- 7.03 million km^2 -- Climatology 1979-2000
- 6.67 million km^2 -- Climatology 1979-2008
- at least 5.5 million km^2 -- Joe Bastardi at WUWT
- 5.31 million km^2 -- Linear Trend Climatology 1979-2008
- 5.0 million km^2 -- Wang, Wu, Grumbine model, June
- 4.8 million km^2 -- Wu, Grumbine, Wang model, June
- 4.61 million km^2 -- NSIDC observed September Average sea ice extent
- 4.6 million km^2 -- Wu, Grumbine, Wang model, August
- 4.4 million km^2 -- Grumbine, Wu, Wang statistical ensemble, June
- 4.4 million km^2 -- Crandles, L. Hamilton (at Neven's, but also cited in comments here)
- 3.9 million km^2 -- Alastair (in comment here)
It's a good sign that we were within that range. Also, 0.5 million km^2 is the variability estimated by almost all groups that provide an estimate for it. Even though that number is suspiciously round, we actually arrived at it by data analysis. It's a statement of how much the ice pack varies, rather than the quality of the methods. The quality of the methods is how their error compares to the 0.5.
For the coming year, we've got some modifications in mind (experiments) for the Wu et al. approach, and I've already made some for the statistical ensemble.
Plus, I'm going to be taking a look, perhaps getting Wu to play too, at whether this past winter's heavy sea ice cover in the Bering Sea was something we could have (or did) estimate in advance. The model runs are already done. It's 'just' a matter of analyzing them.
3 comments:
> 5.31 million km^2 -- Linear Trend Climatology 1979-2008
You left off 1979-2010 Climatology. Why?
I am not an expert on this stuff, but have become a recent convert to the fact and reality that extreme climate change is occurring. Now, when you say its a good sign, do you mean the data itself is a good sign, or its just a good sign that the models are working. The latter is good for you guys and for enabling accurate scientific research, but the planet could still be screwed!
William:
I went with 30 years, as it's the standard climate period. Did that for both the mean and the linear trend. Since there's no reason to think that the trend is linear, I didn't see a reason to keep updating linear trends year by year from start to present.
carbon:
the 'good sign' is definitely a matter of the models + statistics working moderately well. If they do, then it suggests that we understand something about how this part of the climate system works.
Whether this means good things or bad things for species (like Homo sapiens) that we are interested in is a different question entirely.
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