“To Measure Is To Know” How many breakthroughs occurred only after conceptual discussions were replaced with actual measurement?https://twitter.com/ThijssenR/status/1276140994912755712 …
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Also, do your results match theoretical predictions based on % CO2 in atmosphere? Ie does the absorption effect track the predictions from ppm measurements over the same period correctly?
And if I understand your work correctly, the logical research program should be 1. Get the absorption data right with more satellites/more conditions 2. Build robust correlation to ppm data 3. Use those to replace a few model parameters 4. Redo calculations of temperature rise
Feels like there should be additional points up the inference stack to global average temperature estimates where assumptions could be replaced with data.
There are two sets of theoretical predictions to check: 1. High resolution line-by-line radiative transfer models 2. Global circulation models, aka “climate models” For #2, I’ve got a paper in peer review now. For #1, I’m currently working with IPCC 2013 lead author on new work
Damn you’ve leveled up way beyond hobby level, kudos
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