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Comments 25401 to 25450:

  1. 'If the world ends in 2100, we’re probably OK'

    It's the 'baked in' bit that is going to prove most troubling as anything we do now is only going to show any effect some 40/50 years or more down the line and current societies look for an instant response to any action/policy. Baked in lag timing and the absence of an immediate response is also going to generate a series of magic cures and all the dangers they potentially carry. Some of the geo-engineering proposals currently thought up carry a huge potential for catastrophe never mind any future Dr. Strangelove's magic elixir that gets promoted as an instant cure.

  2. The science for climate change only feeds the denial: how do you beat that?

    Given that the authors employed "machine learning algorithms that automatically detected clusters of words", it's not immediately obvious how they determined the subects articles to be in the denial of climate science. Words themselves such as "climate" "temperatures", "CO2" do not imply the denial. We should be looking for frases such as "hide the decline" or "it's the sun" (insert the title of any climate myth here) to find the hints of science denial.

    I wonder if such frases were indeed found by the authors. If the "clusters od words" they were looking for were just unrelated, then they possibly jumped to premature conclusions. I want to see the evidence their conclusions were justified (e.g. sample analysis showing strong correlation between the use of certain words and science denial).

  3. 10 Indicators of a Human Fingerprint on Climate Change

    @Tom #90

    thanks To for the response and the net surfing.  Great work :)

    Regards to OLS.  Must be honest,  that is escaping me at this stage.  Need to know what that is before proceeding

     Thank you Tom

  4. 10 Indicators of a Human Fingerprint on Climate Change

    POJO @89, briefly:

    1)  Thankyou for acknowledging and apologizing for your error.

    2)  Annual data is already smoothed from the montly data, so the claim of "no smoothing yet" is false.

    3)  Alexandar et al examine frequency of warm or cold, night and days.  That frequency can not be identified from monthly data, let alone annual data.  Further, Alexandar et al examined the percentage of the Earth covered by warm or cold, nights and days.  For that you need the full gridded data, not a time series.  It follows that your analysis above is in no way a replication of Alexander et al.  Rather, it is only another shot at replicated Braganza et al.

    4)  I do not trust a decadel smooth that returns "observational" values for 2018 from data that terminates in December of 2014.  Ergo your second graph is near to useless.  (I am aware that may not be your fault.)

    5)  Regardless of the merits of the smooth, you appear to back at the game (already refuted) of using smoothed data to discuss the causes of trends in a noisy data set obviously significantly effected by a variety of factors.  However, it may be that you are only trying to illustrate the broad trends.  That being the case, the period of the smooth is appropriate, but the method is dubious, both because of the spurious years added to the tail of the smooth, and because that tail hides a downtick at the end visible in the 10 year running mean data.

    6)  There is nothing odd about cross checking an analysis by checking what happens in an obviously correlated variable.  The relative frequency of warm nights and days is not DTR, but is obviously related.

    7)  Extreme events are weather.  So are daily or monthly measurements of mean temperature or DTR.  Climate, however, is the statistics of weather.  Alexander et al test to see if the statistics of warm or cold, nights and days changes over time.  It does, and with a consistent long term trend.  That later represents a change in climate.

    More detailed comment:

    A)  Here, and in comments elsewhere, you talk about refuting a fingerprint.  If you look at the original post, and the accompanying illustration, it talks about the pattern of 10 features being a fingerprint.  By that analogy, an individual item among those ten may be shared with other sources of warming (as individual details may be common between two peoples fingerprints), but the overall pattern of all 10 is unique.  Consequently, as it stands you have not refuted any fingerprint.  You have not even refuted the DTR detail.  At best you have shown this particular detail to have multiple causative factors (as was already known, and is the actual IPCC science, contrary to your claims), and so that its weight in contributing to the overall "fingerprint identification" is small.

    B)  The OLS DTR trend since 1980 is flat and not significant (0.01 +/- 0.12 C per century).  As twice explained above, and twice ignored, that has a prima facie explanation in the two large volcanoes in the late twentieth century, the two super El Nino's in the same period, and the two large La Nina's late in the data period.

    I can now add to that that if you cherry pick your start period to coincide with the 97/98 El Nino, you can just squeeze a positive statistically significant trend out of the data (0.45 +/- 0.32 C per century).  In all other periods less than 30 years I have checked for a trend, the trend has not been significant.  Further, the data is obviously autocorrelated, so the OLS trend calculation will overestimate statistical significance.  Using a more appropriate model, it may well be that even the 1997-2014 trend is not statistically significant.  I have not checked that, however, as the maths is beyond my pay grade.  Further, the most recent trend from 2012 is strongly negative (-3.03 +/- 4.63 C per century).  That is entirely unsurprising considering the visible relationship between DTR and ENSO states.  Of course, so short a trend is just weather, but that relationship does suggest the 2015 data will eliminate any statistically significant trend from 1997.  In other words, trends since 1997 are too short to be representative or changes of climate in regards to mean temperature, and are certainly too short to represent changes in climate in DTR (which typically has a lower trend).

    More later.

  5. 'If the world ends in 2100, we’re probably OK'

    Paul @2

    I agree. Our minds are only focussed on the next 85 years, and struggle even with that time frame. This may  be because our minds are not  wired up to deal with long term problems. We are programmed to deal with short term threats.

    Of course some people may be better at grasping long term issues than others. The article below is an interesting discussion of scientific evidence of how our minds deal with different time frames and the relation to climate change.

    http://www.theguardian.com/sustainable-business/2014/nov/10/brain-climate-change-science-psychology-environment-elections

  6. 'If the world ends in 2100, we’re probably OK'

    What a great article. This small minded focus on the current 85 years ahead has been causing me concern for many years.

