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Comments 45551 to 45600:

  1. The last time carbon dioxide concentrations were around 400ppm: a snapshot from Arctic Siberia

    Why CO2 is a greenhouse gas while CO and N2 are not?

     

    Why is H2O a GHG while H and O are not?  back to class.

  2. The anthropogenic global warming rate: Is it steady for the last 100 years? Part 2.

    Jason: Yes, we're discussing it here.

  3. The evidence for climate change WITHOUT computer models or the IPCC

    Tom: When you reduce the fitting period, the model is only fitted to observations in the fitting period (the thick part of the obs line). The R2 is based only on these observations. However having determined the parameters of the model I go back and recalculate the fitted temps using the forcings for the whole period, thus the model is extended to cover the whole period, predicting values which were not used in fitting the model. That means you can do a visual 'hold-out' test, to determine the skill of the model in predicting temperatures it has never seen.

    Strictly you should also re-optimise the time coefficients of the exponentials when you do change the fit period. One day I may get round to automating this in the Javascript version.

  4. The evidence for climate change WITHOUT computer models or the IPCC

    Bob: You really need about 70 years of data for the model to have any validity (i.e. change the second number but leave the first at 1880). Ideally those 70 years need a volcano and a significant change in a slower forcing. And then there are big caveats due to the uncertainty in the forcings - try double black carbon as per recent research and see what happens to TCR. So don't overinterpret this model.

    However I still maintain (along with Isaac Held) that it can be a useful check on your intuition. The interesting case is comparing 1880-1997 with 1880-2011. Including the extra years increases TCR in this model. Why?

    The years 1997-2011 have two features:

    1. They are all much hotter than the average over the whole period.

    2. There is comparatively little trend within that period.

    Somewhat simplified: TCR is related to changes over a period of 70 years or so. So the trend within a 15 year period has rather little 'leverage' to affect TCR. On the other hand, the huge difference between the last 15 years and the period 70 years before, so adding more hot years at the end has a lot of 'leverge' to affect TCR.

    In other words, adding more extreme hot years in a clump at the end tells us a lot more then the small variations within that clump.

  5. Glenn Tamblyn at 19:15 PM on 15 May 2013
    Leave It in the Ground, Climate Activists Demand

    Alex

    Although use of FFs in farming is a small part of total FF use, it is the truely hard one to deal with. That is another reason why hitting transport and electricity generation hard and fast in a conversion to non-FFs is so important - to leave room in our allowable carbon budget for the far more essential uses in agriculture.

    But not cutting FFs also constitutes a threat to agriculture as well. Yield declines due to warming are something we just can't afford. Even more worrying is what the impact of increases in climate variability. Which is worse, a 5% decline in global food yields that manifests as 6 years all at 95%, or a 5% decline that manifests as 5 years at 100% and one year at 70%? We don't have the food reserves to see us through a year of 70%. In scenario 1 we all tighten our belts. In scenario 2 10's of millions starve to death.

    We are facing a food supply crisis this century due to a multitude of factors. And we are in a double bind. Act hard on FFs to address climate change and food supply comes under pressure because the supports to it are taken away. Don't act on FFs and Climate Change puts food supply under pressure.

  6. The anthropogenic global warming rate: Is it steady for the last 100 years? Part 2.

    Kevin C @ 21,

    That is really very cool. I'm particularly intrigued by the fact that you can actually get a very good fit for the entire series using just the years 1880-1950 (R2 = 0.714) even without the post-WWII SST corrections in the temperature data.

    I'd say that "key comment from your article is overstated" is an understatement. :-)

    Also intriguing is that the improvement of the qualify of the fit in the last few decades has come as a result of increasing TCR: 

    End YearTCRR2
    20101.6750.925
    20001.6030.881
    19901.5330.827
    19801.5060.767
    19701.5680.757
    19601.4900.747
    19501.5740.714

    I presume that the change in TCR isn't statistically significant, due to the accuracy of the early data especially, but the fact that numerically it gets larger when we add the decade where warming supposedly "stalled" is telling...

  7. The anthropogenic global warming rate: Is it steady for the last 100 years? Part 2.

    KK Tung @26: 

    1)  The caption of Fig 3B of the PNAS paper  (ie, the "Fig 4" above) reads:

    "The CET AMO is compared with the AMO from the multiproxy data (12). The AMO Index (16) smoothed by locally weighted scatterplot smoothing (LOWESS) (19) is superimposed (in green). The LOWESS is a modified running-time mean, and its use allows the mean to extend to the beginning and end of the record. It uses quadratic fit to 25-y subintervals. It shows that the CET’s AMO agrees with the AMO Index and with the global mean after 1850 and agrees in phase with the multiproxy data in the preindustrial period."

