Never mind, no need to answer that one.
I’ve written for years and years about how the Climate Temperature Models seem hopelessly broken. So just how broken are they? This broken:
A major survey into the accuracy of climate models has found that almost all the past temperature forecasts between 1980-2021 were excessive compared with accurate satellite measurements. The findings were recently published by Professor Nicola Scafetta, a physicist from the University of Naples. He attributes the inaccuracies to a limited understanding of Equilibrium Climate Sensitivity (ECS), the number of degrees centigrade the Earth’s temperature will rise with a doubling of carbon dioxide.
File this under “prediction is hard, especially about the future”. Gosh, it almost seems like the climate system is massively chaotic and difficult to understand, or something…
The black lines are the actual temperatures; the yellow bands are the model’s predicted temperatures. Notice that the actual temperatures have diverged outside the yellow predicted ranges (i.e. recorded actual temperatures are lower than predicted for all temperature data bases and all model groups). Long time readers know that I prefer the UAH satellite temperature record because (a) it is truly global and (b) it is only minimally adjusted. I have been vocal for a long time that adjustments to the other temperature records are excessive, and may be wildly excessive.
Let me emphasize here that the models have been wrong for 40 years.
Of course they have. “Models” are the bunk, “consensus” is the bunk, and unfortunately, so is the Watermelon scam masquerading as contemporary “climate science.” As I said in the comments section: “How arrogant must we humans be–well, SOME humans, that is–that we can assume our knowledge of how the planetary ecology functions is so complete that we can launch reflecting chaff into space to deflect the sun’s rays, in the name of ‘fixing’ climate change?”
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Haven’t you heard? The temperatures predicted by the models are not confirmed by the satellite data because the satellites are wrong. Sheesh, try to keep up.
My favorite line about global warming, or climate modeling in general, is that it can explain anything — high temperatures, low temperatures, reduced snowfall, increased snowfall, oceans rising, oceans falling, insect die-offs, insect reemergence — but it can’t predict anything. I came up with that line, but don’t worry, I don’t charge royalties.