    Its as if our watch ends at that point and to hell with the future after that.

    When the ice sheet data is added into the mix with sea level rise over the comming many centuries the future looks much more of a concern.

    Why it matters is that the Coal mine policy of the current Australian Government is at complete odds with statements made at the recent Paris talks.

    Wanting to keep warming to 1.5 degrees C means no more new coal mines in Australia and a rapid wind back of current mines. 

  7. Climate scientists' open letter to the Wall Street Journal on its snow job

    ryland @13

    1998 (or 97) is the critics go-to simply because that's a good year to begin an analysis to get a slower or non warming trend, depending on data set. Starting at this point in the temp record coincides with the largest el Nino of the 20th century. Critics initially were not phased by that.

    Now that we're having another large el Nino and a record year, critics are suddenly interested in this short-term effect, and use it to downplay the heat of 2015, and any resulting uplift in trend (soon to be seen in the satellite record, which has a longer lag to el Nino than surface, and which they're already downplaying).

    If you want to remove the el Nino effect, then do it for all years and then rank the hottest years. There will be less variation and more overlap of the uncertainty intervals year to year. The trend, however, becomes less suceptible to interannual variation for the short periods critics are interested in. With ENSO removed, there is no pause. That's what selecting 1997/98 as a start point did for their arguments, and why they do not like to remove the effect, even though it's currently a hot topic to downplay 2015.

    HadCRUt4 and NOAA have 2015 at 1st rank even factoring the uncertainty. GISS has a very small overlap - 2015 is the hottest year to only 94% confidence.

    To repeat - remove ENSO from the record and there is no pause. Leave it in and 2015 is the hottest year beyond uncertainty in 2 out of 3 surface data sets (the Japanese global record looks like clearing this hurdle to, for 2015), and very nearly for the 3rd.

    I'm not sure what you're interested in, but I hope these comments help.

  8. 'If the world ends in 2100, we’re probably OK'

    This is a great subject.  Possibly the most important aspect of the entire issue.   Thank you and more please. 

  9. Climate scientists' open letter to the Wall Street Journal on its snow job

    I think we are too kind and tolerant of deniers.   Buzz Aldrin handled deniers differently https://www.youtube.com/watch?v=1wcrkxOgzhU

    We should remember this is not just impish public relations squabbling about history,  this is vital information to be used for future survival - and deceivers should not command our respect, nor our attention.  Such named obstacles should be routed around or ignored, but their actions not forgotten. 

  10. 2016 SkS Weekly News Roundup #5

    The article in Newsweek about FLorida is very strongly worded.  More of this type of article in the mainstream press will catch the general public's attention.  From the article:

    "South Florida business leaders and even many local Republican politicians are no longer in climate change denial. Now, deep in the fine print of resolutions and memoranda being passed around among the various task forces in the area, one sees the mantra “Elevate. Isolate. Relocate.” Abandonment of some parts of the community to water is now accepted as unavoidable. Even the most conservative estimates assume that a percentage of the next generation of Floridians will become internally displaced Americans, climate change refugees."

    The author uses high estimates of sea level rise and gives examples of people currently dealing with floods today.  Republican politicians Jeb Bush and Marco Rubio are referred to as deniers.

    I think articles like this impress people more in the long run than scientific articles becasue they are easier to read.  Everything helps.

  11. The Quest for CCS

    Thanks, Sharon, for your expanded comments.

    I would still be interested to know your estimate (or better, an authoritative figure) for the number of Canadian households that are off the electric grid. But please don't trouble to dig that out, if you feel my request is onerous for you!

    My own region is known for its 100% lack of skiing . . . and 100% of households possessing air-conditioning. So if I may make an easier request . . . and ask you what your local electricity cost [marginal cost] per Kw-hour averages out as. And also ask you a more personal question ~ how many Kw-hours [alternatively: BTU's] does your house require in total year-round heating? And how that compares in oil cost for you.

    I hope that there may be some marginal but significant scope for your local houses to "super-insulate" ~ but I realise we are talking multiple thousands of dollars, there, for the upgrade (if any possible!). Of course, the whole question here is the long term alterations that will happen in energy supply in Canada (and worldwide).

    As a partial comparison : a relative of mine living in Germany, has changed houses, and, although grid-connected, he uses the previously-installed oil heating. I presume that this is because his marginal (oil) cost is lower ~ without accounting for the externalized costing of the oil. His immediate overall heating costs have dropped, since he installed triple-glazing in the windows and super-high insulation in ceilings/walls. The installation costs were high ~ many thousands of Euros ~ but that amount was supplied as an interest-free loan (from the German government) specifically ear-marked for house insulation upgrades.

    That seems an enlightened policy by the government ~ and I hope your recent "governmental upgrade" may bring similar policies to Canada. Certainly we need that sort of change too, right where I live !

  12. The Quest for CCS

    Sharon,

    It seems to me that the only reason natural gas is cheaper for you to use is because you do not pay for the very large damages that you cause when you use it (this applies to all fossil fuel use, I don't want to pick on you).  If you have to pick up your portion of the cost to move Miami, Norfork and Bangladesh you might find out that methane is not as cheap as renewable electricity any more.  If we build a power system that does not use fossil fuels (wind, solar and nuclear if it is economic) than you can be warm and not contribute to the distruction of others homes at the same time.  Andy's link provides one alternative for you that is hopeful.

    The issue with AGW is that a small amount of CO2 from me does not seem all that bad.  When we add up all those small contributions humans are damaging the global commons.  In order to fix the problem of damaging the commons everyone must move to low carbon technology.  