    The periods of 50 to 90 year band signal of the multiproxy data (MBH 98 RPC5) from peak to peak are approximately, 72 years, 70 years, 110 years and 76 years.  There is no hint of the AMO switching to a 40 year period in the 1700s.  Now, if the AMO period switched to 40 years in 1700s, and there are no 40 year cycles in the multiproxy AMO signal, they do not agree "in phase" and the appearance that they do so is only a product of your filtering.  Hence, you cannot consistently claim both that the CET signal reflects the AMO in the 1700s and that MBH 98 RPC 5 is the AMO signal.

    That inconsistency leaves you with a small problem.  If you decide (reasonably given its low statistical significance) that MBH98 RPC 5 is not the AMO signal, then you are left struggling to explain why the AMO cannot be dectected in multi-proxy NH temperature reconstructions despite its purportedly dominating influence on NH temperatures in the twentieth century.  If, instead you decide to use MBH98 RPC5 as your AMO signal, your are left struggling to explain its low variance explained and why the AMO was so uninfluential CET temperatures over much of the historical period.

    2)  Allowing that the AMO switched to very short periods (around 25 years in the mid 1700s), you need to explain why the AMO appears only to have high amplitudes and an extended period durring periods of significant forcing (Maunder Minimum, 20th century).  Absent that explanation, the most conservative conclusion is that the extended AMO is a response to that forcing, either directly or indirectly.  In that case, the AMO may complicate the timing of the response to forcing, but is not an independant factor.

    3)  I regard with extreme skepticism such humpty-dumpty oscillations whose periods can be stretched like taffy to suit the convenience of the theoretician.   In science it is not a question of "which is to be master" but of what is observed.  More specifically, the theory of the AMO is that a quasi periodic oscillation exists in the Atlantic with a period of about 65 years.  Once that period can be stretched like taffy to fit any observation, you are merely defining the AMO into existence, not observing it.

    4)  Even if you present us with a theoretical justification for so extraordinarilly flexible an oscillation, which you have not, the mere fact of its fexibility reduces its the possibility of detecting it in that for a very flexible period (and amplitude) almost any observation can be made to fit the theory.  In short, I think your theory of the AMO has become unfalsifiable and hence devoid of empirical content.

  8. The evidence for climate change WITHOUT computer models or the IPCC

    Glenn Tamblyn @22, I used 4.57 billion years as the current age of the Sun, following Feulner 2012.  That dates "about 6% weaker", ie, 94% of current luminosity, to around 0.73 billion years ago (Gya) compared to your 0.75 Gya.  If Potholer was indeed referring to the Devon Island corals, the correct figure would have been about 3.8% weaker than today, but of course, those corals are not associated with the termination of a snoball Earth event.

  9. The anthropogenic global warming rate: Is it steady for the last 100 years? Part 2.

    In reply to post 20 by Tom Curtis: We had discussed in our paper why we chose the band 50-90 years and exclude the band around 40 years.  This was based on comparison with the global mean spectrum.  We believe the 40 year oscillation, while also a part of the AMO, does not have a global manifestation.  That is, it may have affected Atlantic and Europe, but not the Pacific.  During the middle cycle in the 1700s 1800s, the AMO's period switched to 40 years and only part of it remained in the 50-90 year part.

    No one is referring to the AMO as a sinusoidal oscillation with an unchanging amplitude and period.  It is only quasi-periodic. 

    Moderator Response:

    [Sph]  Date corrected as per KK Tung's later comment.

  10. The anthropogenic global warming rate: Is it steady for the last 100 years? Part 2.

    In reply to post 23 by KR: Figure 9.5 from AR4 is the figure that I often used to show that while the warming since midcentury has been simulated quite well, the early twentieth century warming has not been simulated.  Compare the slope of the red curve with the slope of the black curve. So far only HadGEM-ES has simulated the early twentieth century warming using forced solution by varying tropospheric aerosols, but it has other problems mentioned by zhang et al 2013.

  11. Schmitt and Happer manufacture doubt

    The biggest shame with all of this is that I was a kid in the 60s, and grew up in wonder of the space program, and idolised all the astronauts.

    And now I see that at least one of the people I idolised is - not too put to fine a point on it - a fool.

     

  12. Glenn Tamblyn at 12:49 PM on 15 May 2013
    The evidence for climate change WITHOUT computer models or the IPCC

    The formula for calculating the change in the Sun's Luinosity over time is

    L(t) = [1+ 2/5(1-T/To)]-1 Lo

    where the T is time from the birth of the sun. This will give you the luminosity change between any two points in time. The subscript 'o' is always the later of the two times. This is cited in Gough 1981, page 28

    So the value you get depends on what age you use for the Earth. The standard value is 4.7 billion years. So 94% gives us 750 million years ago, 95%, 618 million years ago.

    This is an increase of 40% since the birth of the Sun up to the present.

