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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 29901 to 29950:

  1. The global warming 'pause' is more politics than science

    PhilippeChantreau,

    Of course you are correct.

    The comment policies here prevent me from saying what I really think, but I wonder if climate scientists and reasonable people everywhere have been too tolerant of this nonsense. I accept that some people are truly stupid enough to fall for the "since-1998" line, and I see that there is a need to provide outreach education to those who are genuinely confused, but I suspect that true confusion on the issue is relativey rare. I do not believe the "since-1998" line can be promoted in good faith by people capable of forming a paragraph of reasonable-sounding prose that includes the words "significance" and "trend". There can be no reasonable grounds for making an argument based on the lack of significance of a trend from that obviously outlying year, and only cynicism, cognitive dissonance or a reckless desire to score cheap debating points divorced from scientific reality can explain how commonly the argument is aired.

    I cannot think of a single case where someone has raised the "since-1998" line, stayed around long enough to get educated, and subsequently made a useful contribution to the "debate". To me it is almost invariably a marker of bad faith, and I know as soon as a poster raises it that I am unlikely to see them follow it up with anything worthwhile.

    I have been wondering if Climate Science needs its own version of Godwin's Law, where the first person to raise the "since-1998" nonsense can be declared the loser without further discussion. I know that would raise its own problems, and we need some way for the genuinely confused to be pointed in the right direction, but it is painful to see the discussion dragged down to this level so regularly.

    Regards,

    Leto.

  2. PhilippeChantreau at 23:18 PM on 9 April 2015
    The global warming 'pause' is more politics than science

    MatinG is looking at a "trend" starting from the whopper El-Nino year of 1998, and of course the trend is lower starting that year. How about the warming from 1999 Martin? Or from 1997? Or 1996? The fake skeptics have literally done this for years now. What's really happening is, as years that are on par with 1998 pile up in the absence of El-ninos, we see the new normal: year after year near or above 1998 temperature in spite of numerous cooling influences, especially a sun delivering less irradiance than back then.

  3. The global warming 'pause' is more politics than science

    @6, it is non-incompetent propaganda admitting that industrial upheaval(aka "a period of consolidation") is underway: the long expected resource bottlenecks are being exploited as we speak!

     Basically blue-chip shares are working out how to stay blue-chip shares... delay delay delay!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

    Moderator Response:

    [RH] Please tone it down.

  4. Matt Ridley is wrong again on fossil fuels

    Is there a reason my comment on this post, left last week, was not published? While it was critical of Matt Ridley, it was not ad hominem. Nor was it off-topic, and nor (I believe) was it poorly written.

    Just asking.

    Moderator Response:

    [JH] Our inventory of deleted posts does not include any from you.

  5. The global warming 'pause' is more politics than science

    Oops, the 2000's were 0.564, 0.170 higher than the 90's. Typo.

  6. The global warming 'pause' is more politics than science

    Why are people so concerned about the last 17 years? It seems like a rather odd time frame, compared to say, decades, or 5 years increments, or a moving average of some sort. Are they concerned about the possible effect of climate change on the cicadas? When I look at the average global temperature anomalies for each decade I don't see anything like a pause.

    1970's: 0.067, 0,026 higher than the 60's

    1980's: 0.231, 0.164 higher than the 70's

    1990's: 0.394, 0.163 higher than the 80's

    2000's: 0.594, 0.170 higher than the 90's

    (All data from NASA)

    I'm pretty sure than when we get to 2020, the 2010's decade will show a similar increase in global average temperature anomaly.

    They aren't picking a 17 year time frame because they are just cherry picking convenient dates that appear to support their claims, right?

  7. Models are unreliable

    Rhoowl wrote: "The one post I had which is no longer visible..."

    Actually, it's still visible. You just posted it to a different thread.

