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Climate Hustle

2011 Sea Ice Minimum

Posted on 27 September 2011 by Rob Honeycutt

If you enjoy Peter Sinclair's YouTube video series here is his latest installment which includes footage of James Hansen, ice pilot Arne Sorensen, Stefan Rahmstorf, and Julienne Stroeve from the NSIDC.

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Comments 1 to 50 out of 54:

  1. Great video, Rob.
    I remember you saying, Rob, on an earlier thread that the melting of the polar ice caps would be the big wake up call about the realities of AGW, and indeed you were correct.

    What astounds me is how those in denial avoid mentioning ice decline at the higher lattitudes and coral atoll inundation at the lower lattitudes.
    How much longer can the likes of Bastardi go on predicting that all the current trends will reverse next year for no apparant reason?
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  2. How much longer can the likes of Bastardi go on predicting that all the current trends will reverse next year for no apparant reason?

    If you had predicted something in the order of a 20% drop in the minimum extent over the next 4 years in May 2007 the skeptics would have gone spare calling you all the names under the sun for such an unthinkable and outlandish suggestion. Now if you suggest that that drop was in any way unusual you are lambasted for trying to make a mountain out of a molehill. Its all natural variability and to be expected you see.
    The unthinkable becomes the mundane. Denial flourishes.
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  3. I winced where Sinclair extended the Arctic sea ice September minimum by adding a point for 2011. Still a few days before September ends.
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  4. How much longer can the likes of Bastardi go on predicting that all the current trends will reverse next year for no apparant reason?

    I suspect indefinitely. The opening of the NW passage and the Northern sea route should have been a wakeup call. But it's already become the new normal. We have short memories.
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  5. barry @ 3... I believe the NSIDC called the minimum back on Sept 9th, so it's been pretty clear that we've already seen the min for at least a couple of weeks now.
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  6. It's going to be interesting to see if Bastardi (and Goddard as well) continue to do this. It's going to make for more interesting videos and blog posts in the future when we can go through and show exactly how wrong they have been, year after year after year.
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  7. In stark contrast, Tamino used some stats analysis in October 2010 to predict the JAXA minimum for September 2011. That analysis predicted a minimum of 4.63 million km^2 (+/- 0.9 km^2) for extent. The observed minimum for JAXA in 2011 was 4.53 million km^2.

    And also in contrast to Tamino, Anthony Watts submitted a forecast (based on a poll from his readers) to the SEARCH project on 31 May 2011 (so a 3.5 month forecast versus 11 months for Tamino). Here is the WUWT forecast:

    "PAN-ARCTIC OUTLOOK – WUWT (acronym for
    1. Extent Projection: 5.5 million square kilometers
    2. Methods/Techniques: web poll of readers
    3. Rationale: Composite of projections by readers, projection bracket with the highest response is the one submitted.
    4. Executive Summary: Website devoted to climate and weather polled its readers for the best estimate of 2011 sea ice extent minimum by choosing bracketed values from a web poll which can be seen at: chose 5.5 million km2 or greater, with 13.09% choosing 5.0 to 5.1 million sq km2 as the second highest vote.
    5. Estimate of Forecast Skill: none"

    Pay attention to point number 5. On that we agree ;) Out by about one million km^2.

    Readers do not buy into this meme that the Arctic sea ice is recovering that is being perpetuated by 'skeptics' and those in denial about AGW.
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  8. We'll be doing a 'Lessons from Past Predictions' post on Arctic sea ice predictions in the near future. I plan to highlight Bastardi, Watts, Goddard, perhaps WUWT readers (thanks Albatross), and tamino. Any other suggestions are welcome.
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  9. Albatross Given my own definition of "reasonably accurate", I'd say that Watts prediction is "reasonably accurate" in the sense it is as accurate as you could reasonably expect it to be given the method used! ;o)

    I think I may have a go at statistical prediction for next year, looks like fun.
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  10. Dana @8,

    You are welcome.

    What is kinda interesting is that WUWT readers actually predicted the sea ice extent minimum in 2011 would be higher than that in 2005, and that is very similar to Bastardi's erroneous prediction. So I wonder how much he influenced their thinking? Is it an example of group think, or group denial about the plight of the Arctic sea ice? I mean the loss of Arctic ice is accelerating, yet they keep trying to tell themselves and that there it is going to recover soon, "No really, this time it will recover". I wonder when will they will be saying that, "Oh don't worry, the ice extent next year will be back to the 2007 extent next year".