    Peter does say however that it was 'around 6%'.

  13. Rob Painting at 12:40 PM on 15 May 2013
    Another Piece of the Global Warming Puzzle - More Efficient Ocean Heat Uptake

    R Gates - short-term sea surface temperatures are a poor diagnostic tool for global warming because they are strongly influenced by natural variability. A key point in Figure 1 is that very little energy is being lost from the climate system - surface temperatures are cool because of a rearrangement of heat in the ocean. During the negative phase of the Pacific Decadal Oscillation, more warming goes into the deep ocean.

    If a significant portion of heat were being lost from the ocean, then it must warm surface air temperatures, before reaching the upper atmosphere and being radiated out to space. There is no way around that. That does not appear to have happened. The most likely scenario is that suggested by the climate model in Meehl (2011) & Meehl (2013) - the majority of this slowing of surface temperatures is due to natural variabilty (deep ocean warming) superimposed atop a long-term warming trend (greenhouse gas-induced warming of the surface ocean).

    As for your comment about the Pacific Ocean warming, not sure what you find so perplexing about that.    

  14. The evidence for climate change WITHOUT computer models or the IPCC

    Bob @20, when I use the model, it only allows for data up to 2010.  I also notice that when truncating the data from 2010 down to 1997, the Transient Climate Response (TCR) falls from 1.675 to 1.58, while the Coefficient of Determination (r2) falls from 0.925 to 0.86.  The later surprises me.  I also note that when the duration is reduced, the graphed observations are reduced, but the graphed model is not.  I am not sure whether that is a bug or a feature.

    The increase in TCR for the full 1880-2010 period is likely due to an acceleration of the underlying warmng rate due to anthropogenic factors.  That is, the underlying warming is increasing faster than would be expected just from the increase in GHGs and aerosols, etc.  This has been masked by a reduction in energy recieved from the Sun, along with transient effects such as ENSO and volcanoes.  

  15. The evidence for climate change WITHOUT computer models or the IPCC

    Kevin C @15

    I tried your model but with 1997-2011 there is a pop-up error message ("Insufficient data to fit").

    Warren didn't come back but I wondered if you wouldn't mind explaining the counter-intuitive result anyway.  I have always had a blind spot with statistics!

     

  16. The last time carbon dioxide concentrations were around 400ppm: a snapshot from Arctic Siberia

    Thanks Tom!  Well explained.

    - Phil in Colorado.

  17. The last time carbon dioxide concentrations were around 400ppm: a snapshot from Arctic Siberia

    yphilj @11, if we were miraculously to cease all CO2 emissions today, then the natural uptake of CO2 by the ocean and biosphere would reduce the atmospheric CO2 concentration to about 310 ppmv over the next few centuries.  That uptake reduction would exhaust all natural forms of CO2 uptake, so the CO2 concentration would then remain at that level for thousands of years thereafter.  As it would take thousands of years to melt all the ice necessary for a 40 meter sea level rise, we would in fact expect an overall increase in temperature relative to the pre-industrial similar to that which we are currently experiencing, and a sea level rise over many centuries of several meters.

    Such a miraculously rapid stop in emissions is, of course, impossible.  Plausibly, with rapid action now we could stop net emissions by 2050, with a total atmospheric increase to 450 ppmv, reducing to around 325 ppmv over a few centuries.  In that event, we would expect a temperature rise around 1 C over the pre-industrial with short term peaks potentially up to a degree above that.  That is certainly a survivable and achievable outcome.

    The risk is that we will do little or nothing, or merely stablize atmospheric CO2 levels by allowing residual emissions at a low level.   In that case, we are indeed looking at 40 meter sea level rises over a millenium or so, and temperature rises that will threaten to destroy our industrial civilization, with out which the human population will crash to a billion or less.

  18. The last time carbon dioxide concentrations were around 400ppm: a snapshot from Arctic Siberia

    Great information, though very bad news.  Does this paleo evidence imply that we are effectively locked in to 3-4 C degrees warming globally?  If so, what's the logical course of action?  Seemingly, even the most aggressive emission control initiatives, instantaneously put in place, would not stop the demise of civilization. 

  19. Leave It in the Ground, Climate Activists Demand

    Alex, I have only done the calculations for my own country (NZ) but it is heavily agriculturally based. Couple of points.

    1/ the amount of energy going into agriculture is relatively small (5.2% for NZ). If that was the only thing we used FF for, then it wouldn't be problem.

    2/ Providing for all current diesel use (farm and transport) could be done with biodiesel. Conventional methods would take 21% of agricultural land. However, there is a lot of work going into woody biofuel which could easily cover the requirement from marginal land instead.