    Yes, the 'gap' between 11.5 meters near maximum (upper 5% uncertainty band) sea level rise assuming the RCP8.5 emissions scenario and 0.13 meters near minimum (lower 5% uncertainty band) on the RCP3PD emissions scenario is big. However, it is not any kind of "error"... because you are looking at two different things. You might as well argue that weather models are useless for predicting the next day's temperature because they show a maximum daily temp of 90 F in Atlanta vs a minimum daily temp of 10 F in Nome... what a "big error"!

  8. The global warming 'pause' is more politics than science

    MartinG wrote: "...but it also shows that there has been no significant warming over the last 17 years (1998 to 2015) - so the statement is in fact accurate, and your point completely invalid."

    There has been no statistically significant warming of the global lower atmosphere in the past five minutes.

    That statement is true. However, it is not a 'valid' argument. The '17 years' statement, if the appropriate qualifiers (e.g. 'statistically significant' & 'lower atmosphere') were included, would also be true, but invalid for exactly the same reasons. If you can't understand the difference you should probably read Dana's article again.

    Any statistician who is not a complete fraud will tell you that if shifting the end points a few units radically changes the trend then you are looking at too small an interval to establish a valid trend. Whether that interval is 17 years or 5 minutes doesn't matter... you're basing conclusions on a mathematically meaningless result.

  9. The history of emissions and the Great Acceleration

    I'm sorry, what was the definition of "eons" again- it would appear the skeptical science website forgot to include it in its list of vocabulary...

  10. The history of emissions and the Great Acceleration

    There have been emission and absorption of CO2 for eons. They were roughly in balance until industialization caused a rapid increase in the amount in which emissions have exceeded absorption. Focussing just on emissions as in this article is misleading. The figures provided are very useful if viewed in context.

  11. The global warming 'pause' is more politics than science

    Dana, I understand that your trademark is to be in the vanguard og the AGW movement, but if you are hoping that we will read your stuff, please be more precise, otherwise its too easy for sceptics to write you off as an uninformed propaganda source. Your monthly global Lower Troposphere v5.6 Anomaly that you link to does indeed show that there has been warming over the last two decades (1995 to 2015), but it also shows that there has been no significant warming over the last 17 years (1998 to 2015) - so the statement is in fact accurate, and your point completely invalid.

    Moderator Response:

    [DB] "there has been no significant warming over the last 17 years (1998 to 2015)"

    Please provide a citation for this claim.

  12. The global warming 'pause' is more politics than science

    In many ways having heat energy stored in the oceans is even worse than in the atmosphere. First of all, it is "out of sight, out of mind" making it harder to get political policy changes to reduce emissions. But another problem is that it stores the heat for much longer. Heat in the atmosphere has a chance to radiate away into space, but in the oceans it is trapped for a very long time so we can expect centuries of trouble. It also contributes to sea level rise by the expansion of water. Then that warmer water works its way under and around the floating and grounded ice shelves such as those in the West Antarctic, greatly increasing the chances that they will go unstable much sooner than they would otherwise.

    So no, the fact that the oceans are taking the heat and we don't experience so much of it where we live is not a good thing.

  13. Models are unreliable

    Rhoowl asked me "TD what type of standards do you design to and what type of safety factors."  The answers are NASA standards for mission operations software for JSC to monitor the ISS, Orion, and other vehicles; for mission ops software for JPL to monitor their uncrewed large and small spacecraft including Mars rovers; for ARC nanosat spacecraft flight software and hardware; for rocket guidance, navigation, and control software-hardware packages; for an assortment of hardware-software payloads for an assortment of spacecraft being produced and launched by an assortment of international organizations; and for autonomous aerial drones ground-plus-flight hardware and software.

    But I suspect you asked because you believe there are a few books of acceptable risks probabilities to which engineers turn.  There is a smattering of such numbers, mostly for small subsystems, and mostly for hardware, but even for those, fundamentally it all comes down to subjective human judgment of acceptable risks for each situation by not just the engineers but the other stakeholders in the project, as I described earlier.  The most important design standards for risk are standards for process--for how those design judgments are made, and then how the implementations and testings of those designs and implementations are done.

