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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 19751 to 19800:

  1. SkS Analogy 6 - Speakers, tuning forks, and global warming

    Explaination needed here"     "...When they absorb waves they trap heat, warming the atmosphere."

    I thought that rather than absorb and retain heat, the CO2 more accurately, quickly reradiated it, some downward, which warmed the surface and the ocean. The warming surface/ocean then warms the lower to middle atmosphere.

    Is that correct?

  2. It's the sun

    Would anyone know if there is a simple way to download the data used to produce Figure 2 from the IPCC AR5 Chapter 5? I'd like to show their calculations in a presentation, but the charts as provided are a bit busy. If I can present them as individual charts in Apple Keynote, it would really help.

    Thans in advance, and thank you for Skeptical Science!
    Christian

  3. Temp record is unreliable

    While strongly suspecting that moonrabbit @411 is yet another sock puppet, I will point out that my post at @406 exclusively criticizes cosmoswarrior/diehard/dieharder's claim @405 that:

    "Not only that, but the temperature history during the last two decades of the 20th century was rewritten to double the rate of temperature increase."

    As can be easilly seen from the graph @406, and the equivalent graph from Karl et al shown at @409 (panel b), the trend in the last two decades of the twentieth century, ie, from 1980 onwards, was not doubled when comparing adjusted to raw data.  cosmoswarrior/diehard/dieharder's claim to the contrary is indeed a gross error.  Somebody who cannot acknowledge even that, and who continuously misrepresents the argument made against his claim to avoid doing so in not amenable to reason.

    If they (and moonrabbit, on the assumption that is not just another sock puppet) cannot acknowledge even that gross error, or even correctly represent the argument against it, how on earth can they be expected to discuss reseanably the more subtle issues relating to the 1998-2012 trend (ie, the so called "hiatus").

    Moderator Response:

    [DB] Yes, this was just yet another tired, tepid sock puppet iteration of serial spammer cosmoswarrior.

  4. Temp record is unreliable

    I would like to comment on your responses to cosmoswarrior and diehard in their postings about the reliability of NOAA temperature data. First, in the response Tom Curtis gave to cosmoswarrior in @406, he showed the GHCNv3 data before and after the corrections, and pointed out that there was "almost no difference between the raw and adjusted data from 1980 forward". Tom Curtis then used this fact to argue that cosmoswarrior was incorrect in his/her statement about the data adjustments made in 2015 (which eliminated the "warming hiatus") also rewrote the temperature data for the last two decades of the 20th century. This is not an equitable comparison, however, since GHCNv3 was a land-based dataset only and the major changes had to do with the sea-surface measurements. Therefore, we cannot use this fact to argue that the statement by cosmoswarrior about "pause-buster" data corrections is "simply false" or that he/she is in "gross error".

    At this point, I don't believe the fact can be disputed that NOAA made major changes in temperature data in June 2015 which in fact eliminated the appearance of a warming slowdown after 1998. The writings and videos by Kevin Cowtan and Zeke Hausfather that you in fact post and reference discuss the affects of these "adjustments" on the temperature trends. Additionally, news of these sweeping changes, including rewriting of data (which at least most of us have never seen before in any scientific effort), caused a huge controversy in the entire climate science field and eventually prompted a Congressional investigation. Therefore, if cosmoswarrior and diehard are mistaken in their statements, they are far from being the only ones.

    Moderator Response:

    [PS] Try again - after you have read the comments policy.  Note, no sloganeering, no accusations of fraud. Check for accuracy of your premises (what you read on some denier site is likely wrong) and logic. Unless you think a telescope works best without wiping the dust off, you need provide evidence that adjustments to temperature record are scientifically invalid, not that you dont like the results.

    [DB] This sock puppet of serial spammer cosmoswarrior will not be rejoining this conversation.

  5. Glenn Tamblyn at 14:36 PM on 29 May 2017
    Does Urban Heat Island effect add to the global warming trend?

    EE

    Your right that it is a change in the local characteristics of a site that can potentially skew the results.

    How do they corrrect for this changing? Hopefully the metadataassociated with each station is updated as any such change occurs.

    Also, the GHCN dataset that is used as the basis for some of the temperature products uses an automated pairwise adjustment method, contrasting nearby stations with each other to look for unusual variations in any station.

    The data set produced by NASA GISS goes further. They use satellite data about lights at night to estimate degree of urbanisation, independent of station meta data. So any evolution of a site from rural to urban, at least in the satellite era can be detected.

  6. More Carbon Dioxide is not necessarily good for plants.

    Ahfretheim, you have failed to consider the overall context here.

    If Earth had a very much smaller population of humans, and the current climate change were happening at one quarter its present speed — then yes, adaptation to global warming could proceed in the comfortably gradual, orderly, and harm-free manner that you indicate.

