublimating snow will, of course, re-precipitate locally as rain or snow.
  36. First Look at HadCRUT4
    Re the animated gif, isn't that bright blue square in China odd as indeed are the red one in central Africa and a red square on the American west coast?
  37. Rob Honeycutt at 02:41 AM on 18 April 2012
    Return to the Himalayas
    It seems to me that California, where I live, can be a good case in point with regards to this subject. The SF Bay area's water supply, as well as farming in the central valley, are reliant upon the snow pack from the previous winter. That snow pack can be very different season to season. A year or two in succession with low snow pack can quickly deplete the bay area's reservoir systems and then we are subject to water rationing. If it were not for the reservoir system which buffers these swings we would have dramatic swings in water supply. Glaciers operate similarly to buffer the water supply to vast down stream populations (much greater than SF, by far). Currently the glaciers of the Himalayas act as reservoirs for those populations. There can be normal swings in the snow pack from season to season but overall they are going to have a constant supply of water because of the buffering effect of the glaciers. What we are doing with climate change is, we're effectively dismantling that glacial reservoir system, AND we are increasing the variability of season to season precipitation. The situation is clearly a looming crisis. I have no doubt that we have already committed to melting the Himalayan glaciers completely over the next 2-300 years. The only possible response will be to build a series of massive dams in those same basins to mimic what the glaciers naturally do.
  38. Daniel Bailey at 02:00 AM on 18 April 2012
    Return to the Himalayas
    This whole thread is getting quite off-topic and derailed. Steve's most recent comment being "case" in point. And subject to deletion as not being compliant with the posting policy of this site. Mauri sent me some info for a post on the Himalayan glaciers. I will try to put that into shape over the next few days to try to put to bed some of this nonsense.
  39. Return to the Himalayas
    Steve Case - Your point? My telepathy is in the shop, and your post is a bit content-light. Observations indicate less total snow volume, the temperature records clearly show warmer/earlier springs, and both are affecting spring/summer snowpacks feeding agriculture downhill.
  40. 2012 SkS Weekly Digest #15
    Re: Issue of the Week To me, accepting the realities of AGW comes about because I've taken the time to build up in my head a simple working model of how the Earth's climate works and how global temperatures are maintained. Having done that, everything new I read fits into place and makes sense. The problem of dealing with the 'don't knows' is that they don't carry this model around in their heads and so when they hear ridiculous denial claims -- which are often simple and (superficially) seem logical, they cannot apply them to any in-built model and thus see the flaws. A very basic example of this is the idea that global warming can actually produce a cold winter and/or a wet summer; which seems completely counter-intuitive unless you have the model in your head -- at which point it becomes logical. Another example is the one that leads people to say, "how can a trace non-toxic, seemingly inert, gas be harmful?" So to answer the question: the key requirement is to help people construct the model in their heads of how climate works and then how human actions are impacting on it. Of course, even more important, is how we generate the interest in people in order that they're driven to start creating this personal model. Without their personal model in place, you're just appealing for people to trust your expertise or judgement: which can work up to a point. But it can also break down once someone more charismatic comes along.
  41. Return to the Himalayas
    Steve Case - Sudden floods after rainfall are not helpful for agriculture, as most of the runoff is simply lost downstream. Steady water supply throughout the summers requires significant snowpack or glacier melt throughout the year. Declines in that late season water will affect huge agricultural areas. [Source]
  42. Return to the Himalayas
    Steve Case @34, you are quite correct that the flow of the river is a function of precipitation. Essentially, if all the precipitation is rainfall, it is a function of the average precipitation over the preceding week or so, with run off being delayed by vegetation. With very heavy precipitation, you get a greater proportion of run off, and hence a more immediate response to precipitation but the idea is valid. With snow pack, run off in the spring is a function of precipitation during the preceding winter, plus the precipitation during spring. In most river systems, by summer most of the snow will have melted, so river flow will be a function of summer rainfall. With glaciers, runoff is a function of precipitation averaged over several preceding years or even decades. Consequently, where you have heavy winter precipitation and light summer and spring precipitation, if precipitation is as rain, you will have flooding in winter, while in spring and summer the river will run low. With snow pack fed rivers, you will instead have flooding in spring, with winter and summer river levels being low. While with glacier fed rivers you will have near constant river flows throughout the year, with a peak in summer due to the faster rate of melting with summer temperatures. Specific situations will of course vary based on specific details of geography and meteorology in the area; but the basic pattern will hold. Packed snow is known to be permeable to air, both from the well known survival trick of burying yourself in snow to stay warm. If the snow was not permeable, that would not be a survival trick, but an invitation to death by suffocation. Further, studies related to measuring the trapped atmosphere in ice cores have measured the permeability of the firn to air, and found it is still permeable for up to 100 years (in the case of the South Pole). How quickly it becomes impermeable will depend on the rate of deposition of new snow, and hence the rate of compression of the firn, but periods in excess of 30 years are still common even in areas of very heavy deposition. Consequently the assumption that seasonal snow pack is still permeable to air is very safe. Finally, you say repeatedly that it will come down to the rate at which snow and ice melt. That formulation is, however, nonsensical. Snow is just a particular form of ice. What is relevant are the particular details of heat transfer, and how it effects the rate of ice melt given the different structure of snow and ice. Air is an excellent insulator. Consequently in cold weather, the many air spaces in snow will help insulate the inner layers from warming due to conduction or radiation on the outer layers. Without the air spaces, ice blocks have no such insulation. Consequently, in cold air conditions ice blocks heated by conduction or radiation will melt relatively faster. Against this, the snow has a larger surface area for a given mass which would encourage more rapid melting. Apparently in late winter and early spring with snow still on the ground, the balance of extra surface area vs better insulation is unfavourable for loosely packed snow, but favourable for densely packed snow. In April and May, however, the warmer air will penetrate the snow through those air gaps, hastening melt rather than retarding it. Consequently, if you carried out the same experiment in each month of the year, you would get different results in each month. And your experiment ignores the obvious facts that glaciers have a very large mass (and hence heat capacity) per unit surface area, while snow which is scattered thinly over the side of the mountain has a very large surface area per unit mass. If you are serious about your experimentation, you need to first control air temperature and mass and change surface area to see what effect that has. You then need to control for surface area and mass, and change air temperature and see what effect that has. Until you do so, your experiment is irrelevant, and certainly does not provide evidence that you can set against the observations of hydrologists on the actual impact of glaciers and snow packs of flow rates in rivers.
  43. Michael Whittemore at 00:34 AM on 18 April 2012
    New research from last week 15/2012
    I always dislike when people say that Al Gore was not telling the truth in his movie regarding high sea rise. He clearly explains that West Antarctica could rapidly melt and that Greenland could slip into the ocean. All I see in the peer review, is paper after paper of Greenland lakes disappearing and West Antarctica breaking up..
  44. Return to the Himalayas
    Tom, Over time, measured in years, the flow in the river of any watershed is a function of the precipitation that falls in that watershed. The presence of a glacier ultimately has nothing to do with it. If the glacier is advancing year to year, the flow will be less than precipitation. If it's receding, the flow will be more. If the glacier is static or there is no glacier then flow will the same as precipitation. Those four cases are all minus evaporation. Packed snow permeable to air? Well, that's an assertion. As I've said a few times now, this whole thing will revolve around the difference in melt rate between ice and snow.
  45. Return to the Himalayas
    Steve Case @33, you are ignoring the fact that snow pack comes in drifts of a few feet thick while glaciers are tens of meters thick. The result is that relative to snow pack, the glaciers have a much larger volume relative to surface area which accounts for their slow melt rate. I should also note that snow pack, even thickly packed snow is permeable to the air. That is of little consequence when air temperatures are below freezing, but for temperatures significantly above freezing, I strongly suspect it will result in the packed snow melting faster than the ice of the same mass.
  46. Return to the Himalayas
    skywatcher #30