  14. Models are unreliable

    Rhoowl, climate modeling is fairly tightly bounded over climate-scale periods. There is no physical reason--barring extremely unusual heavy, persistent volcanic activity or a massive drop in insolation--why the long-term trend should not continue as it has done for the last fifty years and, in fact, increase. On the decadal scale and at medium or high spatial resolution, climate (or, rather, weather) is very complicated, noisy. On the multidecadal scale and at low resolution, the internal variation can be accounted for, and the primary forcings and feedbacks dominate the trend.

    Baseball is a good analogy. Given that a team's talent stays generally consistent, projecting the team's chances at the playoffs is pretty easy. However, take any two-week period in the season, and the team's success might not be evident whatsoever--short-term injuries, bad calls, distractions, slumps, etc. It's that "given" that's key. We understand the major "givens" for climate. Indeed, an overwhelming majority of the uncertainty lies in the human response.

    We understand the physics well enough. We don't understand the human response. Yet we don't have time to wait for a better understanding of the human emissions pathway. Even if we go to zero emissions tomorrow, we're still looking at a major response from the ice sheets (among many other sub-systems) as they come to equilibrium with the elevated level of forcing. Atmospheric CO2 doesn't just return to pre-industrial once we zero our emissions, and it is extremely unlikely that we'll zero emissions anytime soon.

  15. Models are unreliable

    If you are in a low lying city and wondering about building sea walls, then you have two level of uncertainty. One is range of error in a model scenario but far harder is guessing what humans will do about reducing emissions. If you are forced to make the assumption that no political will to tackle the problem exists, then you must use the range of sea level rise values for the upper RCPs. ie 0.81-1.65 in latest papers. A cautious engineer would be going for the larger number at least because sealevel rise doesnt magically stop in 2100.

    Unfortunately. sealevel rise has yet another level of uncertainty. The GCMs tell you climate (with a range of uncertainty), but another set of models have to come into play to convert that climate into a rate of ice sheet collapse. This is not a well understood problem and is the major source of the wide range in the numbers.

    In my opinion, uncertainty is not your friend. The prudent response is to reduce emissions as fast as it can possibly be done.

  16. Glenn Tamblyn at 13:27 PM on 9 April 2015
    The history of emissions and the Great Acceleration

    tcflood

    You might also look at the AR5 WG1 Technical Summary here. Figure TFE.8 Figure 1 on page 104 - it's a bit big to reproduce here.

    Based on percentages of models used 50% comes in at around 800 gTonne carbon cumulative. And we are at around 500 GTonne at present so 300 to go. To convert to GTonne CO2 multiply by 3.67 which gives around 2900 GTonnes CO2 total.

    90% and the limit comes down to only 650 GTonne C - 150 to go.

    At around 10 GTonnes C/yr at present that means 15-30 years, and we blow the budget. Shorter if emission rates keep climbing.

  17. Models are unreliable

    Rhoowl: The Dutch, who know something about protecting their land from the sea, do not seem to be waiting for futher refinement of Global Climate Models to take action. For example, see the City of Rotterdam's  Climate Proof: Adaptation Programme adopted in 2009. 

  18. The history of emissions and the Great Acceleration

    Andy,

    There was no subtle message in my comment about not being specific. I am struggling with the right tone to take and how much to say in public presentations. Any advice you can give me would be welcome.

    I like you presentation and found it helpful and informative.

  19. The history of emissions and the Great Acceleration

    No, I wasn't being deliberately vague. The pace of emissions reduction and the right target to aim for wasn't really the point of the post. It just struck me that the future pace that we have to reduce emissions is roughly a mirror of the history of the Great Acceleration. 

  20. Models are unreliable

    BOzza wind is a part of the design....Theier a very specific design standards in that regards.....Including standard design to wind tunnel testing. This area has been heavily researched. But again....the only time I hear about failures are due to extreme force events..ie hurricanes, tornados etc. the wind code didn't get very stringent until after hurricane Andrew. Buildings built before then didn't all have the necessary shear elements and hold downs. The design process evolved over centuries of construction. Like climate modeling is still in its infancy. Over time you will see the models refine to produce more accurate results. 