    But the world is already overpopulated, especially in the tropics.  And the production of staple foods (not apples or grapes) is under pressure from rising temperatures, rising extremes of heat-wave flood and drought, and rising sea level (invading the fertile river deltas and other low-lying farmlands).

    Realistically, there is zero room for complacency and inaction about AGW.

  7. More Carbon Dioxide is not necessarily good for plants.

    1) Actually there's a great deal of disagreement on this point, as can be found in the American Meteorological Society study from 2014 reference by this ironically titled LA Times article: http://www.latimes.com/science/la-me-0305-drought-watch-20150305-story.html While it is true that greater heat does lead to greater evaporation, which leads to less water in the soil GIVEN THE SAME LEVEL OF PRECIPITATION,  that water does not simply then disappear but ends up as vapor pressure in the atmospher, leading to greater precipitation. Indeed (also referenced in same ironically titled article) the Diffenbaugh, Swain and Tuoma study from Stanford did find that even in California winter precipitation would modestly increase, while also complaining that summer storms would be pushed north. What seems to emerge here is not an entire planet that is growing drier, but rather, winners and losers, and with decreasing permafrost making many non-arable lands in the arctic circle that would otherwise be possible candidates for agriculture open to utilization, it is likely that winners will greatly outweigh losers.

    2) Every plant is different in this regard, and farmers already adjust their crops on a yearly basis based upon both weather patterns as recorded in thier almanac and crop prices. What will likely happen is, to adjust for the higher water usage, a shift away from water-enabled crops such as soybeans and towards water-disabled crops such as apples, tomatoes or grapes. One of the major problems with climate models in this regard is they tend to assume farmers are stupid or would simply stay in one place and let themselves be destroyed.

    3) That actually depends upon your way of doing agriculture. There are methods of agriculture that don't involve artifical fertilizers and mixing the two approaches may prove best in the future. Also we're really not running out of natural gas, in fact many more expensive to operate gas fields are closing due to lack of demand.

    4) You can't have it both ways. Either there is increasing photosynthesis leading to greater need for CO2, water, nutrients and sunlight or there is not. Certainly if there is not increasing photosynthesis, your concerns in points 1, 2 and 3 are invalid.

    5) Switch to more insect-resistant crops. This is the sort of on-going evolution that agriculture has been experiencing for hundreds of years. 400 years ago an insect destroyed the old French wine - they cross bred the plants with a wilder strain, and developed the heartiness to withstand the insects, but also lost a certain characteristic sweetness and innocence of the wine. When the Grand Coulee dam was built in the early 1900's, bringing accessible irrigation water to the bone dry and once sandstorm filled deserts of Eastern Washington, they were able to grow the old French strains once again in a place that never had the populations of insects to destroy them. Similarly, 70 years ago the Bowl Weevil evicted cotton from the Old South, leading to its replacement with many other kinds of agriculture from Oranges to Peanuts to Sugar to commercial timber.

  8. Mars is warming

    EE @50, I have responded to your comments on Venus on a more appropriate thread.

  9. Venus doesn't have a runaway greenhouse effect

    Elsewhere, EE writes:

    "Regarding question by mj at 43, I think skeptics are correct in that mentioning Venus is not very useful in advancing GW argument. By using the same albedo/black body radiation that was used for Mars..... Venus is 67M miles vs 93M miles so it absorbs twice the solar radiation. If Venus had the same albedo and same greenhouse as earth, it would still be unbearably hot. About 185 degrees Fahrenheit....too hot for me. Greenhouse or not, I'd be dead on that planet. "

    I am not sure what is meant by "the same greenhouse effect", but it is interesting to explore the difference between the actual Venus, and Venus with an Earthlike and with zero albedo, all with no greenhouse effect.

    First, the mean incoming solar radiation for Venus an albedo of 0, 0.306 (ie, Earthlike) and 0.77 (its current value) are 650.4, 451.4 and 149.6 W/m^2 respectively.  As it happens, for a body with liquid water, the water vapour feedback imposes a cap on OLR on the assumption that there is such a thing as the greenhouse effect.  That cap arises because, as temperatures rise, the water vapour feedback becomes stronger until a point is reached were the increase in the water vapour feedback compensates for any increase in outgoing radiation from the surface, so that while the temperature may rise, the OLR does not.  That cap, for Earth is approximately 385 W/m^2 (Nakajima et al, 1992), and would be similar for Venus.  Indeed, prior to the formation of Venus very thick atmosphere, it would have been slightly lower. 

    Crucially, for Venus with 0 or an Earthlike albedo, that cap is less than the globally averaged incoming insolation.  That means that for Venus with Earthlike albedo, there is an excess of about 70 W/m^2 between the energy Venus would recieve from the Sun, and the amount it would radiate to space.  That extra 70 W/m^2 must go into heating the surface, first by boiling away any liquid water on the surface, and then by raising the temperatures well above anything like the temperatrures we are used to.

    That, in essence, is the runaway greenhouse effect.  It cannot exist without a greenhouse effect, but a Venus with Earthlike albedo and zero initial greenhouse effect cannot avoid it.

