The WUWT Extent Projection: 4.55 million square kilometers.
Readers polled, 142 responded with 22.11% of responses in the range of 4.5 to 4.6 million square kilometers.
- 4.6 million sqkm 11.21% (72 votes)
- 4.5 million sqkm 10.9% (70 votes)
This was almost double the highest single category: 4.8 million sqkm 12.15% (78 votes)
Thus, the median of 4.55 million sqkm was chosen to represent WUWT readers.
UPDATE: DPlot author David Hyde sends this graph along, click to enlarge:
Here’s raw data breakdown of votes as of noon 7-5-12:
| Answer | Votes | Percent | |
|---|---|---|---|
| 4.8 million sqkm | 78 | 12% | |
| 4.6 million sqkm | 72 | 11% | |
| 4.5 million sqkm | 70 | 11% | |
| 5.0 million sqkm | 58 | 9% | |
| 4.9 million sqkm | 49 | 8% | |
| 4.4 million sqkm | 39 | 6% | |
| 4.2 million sqkm | 39 | 6% | |
| 4.3 million sqkm | 36 | 6% | |
| 4.7 million sqkm | 33 | 5% | |
| Less than 4.0 million sqkm | 33 | 5% | |
| More than 5.5 million sqkm | 31 | 5% | |
| 4.1 million sqkm | 21 | 3% | |
| 5.1 million sqkm | 20 | 3% | |
| 4.0 million sqkm | 16 | 2% | |
| 5.2 million sqkm | 14 | 2% | |
| Less than 1 million sqkm (Zwally’s ice free 2012 forecast) | 14 | 2% | |
| 5.4 million sqkm | 9 | 1% | |
| 5.5 million sqkm | 6 | 1% | |
| 5.3 million sqkm | 6 | 1% |
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![wuwt_minimum_arctic_ice_extent_2012[1]](http://wattsupwiththat.files.wordpress.com/2012/07/wuwt_minimum_arctic_ice_extent_20121.png?w=300&resize=300%2C223)
From Timothy Hanes on July 9, 2012 at 11:40 pm:
You were born around the end of February and will be leaving around September?
http://www.ijis.iarc.uaf.edu/en/home/seaice_extent.htm
See the “Data Download” link, info easily goes into a spreadsheet.
The Arctic Basin consistently freezes up every year, with variation at the “also Arctic” areas like to the right of Greenland. There has been nothing near a 75% decline from the 1980’s average maximum. In 2007 the minimum was 30.51% of the maximum. Excluding 2012 as incomplete, the lowest minimum and highest maximum presented only yields 28.66%.
So how exactly is Arctic sea ice “down more the 3/4”?
From Rob Dekker on July 10, 2012 at 1:57 pm:
Then if the heat is not going into the oceans, basically the “snow albedo effect” is transient. Sun comes up, land surface temperatures are somewhat higher, extra heat is shed to space at night. If the oceans don’t store it then the land will just lose it. Except for some higher daily maximums in some parts of the Northern Hemisphere land areas for part of the year, it has no real effect on the long term temperature trends, which are dictated by ocean heat content.
So the “snow albedo”-based “Arctic amplification” is ultimately ignorable.
KD Knoebel said :
You jump right to my question (g), but you did not quantify your answer.
Can you calculate how much the temperature of 6 million km^2 land need to warm up above freezing so that an extra 1180 TW is “shed to space” ?
As first order approximation, you can use Stefan Boltzman law.
Or just start with question (a) and work your way to through.
Ice volume, kadaka.
By the way, I must say I am impressed with your “strong suites.” “How many people still play Bridge?”. About one hundred times as many people who would have ever used the word “Suite” the way you do in your invented idiom.
So, back to the albedo feedback-
All the global hottest 12 month periods you note are in the last 6 years (be careful, you’ll undermine the entire “warming stopped in 1998” meme that is so rampant in these parts- Lord Monckton will have you carried out of the club!). And from your link, it is evident that over that period, snow cover anomalies have been severe over that entire period. That looks to me like decreased snow-albedo is very possibly a strong positive feedback. If you think you have disproven snow albedo as a significant postive feedback because you can show annual global annual temperatures and years of greatest northern hemispheric snow cover anomalies don’t line up one-to-one ( I think that’s your argument) even when they are lining up in a much more general way, you and I don’t understand complex systems and statistics the same way.
