Posted on 02/21/2022 5:00:37 AM PST by MtnClimber
Friday’s post principally reported on the recent (February 8, 2022) article by O’Neill, et al., in Atmospheres, “Evaluation of the Homogenization Adjustments Applied to European Temperature Records in the Global Historical Climatology Network Dataset.” In the piece, O’Neill, et al., dramatically demonstrate that the NOAA/NCEI “homogenization” algorithm is wildly off the mark in its intended mission of identifying and correcting for supposed “discontinuities” or “breakpoints” in weather station location or instrumentation in order to provide a more accurate world temperature history. At the same time, although not mentioned in O’Neill, et al., the NOAA/NCEI algorithm is wildly successful in generating a world temperature history time series in the iconic hockey stick form to support the desired narrative of climate alarm.
What should be done? O’Neill, et al., for reasons that I completely cannot understand, buy into the idea that having a group of government-paid experts correct the temperature record with a “homogenization” algorithm was and is a good idea; therefore, we just need to tweak this effort a little to get it right. From O’Neill, et al.:
[W]e are definitely not criticizing the overall temperature homogenization project. We also stress that the efforts of Menne & Williams (2009) in developing the PHA . . . to try and correct for both undocumented and documented non-climatic biases were commendable. Long-term temperature records are well-known to be frequently contaminated by various non-climatic biases arising from station moves . . ., changes in instrumentation . . ., siting quality . . ., times of observation . . ., urbanization . . ., etc. Therefore, if we are interested in using these records to study regional, hemispheric or global temperature trends, it is important to accurately account for these biases.
Sorry, but no. This statement betrays hopeless naïveté about the processes by which government bureaucracies work. Or perhaps inserting this statement into the piece was the price of getting it published in a peer reviewed journal that, like all academic journals in the climate field today, will suppress any piece that overtly challenges “consensus” climate science.
Whichever of those two it is, the fact is that any collection of government bureaucrats, given the job to “adjust” temperature data, will “adjust” it in the way that best enhances the prospects for growth of the staff and budget of the bureaucracy. The chances that scientific integrity and accuracy might intrude into the process are essentially nil.
Is there any possibility that a future Republican administration with a healthy skepticism about the climate alarm movement could do anything about this?
For starters, note that President Trump, despite his climate skepticism and his focus on what he called “energy dominance,” never even drained a drop out of this particular corner of the swamp. It took Trump until September 2020 — just a few months before the end of his term — to finally appoint two climate skeptics, David Legates and Ryan Maue, to NOAA to look into what they were doing. Before they really got started, Trump was out and so were they.
Even if a new Republican President in 2025 got started on his first day, the idea that he could quickly — or even within four years — get an honestly “homogenized” temperature record out of NOAA/NCEI, is a fantasy. The existing bureaucracy would fight him at every turn, and claim that all efforts were “anti-science.” Those bureaucrats mostly have civil service protection and cannot be fired. And there don’t even exist enough climate skeptics with the requisite expertise to re-do the homogenization algorithm in an honest way.
But here are some things that can be done:
-Do an audit of the existing “homogenization” efforts. Come out with a report that points to five or ten or twenty obvious flaws in the current algorithm. There are at least that many. The O’Neill, et al., work gives a good starting point. Also, there are many stations with good records of long-term cooling that have been “homogenized” into long-term warming. Put the “homogenizers” on the hot seat to attempt to explain how that has happened.
-After the report comes out, announce that the government has lost confidence in the people who have been doing this work. If they can’t be fired, transfer them to some other function. Don’t let the people stay together as a team. Transfer some to one place, and some to another, preferably in different cities that are distant from each other.
-Also after the report comes out, announce that the U.S. government is no longer relying on this temperature series for policymaking purposes. It’s just too inaccurate. Take down the website in its current form, and all promotion of the series as something providing scary information about “hottest month ever” and the like. Leave only a link to hard data in raw form useful only to “experts” with infinite time on their hands.