    If a carbon fee is implemented that covers the damage carbon does than we can see what is really the cheapest way to go.  Fortunately, alternatives have been developed that can produce all our energy without damaging the climate.

  13. Study finds slim odds of record heat, but not as slim as reported

    I take "13 of the past 15 years were hottest on record" to mean that 13 of the past 15 years are in the top 15 hottest years of the temperature record. Including 2015, it's 14 of the past 15. Another way to put it is that every single year of the 21st C. (which started in 2001) was hotter than every single year of the 20th C., with the single exception of 1998.

  14. Climate scientists' open letter to the Wall Street Journal on its snow job

    "the post-1998 regime", in other words, abnormally warm.

    The "coolest" year of the 21st century, 2008, was still warmer than all but one year of the 20th century.

    I don't think people realize that a year which last century would have been warmer than 99 out of 100 years now counts as a very "cool" year. That's how much warmer the Earth is now. So, I don't think that's what they were trying to say, but yes, without the El Nino of 2015 we would still be having very abnormally high global temperatures.

  15. The Quest for CCS

    Sharon, thanks for your thoughtful comments.

    I admit that I was a little snarky referring to Shell "boasting" about their CCS project, but I was annoyed at the fact that they were giving themselves a big pat on the back for operating what is largely a taxpayer-funded project. 

    I didn't intend to scare people about having CCS in their neighbourhoods and the Shell Quest project appears very safe from what I have read about it.  However, if CCS is deployed at the massive scale that is required to make a dent in climate change, there are bound to be accidents as companies try to cut costs and are eventually forced to use less-than-optimum sites.

    In sedimentary basins that have been pierced by tens of thousands of oil and gas wells, some of them leaking methane today, it may prove hard to find good disposal sites.

    My main point, though, was that CCS in populated areas is bound to run into public opposition. The recent events in California with the uncontrolled blowout at the methane gas storage site are not helpful at all, even if the possibility of a CO2 blowout happening is much lower. 

    I'm not anti-CCS, by the way, just skeptical that it can deployed as a silver bullet at scale and in time to solve the climate crisis. There probably are places (eg, in the oil sands or at gas-fired power plants) where CCS could play a useful role. 

    I lived in S Alberta for twenty-five years and I'm well aware of how long and hard the winters can be (and that N Alberta has it much worse). Home heating in the Great White North does indeed seem to be a difficult problem to solve without fossil fuels. I was encouraged to read recently about the Drake Landing project in Okotoks. See comment #9 on this thread on the Alberta carbon tax. Solutions like that, along with retrofitted, super-insulated homes might get us a long way there. Still, when it's -40C for a weeks-long cold snap, some form of furnace inside the house is likely required. 

  16. Climate scientists' open letter to the Wall Street Journal on its snow job

    That should be WoI@15 not @13

  17. Climate scientists' open letter to the Wall Street Journal on its snow job

    WoI@13  I don't think 1998 was chosen because it was an El Nino year per se as you suggest by your comment "What was so special about 1998? Oh yeah, an El Nino year."  but because the El Nino in both 1997 and 2015 were very large.  From comments above it may be that the 2015 El Nino, like the 1997 El Nino, will have a greater effect on the global temperatures in the following year. 

    It has been estimated by Gavin Schmidt (here) using the Oceanic Nino Index (ONI), that the 2015 El Nino contributed about 0.07C to the increased temperature.  Excluding that the temperature would have been 0.8C greater than the 1951-1980 average.  Others, using the Multivariate ENSO Index (MEI), calculated that El Nino contributed about 0.09C.  All that said, after removing the El Nino contribution, 2015 was the hottest year by only 0.06C This is less than the margin of error for estimates of the global temperature between the 2015 temperature and the next hottest year 2014 which iself had only a 38% probability of being the hottest year ever.  Claiming hottest year ever, based on differences from the mean that are less than the error of estimate may be one of the reasons for the comment of alogar @10.

    This has been countered by climate scientists who claim 2014 had a greater chance of being the hottest year ever than did 2005 or 2010.  Prtesumably the same claim will b made for 2015. 

  18. 10 Indicators of a Human Fingerprint on Climate Change

    Tom @88

    Yes my apologies for getting the decadel wrong.  That was a bad error.  So I am now using the annual data,

     

    Note that Alexender etal data was based on data from 1951 to 2003

      So i have now accuired the annual (yearly) data from KNMI / CRUTEM4.  No smothing applied yet

    The story does not change.  DTR saw a rapid decline and has since stabalised and even increased

    Annual DTR

     

    Now below the decadal smooth is applied.  And it is evident as per ALexander etal that infact the trend remained intact until 1998-2003.

    Since then the decadal DTR has since increased.

    10 year smoothing on annual DTR

     

     

    I find it odd that the DTR is now being assessed in terms of cold nights and warm night extremes.

    The science is clear that as GHG's increase so to does DTR decrease.  Extrene events are termed weather by many!!!!!  

    No matter what variation is done to the monthly data it is evident that the change has at the very least increased from 2000 ish.  Which coincides with available data at the time that Alexander etal had.

    As you alluded to my earlier comment cherry picking short events is weather.

    So I have now heard what you have said and now have attached the climate charts as per above.

     

    Perhaps this change in DTR also can be used to best highlight the current pause.  