    3/ FF (especially petroleum) are limited. You are going to have to get off them eventually anyway. If you really need petroleum to feed 9 million people, then people are going die. It doesnt take much restriction of supply for woody biofuel to be cheaper anyway.

     Remember that dealing with climate change is mostly about getting off coal. Petroleum is an incredibly useful and valuable resource and I think we are just squandering it. (Already have really).

  20. The last time carbon dioxide concentrations were around 400ppm: a snapshot from Arctic Siberia

    HJones - Not a problem; there's an amazing amount of junk including bad papers published in borderline journals floating around (such as Beck and E&E), and it's sometimes difficult to pick those out on first glance. They frequently get waved about to support bad arguments. 

    The appropriate and truly skeptical response to extraordinary data or conclusions is to check them out, which you did - my compliments. 

  21. The last time carbon dioxide concentrations were around 400ppm: a snapshot from Arctic Siberia

    All,

    Thanks.  I thought his paper was "submitted", and I assumed to be published soon.  I was wrong.  I thought it had a lot to do with altitude and am happy to see I was correct in that at least.

  22. The last time carbon dioxide concentrations were around 400ppm: a snapshot from Arctic Siberia

    Saadi, one good explanation is at Science of Doom.

  23. Philippe Chantreau at 03:54 AM on 15 May 2013
    The last time carbon dioxide concentrations were around 400ppm: a snapshot from Arctic Siberia

    HJones, this horse has been beaten to death. Beck is not, and never was, a reliable source of information. The pdf you linked is not a peer-reviewed science article (it appeared in E&E but that does not qualify, sorry).

    Beck's "reconstruction" is based on inaccurate methods. Furthermore, it states that there were swings in CO2 atmospheric concentration as large as 290ppm to 470ppm in 15 years. That by itself is beyond ludicrous. There is no industrial process and no known biological process that could lead to such a change in that short a time. And it's not like Beck placed this in a past devoid of humans observing the planet, it's supposed to have happened mid-20th century.

    Nonetheless, let's imagine that some immense biological process took place in a totally silent way except for the CO2 fluxes. If such evens had really happened, it would have to leave an enormous C13 signature, but that is nowhere to be found. The whole thing is a pile of nonsense, it's not worth any time or attention.

     

  24. The last time carbon dioxide concentrations were around 400ppm: a snapshot from Arctic Siberia

    Saadi Aubydi @3, of topic, but the short answer is that N2 and O2 are not greenhouse gases because there is no charge imbalance between the two components of the molecule.  That renders the gases transparent to IR radiation.  Carbon Monoxide (CO) is a weak greenhouse gas because, although it does have a charge imbalance, because it only has two molecules it is limited in the sort of vibrations it can perform, meaning it does not absorb IR radiation at the main frequencies of emission within the Earth's atmosphere.  This is explained in more detail here.

  25. The last time carbon dioxide concentrations were around 400ppm: a snapshot from Arctic Siberia

    HJones @2, the following are CO2 concentrations as measured by an aircraft in Colorado in 2004:

    You will notice that while the measurements above 500 meters consistently record CO2 concentrations around 375 ppmv, those below that altitude are very variable, and much larger.  That is because the CO2 concentrations below 500 meters are contaminated by local sources of CO2 (mostly forests), whereas above 500 meters the CO2 from local sources has become diluted, leaving the local concentration at the background level.

    This is the problem with Beck's measurements.  While accurate, they are also contaminated by local sources of emissions.  Beck lumps all the measurements together without regard to whether they were taken in enclosed rooms (which can have CO2 concentrations up to 1000 ppmv with poor ventilation), in industrial cities, or in forests (which absorb CO2 in the day time, but emit it at night).  He also does not distinguish between CO2 measurements in autumn (when decaying vegetation elevates local CO2 concentrations) or spring (when new growth depresses it).  Because he simply ignores these relevant and well known facts, Beck's paper is propoganda, not science.

    In contrast, the Mauna Loa measurements are taken at altitude away from industrial sites and forests, and only when the prevailing winds prevent contamination from the local volcano.  They agree with measurements taken from many other remote sites including the South Pole.

  26. The last time carbon dioxide concentrations were around 400ppm: a snapshot from Arctic Siberia

    HJones - See the replies to Becks paper by Keeling and Meijer. Short answer: Beck made measurements at ground level, seriously contaminated by local effects, whereas the Mauna Loa (proper spelling!), Antarctic, mid-ocean, and other measures are a far more accurate background measure with care taken to avoid industrial influences. Becks methods were inappropriate, and his measurements are accordingly of little worth WRT global CO2 levels. 

    I suggest looking at the more accurate and widespread CO2 measures than Beck's work - it's a brief video, well worth watching. 

  27. Saadi Aubydi at 03:31 AM on 15 May 2013
    The last time carbon dioxide concentrations were around 400ppm: a snapshot from Arctic Siberia

    Hi, Why CO2 is a greenhouse gas while CO and N2 are not?

