Guest Post by Willis Eschenbach
James Hansen has taken time off between being arrested to produce another in the list of his publications. It’s called “Earth’s Energy Imbalance and Implications“. This one is listed as “submitted” …
Normally these days I prefer to only deal with scientific papers, which of course leaves activist pleadings like Hansen’s stuff off the list. But in this case I’ll make an exception. Here’s my sole reason for bringing this up. Hansen’s paper says the following (emphasis mine):
The precision achieved by the most advanced generation of radiation budget satellites is indicated by the planetary energy imbalance measured by the ongoing CERES (Clouds and the Earth’s Radiant Energy System) instrument (Loeb et al., 2009), which finds a measured 5-year-mean imbalance of 6.5 W/m2 (Loeb et al., 2009). Because this result is implausible, instrumentation calibration factors were introduced to reduce the imbalance to the imbalance suggested by climate models, 0.85 W/m2 (Loeb et al., 2009).
I bring it up because it is climate science at its finest. Since the observations were not of the expected range, rather than figure out why the results might be wrong, they just twisted the dials to “reduce the imbalance to the imbalance suggested by climate models.”
And curiously, the “imbalance suggested by climate models”, of some 0.85 W/m2, was actually from Hansen’s previous paper. That earlier paper of his, by coincidence called “Earth’s energy imbalance: Confirmation and implications“, gave that 0.85 W/m2 figure as a result from Hansen’s own GISS climate model … but all this incestuous back-slapping is probably just another coincidence.
Of course, you know what all this means. Soon, the modelers will be claiming that the CERES satellite results verify that the GISS and other climate models are accurately duplicating observations …
You can see why Hansen’s “science” gets left off my list of things to read.
w.
PS—Upon further research I find that according to Loeb et al., 2009, they didn’t just tweak the dials on the CERES observations to get the answer they wanted, as I had foolishly stated above.
No, they didn’t do that at all. Instead, they used…
an objective constrainment algorithm to adjust SW and LW TOA fluxes within their range of uncertainty to remove the inconsistency between average global net TOA flux and heat storage in the earth–atmosphere system.
I’ll sleep better tonight knowing that it wasn’t just twisting dials, they actually used an objective constrainment algorithm to adjust their Procrustean Bed …
UPDATE: Some commenters have noted that my article implies that Hansen used those CERES satellite results in the study in question. Hansen did not use them, stating correctly that the uncertainties were too great for his purposes. —w.
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Hi Willis,
Thanks for your answer. The link I referred is in the bottom of your post:
“…I have posted the data I used, along with the R file that I wrote to analyze the data, as a zip file here. Enjoy!…”
I am interested to learn and know others ways of working for this reason i want to know how you have analized the dataset.
Good posts!!!!!
Regards!
A.
David, thank you for that crystal clear and concise summary of this nonsense. It is something most of us know instinctively and intuitively, but I don’t think anyone distilled it that purely.
This fits tongue in groove with another bad practice, allowing those in charge of collecting the data to also be interpreting the data. There is such a large conflict of interest here that anyone should be able to see it.
A says:
December 23, 2011 at 12:36 am
Thanks, A. The addressing for the .mac accounts all changed and left that an orphan. I’ve fixed it on the page, it’s available here.
All the best,
w.
Espen says:
December 22, 2011 at 12:02 am
You are correct, I’ve added an update clarifying that Hansen used OHC measurements.
I agree with all of those points, particularly the last.
The main problem I have with the OHC work is that the ARGO floats have adequate coverage only down to about 1500 metres depth. This means that we are only seriously sampling at best about a third of the ocean volume.
At that point, the term “oceanic heat content” seems like an over-reach to me. The ARGO measurements are fascinating, and I’ve discussed them elsewhere. But they only cover a third of the ocean. That makes the ± 0.15 W/m2 accuracy claimed by Hansen seem extremely doubtful.
w.
Thanks a lot for your answer.
But, I would like to know how you convert all the dataset to one column dataset. In your post, you transform all the columns to just one column dataset, then you can draw the “black line”….that you have csaid in your post.
All the best and Thanks a lot for your answers!!!!!!!
A.
Larry in Texas says:
December 22, 2011 at 1:57 am
crosspatch says:
December 21, 2011 at 2:22 pm
I’ve always wondered about the Mauna Loa CO2 data myself. I asked Roy Spencer one time about the fact that the Mauna Loa station was as close to the volcanoes of Hawaii as it was, doesn’t this create some uncertainty about the trends in the data, and he gave me an answer, if I remember correctly, to the effect that they only take data at certain times and places around the site and that they somehow compensate or allow for the fact of the volcanoes. I think it is time to reassess those methods, maybe. And by the way, as an attorney (and perhaps a cynic about statistics), I understand the value of calibrating your instruments and making “corrections” when necessary to account for what you are actually looking to measure. But making high-falutin’ corrections (my Texan coming out in me) to adjust back to – wow – what your model predicts? Such a coincidence! It’s all a little too convenient to me.
============
Exactly what they do. They decide what they will have as a cut-off point between volcanic activity produced CO2 and their mythical “background well-mixed” that’s supposed to be arriving over the pristine ocean and only decends into their little measuring cups when there’s no more ‘volcanic’…
It’s a bad joke. And the laughs on us.