    As per Brazanghi final summary that DTR can be used to

    ....Diurnal temperature range appears to be a suitable
    index of climate variability and change,......

    page 4 of 4 SUMMARY

  19. Climate scientists' open letter to the Wall Street Journal on its snow job

    @ 1:

     

    >>Michaels: “Without El Niño, temperatures in 2015 would have been typical of the post-1998 regime.” There's that stubborn obsession with 1998 as a start date again. What was so special about 1998? Oh yeah, an El Nino year. Michaels now intends, for his business audience, to shackle 2015 with the same provision he just spent the last 18 years asking them to ignore of 1998.<<

    I forecast some weeks ago here that the denialists would argue that the present el Nino is unusual and shouldn't count: the only thing that surprises me is that it took them so long to come up with it!

  20. The science for climate change only feeds the denial: how do you beat that?

    jipspagoda

    The gridlock might remain, but we are comparing people who view the real world through the lens of science with people who believe in fairy tales.  The latter are welcome to call the former fanatics, but the real world is the ultimate arbiter.

  21. 10 Indicators of a Human Fingerprint on Climate Change

    POJO @86 and 87, evidently you do not know the difference between climate and weather.

    Braganza et al were looking for the effects of change in climate on DTR, not looking for the effects of short term fluctuations on DTR.  Therefore they chose a smoothing value that eliminated such fluctuations, but left the climate effects unaltered.  The effect of that was to weaken the correlation of DTR to Mean temperature from to -0.37 using the montly data, relative to their reported -0.24.  It leaves the trend in DTR unchanged at -0.36 C per 50 years (slightly misreported by me in error in my prior post, for which I am sorry).

    In contrast to Braganza et al, you were looking at the effects of fluctuations over a short interval, particularly highlighting a fluctuation whose total duration in the smoothed data was just 10 years.  That is, you were looking at weather.  Yet you chose a smoothing window that largely obscured the short term fluctations.

    With regard to Alexander et al, they used unsmoothed daily data.  In the timeline graphs, they showed the annual data along with a smooth.  In the mapped graphs they showed the decadal trends.  The difference between a decadal trend and an annual trend is just that the former is the later multiplied by 10 (ignoring rounding issues).  That is, the difference is merely a matter of the unit chosen to report the result - not the value of the result.  In other words, what Alexander et al did was nothing like what you did.

    To summarize, you apparently do not know what was wrong with your smoothing, despite my having pointed it out.  In defense of that, you point to a greater smoothing by Braganza without noticing their very different purpose to yours.  You compound your error by accusing Alexander of making a similar error, when they did nothing of the sort.  (The later strongly suggest incompetence rather than deceit as the reason for your inappropriate smoothing.)

    Finally, inorder to check Braganza's result against the monthly data, I downloaded the monthly Crutem 4 data.  As a result I was able to compare the normalized inverted DTR data to the Mean data and can confirm that the sudden change in slope is a feature of both.  The difference in the two largely arises because the effect of the two large volcanic erruptions (El Chichon in 1982; and Pinatubo in 1991)  have same sign on DTR and Mean temperatures.  That artificially flattens the rapid slope visible from 1960-1980.  The trend from super El Ninos (1983, 19897/98) to large La Ninas (2008, 2011/2012) artificially reduces both the positive trend in Mean temperatures and the negative trend in DTR. 

  22. Models are unreliable

    Can someone update this to show the 2015 data?

    Can I help?

  23. Climate scientists' open letter to the Wall Street Journal on its snow job

    Alogar,

    Perhaps you should read Arhennius from 1896.  In this paper he predicts that the nights will warm more than days, winter will warm more than summer, the Northern Hemisphere faster than the Southern, faster over land than sea and fastest in the Arctic.  That is five predictions made over 100 years ago that all have been shown correct as data became available.  

    If you actually read about the science you will find out that scientists have made hundreds of correct predictions, you are just uninformed of the facts.  That is the problem in the Climate Debate.  People like you who are uninformed want their ignorant rants to count the same as thoughtful, informed commentary from scientists.

    Moderator Response:

    [RH] Typo fixed.

  24. Climate scientists' open letter to the Wall Street Journal on its snow job

    alogar: Watch climate scientist Ray Pierrehumbert's AGU conference lecture "Successful Predictions."

  25. 10 Indicators of a Human Fingerprint on Climate Change

    Dear Tom,

    In regards to your second paper  Alexander et al of point numebr one.  I note that his observations are based on decadel trends

    4. Results

    4.1.1. Absolute and Percentile-Based Temperature
    Indices

    [29] Figure 2 shows the decadal trends in extremes
    between 1951 and 2003 for the percentile-based temperature
    indices.

     

    and then 

     

    4.1.3. Seasonal Results
    [35] Warming is observed in all seasons. Figures 4 and 5
    show decadal trends and time series of global anomalies for
    the seasonal occurrence of cold and warm nights, respectively

     

    4.2.1. Annual Results

    ......and  Decadal trends in the simple daily
    intensity index (Figure 6d) also agree well with the
    results from Kiktev et al. [2003] although unlike Kiktev
    et al. [2003] the decreasing intensity in the western
    United States is not identified to be statistically significant
    in this study.

     

    Again decadel trends.  I have used the ever reliale CRUTEM4 data.  A 12 month average shows the increase in DTR,  A 60 month average highlights it. 

    I am at aloss why you do not accept basic monthly data on a 60pt average yet except in your papeers cited the 120 month point averages.

    Note that the finger print as outlined in point number 7clearly states that 

    If an increased greenhouse effect is causing global warming, we should see certain patterns in the warming. For example, the planet should warm faster at night than during the day. This is indeed being observed (Braganza 2004, Alexander 2006).

    I have shown 35 (ish)years of data that contradicts this  Is their something else with a 60 or lower point averagethat can corrorbarate DTR as a fingerprint.  Cloud cover maybe?  

