J
JasonSB
Guest
The key point about science is that you don’t need to trust them.That’s actually a decent response, but it brings up what is for me the biggest hurdle: I simply don’t trust the people involved to tell the truth.
The IPCC does nothing other than summarise the existing scientific literature, so you can always go to the original source yourself and see if their summary is accurate. You can also freely browse all of the reviewer’s comments and the reponses that those comments received. Since the reviewers include people like McIntyre and other well-known “skeptics”, you can be pretty confident that any molehills they uncovered were turned into mountains. If you followed the debate on “dates” for the WA2007 paper you’ll know what I mean.
I think it’s telling that so far the only actual error in the IPCC report was the Himalayan glacier error, and in that instance the report disagreed with itself because WG1 characterised the situation correctly.
If you don’t trust even the peer-reviewed literature, you can often obtain the original data yourself and check it. The temperature record is a really good example – not only can you download the unadjusted data used by all the various groups, you can even download the scanned-in versions of the original paperwork going back 100 years! (I gave the link for this earlier.)
If you don’t feel qualified to do this yourself, or simply don’t have the time, remember this: there are plenty of qualified people out there who do have the motive and the means to verify all of these things, and apart from the odd squeek (like the Y2K bug that McIntyre found in the GISS code) they have been completely silent.
So the only way to sustain a belief that the whole thing is a scam is to assume that McIntyre, Monckton, ExxonMobil, etc., are in on it, too.
At a certain point it just seems to me that it’s best simply to accept the obvious explanation and move on. If there is something nefarious going on, you can be sure that somebody would have noticed by now.
I skimmed through it to find the figures you’re referring to (page 12?) and I can see a number of problems right off the bat:Why would I believe that CO2 is driving the warming we have experienced when it isn’t all that clear how much warming has even occurred? You talk of the models predictions being verified in so many cases, but what of the cases where the models and the data appear to diverge? In this paper by D’Aleo and Watts (scienceandpublicpolicy.org/images/stories/papers/originals/surface_temp.pdf) they include graphs (which I am unable to include) showing the divergence between surface temperatures and satellite measurements that, from 1979 to 2008 have grown by almost 0.5 C.
Why are they comparing NOAA Land to the satellite records in the first graph? The satellite records are for the whole world, land + sea, so why restrict the NOAA trend to land only? That is clearly going to affect the outcome.
Here is a graph of GISTemp vs RSS for the same period that you can play with yourself: woodfortrees.org/plot/gistemp/from:1979/plot/rss/offset:0.2 (WoodForTrees doesn’t have NOAA so I used GISS instead.)
Note that I had to offset the satellite record by 0.2 degrees to put them on the same scale. This is necessary because they are comparing anomalies from “normal temperatures” from different baselines. To do it correctly I would actually need to compute the anomalies for a proper baseline and then offset one of them but I arrived at 0.2 after two goes of trial-and-error. The point is clear: if there was a divergence of 0.5 degrees it would be exceedingly obvious! Instead all you can see is that the satellite record is relatively more affected by ENSO than GISTemp is, which was already known.
If you ask WoodForTrees to compute the trend in both data sets you’ll get slope = 0.0165458 per year for GISS and slope = 0.016389 per year for RSS. (Add "Linear trend (OLS) to each under “Processing steps”, then click “Plot graph”, then click on the “raw data” link at the bottom.)
That’s a difference of 0.0001568 degrees per year, or 0.004704 over 30 years. How is it possible Watts’ paper got a difference of 0.5 degrees over 30 years when the actual data shows less than 1/100 that amount?
If you want me to dig further I can try to find out actual values for NOAA, but it seems to me that this argument is a furphy – GISS does not diverge from the satellite records, therefore GISS is reliable.