    Dikran @9,
    Yes, strictly speaking, I would have to agree with you.
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  11. WUWT readers are clearly a very optimistic group regarding Arctic sea ice and anything global warming related. You have to wonder how long it will take them to realize that their optimism is unwarranted. Will they learn something from their poor Arctic sea ice prediction?
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  12. Dana @11,

    "Will they learn something from their poor Arctic sea ice prediction? "

    Very likely not. They will likely continue to delude themselves and others, or rationalize that it is not a big deal, or eventually concede that it is a big deal but argue that human emissions of GHGs are only a bit player. There are unfortunately, and sadly, far too many ways people can rationalize their denial of something, including AGW.
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  13. "likely continue to delude themselves"

    Delusion indeed. See the comments at Peter Sinclair's Sea Ice Min video posting:

    "I’m (one of the ones) siding with Steven Goddard. He was right."

    It's funny because the video has the NSIDc's scientist saying "being the 2nd lowest vs the lowest is not really recovery."
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  14. What is actually most interesting about the sea ice minimum this year (this is something I read recently, I think over at Neven's page was that 2007's dramatic low had a lot to do with winds pushing the ice together. This year we reached almost the same point without the unusual winds.

    So, every time you see those guys plotting a trajectory for the next season off of 2007... they just don't know what they're looking at.
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  15. Rob@5

    NSIDC have called the absolute minimum for 2011. The graph in the vid is of September monthly minimum. The 2011 value on that chart should reflect the monthly average, but September isn't even over.

    I remember posts at realclimate criticising 'skeptics' for giving annual values for global temperature before the year was even finished. Same thing.
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  16. dana, for other predictions on Arctic ice you could look at the SEARCH stuff. They're interesting because they all have the kind of detail that Albatross showed - for each prediction. That particular one went into one category, but there are several categories of method used for prediction.
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  17. barry... Fair enough.
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  18. Rob, I think that is the most important point. If you look at the movement of the ice this year, and the lack of much ice export through the Fram Strait, or much circulation of teh Beaufort Gyre, you see unfavourable conditions for ice export. For a while there was very sunny conditions which aided ice melt, but with conditions quite unfavourable for compaction or export, but you can hardly call this a year where weather patterns helped the ice get to a low extent.

    Add to that the observations of a mean ice thickness of ~0.9m, compared to ~2m 10 years ago (Alfred Wegener Institute, Polarstern). Can anyone think of a reason or a mechanism that will see anything other than a record low level of ice next year? Weather patterns weren't 'great' for ice loss this year, and ice thickness is on a frightening trajectory.
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  19. I mean Rob at #14 BTW!
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  20. FWIW, my sea ice prediction from last March is here: (I post as eric654 there). My predictions of early loss and a July-August recovery were not too bad but not radical. The bottom line though I was wrong about the minimum and expected more ice than we now have. La Nina should have helped the ice and negative NAO should have also helped hold the ice (e.g..
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  21. here's a wacky prediction: they'll still be denying once we hit an ice free arctic for the first time. just a natural cycle, scientists want more grant money, government wants to tax you.
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  22. Danno, I fear your prediction is more accurate than wacky.
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  23. watching how deep the denial goes today, it's hard for me to imagine there is any way to bring them around.
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  24. Heh, leave alone for the moment the WUWT ice extent predictions.

    I'd like to know what they think the sea ice volume will do next year, and the year after, and the year after that...
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  25. I thought today would be a good day to make a statistical prediction of September 2011 sea ice extent ;o)

    I obtained from data for Arctic sea ice extent from 1979-2009 (the NSIDC data archive appears to be down at the moment, that was the best I could find). I then fitted a Gaussian process model, using the excellent MATLAB Gaussian Processes for Machine Learning toolbox (the book is jolly good as well). I experimented with some basic covariance functions, and chose the squared exponential, as that gave the lowest negative log marginal likelihood (NLML). The hyper-parameters were tuned by minimising the NLML in the usual way.

    Here is a pretty picture:

    Note the credible interval gets wider the further you extrapolate from the data, which is a nice feature of Bayesian models. Other highlights include:

    prediction for 2010 = 4.927226 (+/- 1.069078)
    prediction for 2011 = 4.772309 (+/- 1.096537)
    prediction for 2012 = 4.614637 (+/- 1.128915)

    ice free summer unlikely prior to 2027
    ice free summer probably after 2041

    I haven't checked to see how accurate the first two "predictions" actually are. This isn't really a serious attempt at a prediction, I just wanted to try out the regression tools in the GPML toolbox, but when I can get some up-to-date data, I can update the projections for 2012 and onwards. Hopefully I won't end up being the subject of a lessons from predictions post. ;o)

    Caveat lector: This is a purely statistical prediction, so it is less reliable than physics, but hopefully better than chimps & buckets.
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  26. DM: I dunno; I'm seeing headlines on some blogs: SkS 95% confident of Arctic ice recovery starting in 2040! Or by continuing your upper bound forward a few hundred years: SkS forecasts snowball earth coming!