    Ciou for now

  26. 10 Indicators of a Human Fingerprint on Climate Change

    Tom Curtis,  For some unknown reason I have just spent a1/2 hour responding.  I am peeved that  it did not go through after posting.

    Nonetheless,  here is the shortened version

    Your very first paper cites Brazanga,

    He in the very first paragragh states that he is using decadel data.  He then go on to say in section 3

    under 

    3. Simulated and Observed Changes in
    Diurnal Temperature Range

    Paragraph 2 of section 3

    [10] We use the decadal standard deviation as a measure
    of variability in DTR

    I find this very peculiar that you have just finshed berating me for being less than honest and yet their is no problems on your behalf to use a paper that uses decadel averages..  Am I perplexed.

    YES I AM

     

    Further to that I except that extreme weather events aka EL NINO's do in fact enhance the DTR signature as stated by Brazanga.  that is observed data even in the 60 month average

  27. Climate scientists' open letter to the Wall Street Journal on its snow job

    ryland @8.

    I have a graph that you may find useful here (usually 2 clicks to 'download your attachment'), that compares the 1997/98 monthly average temperatures (surface & satellite) with what's happened so far in 2015/16. MEI is the Multivariate ENSO Index.

  28. Climate scientists' open letter to the Wall Street Journal on its snow job

    Apologies.  On reflection it occurred to me that I don't know how the temperature increase  due to El Mino can be  estimated to "tenths of a degree".  Can an estimate be that precise?  And how is the estimation of the proportion due to El Nino actually made?  I also don't know how Patrick Michaels can assert the temperature rise in 2015 was due to El Nino without some attempt to substantiate that assertion.  

    I guess this is the problem with explaining climate science to the layman, its not possible to be as definitive as, for example, I can be in giving the results from some   biochemical measurement.

  29. Climate scientists' open letter to the Wall Street Journal on its snow job

    Ryland,

    Tamino has an analysis that might answer your question.  Becasue the highest temperatures were aafter the El Nino peak in the Pacific we have not yet seen the full effect of the 2015 El Nino.  COme back in a year to see what the final data say.

    Claim 3 is false.  If the next six months show even more warming some of that might be the El Nino effect.  The claim made was that the temperatures already measured were due to El Nino.  Future temperatures cannot effect our analysis of wether past temperatures were unusually high.

  30. Climate scientists' open letter to the Wall Street Journal on its snow job

    Glenn Tamblyn@5 Thanks for that but if what you suggest does in fact occur in 2016, won't that lend some weight to "Claim 3"?  Was the writer somewhat premature in categorically stating "Claim 3" is false?

    But all that aside, is it correct to argue that as SST is higher now than in 1998 and as the 2015 El Nino is about the same as that in 1998, any El Nino associated rise will likely be in percentage terms, less than that in 1998?  I'd have thought so but I'm not a climate scientist 

  31. Climate scientists' open letter to the Wall Street Journal on its snow job

    Ryland

    Surface temps may not follow the ENSO indicators exactly. The 1998 El Nino as indicated by the SOI actually had one peak in mid 1997 and a second around Jan 1998. But the SAT temperature peak was Feb to June 1998.

    We probably should wait 6 months before drawing conclusions.

  32. Climate scientists' open letter to the Wall Street Journal on its snow job

    The  comment here suggests the current, large El Nino had little impact on global temperatures:

    "Claim 3: “Without El Niño, temperatures in 2015 would have been typical of the post-1998 regime.”

    This is false. Scientists estimate that the current El Niño event contributed only a few tenths of a degree to the record globaltemperature observed in 2015.

    In contrast the comment at RealClimate on the 1998 El Nino (here) suggests it had a ignificant impact:

    "1998 was so warm in part because of the big El Niño event over the winter of 1997-1998 which directly warmed a large part of the Pacific, and indirectly warmed (via the large increase in water vapour) an even larger region"

    As both the El Ninos of 1998 and 2015 are of comparable  magnitude why does  the 2015  El Nino, apparently, have a lesser effect than that of 1998?

  33. Climate scientists' open letter to the Wall Street Journal on its snow job

    Nature Climate Change has an editorial out entitled "Balancing Act" which calls for more attention to be paid to the steady rise in ocean heat content, as opposed to the variability in the global surface temperature charts.

    The editorial refers readers to an article published in the same issue, i.e. "An Imperative to Monitor Earth's Energy Imbalance" by Von Schuckmann et.al., (with Jim Hansen and Kevin Trenberth being two of the et.al.) Quoting from this article:

    "The current Earth's energy imbalance (EEI) is mostly caused by human activity, and is driving global warming. The absolute value of EEI represents the most fundamental metric defining the status of global climate change, and will be more useful than using global surface temperature."

    When debating such as Michaels, it seems to me that pointing out that this "most fundamental metric" is best estimated at present by measuring the change in ocean heat content, and further, that the fact that the planet is warming, beyond doubt, is shown by the relentless steady rise in ocean heat content even as the global surface temperature charts fluctuate.

    Nature Climate Change also recently published the Gleckler et.al. analysis of ocean heat content increase which contained this chart:

    Ocean heat content doubles since 1997

    which shows, according to their analysis, that ocean heat content doubled since 1997. 

  34. The science for climate change only feeds the denial: how do you beat that?

    jipspagoda:

    The blog wars over climate science have minimal impact on the real world especially outside of Western democracies.

  35. The science for climate change only feeds the denial: how do you beat that?

    There is fanaticism for the cause on both sides of the aisle.  I have seen that Upton Sinclair quote, used by KR above, to describe Hansen, Mann, and others over on Climate Etc.   If you read the comment threads on Climate Etc  you will find them eerily similar to the ones on this site, only it is the warmunistas they would like to "marginalize". Gridlock remains.