    In some respects, even more interesting is the current very high upward surface radiation coupled with the very low OLR found on Venus, or in simpler terms, the fact that Venus with less recieved radiation than Earth, has a surface hot enough to melt lead.  Given that Venus is less dense than Earth, and consequently does not have as much radioactive material, that cannot be due to high geothermal heat flux.  Consequently it is inexplicable without a greenhouse effect.

    These two crucial facts about Venus show that the greenhouse effect is real, and that it is potent.  There exist no other viable explanations; and certainly none proposed by AGW "skeptics" (whose explanations tend to start by ignoring the conservation of energy).  In science, a theory is only as good as its ability to explain things better than its competitors.  In this case the greenhouse effect is an efficient explanation of both the current state of Venus, and how it got into that state.  It has no viable competition in that role.  This, rather than our relative comfort on Venus with no greenhouse effect (or a much reduced greenhouse effect) and Earthlike albedo is what makes mention of Venus a good argument in favour of the theory of the greenhouse effect.

    Granted it will not persuade all AGW "skeptics", but that is because most AGW "skeptics" have decided to make their beliefs on AGW immune to evidence.  Nothing is a good argument for those with minds so closed.

  10. Does Urban Heat Island effect add to the global warming trend?

    I dont think I understand your point at all. A rural area that has become urbanized is no longer "rural" for the purposes of correcting the record and cannot be used for such. I highly recommend that you read some of the detailed methodology. Eg Hausfather et al, 2013

  11. Does Urban Heat Island effect add to the global warming trend?

    I see how they correct for UHI in the urban areas by using nearby rural areas.  However, a difference in urbanization between city and rural would not skew global warming as much as the difference in urbanization rates between city and rural.  In other words, a city that stays the same size would not give a false global warming effect.  But a rural area that turns into a town that grows to a city would.

    How do the correct for the urbanization of rural areas? 

  12. Climate is chaotic and cannot be predicted

    I certainly hope you do not think that policy-makers should be guided by what you "sense" as opposed to scientists reasonable skill at predicting future climate (a cycle is not climate by definition really).

    You need to be clearer about the difference between weather and climate. It would be very hard to predict the temperature for 24Dec 2017 where you live. However, I think you could nail the average temperature for Dec now with reasonable accuracy.

    Furthermore, you can state with very high confidence that the average temperature for June will be warmer (if in NH temperate area) than average temperature for Dec. Now think for a moment. Why is that true? What is your answer? 

  13. Mars is warming

    The conclusion of Fenton, that  Mars temperature rose, is just a physics calculation that I remember from college Astronomy.  If the surface darkens, more sunlight is absorbed, the temperature will rise, causing more heat radiation (black body radiation).   Temperature will rise until the black body radiation of the higher temperature is in equilibrium with the new heat absorbtion.  It assumes TSI is constant.  So this is not a measurement per se.

    Regarding question by mj at 43, I think skeptics are correct in that mentioning Venus is not very useful in advancing GW argument.  By using the same albedo/black body radiation that was used for Mars..... Venus is 67M miles vs 93M miles so it absorbs twice the solar radiation.  If Venus had the same albedo and same greenhouse as earth, it would still be unbearably hot.   About 185 degrees Fahrenheit....too hot for me.  Greenhouse or not, I'd be dead on that planet. 

    Here is link on Planet tempearature and blackbody radiation: https://en.wikipedia.org/wiki/Planetary_equilibrium_temperature

  14. Skeptical Science now an Android app

    I just inatalled android ap buit i dont see the home menu with this blog. Is this blog hidden somewhwre in these mobile apps and can i access latest articles commemts from it or do ihave to revert to  this site which is not optimised for mobile...

  15. Climate is chaotic and cannot be predicted

    Interesting, Alnero2 @118 , that the way you see it is that you could be wrong.  You are quite correct in that!!

    Interesting also, that you sense there's more than one "major parameter" science is not yet aware of.  Your claim is not just extraordinary, but more than extraordinary!  How reliable is your ability to sense the unknown — for instance, can you reliably sense the results of future horse races?

    I sense, yet I cannot prove, there is a sock missing from your sock drawer.

  16. Climate is chaotic and cannot be predicted

    The weather has, is and always will change and I think, there is nought that is in the human dynamic, that will change this.

    As science is a thing in progress and has not yet reached its zenith, then predicting long term cycles in weather, remains an aspiration.

    I sense, yet I cannot prove, there are major parameters that affect weather of which science is not yet aware of.

    I could be wrong, its just the way I see it.

  17. Digby Scorgie at 15:03 PM on 27 May 2017
    Trump's Fox News deputy national security adviser fooled him with climate fake news

    Quidam @5

    So there's more to penguin life than I thought.  I've seen them at nesting grounds with wings open on "warm" days but I don't recollect seeing them with beaks open — that's a new one on me.

