Did Tom Wigley Fudge SST Data to Fit a Predetermined Narrative?
In my last post I shared about a fascinating paper that was just published with improved bias corrections for the cooling bias affecting SSTs between 1900 and 1930. As I was studying up on this paper, I was reminded of one of the hacked CRU emails discussing roughly the same problem back in 2009. The email was from Tom Wigley at UCAR to Phil Jones at CRU about bias correction issues affecting SSTs, especially from the 1940s and earlier. The language indicates that there's a context between the two that is left unexplained - that is, we're entering into a conversation mid stream, and there's language between the sender and recipient that people wouldn't necessarily understand without context (like what the "blip" is). The text of the email is below:
From: Tom Wigley [University Corporation of Atmospheric Research]
To: Phil Jones [CRU]
Cc: Ben Santer [Lawrence Livermore National Laboratory]
September 27, 2009
Subject: 1940s
Phil,
Here are some speculations on correcting SSTs to partly explain the 1940s warming blip. If you look at the attached plot you will see that the land also shows the 1940s blip (as I’m sure you know). So, if we could reduce the ocean blip by, say, 0.15 degC, then this would be significant for the global mean — but we’d still have to explain the land blip. I’ve chosen 0.15 here deliberately. This still leaves an ocean blip, and i think one needs to have some form of ocean blip to explain the land blip (via either some common forcing, or ocean forcing land, or vice versa, or all of these). When you look at other blips, the land blips are 1.5 to 2 times (roughly) the ocean blips — higher sensitivity plus thermal inertia effects. My 0.15 adjustment leaves things consistent with this, so you can see where I am coming from. Removing ENSO does not affect this. It would be good to remove at least part of the 1940s blip, but we are still left with “why the blip”.
Let me go further. If you look at NH vs SH and the aerosol effect (qualitatively or with MAGICC) then with a reduced ocean blip we get continuous warming in the SH, and a cooling in the NH — just as one would expect with mainly NH aerosols. The other interesting thing is (as Foukal et al. note — from MAGICC) that the 1910-40 warming cannot be solar. The Sun can get at most 10% of this with Wang et al solar, less with Foukal solar. So this may well be NADW, as Sarah and I noted in 1987 (and also Schlesinger later). A reduced SST blip in the 1940s makes the 1910-40 warming larger than the SH (which it currently is not) — but not really enough. So … why was the SH so cold around 1910? Another SST problem? (SH/NH data also attached.) This stuff is in a report I am writing for EPRI, so I’d appreciate any comments you (and Ben) might have. xxx.
- Wooden Buckets were not well insulated and would allow heat loss to occur due to evaporation between the time the bucket was lifted from the water's surface to when the thermometer reading was taken.
- Canvas Buckets were less well insulated than wooden buckets, so more heat loss would occur, introducing a cooling bias into temperature readings. The transition from wooden to canvas buckets occurred during the late 19th century, since canvas buckets were much more convenient to use.
- Rubber Buckets looked much less like buckets, and they were much better insulated than wooden buckets. Switching from wooden or canvas buckets to rubber buckets would introduce a warming bias into SST trends.
- Engine Intake methods didn't use buckets at all, and this method was the "warmest" method relative to the other collection methods. The US began switching to this method in the 1920s but many fleets switched later, by 1942 in most fleets, though some fleets (like those from Japan) didn't make the transition until the 1960s.
Corrections from HadSST2 |
As you can see, bias correction for changes in SSTs reduces the amount of global SST warming because it's removing a cooling bias in instrumental data. But if you look at the uncorrected (blue) data, there's a warming "blip" in the 1940s - the global mean SST values jump up rapidly at a rate that is not explainable by natural variability or forcings from GHGs and aerosols. And this cooling bias affects a few years following 1945 as well. The cooling bias is also evident by comparing land and ocean temperatures. And as the email indicates, thermal inertia makes land temperatures more sensitive than SSTs, so warming blips are typically 1.5x or 2x greater for land than for SSTs. Uncorrected SSTs were out of accord with this pattern in the early 20th century.
This is just shorthand for ... "if, when the correction to the SSTs due to the change in instrumentation identified by Thompson et al. (Nature, 2008) is applied, and if this correction were, say, 0.15 degC ..."This email was directed to Phil Jones only, and Phil knew exactly what I was talking about. It does not at all refer to making some arbitrary correction to existing data in order to make such data fit some preconceived ideas about global warming. The SST correction is being made on the basis of knowledge about the instrumentation change, and this alone. The a priori (and preliminary) estimate of this correction suggests that it will make land and ocean changes more consistent, providing a valuable check on the correction procedures.
At the time that the CRU email hack had occurred, the finished product Wigley was working on had not yet been released, but above you can see the adjustments as they appeared in HadSST3. Now in 2024 we've moved passed HadSST3 to HadSST4, and the "warming blip" is still there. It has not been fully removed. But the applied corrections (which reduced but did not eliminate the blip) increased temperatures prior to 1940 (and around 1945) and therefore reduced the amount of global warming. In fact, these bias corrections were larger than corrections for warming biases affecting land temperature readings, meaning that the net effect of bias correction on global temperatures (land + ocean) was to reduce the amount of global warming. In other words, we can say with certainty that these bias corrections were not performed to make the data fit some predetermined narrative that global warming is a problem. These corrections would have slightly reduced the magnitude of the global warming problem.
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