    TD what type of standards do you design to and what type of safety factors

  21. Models are unreliable

    " So having a range if sea level rise would not be usefull. You need to know what it is."

    There are needs and then there are wants...

    Let's compare and contrast this with wind loading: uncertainty abounds and engineers deal with it all the time unlike you suggest!

  22. Models are unreliable

    Rhoowl, you are incorrect that "engineers" in the sense of all engineers, use an acceptable risk of failure of "about 1 in 10,000."  Perhaps that is true in the very narrow particular engineering field in which you have spent your career, but that absolutely is not a universal rule; it's not even a general guideline.  Risk tolerance depends entirely on the particular situation.  In my field of spacecraft design, for example, the risk tolerance differs from one spacecraft to another, from one type of risk to another, on the timeframe and other circumstances, and always depends on costs (money, time, labor) for lowering the risk and for dealing with consequences if the bad thing happens.  For example, a nanosatellite usually needs to be cheap and fast to develop and launch, so usually the risk of total failure is higher than for big spacecraft, because the funders are not williing to spend enough resources to lower the risk further.  For any spacecraft, tolerance for spacecraft failure is lower before the primary mission is accomplished, and higher after that.  Much lower risk is tolerated for spacecraft that put human health and life at risk than for mere property risk.

    When engineers chose how high to make a seawall, you are correct that they must design to a particular, target, level of sea level.  But that particular level is dictated to them by people who take into account the full range of all I've written about, including the range of probabilities of various levels of sea level rise.

  23. The global warming 'pause' is more politics than science

    @ John Hartz The comments are at least as illuminating :)

    Another here, a repost from The Conversation, the comments are more illuminating than the article.

    http://www.theland.com.au/news/agriculture/general/weather/how-warming-could-change-your-town/2728721.aspx

    Moderator Response:

    [JH] Link activated.

  24. The history of emissions and the Great Acceleration

    Andy; Thanks for your response. I forgot to mention that I had also checked out the Synthesis Report. I did see this diagram.  To correct one comment I made above, the statement I have seen in several places is that we need to limit emissions to 2,900 Gtonnes of CO2 (not 450 ppm).  

    General audiences want to hear something specific about what percent we need to cut back on, say, use of coal each year to stay under the famous 2C increase. Diagrams such as that above seem to suggest that, given the dominant politics in the U.S. and Australia, for example, we are already way past 2C (assuming that the TCR used turns out to be anywhere near correct).  Maybe there is good reason not to be too specific in presentations so as to not discourage people to the point that they choose denial. 

  25. Models are unreliable

    I need to explain something about design. Engineers use an acceptable risk of failure about 1 in 10,000. That's a high standard. Failures can be catastrophic. We absolutely need to know the design parameters within 20 percent. We have safety factors. they range from 1.5 to 4. Something like a sea wall would have overturning sf of 1.5. there would also be free board distance from top of wall to water. Not more than two feet. If the wall gets breached there's a high risk of failure. Water washes out the toe resulting in loss of stability. This is why getting the parameters correct is so important.  So having a range if sea level rise would not be usefull. You need to know what it is.

    Moderator Response:

    [JH] Is English your first language?

  26. Rob Honeycutt at 09:30 AM on 9 April 2015
    Models are unreliable

    Rhool... Modelers' time is most certainly valuable, but I think you'd find that many of them would consider explaining their work to be a valuable use of their time. It just requires an open mind and a willingness to learn.

  27. Models are unreliable

    I'm typing this on an Ipad please forgive some of the English it's the spell checker messing some of it up

  28. Models are unreliable

    JH yes the range of estimates are different scenarios....each scenario had an error. The error equates to a diferrent level of sea level rise. 