  18. Digby Scorgie at 14:57 PM on 27 May 2017
    SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    nigelj @38

    Without wading through all the comments, I remember reading somewhere that initially the contributions to sea-level rise were mainly from glaciers and thermal expansion.  Recently, however, meltwater from the Greenland and Antarctic ice caps has become a third important source.  This apparently explains the recent acceleration.  If I've misunderstood, somebody please correct me.

  19. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Daniel Bailey @37, ok thanks. 

    But one thing mystifies me. I would have expected sea level rise since 1900 to have accelerated in a roughly smooth curve, but squinting my eyes down the increase does look to be in a series of steps, for example after 1930, there is a definite and quite abrupt change in pace, and again after 1990 you have the same. Or maybe the lines imposed on the graph make it look that way.

    But if it is a series of step changes, especially after 1990, why would that be? Did something happen around 1990 in terms of ice sheet behaviour, to cause this? Did melting in the arctic region accelerate about then?

  20. Daniel Bailey at 00:42 AM on 27 May 2017
    SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    nigelj, that graphic is through 2012.  This one is updated through 2015:

    Sea Level Rise

    Bigger image here.

  21. Trump's Fox News deputy national security adviser fooled him with climate fake news

    >Digby Scorgie at 13:50 PM on 24 May, 2017 What I find amusing is that penguins hold their wings like that when they're hot and trying to cool off!<

    Not just when they're hot.  They also hold their wings like that for balance when walking and to dry off after they have come out of the ocean.  That Adélie penguin is clean and she's on snow, not a nesting spot, so it's likely she's just come out of the ocean and was climbing to the colony when she was interupted by the photographer.  (I'm just guessing it's a 'she')

    If she were trying to cool off she would also likely have her beak open and be panting like a dog.

  22. Global climate projections help civil engineers plan

    I would have thought that civil engineers are mostly interested in peak sstress values (rain, cold, warm, max wind) and seasonal averages in given locations rather than in global averages. Interesting that engineers are waking up to a new frontier.

  23. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Recommended supplemental reading:

    10 things you should know about sea level rise and how bad it could be by Rob Motta, James White & R. Steven Nerem, Capital Weather Gang, Washington Post, May 20, 2016

  24. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Tom Curtis @34, thanks for the explanation. I meant this sea level rise graph, which is very similar to your first example anyway, but with some trend lines shown and extended from 1880 to about 2016. I could not reconcile this with what Joe was claiming until I read your explanation. 

    I copied and pasted the wrong thing somehow above, hopefully it works this time. I have a new laptop, so I'm going to blame that.

  25. NCSE's counter-Heartland flyers

    nigelj@1m

    You feel so strongly about protecting children and minorities from the rubbish by professional AGW denialist. What aould you then say about protecting future generations, as they will be bearing the brunt of those denialists who want to ensure lack of mitigation in their time, just like we bearing the brunt of our fathers who buned FF without limit throughout most of XX century. Future generations are even more vulnerable than current children, as they cannot say anything, they cannot even cry.

  26. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    nigelj @33, if you mean one of the graphs from this page by Tamino, then the Church and White data is actually from 1800-2009 (ie, the original data from the paper without updating), or from 1930 for the last three graphs.  Of the graphs there, this one seems to best fit your description:

    You will notice that though the data is noisy, the slope of the smoothed curve over the initial decades is less than that over the final decades, a fact that indicates acceleration.

    Better yet is this graph, which determines acceleration on the assumption of a parabolic fit from each date up to 1990, showing uncertainty intervals:

    The initial and 1900 values plus uncertainty intervals are close to those stated by Church and White, suggesting that is the technique they used.  Tamino goes on to use better techniques to understand the structure of the acceleration, but only with the data from 1930.

    For what it is worth, using a linear fit on the annual differences in sea level, the OLS trend is 0.006 +/- 0.019 mm/yr2.  That is, it shows acceleration, but it is not statistically significant.  For comparison, using the same technique on the data to 2009 shows an OLS trend of 0.018 +/- 0.016 mm/yr2; while from 1900 to 2014 shows an OLS trend of 0.019 +/- 0.015 mm/yr2.  All errors are for 1 standard error only, so none of the accelerations shown are statistically significant, though all are greater than that reported by Church and White.  Because of the accelerations shown, it is more likely than not that using the better techniques used by Church and White, and by Tamino in his last figure, would also show acceleration over that interval.  Because of the larger relative errors, that is not certain, and it is certainly not clear that the data to 1990 would show a statistically significant acceleration, even using those better techniques.

  27. NCSE's counter-Heartland flyers

    If this sort of climate nonsense and deceit is allowed into schools, where does it stop? Next anti vaccination and anti flouride rubbish will be allowed in. Children will become missinformed, and at the very least totally confused.