  36. The science for climate change only feeds the denial: how do you beat that?

    I was a bit slow to realize that I've seen this before.  Last year I read an article in a local magazine describing an interesting psychological phenomenon.  A test group of people with strong religious convictions were confronted with "apparent" evidence that conflicted with their beliefs.  The result was that they clung ever more tightly to these beliefs.  This is exactly the same phenomenon we see with the above-mentioned climate-change deniers.

    I've thought about this a lot and I've come to the conclusion that there are three types of denier: (1) psychopath, (2) fanatic and (3) sucker.

    The psychopath knows global warming is a threat but wants to maintain his wealth and power for as long as possible — and to hell with future generations.

    The fanatic has a worldview that has no place for global warming — he believes that action against climate change would threaten his way of life and threaten his worldview.

    The sucker is the fool with no understanding of science, who has fallen victim to the massive anti-climate-science campaign waged by the psychopaths.

    Since we can do nothing about (1) and (2), we should bend all efforts to enlightening (3).

    One method I tried with an acquaintance who mentioned a particular climate myth was to tell him that he'd been caught for a sucker by a bunch of snake-oil salesmen — with equal emphasis on the "snake" and the "oil" — and I described the anti-climate-science campaign.  He has been silent on the subject ever since.  I don't know if that's a good sign or a bad sign.

  37. The Quest for CCS

    In 2003, this study would have indicated GSHP would have been a viable heating option for much of Canada much like such systems are are in very northern europe. How do prices stack now? Non-carbon energy sources certainly have a price but then so do FF in terms of climate damage and for that matter CCS. Given cost of CCS, is it really a cheaper option than the alternatives?

  38. Sharon Krushel at 10:45 AM on 29 January 2016
    The Quest for CCS

    Eclectic @#51,

    We are conncected to the grid for electricity, but we have natural gas furnaces because, currently, electric heat is only considered suitable for three-season climates (e.g., places like Vancouver) as the cost of heating with electricity through a long, cold winter is prohibitive. Even heating with natural gas is a financial burden for lower-income families.
    Most of our electricity currently comes from coal and gas. Only 2% is from hydro, 4% wind, and 3% biomass, although there is proposed generation with projects underway for thermal and renewables.
    My concern is that we’re going to need a great deal of innovation in order to replace the energy needed from fossil fuels without causing massive land use and food supply problems. For example, the hydro dam project currently in question near us would flood a significant unique river valley subclimate agricultural area that would have allowed us to grow more food locally.
    This is why I support CCS as we transition to renewables. For some areas of the world, it’s going to be a while before we can survive without fossil fuels, so we should reduce the CO2 emissions as much as possible in the mean time. And it doesn't make sense, financially or environmentally, for Canada to import oil.

    Canada does not have a large population compared to the US, but many of us have nine months of winter and three months of bad skiing. :) In reply to bozzza @#52 and Philippe @#53, we don't consider our environment to be extreme, and I'm not aware of our being subsidized by tax payers. In any case, I love winter as long as I have a warm home. If we all moved to a more moderate climate, that would cause population shift problems.

    I just thought I'd offer a Canadian perspective. We're targeted a lot as the culprits of climate change, even though we only contribute 2% of the global emissions. Considering our vast area (transporation challenges) and frigid climate, I think we're doing well, and we're striving hard to do better. We're not boasting; we're just communicating in practical ways that we care about the environment too.

  39. 10 Indicators of a Human Fingerprint on Climate Change

    POJO @83 and 84:

    1)  Braganza et al show that DTR has a correlation to T mean of -0.24 (ie, as temperature increases the DTR falls), and that DTR has a trend of approximately 0.08 C /decade (0.4 C/50 years).  They specifically show that "This trend is due to larger increases in minimum temperatures (0.9C) than maximum temperatures (0.6C) over the same period" which is inconsistent with the primary driver of the warming being increased insolation or decreased cloud cover.

    Alexander et al show that the frequency* of warm nights has increased faster than the frequency of warm days, and that the frequency of cold nights has decreased faster than the frequency of cold days:

    (* technically the average % of land area experiencing a warm night etc.)

    They use a different, and much more extensive dataset than used by you or Braganza et al, and do not show the large fluctuation in trend evident in your graph @78 between 1960 and 1980. That suggests the large fluctuation in trend may be an artifact of the data set.  Note further that Braganza et al (which used an earlier version of the dataset you use) excluded cells which had less than 40 years of data between 1901-2000.  (This raises the possibility that that odd variation in trend is an artifact of variation in reporting stations over that period.)

    In any event, the graph you show does not contradict either of the findings by Braganza et al, nor the findings by Alexander et al.  Nor do you show any analysis that suggests that it does.  Frankly that should be the end of the story.  Eyeballing of data does not trum peer reviewed analysis.

    2)  Being a stickler for accuracy, what I suggested was that you deliberately altered the smoothing window.  I made no speculation as to why you altered that window, but did note that the move eliminated relevant data (such as the El Nino related trough in 97-98).

    I note that you then drew particular attention to the "apparent diversion" from 1985-1993 which is at least partly an artifact of that smoothing window (due to the aggregating of the effects of the 1983 volcano plus El Nino with the 1988 El Nino due to the five year smoothing window), and whose prominence is owed to the smoothing away of peaks of similar magnitude.  That shows that your deliberate change of smoothing window was either due to dishonesty or utter carelessnes with the data.  Again, I made no speculation as to which, but either is reprehensible.  Particularly given that you are attempting to refute peer reviewed literature by the mere eyeballing of data.