    RH someday an engineer is going to ba asked to design these systems based on the models. when that occurs they they will ask some of the questions I am posing here. I'm not sure that an climate would want to speak me to about these questions. I would respect that their time is valuable. 

    CBD iposted the graph one of the more extreme scenarios showed 4c warming with 2.4 to 6.4 I believe error. With the way China and India are building coal plants is this implausible scenario? The one post I had which is no longer visible shoe Sea level rise with the worst case bing 11.5m....this probably corresponds to the 6.4 scenario. The 2.3 scenariio should be in the 5m range based on the 2m/degree C value given. That's a pretty big error 

    Scaddenp I never made any claims about inputs except that I tbought the modellers were entering the best figures. Although the scenarios listed deal with the inputs.....but that's another matter which complicates the design process. 

  29. The history of emissions and the Great Acceleration

    tcflood

    I can't give you all the info you ask for, but I based that comment on graphs like this. (From here)

    The concentrations are next to the little ellipses.

    Of course, the exact amount of CO2 concentration (and note that the IPCC concentrations are CO2eq figures, so they include the other GHGs) that will cause 2 degrees C warming will depend on climate sensitivities, so there's considerable uncertainty. It also depends on the probability of exceeding 2 degrees that we deem acceptable as a risk.

    I just meant 450ppm as a rough target. Some scientists far more qualified than me consider 350 to be the safe limit.

  30. The history of emissions and the Great Acceleration

    Andy; In your last paragraph before the summary, you comment that we will need to stay below 450 ppm to stay under a 2 C increase. Where can I find he closest thing to a primary reference that discusses the assumptions (assumed transient climate response, rate of decrease of CO2 emissions needed, etc.) in this widely repeated statement? I've tried to find it in the AR5WGI technical report and it's summaries and the summaries for WG's II and III, but I can't find it there in explicit form. Probably I've just missed it.  

    I'd like to prepare a nice clean, concise summary for presentations of at least one scenario of exactly what society would need to do to meet the gaol of a 2 C limit, given some explicit assumptions about the science.

  31. Rob Honeycutt at 06:37 AM on 9 April 2015
    2015 SkS Weekly Digest #12

    william...  Damns, whether man-made or erected by industrious little critters [redundant statement?], need water. We've had very little precipitation for several seasons now. More damns can't fix that.

  32. 2015 SkS Weekly Digest #12

    There is a solution to the decrease in the snow pack that provides California with her water.  The Beaver.  The beaver does the same thing as a snow pack.  It shifts water from when it falls and is not needed (winter) to when it is not falling and is needed (summer).  Californians should wake up and get absolutely fanatic about having beavers in the catchments of all their streams.

    http://mtkass.blogspot.co.nz/2007/07/canadian-beaver-pest-or-benefactor.html

    http://mtkass.blogspot.co.nz/2011/05/erics-beavers.html

    http://mtkass.blogspot.co.nz/2014/06/the-tay-beavers-of-scotland.html

  33. The history of emissions and the Great Acceleration

    @2, JJA: Your link seems to be unsupported, its just a link to a blog, but to be fair I will look at it. My reaction to your post is not good. I feel that this is an exaggeration of data, and thus the interpretation is too dire.

    We can fix the problem, but we must look at it realistically, not too rosy, not too bleak.
    I'm not certain how bad the extinction factor will be, but we will get a handle on both global warming and cooling, Sea Level Rise, and CO2 concentrations. Extinction damage is just a matter of how long it takes us to take on the problem on scale.

    My sense is that we in the US are coming around to reality, then we will act. Canada and Australia seemed to be ahead, but they now seem to be headed into the denial tunnel, which we are coming out of, the Brits Euros are already on the other side. 

    This wonderful summary of the panorama of our use of the ocean/atmosphere/biosphere system fails to acknowledge that the great acceleration in use parallels the acceleration of wealth creation, including the taming of human population growth as a product of increased wealth, health, and knowledge. Thus it obscures the necessary solution: benign energy production to continue the great acceleration.   

