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All that says (in your second paragraph) is that if you're going to predict the actual temperature, you need an accurate CO2 prediction, which of course is true
by DennisP 7y ago
All that says (in your second paragraph) is that if you're going to predict the actual temperature, you need an accurate CO2 prediction, which of course is true.
But here is Hansen's original 1988 paper: https://pubs.giss.nasa.gov/abs/ha02700w.html https://pubs.giss.nasa.gov/abs/ha02700w.html
From the abstract: "We make a 100-year control run and perform experiments for three scenarios of atmospheric composition. These experiments begin in 1958 and include measured or estimated changes in atmospheric CO2, CH4, H2O, chlorofluorocarbons (CFCs) and stratospheric aerosols for the period from 1958 to the present. Scenario A assumes continued exponential trace gas growth, scenario B assumes a reduced linear linear growth of trace gases, and scenario C assumes a rapid curtailment of trace gas emissions such that the net climate forcing ceases to increase after the year 2000."
Note the word "assumes." There's no attempt to really model what humanity would choose to emit. None of these assumptions exactly match what happened with CO2 and other greenhouse gases, so of course none of them exactly match the temperature either. But adjusted for actual greenhouse emissions, they come remarkably close.
Were they completely accurate in that way? Certainly not. People knew a lot less back then. It took a while to nail down things like the effect of water vapor, which is a greenhouse gas but also makes clouds that reflect sunlight away. But they were close enough to make good policy decisions, and if we'd paid attention, we'd be much better off today.
Incidentally, the case for global warming doesn't depend on models. There have been warming events before, and there's enough evidence in geological history to tell us what's going to happen. Hansen's book has details.
- leereeves 7y ago> But adjusted for the actual CO2 emissions, they come remarkably close. Take a look at the table I mentioned (line 326), in particular "ΔT / ΔF skill". That's the change in temperature over the change in forcing (ie, CO2 etc). Hausfather et al call it "implied TCR". In (overly) simple terms, it's the predicted increase in temperature per unit of CO2 emitted. Look at the numbers: 0.51, 0.41, 0.63, 0.42, 0.83, etc. The best is 0.87. The average was 0.69. The authors attempted to adjust for actual CO2 emissions and found that, after the correction, the models were predicting 40%-90% of the observations, with an average score around 70%. Is that "remarkably close"? Well, we might disagree about the meaning of that term. But there's another observation that we should agree on. Note what the authors say after that table: > The average of the median skill scores across all the model projections evaluated is 0.69 for the temperature vs time metric. > Using the implied TCR metric, the average projection skill of the models was also 0.69. In other words, the models are, on average, as accurate with or without the correction. Adjusting for actual greenhouse emissions doesn't make the models more accurate (nor less).
- DennisP 7y agoI would say it was close enough to drive good policy decisions. It's unfortunate that it didn't.
- woodandsteel 7y agoIf you are correct, what are the policy implications? In particular, is it your view that we should stay on fossil fuels, rather than trying to move to renewables? And are there any possible future scientific findings that could lead you to change your view?