    Finally, as I am being a stickler for accuracy (and as this inflation of language gets my goat), you have not "refuted" the non-existent inference that you are dishonest.  To refute something, you need to mount a successful argument to the contrary.  Nor have you even rebutted it, for which you actually need to mount an argument.  All you have done is reject the claim.

    I will accept that rejection on face value, and from my imputed dichotomy infer that you are as careless with the presentation of data, as you are reticent in actually presenting an argument and/or analysis.

    3)  You ask "...is their an explanation as to why DTR has not decreased."  I have already provided one @ 82:

    "From the first graph over the same period, and by eye, I would suggest that DTR decreases as a result of volcanic erruptions, and also as a result of El Ninos; and that it increases as a result of La Ninas, and that this explains the recent history. ... However, if that is the case the recent history of EL Nino's and volcanic erruptions would result in a spurious upward trend in DTR from 1980, despite the fact that the trend is flat."

    To double check on my interpretation, I have looked at the 12 month running mean data in 10 year windows centered on major ENSO and/or volcanic events and can confirm the relationship ascribed.  Ergo, the strong volcanic erruptions (1982/1993) coupled with the super El Ninos early in the period (1983, 1997/98) and strong La Ninas late in the period (2008, 20011/12) would definitely result in a spurious positive trend in DTR.  That the trend is instead flat (0.00 C/decade) shows there is some countervailing factor resulting in a negative trend.

    In short, your special window is merely another example of a cherry picked pause such as those in mean temperature extending from 1997.  You are merely able to extend it further because of the lower trend in DTR and the coincidence that volcanos and El Ninos have the same sign in influencing DTR.

    The accelerating decrease in DTR you refer to is an artifact of your own imagination, given the small relative effect on DTR and the lag between forcing and temperature response.

    4) Your case has continued to be based on eyeballing and bald assertion.  Absent actual mathematical analysis of the data in support of your position, I doubt you will have anything new to say on this topic worth responding to (and which I have not already dealt with).  Ergo absent that analysis, do not expect further responses.

  40. The science for climate change only feeds the denial: how do you beat that?

    To change a mindset you need to understand it before you try. If those with the ardent denier mindset have considerable political power then the problem is acerbated.

    The ardent climate change denier mindset that is being encountered today is similar in nature to the mindset of the ardent believers in the righteousness of slavery before its abolition. Slavery was accepted, even justified, by many people who thought of themselves as highly moral. Coincidently, their beliefs were also to their advantage. It took many many years to overcome the prejudice that underpinned the institution of slavery. In Britain slavery was finally outlawed though Parliament. In the US, it took a Civil War. In France and in much of Europe, it took the French Revolution and Napoleonic Wars to do so. Even so, in Belgium, King Leopold was still exploiting slavery in 1900. Today,  around the world, remnants of slavery still exists, but at least it is illegal. So it took a long long time to overcome the prevailing mindset towards slavery which was the centre of the economy. It also took the technological advances of the Industrial Revolution.

    The other aspect to overcoming ardent climate change denial is how do you make a scientific argument that is effective and will change minds. It is much the same as was encountered before Evolution became accepted scientific theory. As the evidence accumlated, due to Darwin's diligence in making the argument and the leading of the debate by his scientific supporters, Evolution became accepted very quickly within the scientific community. The fundamental tenets of climate science have also been accepted by the majority of scientists. However, Evolution is still challenged by many outside the scientific community due to their fundamental non-scientific beliefs. Today, climate science is being challenged by people whose fundamental non-scientific beliefs and economic advantage will be compromised by it.

    The only thing that can be done is marginalise ardent climate change deniers and minimise their impact. It is more important to change the minds of the genuinely sceptical, not to expect an epiphany in ardent deniers.

    Unfortunately, unless the world's wealthiest 62 individuals change their minds becaused they control more of the world's wealth than the poorest 50%, it is unlikely that anything effective combating climate change will happen in the time needed. It certainly won't happen because of what the world's poorest 50% think. Perhaps, concentrating on the economic case and arguing how the wealthiest 62 may lose their money if they don't act on climate change might be a more effective approach.

  41. Tracking the 2°C Limit - December 2015

    TonyW... It's definitely right around the point where we'd expect the satellite data to make a big jump. The UAH data in 1997/98 went: Oct. 0.08, Nov 0.07, Dec. 0.24, Jan. 0.47, Feb. 0.65, Mar. 0.46, Apr. 0.73... and then headed back down. So, Dec had already shown a solid jump. This one might be a little more delayed even though the ONI data shows them running very similar trajectories. 

    Jan/Feb should be very interesting either way.

  42. Climate scientists' open letter to the Wall Street Journal on its snow job

    ubrew12...

    Re. "stubborn obsession with 1998", as someone mentioned a while back in a comment on tamino's board: El Ninos on the left side of a graph do not count to a denier.

  43. Climate scientists' open letter to the Wall Street Journal on its snow job

    Michaels: “Without El Niño, temperatures in 2015 would have been typical of the post-1998 regime.”   There's that stubborn obsession with 1998 as a start date again.  What was so special about 1998?  Oh yeah, an El Nino year.  Michaels now intends, for his business audience, to shackle 2015 with the same provision he just spent the last 18 years asking them to ignore of 1998.  And his curiously uncritical audience will probably buy it.

  44. Record hot 2015 gave us a glimpse at the future of global warming

    OPOF,

    Loth to keep posting off-topic, this is my last one.

    SkS, I think, is doing what Steven Schneider said he was doing.