  34. Models are unreliable

    "please site some data backing your claim". Certainly, but which claim? That monthly temperature for a station can be estimated accurately? Or that climate model is boundary value model not initial value model. Or that difference between summer and winter is due to differing energy input? Or which claim? As to sealevel - well in your model you should be able to use it to give response to given storm event. Ie the rainfall for a storm event is an input. I would expect that you could use it to give a range of response to different sized storm events. The sealevel estimates you are looking at are just that - range of estimates for different emission scenarios. Each scenario has its own error estimate but dont confuse the range for different scenarios with error. Climate models certainly do not predict what humans will emit in the future.

  35. The global warming 'pause' is more politics than science

    Recommended supplemental reading:

    Global warming hiatus explained and it's not good news by Graham Readfearn, ABC Environment, Apr 8, 2015

  36. The history of emissions and the Great Acceleration

    shaileshrao:

    There are some answers to your question in Howard Lee's post of several weeks ago:

    When did humans start affecting the climate?

  37. Models are unreliable

    Moderation Request

    Please do not respond to future posts by Rhoowl until a Moderator has had a chance to review them. He/she is skating on the thin ice of posting nonsense.  

  38. michael sweet at 02:22 AM on 9 April 2015
    Models are unreliable

    Rhoowl,

    Real Climate is a blog written by climate scientists.  The main organizer is Gavin Schmidt who is a climate modeler.  They have a lot of background information and old posts that explain all your questions.  Perhaps if you read some posts there you would begin to understand how climate models work.

  39. Rob Honeycutt at 01:30 AM on 9 April 2015
    Models are unreliable

    Rhoowl... I don't want to dogpile here, but I'd like to renew my first question.

    If this is a related area of expertise for you, why would you not attempt to engage with people who are actively working with climate models in order to better understand what they're doing? Why are you engaging on SkS instead of talking with someone who builds climate models?

    The best I can tell from your comments here, you have a misguided expectation of what climate models are intended to accomplish. But instead of attempting to better understand the matter you're tossing out the entire field of research, deeming it an impossible task.

    Not fully understanding something, even for an expert, is no big deal. Most of us are experts in something, and we are all ignorant of the things which we haven't yet learned. But it's not acceptable to be ignorant of something and refuse to learn what other experts already understand. If you actually have the expertise you claim, there is absolutely no excuse for not contacting a professional climate modeler and asking questions.

    [I emphasis "if" here because I have a very hard time fathoming why someone with 40 years experience would not first do exactly what I'm suggesting long before posting on this website.]

  40. Sea level rise predictions are exaggerated

    Rhoowl - Do you understand the difference between different emissions scenarios and the uncertainties (including modeled natural variation) for a single scenario? Your comment seems to indicate that you do not. 

  41. Sea level rise predictions are exaggerated

    Rhoowl, assuming that this is in response to my comment here, given those specific values you are presumably referring to 'table 2' in the basic version of the article above. Of course, that table shows those two values as sea level rise by 2500 for two completely different emissions scenarios at opposite extremes of the uncertainty ranges... do you not have any idea what you are talking about here? Because that's the most charitable explanation I can think of for such a blatantly ridiculous argument.

  42. The history of emissions and the Great Acceleration

    Thank you for this excellent summary. I have a question:

    What is an estimate of the CO2 emissions due to land use changes from the start of the agricultural revolution, say 8000BC to 1750?

    The vast desert that extends from the west end of Africa as the Sahara all the way into India as the Thar desert and into China as the Gobi desert filled with the artifacts of the Egyptian, Sumerian, Babylonian, Persian, Indus Valley and Chinese civilizations, to name a few, tells the story of significant land use changes during that period.

  43. Sea level rise predictions are exaggerated

    http://www.skepticalscience.com/sea-level-rise-predictions.htm 

    sorry....0.13 meters to 11.5 meters....so 35 feet...

    Moderator Response:

    [JH] Link activated.