    I'm a strong believer in freedom of speech and rights of lobby groups, as far as the adult world goes, but I feel children have to be protected from rubbish from lobby groups, as they are not in a position to discern good from bad, or misleading information. Free speech is a right, but comes with a few responsibilities, and limits in some cases.

  28. Global climate projections help civil engineers plan

    "While people in the halls of Congress or in homes at holiday time may still argue about whether climate change is happening, scientists and engineers now have enough information to make informed decisions."

    Yes exactly right. But one point, buildings and other civil works are mostly designed to building codes, which are ultimately political decisions! And many politicians are climate sceptics or are captive to lobby groups who are sceptics. In fact where I live politicians have not changed building codes, and have basically said it's up to the buyer and builders to do as they wish in terms of climate change. I think this is a totally inadequate political response.

    It's possible of course to design above code, but this is just not always going to happen. This is human nature. As a result many people will go on building in vulnerable areas, and in silly ways, and this will ultimately become a burden on society as a whole.

    You have to improve building codes and civil engineering codes, and make it mandatory. You may have to put some land off limits for development as well, if it's very vulnerable.

  29. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Tom Curtis @31, thanks for making sense of this mystery. It appears to me Joe had the right method, but the wrong assumption on data previous to 1990, which is maybe understandable, as it wasn't so clear.

    This graph is based on Church and White with the satellite data stiched on, from 1880 to 2016.  

    I can't see any increase in the "rate of the rate" from 1900 - 1990. It looks flat overall, but has a convex hump. There's an obvious increase in the rate of the rate from 1990 onwards. 

  30. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Tom Curtis @31,

    I agree that the interpretation of the Smithsonian quote I present @30 is ludicrous and should be interpreted as you set out. Yet the interpretation @30 does after a fashion yield the values presented by joe@12. Despite being shown the need for a proper explanation, joe says no more than "I am going to refer you back to the the citation from the smithstonian. The rate of growth was straight from the data provided which is also from NOAA."Of course there is nothing preventing joe properly explaining how he derived his values if my explanation of it is wrong.

  31. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    MA Rodger @30, comparison of the Smithsonian's claims to both Church and White (2011) and Jevrejeva et al (2014) data suggests the Smithsonian is basing its claims on Church and White for the interval preceding the satellite data, and the satellite data thereafter.  That conclusion is given circumstantial support by the fact that one of the author's, Joshua Willis, works for NASA, whose vital signs page uses just that combination of data.

    In any event, I interpret the Smithsonian quote as saying, not that sea level rose at a rate of 1.2 millimeters per year in 1900 and 1.7 millimeters per year in 1990, but that the linear trend from 1900-1990, given uncertaintly, lies between 1.2 and 1.7 millimeters a year.  In support of that, using the linest function on the Church and White data from 1900-1990 yields a linear trend of 1.5 +/- 0.3 mm/year.  I would conclude that no estimate of acceleration from 1900-1990 can be made from the Smithsonian statement, and certainly not one in contradiction of Church and White itself. 

    Nor can the difference between the 1.7 mm/year upper bound on the uncertainty interval fo the 1900-1990 trend be used to calculate a rate of acceleration from 1990-2000.  That is especially the case given that the second part of the Smithsonian statement appears to be based on the satellite data, and therefore is not directly comparable.

    For what it is worth, the linest estimated OLS trend for 1991-2000 is 2.16 +/- 0.4 mm/year.  From 2000-2014 it is 4.0 +/-0.2 mm/year.  Again, that shows a noticable acceleration.

    Of course, Joe may have been relying on a different data source, in which case this analysis is irrelevant to his claims.

    (Note: all calculated error margins given for 1 standard error.)

  32. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Tom Curtis @28,

    Concerning your first question posed, I suspect that the values presented thus by joe@12 :-

    "Based on the data in the aforementioned article, the rate of increase in the rate of sea level rise was appox .0036 per annum (0.36% ) from 1900 to 1990. The rate of the increase in the sea level rise from 1990 to 2000 was approx .061 per annum (6.1%). The rate from 2000 to 2016 reverted back to .0040 (0.4%). which is much closer to the historical norm."

    - were calculated from the rates of SLR described in the second pragraph of the Smithsonian Ocean ortal SLR page linked @12:-

    "Between 1900 and 1990 studies show that sea level rose between 1.2 millimeters and 1.7 millimeters per year on average. By 2000, that rate had increased to about 3.2 millimeters per year and the rate in 2016 is estimated at 3.4 millimeters per year. Sea level is expected to rise even more quickly by the end of the century."

    (Note the 3.4mm/yr 2016 figure is also given as 3.7mm/yr further down the Smithsonian article.) If this Smithsonian quote is interpreted as stating that the SLR 1900 was 1.2mm/yr, 1990 1.7mm/yr, 2000 3.2mm/yr and 2016 3.4mm/yr and an average percentage for the acceleration of SLR then calculated, you obtain 1900-1990 - 0.35%/yr (assuming a full century and not 90 years), 1900-2000 - 0.71% over 10  years, 2000-16 - 0.4% over 15 years. This is a bit of a stretch but is not a million miles from the values presented @12.