    Or perhaps: SkS now using chimps and buckets for climate science!
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  27. muoncounter you do have a point, as Einstein said, "there are only two things that are infinite, the universe and human stupidity - but I'm not sure about the universe". I suspect Einstein foresaw the blogsphere! ;o)

    As my predictions are more accurate that the WUWT committee projection, it would be a poor reflection on them indeed if the skeptics say we are using a chimps'n'buckets approach!
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  28. Dikran Marsupial @25, a very pretty graph. Am I correct in my estimate that the last data point is 2009? If so, given that 2010 and 2011 are both below your trend (red) line, doesn't that suggest that a model which does not go from a trend of accelerating loss to a near linear loss is more likely than the one that you show? Does it not follow that, on current data your 2041 "prediction" for ice free summers is optimistic?

    I hope Dana will be kind to you ;)
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  29. Tom Curtis The error bars are so broad that I wouldn't want to infer anything from just two points. If I can make a model that I have a bit more confidence in it may be worth looking at in more detail. I have more faith in Tamino's quadratic model.
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  30. Dikran Marsupial.

    Interesting game.

    What happens when you plug in the sea ice volume values?
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  31. Bernard J. it would be interesting to look at that as well. You are right though that my earlier post was just a game. The thing I am really interested in is how the credible interval changes with the amount of data avalable. The problem with a Bayesian approach is that the outcome can be heavily dependent on the prior assumptions. The model I gave earlier gives nice looking projections, but the prior assumptions are not really supportable (it assume a-priori that sea ice extent will fall to zero at some point, which I suppose is supportable by the physics of the enhanced greenhouse effect). Tamino's analysis makes fewer, more supportable assumptions, so it is more trustworthy.
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  32. Dikran @29, you may prefer Tamino's quadratic model, but he specifically disavows trusting its indicated trend except in the short term and, last time I looked, refuses to make a prediction about how soon until a zero ice minimum in the Arctic.
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  33. Tom Curtis yes, the further away you extrapolate the less reliable the projection gets, just on statistical grounds, whether you use Tamino's method or mine. If you look at the credible interval for the ice free Arctic, the model is basically saying it doesn't really have any idea of how soon it will happen, other than it is unlikely to be before 2027 (the upper limit is effectively at infinity).

    I don't mind saying what the model says about when the Arctic will be ice free in Summer, but I wouldn't make a serious prediction about it.
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  34. This is what you get if you use a quadratic covariance function, giving a Bayesian alternative to Tamino's model (well closeish anyway)

    This gives rather poor predictions for the last two years:

    prediction for 2010 = 5.414904 (+/- 1.124377)
    prediction for 2011 = 5.338500 (+/- 1.130803)
    prediction for 2012 = 5.262056 (+/- 1.137584)

    However Tamino's model had more data to work with, so it is possible that with more data the model will decide that there is more curvature and less noise in the data than at present.

    I still think Tamino's method is better; I suspect the problem here is that the model has a couple of hyper-parameters that have been optimised, whereas a proper Bayesian would integrate them out. It may be there are two ways of explain it the data, high curvature/low noise and low curvature/high noise and the optimisation approach only finds the latter, whereas the simpler frequentist approach finds the former.

    Self-skepticism is vital in statistical analysis, which is why I greatly prefer a physical model over a purely statistical one.
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  35. Seeing we're showing pretty pictures, I'ld like to add this one to the photo album:

    The graph is by Larry Hamilton, who explains it thus:

    "It's just curve-fitting, but with a slight difference. Others tend to use linear, quadratic, exponential or logistic curves. Quadratics actually rise in the early years, then later crash below zero. Logistics have the more plausible property of approaching zero at a slowing rate, but the deceleration and acceleration phases must have the same rate.

    What this graph shows is a Gompertz curve, still relatively simple but yielding an assymetrical S. It looks similar to a quadratic but the differences are improvements: no rise in the early years, no crash below zero.

    The Gompertz predicts a slightly lower value than the quadratic for 2011: 4.4 instead of 4.6. It crosses the 1.0 line a few years sooner, but after that approaches 0 asymptotically.

    NOT that such curve fitting is more than a what-if exercise!"

    Graph and quote from Neven's blog.