  44. Models are unreliable

    Rhoowl, please cite the actual sea level rise estimates you are referring to. Are they for the same timeframes? Do they assume the same future emissions paths?

    Your claim that there is "huge error" in the modeled range of sea level rise is a provable position... all you need to do is cite the actual source of the estimates ("from 10 inches ... to 20 ft."). You're right... that'd be a huge uncertainty range for a single set of assumptions. So go ahead, cite the source and prove your point.

  45. Models are unreliable

    Scaddenp

    please site some data backing your claim.....the program I use are not predicting anything that can not be predicted..... 

    i will ill give you a real world example of the climate Model 

    climate models lead to a  prediction that sea level will rise from 10 inches to Ive heard some estimates to 20 ft. This is based on the temperature increase. That's a huge error....l 

    i have to design a sea wall around NYC to prevent losS of the city. Which value to you choose. The 10 inch sea wall will cost about 100million.

    20 ft will cost 100 billion....probably not too far off with those figures Loss of the city... 2 trillion.  

    We we know sea level was about 250 ft higher than now in the past. So the 20 ft is not unreasonable.  

    Which model do do you choose

    Moderator Response:

    [JH] A range of estimates for differing scenarios do not equate to "error".

  46. 2015 SkS Weekly Digest #14

    You certainly have heard about new paper about AMOC slowdown by Stefan Rahmstorf et al. No free full text but plenty of comments on RealClimate.org and in popular press (e.g. linked to from Mike Mann's facebook).

    But did you hear about Steve McIntyre's Blunter on the subject? Worth reading, just to haver a good laugh. While trying to critique said paper, Steve confused δ15N, a proxy for water mass movement, with a proxy for temperature. Subsequently, Steve's entire critique turned invalid nonsense.

  47. Models are unreliable

    Rhoowl, you might also like to consider why there isnt a weather forecast that is going to predict the temperature on say June 25th 2015, let alone Dec 22nd 2015. However, several methods will give you quite accurate predictions for the June average monthly temperature and the December average monthy temperature. Ie. no amount of chaos in weather systems is going to change summer into winter. Summer is different from winter because the energy balance in temperate regions is so different. Adding CO2 is same effect on a global scale.

  48. Models are unreliable

    Rhoowl, instead of watching some video, try reading the detail. What you are doing is projecting what you know from hydrology model into a supposed knowledge of how climate models work from simplistic information. It seems to me that what your hydrology models have in common with weather models, is that they are both initial value problems. Climate is not. That is the point both I and Glenn are trying to make. Your 4 points are based around a misunderstanding of the models essentially. The IPCC chapters on modelling are a far better starting point then some video. We are doing our best to point you to useful information which is rather more than can stuffed into a comment reply. Now if you are going to stand by your original suppositions rather than learn new information, I dont think there is much point in continuing the discussion.

  49. A revealing interview with top contrarian climate scientists

    @CBDunkerson, I haven't said that Dana's quote was wrong. I was trying to say that Dana missed Christy's misrepresentation when he tried to debunk it. Simple check would suffice. His answer doesn't:

    "only 13% of participants described climate science as their field of expertise"

    But if you filter out all the participants that are not active climatologist, you still get "only" 78%, which is still quite a long way to oft-quoted 97%. So 150 vs. 50 years is actually very important.

  50. Models are unreliable

    Tom Curtis......please run a calculation based on the table for the error in the model and present it here

     

    Glenn tamblyn similar is a relative term.....ie those two are a lot more similar than say a models that attempts to predict the behavior of atoms...please direct arguments to the 4 items listed in the original posts. Disprove the statements directly

     

    hydrology has nothing to do with weather. It's purpose is to calculate quantities of water and the ability of a system to convey the water

     

    i was watching a video of how the climate models work By a scientist who uses them. He described the math of the model and basic parameters that are used for the model. He discussed how he arrived at values for the Parameters. His method was no different than anything I do to arrive at parameters for the models I operate.

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