  28. The last time carbon dioxide concentrations were around 400ppm: a snapshot from Arctic Siberia

    LINK 

    The above link shows other values for CO2 concentrations beside Mona Lau.  When did the measurements in Hawaii become the standard?  Are these others even valid?

    Moderator Response:

    [RH] Fixed link that was breaking page format.

  29. The last time carbon dioxide concentrations were around 400ppm: a snapshot from Arctic Siberia

    John Mason:

    Kudos on an excellent article combining a very well written text with outstanding graphics. 

  30. Alex in the Farmbelt at 02:06 AM on 15 May 2013
    Leave It in the Ground, Climate Activists Demand

    I would postulate most of the carbon cycle carbon that we consume comes to us with the help of fossil fuel carbon, so it is not a zero-sum game.  Tractors, irrigation motors, trucks to transport use fossil fuels and even elements of fertilizers and pesticides come from petroleum.  I don't know of an electric vehicle capable of performing the work necessary to grow & distribute enough food for the masses, regardless of the source of charge.  Is there a solution to nutritional needs on a scale to satisfy 7 Billion people that does not involve petroleum?

  31. Another Piece of the Global Warming Puzzle - More Efficient Ocean Heat Uptake

    John Brooks, 

     

    I do not question that heat can be be advected to depths by downwelling, for certainly it can, I simply question the overall thermodynamic perspective given that the net flow of energy is always from ocean to atmosphere on a global basis. It seems more accurate to say the oceans are releasing less rather than taking up more, which is exactly the case during La Niña and cool phase PDO. In this regard, SST's are most instructive as they tell us more about heat being transferred from ocean to troposphere rather than about how much energy the ocean is storing. During the big El Niño of 1997-98, SST's were quite high, and of course that was a good indication that energy was leaving the ocean and we saw tropospheric temps rise and ocean heat content took a dive. 

  32. The anthropogenic global warming rate: Is it steady for the last 100 years? Part 2.

    Bart: No, it's the 2-box model of Rypdal 2012 with an extra ENSO term - the response function is determined by fitting the forced response to the data. However the forced response is similar on the decadal level to the temperatures obtained by Hansen 2011 using the Green's function mode. The only difference is that he uses the model to get the response function.

    Tamino writes about his version here.

    You can actually get a marginally better AIC using 1.5 boxes (1-box + transient).

  33. The anthropogenic global warming rate: Is it steady for the last 100 years? Part 2.

    Dr. Tung - If you are including the aerosol forcings and their changes over time, the sum forcings are again not linear since 1910, as per the figure in my post above. Note that not only tropospheric but stratospheric aerosols are involved in the "S" curve seen in 20th century forcing data. There is simply no support for a linear forcing during the 20th century, a requirement for your claim of a linear warming since 1910. 

    As per Kevin Cs comment, and your claim that "no CMIP3 or CMIP5 models have successfully simulated the observed multidecadal variability in the 20th century using forced response", I would simply point out Figure 9.5 from the IPCC AR4 report: 

     

    Model simulations of Anthropogenic+Natural and Natural only forcings

    Figure 9.5. Comparison between global mean surface temperature anomalies (°C) from observations (black) and AOGCM simulations forced with (a) both anthropogenic and natural forcings and (b) natural forcings only...

    Note that the models using all forcings match multi-decadal temperature variations quite well, including a mid-century pause. I fail to see significant support for your statement.  

  34. Bart Verheggen at 23:43 PM on 14 May 2013
    The anthropogenic global warming rate: Is it steady for the last 100 years? Part 2.

    Kevin, impressive comparison. Is there some more info somewhere on the ins and outs of the model and analyses used? In particular, is it using the Green's function of GISS model-E?

  35. John Brookes at 23:08 PM on 14 May 2013
    Another Piece of the Global Warming Puzzle - More Efficient Ocean Heat Uptake

    Thanks R. Gates.  I had not thought of the energy flow being from the ocean to the atmosphere before, but its rather obvious now that you mention it.

  36. The anthropogenic global warming rate: Is it steady for the last 100 years? Part 2.

    I think KR's comments on use of all the forcings is critical. In particular, I think that this key comment from your article is overstated:

    It is fair to conclude that no CMIP3 or CMIP5 models have successfully simulated the observed multidecadal variability in the 20th century using forced response.

    In fact, Hansen's model at least comes very close if you take into account internal variability in the for of El Nino. I haven't looked at the others, but here is a result from a simple 2-box model illustrating this fact:

    This trivially simple model is available here for you to play with - for the figure above, just click 'Calculate'.