    With the gompertz model, it should be noted that once the average sea ice extent falls below about 0.5 million km^2, the Arctic will be ice free on some summers (but not all) due to variations in weather, so on this estimate the first zero ice minimum should be around 2030 even though there will be minimums with above zero ice for several years, even a few decades later.
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  36. Dikran, I can include your 2010 and 2011 predictions from #25 in the soon-to-be published 'lessons' post on Arctic sea ice, if you'd like :-)
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  37. dana1981 ;o)

    Do feel free to include the 2010-2012 predictions, the model assumptions are not too unreasonable for short term predictions, but do also include the ones from #34 to show how sensitive projections can be to the assumptions on which they are based, which is a useful lesson.
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  38. Tom Curtis, the Gompertz model, that takes me back a bit! Is there any reason to assume that the ice loss will slow as it reaches zero rather than speed up? I would have thought that it would continue accelerating due to the albedo feedback thing.

    It would be nice to use a method that handles the fact you can't have a negative extent properly (in the credible/confidence interval as well as in the projection). It might be a nice application for Beta regression (where the Gaussian noise assumption is replaced with a Beta distribution with the lower limit at zero and the upper limit learned from the data (or set to the surface area of the globe). Shame the GPML toolbox doesn't support it (yet).
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  39. TomCurtis.

    Dang. You just took the wind from my sails. Being an ecologist and all, Gompertz is one of my favourite sigmoids. I was about to plug the data in, and whaddaya know, I refresh and discover that you've pipped me!

    Pretty cool trajectory though...
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  40. Dikran @38, as the sea ice area decreases, its limit comes closer to the pole. Consequently the angle of the incoming sunlight to the horizon decreases, and less energy per square meter is recieved. Hence a lower ice albedo feedback. As the minimum sea ice extent is in September when the sun is already low, that may well be enough to justify a Gompertz model.

    Not that I would in anyway dispute Larry Hamilton's final sentence.
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  41. Tom C:

    Bob Grumbine scooped you with a logistic curve fit:

    By my estimation method, there's about a 50% chance (54%) that 2035 or some year before that will show zero ice extent for September. It's only 6% that we'd see zero ice in 2029 (or before). And rises to 96% that we'll see zero ice (for the month) in 2042 or before. The 'or before' is important.

    Similar shaped graphics from model runs in Stroeve et al 2007, although the earliest ice free point in that paper was 2050.
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  42. No shame for an out of work philosopher to be scooped by Bob Grumbine on Arctic ice.
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  43. Tom Curtis Thanks for that, being wrong is always an effective way of learning! The models in the Stroeve et al. paper (thanks muon) have a sigmoidal shape, which is strong support for that kind of model.
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  44. Logistic curves are nice and easy, but they're symmetrical about the point of inflection, which is often quite an artifical assumption about natural processes.

    Of course, this is not to say that the shape of a Gompertz is not itself an artifical fit to certain sets of data (usually it is), but in various ecological contexts at least I've found Gompertz nearly always seems to better describe the nature of trajectories than do logistics, von B's, or other of the stable of sigmoids.

    Whether or not melting ice follows a Gomperts path, I suspect that it will follow one of the asymmetric sigmoids...
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  45. "Whether or not melting ice follows a Gomperts path, I suspect that it will follow one of the asymmetric sigmoids..."

    ...for the sort of reason that Dikran Marsupial mentions in the first paragraph of #38.
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  46. 40, Tom,
    43, Dikran,

    I believe, however, that the "lower angle of incidence" theory presumes that incoming sunlight is a major factor in local warming/melt. I thought that it's been determined that the water temperature and not the sunlight itself was the main factor.

    Admittedly, the increase in local warming due to more exposed water due to more ice melt will still be lower (due to the lower angle of incidence), but if the main temperature of the water comes from heat being transported in from outside of the Arctic, then I would think that would low angle of incidence would be a minor factor.

    The bigger factor, in the end (I believe) will be flat out warmer water temperatures. Ten years from now, with the water that much warmer, everything will melt faster and more thoroughly, from start to finish. Eventually it will be so warm that it just overwhelms whatever ice is there.

    For that reason, I think that the end will come surprisingly quickly.

    [On the flip side, I do think the complete disappearance of the sun, dropping air temperatures to the point where things start to refreeze, is a major factor, and the fact is that the melt season is much shorter at the actual pole, so it may be a long time before the seas are warm enough to melt everything there before the sun sets.]
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  47. Bernard J. Here are some sea ice volume projections, they look a bit pessimistic to me, usual caveats about this being a purely statistical projection apply, YMMV.