    On the one hand, as scientists we are ethically bound to the scientific method, in effect promising to tell the truth, the whole truth, and nothing but — which means that we must include all the doubts, the caveats, the ifs, ands, and buts. On the other hand, we are not just scientists but human beings as well. And like most people we'd like to see the world a better place, which in this context translates into our working to reduce the risk of potentially disastrous climatic change. To do that we need to get some broadbased support, to capture the public's imagination. That, of course, entails getting loads of media coverage. So we have to offer up scary scenarios, make simplified, dramatic statements, and make little mention of any doubts we might have. This 'double ethical bind' we frequently find ourselves in cannot be solved by any formula. Each of us has to decide what the right balance is between being effective and being honest. I hope that means being both.


    Most climate change blogs, including SkS, are involved in advocacy. The difference between SkS and, say, WUWT, is that SkS articles are more soundly rooted in the science, reflecting the mainstream view, whereas WUWT almost always distorts or muddies. Where both are similar is that they are have an agenda. That's not a criticism, nor is it controversial. John Cooke once posted his reasons for SkS, and they are not too dissimilar from your own interests.

    Science and advocacy are poor bed-fellows. Science rests on a non-biased approach, advocacy is the opposite. I've no doubt the authors here sweat over that friction.

    I'm a long-term reader here, pretty much since the blog started in 2007. I've noticed the scales tip slightly towards advocacy, where SkS was a bit more neutral back in the day - the agenda was always there, but content included more scientific uncertainty and deference to future research bringing different results etc. On rare occasions this view prompts me to post, as I did upthread. I want SkS to be effective as well as honest - I'm kind of attached to it. Usually I say nothing because I don't want to dilute the messaging, for anyone who reads down the comments. But I think SkS would be more effective if content was more like it was of old: uncertainties mentioned, alternative views discussed without being dismissive (not fake skeptic views, though), and, like you often see in conclusions of peer-reviewed papers, acknowledgement of or calls for future research changing of refining understanding.

    Of course, I may not be like the target audience. Perhaps most people are swayed by a more authoritative tone, but I find a balanced inclusion of such caveats more convincing - more trustworthy. And, re my first point (flow of argment), I want SkS to advocate as effectively as possible at the same time. On the posibility that I'm typical of the target audience, I posted my first comment; feedback on presentation of the argument.

    Enough off-topic from me.

  45. Carbon Brief’s 15 numbers for 2015

    Whilst policies and practical measures to reduce the global rate of greenhouse gas emssions is to be encouraged as that will reduce the rate of increase in global atmosheric and ocean warming, the focus should be on practical measures aimed at adapting to the consequences of the irreversible rapid disruption of the climate that is under way.

  46. Tracking the 2°C Limit - December 2015

    I've often read the idea that this el Nino is not showing up as much as the 1997/1998 el Nino, in the satellite "data". I don't undestand why this miscomparison is made, since the big satellite spike came in the second year of the last el Nino, not in the first. The second year in this el Nino is 2016, not 2015. This year is expected to be warmer than last for surface temp and I'd expect the satellite spike to occur this year (though there does seem to be a lot of discussion about what happened to the satellite data after 2000, as it deviated from surface and radiosonde data about then).

  47. Record hot 2015 gave us a glimpse at the future of global warming

    Tom - yes, the neutral trend is 0.15°C per decade.  It would have been more accurate to say 0.15–0.16°C per decade, but given the uncertainty involved, 0.16°C is close enough.

    barry - sure there's uncertainty in the OHC data, and there's also a massively large trend.

    lamont - yeah, the axes shouldn't have changed.  Excel was acting up on me in the neutral graph, and that slipped past me.  Annoying.  I blame Bill Gates.

  48. The science for climate change only feeds the denial: how do you beat that?

    Upton Sinclair - "It is difficult to get a man to understand something, when his salary depends on his not understanding it."

    Folks like Morano and Michaels, paid lobbyists, and the think tanks funded to support their like, have no incentive to do anything but deny, no matter the evidence.

  49. The science for climate change only feeds the denial: how do you beat that?

    It strikes me that these core deniers are a species of fanatic. And as I have read elsewhere, one does not attempt to reason with fanatics — it is an exercise in futility.

  50. The science for climate change only feeds the denial: how do you beat that?

    The graphic of proportions Science vs Policy is mind-boggling. It is exactly the opposite of what one expect i.e. that contrarians would be so beaten over the head by the scientific facts they would concede that line of defence and retreat to defend specific policies.

    But it also makes sense, too. It is hard to defend policies when the science is against you. So they have to buttress their "front-line". Once it is breached, they have lost the game.

    Also, it is surprisingly easy for people whose mentality is anti- or un- scientific to reject science as a procedure for deciding the truth, and view it as some ideological struggle where victory goes, not to the weight of evidence, but to the side with the superior rhetorical and propaganda resources.

    But the decline of denial policy arguments is striking, too. Joe Romm pointed out that renewable energy came well out the last US budget, even with a Republican majority in both Houses of Congress..

    The Surprising Winner Of Congress’ Budget Deal

     

    And there does seem to be a swing towards environmentally friendly policies in most country, marked by the Paris Agreement. It is politically harder to advance anti-environmentalism as a policy, and what is possible is obscured in many western countries between what is good for the country, and what is good for political donors.

    Maybe the chart means that while denial is more shrill and strident against climate science, it is all the time being hollowed-out and impotent at preventing climate-friendly policies? It is a win, sort of.

    That would be an optimistic view, and I would not want to be over-optimistic. I always saw this as a war of attrition, anyway, with no single glorious win, but a sequence of small victories, interspersed with setbacks.

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