    You wrote:

      ...The ice cube is a reservoir that lasts through the dry season, holding back the precipitation that fell earlier in the year and gradually releasing it through the dry season. Snowpack is a much weaker and less stable form of this, often diappearing quite quickly in the melting season ...

    I said in my first post that this discussion would boil down to the difference in melt rate between ice and snow. I've been making this argument on different boards for some time now and I always wind up dealing with assertions like yours above. Last year I even did some crude experimentation:



    I got an "It depends answer" Packed snow outlasted the ice and fluffy snow does not.

  47. 2012 SkS Weekly Digest #15
    LarryM: There's a trivial proof that climate is not chaotic, and indeed is predictable. Isaac Held's presentation is elegant.
  48. Global Warming in a Nutshell
    davpaf "doesn’t any material with a temperature above absolute zero, radiate heat?" A black body radiates following the Stefan-Bolzmann law. You need to multiply it by ε, the emissivity, for any real substance. If ε is zero, or in the frequency range where it is zero, so will be the radiation flux. Then the answer to your question is "more or less", depending on ε.
  49. Newcomers, Start Here
    Tom-Yes,thanks,I had already read Tamino's post.I thought that it could have been a bit more comprehensive,but maybe it doesn't really deserve that much attention.It does appear that the denial machine is making quite a bit of noise about it,so I thought more push back from the science side might be warranted.
  50. 2012 SkS Weekly Digest #15
    Alexandre @24, that a cooler object can contribute to the more rapid, or greater heating of a warmer object is one of the easiest home experiments you can conduct. It is in fact, as easy as putting on a lid: For an alternative take, we can check out Matt. To fully satisfy the "skeptics" we would need two thermometers, one in the water and one on the lid to show that the lid is cooler (the use of hands to determine temperature not being recommended). I discuss the relevance, and other examples here. This experiment has additional benefits. It teaches you how to save water, money and CO2 emissions.

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