    This gives the general shape of the projection:

    Focussing in on the near future:

    The periodic covariance function looks like a neat way to model the seasonality.

    prediction for 2012 = 4.342434 (+/- 2.071584) 10^3km^3
    prediction for 2013 = 3.306950 (+/- 2.227936) 10^3km^3
    prediction for 2014 = 2.211567 (+/- 2.426253) 10^3km^3
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  48. What an interesting thread I've been missing! Just wanted to interject some (hopefully) salient points into the dialogue.

    1. As far as predictions and "tipping points", Eisenman and Wettlaufer (PNAS 2009), in their publication "Nonlinear threshold behavior during the loss of Arctic sea ice" state:
    Our analysis suggests that a sea-ice bifurcation threshold (or “tipping point”) caused by the ice–albedo feedback is not expected to occur in the transition from current perennial sea ice conditions to a seasonally ice-free Arctic Ocean, but that a bifurcation threshold associated with the sudden loss of the remaining seasonal ice cover may occur in response to further heating. These results may be interpreted by viewing the state of the Arctic Ocean as comprising a full seasonal cycle, which can include ice-covered periods as well as ice-free periods.

    The ice–albedo feedback promotes the existence of multiple states, allowing the possibility of abrupt transitions in the sea-ice cover as the Arctic is gradually forced to warm. Because a similar amount of solar radiation is incident at the surface during the first months to become ice free in a warming climate as during the final months to lose their ice in a further warmed climate, the ice–albedo feedback is similarly strong during both transitions.

    The asymmetry between these two transitions is associated with the fundamental nonlinearities of sea-ice thermodynamic effects, which make the Arctic climate more stable when sea ice is present than when the open ocean is exposed. Hence, when sea ice covers the Arctic Ocean during fewer months of the year, the state of the Arctic becomes less stable and more susceptible to destabilization by the ice–albedo feedback. In a warming climate, as discussed above, this causes irreversible threshold behavior during the potential distant loss of winter ice, but not during the more imminent possible loss of summer (September) ice.
    Emphasis added.

    The article also contains this graphic:

    The inclusion of nonlinear sea-ice thermodynamic effects stabilizes the model when sea ice is present during a sufficiently large fraction of the year, allowing stable seasonally ice-free solutions (red solid curves). Under a moderate warming (∆F0 = 15 Wm -2), modeled sea-ice thickness varies seasonally between 0.9 and 2.2 m. Further warming (∆F0 = 20Wm -2) causes the September ice cover to disappear, and the system undergoes a smooth transition to seasonally ice-free conditions. When the model is further warmed (∆F0 = 23Wm -2), a saddle-node bifurcation occurs, and the wintertime sea ice cover abruptly disappears in an irreversible process.
    2. Parties interested in the processes of bottom melt and the mixing layers underneath the ice would do well to look at "Mixing, heat fluxes and heat content evolution of the Arctic Ocean mixed layer" Sirevaag et al 2011

    3. Another fascinating paper which I regret to not having internalized yet: "Influence of Initial Conditions and Climate Forcing on Predicting Arctic Sea Ice" by Blanchard-Wrigglesworth et al GRL 2011
    "In the model there are times when no significant area predictability exists from either initial conditions or climate forcing, whereas for volume, significant predictability is present almost continuously."
    The Death Spiral yet lives...
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  49. Dikran Marsupial.

    As a statistical exercise, those plots warm the cockles of my heart.

    As a hint of what may will come, they churn my innards.

    Of course, as you and others of us have noted above, they are not parametric modellings of the phenomena, and thus at some point the differing ice-free-summer projections of extent versus volume are going to knock one (or each other) over.

    It's interesting to consider how it will play out. For the trend in extent to hold into the future, something major would have to put a brake on the trajectory of (and thus on the causative factors for) loss of summer ice volume (= mostly thickness). That's a lot of 'inertia' with which to tangle. For the trend in volume to hold into the future, all that really needs to happen is for extent to suddenly collapse in magnitude, which can easily be anticipated once thickness reduces beyond a critical threshold.

    I think all wise money would be placed on the latter scenario: at some point between 2015 and 2050 (and probably very much in the first half of that period) there will be a spectacular plummetting of the values for sea ice extent. I'm still of the inclination to consider that it will likely occur before 2020.

    Whenever it does eventually happen, it will be instructive to see how humanity responds...
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  50. Hi Rob, eloquent post and interesting comments. As we now have fifty without a dissenting voice, is this a new record Arctic sea ice skeptic minimum? or do we expect a recovery anytime soon...
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