    The key to this model is that it takes into account both forced response and ENSO. If you leave out the ENSO term (figure 5 on that page), then the model appears to fail to reproduce the mid-century cooling. When including it (figure 1) the model fit is extremely good except for 2 spikes either side of WWII. The temperature record is GISTEMP and so is missing the post-war SST adjustments, which probably accounts for much of the remaining discrepancy.

    The significance of the ENSO term is that the trend in MEI on the period 1940-1960 is about 70% of the trend on 1997-2013. ENSO plays a significant role in the cooling on that period, and of course only corresponds to a single realisation of climate variablility. Using an ensemble of runs or alternatively using a simple energy balance model allows us to eliminate the internal variability. Imposing the real ENSO contribution allows us to figure in the actual realisation. The resulting model fits 92% of the variance in the data. You can test the skill by omitting different periods from the model fit.

    We could redo the calculation with Hansen's data instead of the 2-box model, but the results will be similar. Ideally we'd use a longer time frame too. BEST should be significantly better than CET, and the Potsdam forcing data goes back to 1800 (although I think it omits the 2nd AIE). I'm afraid I haven't had a change to do this calculation yet.

  37. Another Piece of the Global Warming Puzzle - More Efficient Ocean Heat Uptake

    Rob,

    Thanks for that explanation in repsonse to my post @2.  It sounds plausible, but what bothers me is that the Pacific basin has not shown especially high ocean heat content increases, but rather it has been the Atlantic and Indian Ocean.

    Also, @3 you said,

    "There is the worrying possibility that 3 variables may have acted to slow surface warming during that time; the negative phase of the PDO, industrial sulfate pollution, and increased sulfates from increased volcanism of tropical volcanoes. Let's hope that that wasn't the case - it would imply significant surface warming when these 3 are no longer holding back greenhouse gas warming."

     

    i think this could unfortunately be exactly the case, but I also would not discount a slight downward nudge from our rather sleepy sun during that time as well-- meaning that could even be a fourth factor. We had some very low total solar irradiance, and of course  a current solar cycle that is the weakest in a century. 

  38. Rob Painting at 21:38 PM on 14 May 2013
    2013 SkS Weekly Digest #19

    Seahuck - Not a good piece by Gillis. Relatively easy adaptation to climate change is simply a fantasy. Last time I checked, ocean acidification is still happening, and coral reefs the world over are in dramatic decline. Once the reefs and productive fisheries collapse (which they are on course to),  I don't expect adaptation will be an apt description of what follows.

  39. The anthropogenic global warming rate: Is it steady for the last 100 years? Part 2.

    KK Tung @16, here are the 10, 15 and 20 year running means of the CET from 1660 to 2012:

    As you can see, there is no consistent 50-80 year oscilation in the data.  There is what might be a large amplitude 80 year oscillation from 1660-1740.  However, the trough of that "cycle" corresponds with the Maunder Minimum and a large number of large volcanic erruptions, while the peak corresponds to a period without significant volcanic activity.  In other words, that "oscillation" is more likely a result of forcing than not.  Then from 1740 to 1910 there are seven distinct peaks indicating average "cycle" lengths of 25 years, although the cycles vary in both magnitude and length.  The longest cycle length (treating the smallest peak as an aberration) is less than fifty years in length.  Finally, from 1910 to 2012 you may have two cycles of 50 plus years.  There is certainly no consistent periodicity over the entire period.

    Tellingly, this pattern (or lack of it) shows up in your supplementary material, and specifically in figure S2:

     

    Clearly the 50-90 year signal is almost entirely absent from about 1750 to about 1910.  In contrast, during that period there is a strong 32 to 50 year signal.   There is simply no compelling reason to consider the 50-90 year bandwidth a representing a physically important process while relegating the 32-50 year signal to irrelevance; and if we allow ourselve so broad a target as an oscillation that varies by a factor of 2-3 in amplitude and by more than a factor of 3 in period, it becomes almost impossible to not find your AMO in any random data. 

    Speaking of which, you claim a statistically significant 50-80 year AMO over the full length of the the CET record based on a wavelet analysis.  Tamino has some very interesting comments on such analyses.  Specifically, standard significance tests applied to wavelet analysis will overstate the statistical significance of observed oscillations because they do not allow for the fact that we are searching a large range of hypotheses simultaneously.  To the extent that you have not compensated for that, therefore, your wavelet analysis will also overstate the statistical significance of the "detected" AMO signal.

  40. Bart Verheggen at 19:00 PM on 14 May 2013
    The anthropogenic global warming rate: Is it steady for the last 100 years?

    Another approach would be to rather than using a questionnnable (see my previous commment) estimate of the AMO as a predictor in the regression analysis, see if there is a AMO-type (or other cyclical) signal is left over in the adjkusted temperature, after having corrected for the better known influences (solar, ENSO, volcanic, anthropogenic).

