When I wrote the Beaufort under early pressure blog post last month, I didn't quite expect this unprecedented pressure (timing and magnitude) to keep up for so long. High pressure areas tend to be short-lived in the Arctic, but this one was still going strong when the Beaufort quick update was published. Now, almost three weeks later, things still haven't completely calmed down, and this animation of satellite images showing weekly changes from March 30th to May 4th provides an astonishing sight:
Astonishing, mindblowing, frightening even. May is the month when melt ponds start to form on the ice, pools of water that lower the albedo and cause the ice to melt faster, leading to open water that absorbs solar radiation and warms up. The open water is already there in the Beaufort Sea. Look at all that open water!
No other year comes even close to it, as can be seen on the ASIG comparison of sea ice concentration maps, or on this sea ice extent graph (based on AMSR2 data, provided by Wipneus):
Jim Hunt provides this close-up view on the resources page of his Great White Con website (also be sure to read his latest blog post on early wave activity in all this open water):
Strangely enough, this event isn't being picked up by MASIE:
This is strange because MASIE is an operational analysis product with a very high resolution that uses different data sources as input to determine where the ice edge is. Some open water does show up on the Canadian Ice Service's weekly regional map of sea ice development:
I would say there is a lot more open water right now, but maybe analysts are seeing an ultra-thin layer of newly formed sea ice. This is bound to change soon as the Arctic is starting to warm up more and more, with the Sun climbing a bit higher in the sky every day. In fact, above zero temperatures are expected to hit the entire Pacific side of the Arctic in a couple of days, as can be seen on this animation of GFS weather forecast temperature maps (source: Climate Reanalyzer):
Temperatures are set to reach a whopping 20 °C over large parts of Northwest Canada and Alaska. This doesn't bode well at all for the remaining snow cover there that has been disappearing fast these past couple of weeks. The same, unfortunately, goes for Eurasian snow. The animation of IMC snow cover maps below shows weekly changes for the past month:
It is no wonder that Northern Hemisphere snow cover is lower than any other year in the past decade, according to NOAA STAR:
Which makes it no wonder that Northern Hemisphere snow cover for April was the lowest on record, according to Rutgers University Global Snow Lab, lower even than 2012:
I can be short about this: Things aren't looking good at all. Did I mention that JAXA sea ice extent is currently lowest on record by a long stretch?
We can only hope for a radical switch in weather patterns to slow some of these developments down. Temperatures will go up over the entire Pacific side of the Arctic, as we've just seen, so how about sea level pressure? Here's the ECMWF forecast from Wetterzentrale for the next 6 days (quick overview here):
The high pressure prolongs its presence over the Arctic Ocean, though shifted more towards the Atlantic. This means clear skies over the central ice pack, but temperatures are probably still low enough there to offset the increased solar radiation. And the pressure gradient over the Beaufort and Chukchi Seas is no longer there, which means less wind and an (temporary) end to the massive cracking and ice movement.
Sorry, this is the best news I can come up with. I'm off to bed to try and get some sleep.
Crandles, John,
I'll get back to you tomorrow, when I'm not so tired.
Crandles, Rob,
Having downloaded some data this morning: Whilst warm air seems to explain a lot of the 2010 to 2012 increased spring volume loss, it doesn't seem to explain much of the rest of the series. I've converted some measures of both temperature (different heights and regions and thickness/volume(from PIOMAS) together with the Spring Volume Loss (roughly equal to May minus June volume) to a 1981 to 2010 baseline - equal to NCEP/NCAR baseline. Neither ice state nor air temperature provides a complete explanation. I'll get back to it later in the weekend when I'm not so tired.
PS I have checked - the large 2010 to 2012 SVL remains regardless of the 30 year baseline, so NCEP baseline ending in 2010 plays no role.
Anyone know what proportion of variance a given R2 explains?
Posted by: Chris Reynolds | May 21, 2016 at 09:39
"Anyone know what proportion of variance a given R2 explains?"
Chris, that might be a bit like "how long is a piece of string?".
The following link might help...
http://people.duke.edu/~rnau/rsquared.htm
Posted by: Bill Fothergill | May 21, 2016 at 16:13
Bobcobb: this is a wonderful community, unusually rich in sharing knowledge, learning, observing, collecting data, working together, and building on each others' work. I am a fringe lurker and have little to contribute, as a moderately informed layperson, but have been welcomed and encouraged when I do drop in. I catch up on comments to the main articles pretty much daily, and sometimes look through the forums (great resource). It is a fine demonstration of how to be encouraging and grow as a group without being kidnapped by attack.
You seem to me to not be in any way a climate science denier (unskeptical skeptic) and to make sense. You are, however, quick to attack and to overinterpret what other people say, while slow to moderate your own voice. You even did it to me, which startled me and forced me to repeat myself with greater clarity.