Am I right in how I’m reading you? Is that actually your argument?
From Rob Dekker on July 10, 2012 at 5:38 pm:
I’m sorry, but you appear to be under the impression I considered the rest of your comment past the quoted point with something more than a glance. Why crunch all those numbers to “prove” Arctic amplification when it’s not in the temperature indexes?
You’re saying the effect is land only, so let’s look at land only, and grab that NH dataset at the NCDC-GHCN page, “The Monthly Northern Hemisphere Land Temperature Anomalies (degrees C)”.
(BTW, open the “dat” files in a word processor, replace all double spaces with single spaces, repeat until no double spaces. Result is ready to use “Paste Special” to put in spreadsheet, space for delimiter.)
As before, no June 2012 yet. Highest month was March 2008. Highest 12 month period was December 2006-November 2007. Highest 6 month period was December 2006-May 2007. Heck, the news of the US record said it was the highest first half of a year. Here that was 2007. Highest 2nd half was back in 2005.
And as opposed to the US, “highest 12 month period” will be very unlikely with June 2012 added. Anomalies from July 2011 to May 2012 sum to 10.5788°C, highest 12-mo is 14.6536°C, difference 4.0748°C. Highest monthly anomaly January 1895 to present is only 2.3370°C. Safe bet that June 2012 won’t make up that difference.
So the NH land records were set about 5 to 6 years ago, when the June NH snow anomaly deficit you noted was much less. If “Arctic amplification” is supposed to be warming the land areas of the Northern Hemisphere, it’s not showing up in the temperature record.
From Timothy Hanes on July 10, 2012 at 9:09 pm:
Nah, still doesn’t work. Way back when, PIOMAS used to be frequently cited as proof of Arctic sea ice volume loss, despite being just a model. After colliding with reality, its flaws and biases were revealed and a less-alarming version was released.
http://wattsupwiththat.com/2011/06/28/piomas-arctic-sea-ice-volume-model-corrected-still-appears-suspect/
New PIOMAS:
http://psc.apl.washington.edu/wordpress/research/projects/arctic-sea-ice-volume-anomaly/
Got that? The lowest amount calculated, the September 2011 minimum, which is the same as September 2010 within the estimated uncertainty, is 75% lower than the maximum in 1979.
The only way you can figure Arctic sea ice is “down more the 3/4″ in volume, is by comparing the highest calculated amount to the lowest. And those numbers aren’t even in the same part of the annual melt cycle.
Note that PIOMAS is still a model, still has issues. And that despite still appearing to have a built-in alarming bias, it does not support your ‘less than 25% remaining’ assertion.
If you have better Arctic sea ice volume information, that shows a 75% or greater loss when comparing annual maximums to maximums or minimums to minimums, please present it.
Actually, kadaka, your wrong, it’s Sept 2011 to Sept 1979, minimum to minimum. It is poorly phrased, I’ll agree, but they mean the maximum minimum, that is Sept 1979. It’s quite striking when you look at it graphically. It is very rare when you see that kind of change with a Y-Axis that begins at 0.
http://www.carbonbrief.org/blog/2012/06/75-per-cent-of-arctic-sea-ice-lost-in-30-years-we-check
But again, I’d like to ask, are you arguing that not showing a correlation of lowest snow-cover to lowest [Northern hemisphere temps] minimum, then second lowest to second lowest, and so on, are you arguing that that would disprove reduced albedo is not a strong positive feedback?
Really?
I’m sorry, scratch ice and insert Northern hemisphere temps.
Again, really?
[Like that? It doesn’t seem to make any more (or less) sense). Robt]
Excuse me, highest NH temps.
From Timothy Hanes on July 12, 2012 at 3:21 pm:
My wrong? Surely it is your wrong, not mine. This was already covered on WUWT last month. I will thank you, as the juicy details about the “volume loss” claim are down in the comments and I hadn’t read them before.
http://wattsupwiththat.com/2012/06/03/the-guardians-ridiculous-claim-of-75-arctic-ice-loss-in-30-years/
Anthony Watts and others have already handily shredded the “75% volume loss” claim.