    The Lean and Rind analyses would make me think there would not be a substial influence of such cyclical behavior, but that's worth investigating with newer data.

  41. Bart Verheggen at 18:51 PM on 14 May 2013
    The anthropogenic global warming rate: Is it steady for the last 100 years?

    Thank you Dr Tung for engaging here about your paper.


    It is an interesting analysis, but the results are strongly dependent on the assumed shape of the anthropogenic signal. This signal is not properly approximated as linear from 1850 onwards (see e.g. fig 8.18 of the AR5 SOD or similar figures). This is in contrast to the past three decades as analyzed by Foster and Rahmstorf, where the linear approximation is much more valid.

    By assuming linearity, the non-linear part of the anthropogenic forcing will be incorrectly attributed to the AMO.

    See also this attempt to reproduce the results in the paper, but then  using the time evolution of CO2 concentrations instead of a linear trend as a proxy for the anthropogenic forcing: http://www.staatvanhetklimaat.nl/2012/10/26/is-the-amo-the-explanation-for-the-1940-1970-temperature-standstill/

    Obviously, this is still a very incomplete analysis, since the net anthropogenic forcing is not properly represented by the CO2 concentration (because of the logarithmic relationship and because of other forcings being also important), but it shows the strong dependence of the results on what is assumed to be the anthropogenic signal. The anthropogenic warming trend is seen to accelerate with this slightly better (though still flawed) assumption.

    An improved (and very interesting) analysis would take the net anthropogenic forcing as the anthropogenic signal.  If the AMO index can be properly detrended for such an analysis is questionnnable: All other tempoerature influences would have to be subtracted, and those temperature influences are actually what one is after with such an analysis. The detrending thus invariably involves either dubious or highly uncertain assumptions or circulair reasoning. The latter could perhaps be ameliorated by an iterative analyis.

  42. It's too hard

    yocta @26:

    1)  Bartlett's equation excludes an important variable, I, or the Emissions Intensity of production.  Total emissions are equal to Population times per capita production times the emissions for a given level of production (P x A x I).  Given suitable changes in these values, the product can fall even though some values continue to rise.  In particular, if I falls towards zero, P x A can increase arbitrarilly consistent with a net decline in emissions. There are other constraints on population and productivity such that it is likely that we need to limit population growth and growth in per capita productivity (and hence consumption) cannot be very large; but a determination to reduce GHG emissions in no way commits us to reducing either.

    2) Charlton's argument simply tries to impress you with large numbers without context.  In context, 77 thousand km2 of solar panels, or 77 billion square meters of solar panels can be installed by each member of the current population installing 77.7 square meters of solar panels over a period of 25 years.  Frankly, I could knock of my 77.7 square meters in a week.

    To put that into more context, PV installation per annum is more than doubling world wide every year.  Lets assume that falls of to an average effective growth of installations to 30% over 25 years.  In that case, in the 25th year, 22.6 terrawatts will be installed per annum.

    3)  On current evidence it will not require a WW2 change in economies to combat climate change.  In fact, if we get serious about it, the cost is likely to be about 1% of GDP, ie, significantly less than the US' peace time military budget.  

  43. It's too hard

    I've just read two articles about humanity's future problems. Now they aren't journal articles, but the author (1) Albert Bartlett has written many peer reviewed articles on over population and (2) Andrew Charlton, is an academic

    To a first approximation Bartlett states that 'the magnitude of the effect of humans in producing global climate change is proportional to the product of the size of the global population P and the average percapita annual consumption of resources, A
    the total annual consumption of resources (tons per year). 

    He argues that we must reduce both P and A simultaneously and rapidly throughout the world, and that there is no such thing as sustainable growth (the way we generally define it that is).

    The second author I just read, was a quartily essary by Andrew Charlton (2), an advisor to the Australian Government at the Copenhagen Summit. He basically makes the case that as there are 1 billion rich people and 6 billion poor people. He quotes Saul Griffith, who in his study found that in order to reach the 2 degree mark would require the roll out of 13 Terrawatts globally over the nest 25 years.

    To put that in perspective 2 terawatts of solar PVs, he calculates would reuire installing 100 square metres of solar cells every second for the next 25 years or 77,700km² of mirrors. (Tasmania is 68,401km²).

    Basically, current technology cannot cut it. 

    Forgive my long post, but the question is, shouldn't the issue of population be looked at as cause in part of emissions? I have met my fair share of 'Libertarian' people who actually don't even believe there is such a thing as overpopulation. 

    And, am I correct in assuming we need a WW2 scale change in economies to actually achieve any emission reductions?

    Is this something SkS could look out?

    The only way I see the way across the line is engaging with developing nations more than ever helping them get access to cheap clean energy.