-Stop reporting the results of the USHCN/GHCN temperature series to the hundredth of a degree C. The idea that this series — much of which historically comes from thermometers that only record to the nearest full degree — is accurate to one-hundredth of a degree is completely absurd. The reporting to an accuracy of a hundredth of a degree is what gives NOAA the ability to claim that a given month was the “hottest ever” when it says temperature went from an anomaly of 1.03 deg to 1.04 deg. I suggest reporting only to an accuracy of 0.5 of a degree. That way, the series would have the same temperature anomaly for months or years on end.
-Put error bars around whatever figures are reported. Appoint a task force to come up with appropriate width of the error bars. There should be some kind of sophisticated statistical model to generate this, but I would think that error bars of +/- 0.5 deg C are eminently justifiable. Again, that would make it impossible to claim that a given month is the “hottest ever,” unless there has been some sort of really significant jump.
I’m sure that others can come up with some other good suggestions, but this should be a good start.
Thanks again to Francis Menton for allowing his entire articles to be posted, as long as attribution and a link are provided.
perhaps if we started paying for studies that show there is no climate change danger.
the benefits of climate change.
hmm.
Such experts have been hounded out of academia and the government by "climate change" zealots.
What these “scientists” ignore is that we are still coming out of The Little Ice Age that ended in the mid 1800s and that we are in a short warming period (maybe 20,000 years total, estimated) between the normal ice ages. It is called the Interglacial Warming Period. When the last ice age ended we really did have massive global warming, but it was not caused by humans. Everyone can see that New York City is not under water as Al Gore predicted it would be by now. The government just wants an excuse to control the means of production and these “climate scientists” need to show global warming is caused by humans to get grant money.
Decades ago when I first read of global warming I looked into it and soon discovered that the output of the Sun was concided a constant. I knew right then and there that theory was BullS**t. Of course later theories corrected that but I remained skeptical. Sadly a lot of smart people got sucked in and once sucked in they would not budge in spite of all the predictions failing to materialize. I do worry about global cooling tho, since there is a lot of precedent for that.
Now long term global warming will kill everything on Earth but that will not be happening for tens of millions of years. I’ve read that every billion years the Sun gets 10% brighter. That means 1% brighter every 100 million years. Life can adapt but when the oceans start to boil it’s game over.
Even without homogenization they do other tricks. For example, they will use 1900-1930 as the baseline for average temperatures and miss the notoriously hot 1930s (remember the Dust Bowl?). That’s like calculating the average temperature for a day but skipping noon to 6 pm in the baseline and then being shocked, shocked that whole days are warmer.
Basically, they are throwing out data that they don't like or does not fit their desired result.
I spent many years analyzing manufacturing process data for a major computer company. Engineers were always trying to ignore data points that were "outliers". Just because. I would not let them do that without an Assignable Cause. In many cases the outliers were their best friend to understanding out manufacturing process. But they hated having to do the work to understand it.
So it should be with this data set.
These “climate scientists” also refuse to use satellite temperature data which provides surface temperature data for the entire planet. Why would they refuse to use it? I think it is because they would not be able to manipulate the data.
Key: the alarmists pretend they can measure ‘global average temperature’ to a level of precision of one one-hundredth of a degree - that is total fantasy. When you’re getting temperature numbers from the middle of the Pacific Ocean, a station outside some hut in Zimbabwe, a site in the outback of Australia, some kind of thermometer in the heart of Siberia, etc, etc, you’re going to be lucky if your data is good to plus/minus one full degree.
If you’re looking at data that’s only good to one degree of precision, global temps are going to be constant for years if not decades on end; if you want “the hottest January ever”, yeah, it helps to tweak the data with adjustments and report it to one one-hundedth of a degree.
Yes, it is good to know there are at least a few people like Menton out there...a candle on a freezing mountain top, but some warmth (no pun intended) nonetheless.
The reason that “climate change” is a scientific fraud is simple, but to get to the simplicity you have to have had some science training.
The problem is not the data, or the models, or the effects of carbon dioxide.
The problem is that the proponents of global warming cannot state a null hypothesis, and if they do state the actual one, it can be refuted by a child.
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