Remember what PIOMAS is, a model. It was thoroughly verified, all of the Arctic doom-and-gloom crowd were absolutely convinced of its accuracy. Then its makers admitted it was flawed and released the next version. Now you’re pushing a September 2011 calculation done only three months after the Great Correction, comparing it with a “hindcast” recalculated 1979 minimum, and expecting people to, once again, get alarmed over the PIOMAS results? Feel free to claim PIOMAS is thoroughly verified and accurate and can be trusted, just like they did before the previous version was shown to be broken.
At a comment, source indicated, PIOMAS said 16,900km³ for the September 1979 minimum, 4,300km³ for 2011. By the NSIDC monthly data, in September the area (not extent) was 4.53*10^6km² in 1979, and 2.89*10^6km² in 2011.
16900km³ / 4.53*10^6km² * 1000m/km = 3.73m average thickness in 1979.
4300km³ / 2.89*10^6km² * 1000m/km = 1.49m average thickness in 2011.
Of course area (only ice) was selected over extent (ice + water) for a true volume calculation.
Searching for thickness records, I found: Kwok, R., and D. A. Rothrock (2009), Decline in Arctic sea ice thickness from submarine and ICESat records: 1958 – 2008, Geophys. Res. Lett., 36, L15501, doi:10.1029/2009GL039035. PDF available for free here.
It uses declassified US Navy submarine data from outside the “exclusive economic zones” of foreign countries. While the resulting area is only about 38% of the Arctic Ocean, generally it encompasses the area where you’d expect sea ice to remain at the end of the melt season, lacking the quick-melting shore areas, with the exceptions of ice around Greenland and Ellesmere Island being excluded and Alaska areas included. See figures 1a and 2a.
Three periods are examined, submarine data for 1958-76, 1993-7, and ICESat for 2003-7.
Table 1, “Mean Ice Thickness at the End of Melt Season…”, for All Regions, 1958-76 was 3.02m, 1993-7 was 1.62m, 2003-7 was 1.43m.
Back during the “glory days” of Arctic sea ice, for 1958-76, the “All Regions” mean minimum of 3.02m for the defined area is considerably less than the derived-from-PIOMAS 1979 average minimum of 3.73m for the entire sea ice area. From Table 1, the only examined regions at or above that amount were North Pole and Nansen Basin, 3.77 and 3.88m respectively. The Chukchi Cap and Beaufort Sea were barely above only half of that.
The time periods don’t match up exactly, neither do the areas. But going with the easily-accepted belief among the doomsayers that the Arctic sea ice must have an ongoing downward trend in the “modern anthropogenic warming era”, from at least around 1950, two possible conclusions arise. Either something freaky happened that resulted in dramatically thicker ice overall in 1979 than the mean amount for 1958-76, temporarily reversing the decline in a truly extraordinary fashion… Or PIOMAS is just wrong about the 1979 volume.
From Figure 2e you can see the ice concentration of the studied area from 1978-2000 at summer minimum. Nearly all of the studied area is above 90%. Since “of course” there is a long-term decline thus summer minimum concentration had to have been better for 1958-76, there is insufficient wiggle room for an “extent vs area” argument to explain the glaring difference.
If you have plausible alternative explanations, and/or thickness data that isn’t derived from the PIOMAS model, feel free to present it. As it stands, I cannot see how PIOMAS could possibly be correct with the “75% volume loss” that was pulled out from that computer model’s butt.
Kadaka, you are wrong. It is not 1979 maximum compared to 2011 minimum. That is wrong. If you assert that, you are wrong. It is minimum to minimum. This is apparent if you look at the graphical data.
Regardless of what you and Andy think about PIOMAS or PIOMAS II, your assertion that 75% ice loss is completely off form the previous post is wrong. Correct? Say it, say your previous post was wrong and we can get into PIOMAS. Or come up with some impressive crap like your “strong suites” post earlier.