    (1) http://albartlett.org/articles/art_meaning_of_sustainability_2012mar20.pdf

    (2) http://www.quarterlyessay.com/issue/man-made-world-choosing-between-progress-and-planet   (*)

    (*) a free sample can be found on Google Books

     

     

  44. The anthropogenic global warming rate: Is it steady for the last 100 years? Part 2.

    Reply to post 18 by KR: I did not assume that aerosol forcing is zero.  I in fact think they are slightly larger than what has been used in GISS models, with the difference well within the range of uncertainty for tropospheric aerosols.

  45. The anthropogenic global warming rate: Is it steady for the last 100 years? Part 2.

    Dr. Tung - Uncertainties in aerosol estimates do not mean you can assume extrema values for those aerosol forcings (such as the zero value you seem to use); the most parsimonious estimate is to use the best estimate of that data, as above. Zero is in fact entirely outside the 2-sigma range of aerosol estimates. If you assert that aerosol uncertainties are extreme enough to invalidate radiative forcing data, your own paper has nothing to stand on, as you are attempting to evaluate attribution between internal climate variability and anthropogenic radiative forcings including those aerosols. 

    Your assumption of linear anthropogenic influence since 1910 is invalid given the totality of observed forcings; which are clearly non-linear in sum. Invoking uncertainty there, however, does not support your work. 

     

    Regarding Enfield and Cid-Serrano 2010, I will note a few issues I have with that paper relative to yours:

    * They first point out that 1-year lag times are perhaps too long for atmospheric/oceanic interactions, then base their claims of uncertain Granger causality on those 1-year lags. Note that their results are quite ambiguous in this regard, with roughly 50-50% splits depending on test variables and definitions - and that the same test with monthly lag testing indicates a best-fit with AMO lagging temperatures by 3 months. 

    * They do not support your methods, or a linear detrending, stating "We consider that Trenberth and Shea (2006) and Mann and Emanuel (2006) are quite correct about the desirability of defining the AMO in a way that accounts for the nonlinearity in AGW." I find it curious to see you claiming methodological support from that paper. 

    * Their detrending, "This can be achieved effectively and simply by subtracting a least squares-fit quadratic function from the time series..." is nearly as simplistic as a linear detrending, and again is not matched to the relevant radiative forcing data. 

     

    Finally, as I've noted repeatedly, with no reply on your part, the AMO and oceanic variability simply cannot supply the required energy for 40% of global warming under the energy constraints of rising ocean heat content. Even AMO-driven cloud changes as a possible (if not plausible) secondary mechanism would be insufficient due to their limited duration (they would require forcing changes several times observed) and spatial extent (hemispheric at the very most via teleconnection). Arguing over AMO definitions is a red herring if there is simply not enough energy available to support your conclusions. 

    I consider this last issue just as important as the AMO definitions - the influence of internal variability must be consistent with all the available evidence. 

    ---

    Enfield and Cid-Serrano 2010 does not support linear detrending, uncertainties in aerosols can only weaken your own conclusions, and you have not addressed the energy balance issue in any way. I'm afraid I must continue to disagree with your conclusions. 

  46. Rob Painting at 10:18 AM on 14 May 2013
    Another Piece of the Global Warming Puzzle - More Efficient Ocean Heat Uptake

    Thanks Jos. Will draft up a post on the new Meehl paper.

  47. The anthropogenic global warming rate: Is it steady for the last 100 years? Part 2.

    Reply to post 14 by KR: How do you know what the total (net) radiative forcing is, given the uncertainty in aerosol forcing?

    I did mention in part2 that the effect of removing a nonlinear trend was discussed by Enfield and Cid-Serrano (2010).

  48. The anthropogenic global warming rate: Is it steady for the last 100 years? Part 2.

    Replying to post 15 by Tom Curtis:  The statistical significance of the AMO mode in the 50-80 year period in the CET data was shown in our PNAS paper.For the global mean data after 1850 it was shown in the appendix of that paper.  The statistical significance of the same spectral peak in the multi-proxy data was shown by Delworth and Mann (2000).


    Have you tried using longer-term moving average (longer than 10 years)?  We did, and it did show up.  Moving average is rather primitive and it is difficult to establish the statistical significance of what you generate.  We used the wavelet low-pass and band-pass, and there is a well established procedure to establish statistical significance.

  49. The anthropogenic global warming rate: Is it steady for the last 100 years?

    Reply to post 49 and 50;  By "almost" I didn't intend to imply more or less.  The exponential function was used in my figure 1 to show that it almost fits the actually data.  In the calculation done in Figure 2, the actual emission was used to calculate the radiative forcing.  So this distinction of more or less than exponential is moot.

  50. 2013 SkS Weekly Digest #19

    Is SkS planning on doing an article about his NYTimes article? It is found under their series examining the "debate" (their words) surrounding climate change. I would like to see more details about the specific claims, as well as those making them. 

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