“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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How could climate modelers incorporate your absorption measurements into macro models? What parameter they currently simply assume somehow would get grounded?
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
Parameter: Clear-sky (or all-sky) radiative forcing. Currently calculated as: (constant)*log(CO₂/CO₂[start] Where (constant) = 6.3 in the 1990’s 5.35 in 1998-2016 And now this, 2016-present:pic.twitter.com/JbnJhUu16t
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