In the world at large, we need more than the choir to accomplish the necessary, and the time to do so is slipping away. Unnecessary anger, even if only in language and not intended to sound as sharp as it comes across, puts people's backs up. The people we need to be paying attention are not the people we agree with, but all of society. It's easy to find fault, but difficult to build bridges. Third parties observing the infighting can draw the conclusion that there is more distance between us than is actually the case.
Yes, there is some exaggeration, but there is much more understatement, ignorance, apathy, and denial in the world at large. Attacking people's religion, telling them they are flat-earthers, Dunning-Kruger, or making otherwise unfounded characterizations, especially if the accusations are incorrect, will drive away people beginning to open their minds. It's better to use the golden rule (do unto others as you would have them do unto you) than to be righteous.
You may trust Neven and others to remove repetitive dishonest voices, and though the pace may be slow, there is sometimes some lurker who is observing the process of tolerance and learning not only from the material but from the manner in which it is presented.
Posted by: Susan Anderson | May 21, 2016 at 18:37
Fair enough Susan.
Posted by: bobcobb | May 21, 2016 at 18:51
Bobbcobb: Thanks, with warm greetings ...
Posted by: Susan Anderson | May 21, 2016 at 19:18
Susan,
Thanks for your "etiquette" comment. Most everyone on here follows this protocol exceptionally well especially considering the number of voices present. I appreciate the reminder.
Bobcobb,
Susan said, "You are, however, quick to attack and to overinterpret what other people say, while slow to moderate your own voice."
As a long time mostly lurker who reads virtually 100% of this blog I appreciate the civil dialog and the "I want to know more; please explain so I will understand better" attitude of nearly everyone on here.
Unfortunately, I stopped reading some of your posts because of the abruptness that Susan points out as well as the absoluteness of some of your statements. In my world all means "all" and never or none means "never or none." For example: a/b = c/d if a=c and b=d is in fact a false statement. To make this a true statement we need to state that b and d do not equal "0". So, when you make absolute statements I understand them in a similar fashion so it became pointless for me to continue reading your posts.
I will try reading your posts again. Much of what you say has a "ring of truth." Please take Susan's advice.
Posted by: VaughnA | May 22, 2016 at 01:19
Of course, Susan. Vaughn, you make a fair point. I have a history of dealing with Mcphersonites and their ilk who have insulted me before on when I've brought up my points in Fractal Planet and elsewhere. So you might understand why I post the way I do. I will ease off on the abruptness and such. That being said, I think most on here would agree that there's virtually no chance of ice free this year.
Posted by: bobcobb | May 22, 2016 at 03:30
Chris said
The definition of R^2 is Explained variation / Total variation.
So there you have it : If R^2 is 0.9, that means 90% of the variation is explained with this model.
However, that does not mean a lot, and there are lots of 'if's and 'but's to that, as Bill's link explains.
Personally, I prefer to look at the standard deviation of the residuals.
That typically gives a better way to compare models (including comparing to the super-simple ones like a linear trend).
Chris said :
I am not exactly sure what you are trying to do here. Could you explain in more detail ? (Maybe in a blog post) ?
Posted by: Rob Dekker | May 22, 2016 at 07:45
bobcobb, thanks again and I understand about MacPhersonites, but many of his followers are good people.
While I felt it was risky to embark on that extended comment, my "side" is prone to groupthink in making the accusations I described and others. So this was not meant entirely for you, but for others whose language tends toward sharpness.
I am afraid of what we are doing to our world, and that means we need to be pleasant to people we don't agree with, not suggest they are stupid (even when I secretly think they are). I fail to take my own advice at times.
[OT: In the US followers of two reasonable voices on climate are at each others throats and enabling the real enemy, egged on by outsiders with vested interests. They don't know they are being played. Pointed criticism, even if it doesn't descend to outright insult just plain doesn't help.]
I see Neven has a new article, so we can all move on.
Posted by: Susan Anderson | May 22, 2016 at 15:54
John,
A high index winter AO (low pressure over the pole) produces more advection from the Siberian coast, which results in more ice production, a decrease of transport in the Beaufort gyre and an increase in Fram Strait export (Rigor & Wallace 2002). This means reduced winter thickness in the peripheral seas of the Arctic Ocean Basin, which during the time of Rigor & Wallace's study probably played a role in low minimae.
What you are looking at is autumn and Spring.
The spring connection probably has a role for open skies and preconditioning. But you might also be picking up early Arctic Dipole activity. Overland's paper on the early summer AD looks at June as a crucial time for AD impacts in the summer. A negative AD over much of the pack as early as April would favour cooling as the sun is so low net longwave emission overcomes shortwave absorption. At 250K (-20degC) assuming an emisivity of 0.8 (rough guess) the emission of ice is 177w/m^2, taking into account that the calculations we have are for TOA (so at low angle of incidence the incident insolation will be lower), and that the ice has a high albedo, absorbed insolation is likely less than emitted infra-red.