    The "NOAA" data mentioned @21 (and also "smithstonian/NOAA data" @23) I suspect is the Church & White data you suggest @28. A plot of the exponential increase using the 'joe' values will slice through the wobbles of the Church & White data up to the 1990s. However, it is evident that the 'up' wobbles are larger than the 'down' wobbles which is why the 20th Century SLR is greatly underestimated by the assumed exponential growth.

  33. Trump's Fox News deputy national security adviser fooled him with climate fake news

    I love the graphic illustrating denier staganation: the world is turning and the rest is just all pause-button-politics as Jevons Paradox pays the taxes.

     

    The people lead: Governments follow! (Can you believe Arnold Schwarzenegger said that? That's how basic this conundrum is!!)

  34. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    We all need to keep in mind that Sea Level Rise does not occur uniformily throughout the global ocean system. Cases in point...

    A 2016 Rutgers study found that seas near New Jersey could rise between 1 and 1.8 feet by the middle of this century under a scenario of low carbon emissions. But under a high emissions scenario, seas could swell as high as 4.5 feet by 2100. Recently, a National Oceanic and Atmospheric Administration study estimated mean global sea levels could rise as high as 8 feet by the end of the century.  

    Another study by researchers at the real estate firm Zillow found that nearly two million U.S.homes worth almost $900 billion could be underwater by 2100. The researchers weren’t referring to a situation where the market value of a home dips below the value of the mortgage; they literally meant underwater, swamped by rising sea levels.

    Zillow researchers looked at coastal states where sea levels would rise by six feet by 2100. In Florida, the most vulnerable and heavily developed, they found nearly 1 million homes – one of every eight in the state – would be underwater. The next most vulnerable state was New Jersey, where 190,429 houses would be inundated.

    How Rising Seas and Coastal Storms Drowned the U.S. Flood Insurance Program by Gibert M Gaul, Yale Environment 360, May 23, 2017

  35. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Joe, using Church and White (2011) (data downloadable here) as a basis of discussion, they claim that:

    "The linear trend from 1900 to 2009 is 1.7 ± 0.2 mm year−1 and since 1961 is 1.9 ± 0.4 mm year−1. There is considerable variability in the rate of rise during the twentieth century but there has been a statistically significant acceleration since 1880 and 1900 of 0.009 ± 0.003 mm year−2 and 0.009 ± 0.004 mm year−2, respectively."

    0.009/1.7 =0.0053, or 0.53% increase per annum in the rate of sea level rise (2nd derivative) over the course of the 20th century.  More importantly, that rate of increase extended over the period 1900-2009 would result in a rate of increase of sea level (first derivative)  2.27 mm/year in 2009.  The actual rate of increase of sea level for the decade terminating in 2009 was 3.41 mm per annum.  What is more, by 2014, the rate of increase for the preceding decade had risen to 4.53 mm/yr.  There is a relatively smooth rise in rate of sea level rise over a decade from 2000 to 2014 of 0.17 mm/yr^2, which is approximately a rate of increase in the rate of increase of sea level of 5% per annum.

    This raises two questions:

    Given that your estimates of the rate of increase of the rate of increase of sea level are under estimates whether we take the 20th century values, or the more recent much more rapid rate of increase, where did you get those estimates from (or how did you make them)?

    Given that the rapid rate of increase in sea level rise coincides with the onset of rapid loss of ice from the Greenland and West Antarctic Ice Sheets, is there any reason we should not expect it to continue, and therefore project a 14 year doubling time of the rate of sea level rise over at least the first half of the 21st century?

  36. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Oh, and Michael's link in #22 is the same Tamino post I linked to in #5....

  37. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Michael, Joe, et al:

    I think there has been some cross-talk. Joe's use of the phrase "rate of increase" can be hard to follow.

    • the value has increased by 1% over a period of time

    and

    • the rate at which the value is rising has increased by 1% over time

    ...do have rather different meanings, as "the rate" already talks about an increase. So "the rate has increased" means that the new rate is higher than the old rate.

    To delve into what a former student of mine once called "all that math $#!^":

    • the rate of increase would be the slope (known as the first derivative with respect to time, to the math geeks), and  linear thinking.
    • the rate at which the increase is increasing would be the acceleration (known as the second derivative to the math geeks), and is a non-linear relationship.

    I think Joe has used the second meaning, and Michael admits to having been thinking the first.

    ...unless Joe really means "change in acceleration" as Michael says above, which is the rate at which the change in rate has been changing...  or the third derivative. (Yes, I am being obtuse on purpose.)

