Somehow it’s already that time of year again… November. Bam, its Christmas!
Oxford Street lights have been switched on, Mariah Carey will soon be wailing
out of every speaker, and what everyone is desperate to see, (don’t fret,
there’s not long to wait) the 2015 John Lewis Christmas advert.
Source: Designed by Words & Unwords for Zazzle.com
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If you’re not feeling the t-shirt, not to worry, you can get the
same design on a mug, tote, or for that really special person, how about a
badge?
Stylish and educational, don’t you think?
The results of a study (McLean et al., 2009) stated that at least 68% of the variance in global tropospheric
temperature anomalies (GTTA) is accounted for by the Southern Oscillation Index
(SOI), i.e. ENSO. This raises to 81% accountability in the tropics.
They are some large percentages. So maybe the t-shirt isn’t being sarcastic
after all?
“The close relationship between
ENSO and global temperature, as described in the paper, leaves little room for
any warming driven by human carbon dioxide emissions.”
This is a quote taken from the press release related to the paper
by one of the authors, R. M. Carter.
So how did McLean et al come to such a bold conclusion? Well,
essentially by removing the long term upward trend of the global tropospheric
temperature anomalies. This trend can be seen by the GTTA line in Figure 1.
Figure 1: Twelve-month running means of SOI (dark line) and MSU GTTA (light line) for the period
1980 to 2006 with major periods of volcanic activity indicated
Source: McLean et al., 2009
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A mere -0.223 correlation is found between the pre-transformed
variables, suggesting a very weak negative correlation. However, when both the SOI
and GTTA data is transformed into time derivatives, a correlation of -0.847 is
found. This is now suggesting a very strong negative correlation, and thus forms
the basis for the study’s conclusion. However, these time derivatives are
calculated by subtracting the 12 month moving average from the same average for
data 12 months later. It is said this transformation is to remove noise, but this
herein lies the problem, as it removes the linear upward trend of the
temperature data. Therefore a strong correlation will be found, as it has been recognised that El Niño has a strong effect on short term
global temperatures but that it cannot account for the long term trend (Santer et al. 2001, Lean and Rind 2008, Foster and Rahmstorf 2011).
In fact, in direct contrast to McLean et al., 2009, it has been suggested that El Niño
has had a slight net cooling effect on global temperatures (Fawcett, 2007). This has also been noticed
for the period 1979 to 2005 by Lean and Rind, 2008, and for the period 1979 to
2010 by Foster and Rahmstorf, 2011.
I hope we are now all in agreement that global warming is not the fault
of El Niño? Please drop me a comment if you have any questions.
Finally, if you do decide to buy the t-shirt for someone this
Christmas, hopefully you’ll now have enough knowledge to share over your turkey
(or vegetarian equivalent) dinner.
Nice argument, Alana. It seems that this study gets a bit confused between climate variability and climate change. Sounds like you have found the discrepancy by considering that McLean et al. only looked at 12 month moving averages. This link between ENSO on annual scale temperature variations is the majority of the reason seasonal forecasting has a chance at providing usable information. The current strong El Nino is the main reason why seasonal climate forecasts are more confident than they've been in a while, but of course on 'sub-climate change' time-scales. Cool t-shirt too.
ReplyDeleteThanks Geoff! I thought it important to highlight misleading information 'out there'. As you say, ENSO at a seasonal level is fundamental to temperature, but extrapolating this over a longer time scale does not account for all temperature variation.
ReplyDeletevery Interesting post, first I read the R. M. Carter comment and I was like: what is going on in this world?!
ReplyDeleteThanks Honeyeh! I know, it's a very bold statement for someone to make!
Delete