Autumn, I agree with, increased clouds will trap heat, probably also associated with winds which mix the column of summer warmed water.
I'm not convinced by your total of AO for autumn and winter, e.g. 2008 and 2009 were rebounds from 2007. I suspect that in using only 2006 onwards you're rather limiting your dataset, what does it look like for 1979 to 2015?
Crandles,
I'm not ruling out a continuation of warming in the late winter period, I just see data that is too nosiy to support that conclusion. As I said the integral of warming over winter (FDDs) is what dominates the thickening of ice, and this doesn't suggest an abnormal warming over the last few years. I now have a full set of CSVs of gridded NCEP surface temperature, 1948 to present (using Panoply) and to test my code handing it I'll calculate FDDs over ocean for the full period. I'll blog on it when I'm done. This means I'll be able to produce surface (0.995 sigma) FDDs since 1948, I'll let you know when it's done - but this week is going to be another week of long days at work.
Posted by: Chris Reynolds | May 22, 2016 at 17:38
Rob,
It'll be a while before I'm ready to post, from experience on other matters it could take the rest of the year to tie it all together (or I might crack it with a flash of inspiration whilst doing something else this week!).
I've decided to try looking at timing of the end of sub zero temperatures, so I've got a dataset of daily surface temperature from 1948 to a few days ago and will have to code the solution to that - not totally sure I know how I'll approach that - not yet anyway.
Anyway here's a hint of what I mean. I started off by using the May-June difference in volume as indicative of the spring volume loss SVL). With daily volume and temperature I could feasibly look at the situation on a day to day basis, but would have to have a more rigid definition of the onset of the SVL. The end is easy as the anomalies go upwards at the inflection.
Note that there are forcing files for PIOMAS
ftp://pscftp.apl.washington.edu/zhang/IDAO/forcing360_120/
But they only go up to 2004 and IIRC are monthly.
So using the monthly PIOMAS SVL data (in blue on the following), and as an example I have shown temperature at surface and 700mb.
Oh, and both these are baselined as anomalies from the same period; 1981 to 2010. Changing the anomaly period to an earlier 30 yr period does not remove the SVL.
Surface temperature north of 70degN
https://farm8.staticflickr.com/7306/26568004753_d04ebee615_o.png
700mb temperature north of 70degN
https://farm8.staticflickr.com/7407/27103944831_ab6a6d6f24_o.png
OK. So for surface, the SVL curve prior to 2010 bares little relationship to the May/June temperature anomalies.
While at 700mb we have a better relationship over that period, but for 2013,14,15 if temperature is the driver than why does the SVL anomaly remain so high after 2010 to 2012??? Lookin at that data was one of the things that led me to suspect thickness loss after the 2010 volume loss event was playing a role. But the 2010 volume loss mainly appears in the heff based caculations. Gice should be a better measure, and the loss of thick ice after 2010 in that data is far less pronounced.
My reading of the evidence suggests that this is far from simple.
There are other diagnostic PIOMAS variables:
http://psc.apl.washington.edu/zhang/IDAO/data_piomas.html
But Oflux (ocean heat used to melt ice) only goes to 2004, and the top ten layers of the ocean temperature only goes to 2013 - might still be useful though.
I keep thinking back to the papers on sea ice modelling I've read. Maybe I could do a single column model to try to figure out the physics of the matter. When I last looked at it, the issue was horribly complex for a math dunce like me.
R2 of 0.9 = 90%, now that's what I thought, but someone knowledgeable told me it wasn't that simple. Ah, yes, looking at Bill's link (thanks Bill), I'm probably usually more interested in the explained amount of standard deviation than variance. Which explains my confusion.
Posted by: Chris Reynolds | May 22, 2016 at 18:36
Chris, I'm sorry, but I don't understand what you are doing.
But please let me know if I can help.
Posted by: Rob Dekker | May 23, 2016 at 07:21
Rob,
I'm trying to figure out what has caused the enhanced spring volume loss in PIOMAS.
Posted by: Chris Reynolds | May 23, 2016 at 20:38
Thanks Chris. That makes sense.
Regarding your initial findings :
that kind of was expected.
After all, temperatures in spring only affect melt (melt-ponding) if they are above 0 C. And if they dip below that after a while, ponds freeze over and un-do the melt and the albedo-effect.
So there is that non-linear effect of melt-ponds, but beyond that, melt in spring is also affected by open-water close to the ice. Think albedo difference between ice and open water : it warms the water quite nicely, which leads to ice melt later on.
And then regarding the "rest of the series" there are a lot of variables that would need to be considered.
So I'm not surprised that you conclude :
I couldn't agree more.
Posted by: Rob Dekker | May 24, 2016 at 06:46