    So, can people try to be a bit clearer with the terms they use, please? I suggest:

    1. "rate of sea level rise" is the slope over a period, e.g., in mm per year.
    2. "acceleration in sea level rise" is a change in the rate of sea level rise, and could be a % of the current rate, or in absolute terms (e.g., mm/yr/yr).
    3. If we really want to talk about acceleration changing, then come up with some easier way to express it than "the third derivative",

    ...Boy, its hard to work a simple analogy without getting into the weeds, isn't it?

  38. michael sweet at 08:48 AM on 25 May 2017
    SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Joe,

    I did not realize that you were estimating the change in acceleration.  Tamino's graph may be leveling out but the error bars are wide.  The smooth used is more error prone at the ends.  We will know more in 5 years.

    I would like to withdraw from this conversation to prevent dog piling.

  39. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Hey joe @21.

    I find it strange you do not see the problem. I say 0.35%/yr doubles in 200 years. You say 0.36% doubles in 192 years, essentially the same finding. And you insist "The historical norm has been a rate of 0.36% to 0.4% increase for the SLR."

    Yet the SLR data over the last century or so (a significantly shorter period) shows far more than a doubling in the rate of SLR.

    Now we can add to these contradictory positions that you occupy because you tell us that when you "plugged the numbers into the spreadsheet for each year since 1870, virtually each year agrees with the data from NOAA." Yet when I set your values for SLR increase (1880-1990 0.35%/yr, 1991-2000 0.61%/yr, 2001-2013 0.4%/yr) into a spreadsheet alongside Church & White data (1880 to 2013), the inter-annual SLR variations prevent any checks on an annual basis and the longer-term accelerations in SLR do not match your values, virtually or otherwise.

  40. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Michael Sweet - "Today, global sea level is 5-8 inches (13-20 cm) higher on average than it was in 1900. Between 1900 and 2000, global sea level rose between 0.05 inches (1.2 millimeters) and 0.07 inches (1.7 millimeters) per year on average. In the 1990s, that rate jumped to around 3.2 millimeters per year. In 2016 the rate was estimated to be 3.7 millimeters per year, and it is expected to jump higher by the end of the century."

    That quote is consistent with my statement and the math.  The Smithstonian artcle, the Church white chart is likewise consistent.  

    This graph clearly shows that sea level rise has not decelerated since 2000. Tamino claims that the rise is accelerating. His graph shows a rate of approximately 3.0 mm/yr in 2000 increasing to 3.5 mm/yr in 2015. There is a wide error bar but the rate cannot be claimed to be decreasing.

    A change from 3.0 in 2000 to 3.5 in 2015 is 1.03% (based on the Tamino) vs the 6.1% rate from 1990 to 2000. This difference of 1.03% from Tamino's data and the 0.4% based on the smithstonian/NOAA data is well within the error bar.  

    It should be noted that everal comments later and only one person has crossed checked the math.

    After adjusting from 

  41. michael sweet at 07:45 AM on 25 May 2017
    SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Joe:

    In your citation in the Smithsonian it says:

    "Today, global sea level is 5-8 inches (13-20 cm) higher on average than it was in 1900. Between 1900 and 2000, global sea level rose between 0.05 inches (1.2 millimeters) and 0.07 inches (1.7 millimeters) per year on average. In the 1990s, that rate jumped to around 3.2 millimeters per year. In 2016 the rate was estimated to be 3.7 millimeters per year, and it is expected to jump higher by the end of the century."

    I think this quotation contradicts your claims.  Please quote from the paper to support your claims.  It appears to me that you have misread your source of data.

    This blog from Tamino analyzes the recent sea level rise.  Here is a key graph:

    Tamino sea level graph

    This graph clearly shows that sea level rise has not decelerated since 2000.  Tamino claims that the rise is accelerating.  His graph shows a rate of approximately 3.0 mm/yr in 2000 increasing to 3.5 mm/yr in 2015.  There is a wide error bar but the rate cannot be claimed to be decreasing.

  42. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    MA Rodgers - Following up on your comment - It appears from the follow up comments that you were the only one who attempted to check the math which I appreciate.  (simple excel calculation) and yes, 0.36% is a doubling in approx 200 years.  (or approx 192 years) Again I appreciate someone actually reviewing the math.

    The historical norm has been a rate of 0.36% to 0.4% increase for the SLR.  When I plugged the numbers into the spreadsheet for each year since 1870, virtually each year agrees with the data from NOAA.  With the exception of the years 1990-2000 when the rate of increase jumped for those ten years to 6.1%. Which then reverted back to 0.4% annual increase.  

    With regard to J Hartz comment, The data is through 2015.  The study John cites is from data through early 2016 (published 2017).  I doubt the rate of increase jumped that significantly in 18 months.  Further The actual study is behind a paywall, though based on the data from NOAA, the headline from the WP is more than a little misleading.  The largest increase in the rate of sea level rise occurred during the change in the method of measurement.  (I will add that I have not had the time to confirm if the large increase was due to the change in the methodology of measurement, only that all other years were well within the historical norm.  

  43. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    MA Rodger - Hey joe @12.

    I think your calculations of SLR acceleration need some explanation here. An annual 0.35% increase in the rate of SLR would result in a doubling in the rate every 200 years. With 1900 SLR not much greater than 1mm/yr, how is it we see already SLR well above 3mm/yr, a trebling after a single century (and that before adjustment for terrestrial storeage and aquifer depletion which is calculated to have reduced SLR)? While you do also calculate higher values in recent decades (the 0.61% increase for the 1990s and the 0.4% since 2000), these do not even start to explain all the SLR being measured today.

    I am going to refer you back to the the citation from the smithstonian.  The rate of growth was straight from the data provided which is also from NOAA.  The anomoly in the data was from 1990 to 2000 which had the 6.1% growth in the rate of increase.  Using the NOAA data and the data from the citation, the rate of increase after 2000 reverts back to the norm of 0.4%.  

  44. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Hey joe @12.

    I think your calculations of SLR acceleration need some explanation here. An annual 0.35% increase in the rate of SLR would result in a doubling in the rate every 200 years. With 1900 SLR not much greater than 1mm/yr, how is it we see already SLR well above 3mm/yr, a trebling after a single century (and that before adjustment for terrestrial storeage and aquifer depletion which is calculated to have reduced SLR)? While you do also calculate higher values in recent decades (the 0.61% increase for the 1990s and the 0.4% since 2000), these do not even start to explain all the SLR being measured today.

  45. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Joe @14, "That rate of increase in the rate of sea level rise has been in the 0.3-0.4% range which is a far cry from the IPCC estimate of 2.3%"

    Yes but so what? Some past rate of change does not have to continue forever. The IPCC look at physical processes going forwards. For one example, they are confident positive feedbacks etc will increase the rate of ice melt especially around mid century so they think things will accelerate.

    The following is a  graph of sea level rise for NZ, over the past century and combined with standard IPCC predictions going forwards. The transition from past trends to the predicted larger acceleration is reasonably smooth, so entirely plausible. 

  46. SkS Analogy 4 - Ocean Time Lag

    Thanks for the input Tom.

    I would argue that the difference between 2.85 and 3.0 is minor. You and I are fairly well educated on these matters so I can follow you arguments (I model particle formation in chemical reactors), but the analogies are mostly written for people who have never thought about the effect of the oceans. The time lag of 20, 30, or more years includes many more complex physics, as you point out, but the salient point is that there is a decadal-scale time lag between what we do and when when see the effect, and for my intented audience, that is already news.

    But thank you very much for the additional information you provided.

  47. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    William - CO2 forcing goes up with the log of the concentration,  but since CO2 are actually increasing faster than exponentially the forcing is rising faster than linearly. 

    Taking the Keeling CO2 data yearly averages and running the log of them gives the forcing curve (easy to do in Excel). A linear forcing would show as a straight line,  but the log data shows a rising curve,  demonstrating that CO2 is increasing more than exponentially. 

  48. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    Joe: The research described in this article suggests that your computations and conclusions are dated...

    A new scientific analysis finds that the Earth’s oceans are rising nearly three times as rapidly as they were throughout most of the 20th century, one of the strongest indications yet that a much feared trend of not just sea level rise, but its acceleration, is now underway.

    “We have a much stronger acceleration in sea level rise than formerly thought,” said Sönke Dangendorf, a researcher with the University of Siegen in Germany who led the study along with scientists at institutions in Spain, France, Norway and the Netherlands.

    Their paper, just out in the Proceedings of the National Academy of Sciences, isn’t the first to find that the rate of rising seas is itself increasing — but it finds a bigger rate of increase than in past studies. The new paper concludes that before 1990, oceans were rising at about 1.1 millimeters per year, or just 0.43 inches per decade. From 1993 through 2012, though, it finds that they rose at 3.1 millimeters per year, or 1.22 inches per decade.

    Scientists say the pace of sea level rise has nearly tripled since 1990 by Chris Mooney, Energy & Environment, Washington Post, May 22, 2017  

  49. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    It is worth pointing out that the curve for warming vs Atmospheric Carbon dioxide is  downward curving.  The climate sensitivity theory says that for each doubling of CO2 we have a temperature increase of, say, 3.5 degrees C.  So if we go from 200 to 400ppm this increases the temperature by 3.5 degrees but we have to go from 400 to 800 to get the next 3.5 degree rise.  Of course, this ignores tipping points such as what happens when the Arctic is mostly ice free for a significant part of the summer.

  50. SkS Analogy 5 - Linear, Non-linear, and Coastal Flooding

    The only real question is how fast the rate of sea-level rise will increase (i.e., what will be the doubling time).

    Based on the math, the rate of increase has been fairly constant. (other than the anomoly during the 1990-2000 time frame which is pointed out in the article - though you have to actually run the math to notice).  That rate of increase in the rate of sea level rise has been in the 0.3-0.4% range which is a far cry from the IPCC estimate of 2.3% 

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