Yes, I understand the qualifiers. Even assigning greater than 90% confidence to the qualifiers still entails that these are probabilistic prediction models, they are not tested and observed over the long run.
Theres been a consensus essentially since the Charney report in 79. The science has been building since the mid-19th century. This isnt a rash intervention.
Weve been waiting and observing and the predictions of the AGW hypothesis have largely come true. It has explanatory power. It successfully predicted increasing downward radiation, decreasing outward radiation, stratospheric cooling, decreasing diurnal temperature range, polar amplification, rising tropopause, and of course increasing temperatures, melting glaciers/ice caps, sea level rise, etc.
This is false. The models in use today have been continuously refined since the mid-twentieth century, but the developed models that scientists believe are sufficient for accurately predicting climate change are not from 1979, they are from the late 80s and early 90s.
Further, while these models serve to explain the past, they do so because they are built on artifacts from the past. They do not yet explain the future. This is why climate scientists find the pause both puzzling and troublesome. It is not that one must deny climate change, but one must, if one is honest, hesitate from the pause.
None of the models predicted the pause. This is one major problem with the models. They lack explanatory power after they were produced and refined. Thus, they need to be more refined and actually bear explanatory power regarding the future.
Another problem with placing so much faith in the models, prior to them providing accurate predictions of the future, is that the various models provide various different predictions (and, yes, I understand that some of the models vary only because they use different confidence intervals and different expected emissions; however, others vary because they use varying assumptions as inputs). What this means is that at best only one of these models is the correct model. At worst, none are correct.
If the "pause is an artifact of cherry-picking (like every other pause has been so far) and the temperature trend picks back up, following IPCC projections, you would have us wait another 30-40 years? Were worlds apart on our approach to risk management.
No, the temperature trends back up the fact that the models were built using these temperature trends as inputs. That is it.
Yes, I would have us wait 30-40 years. I would have us wait until we can select a model that has actually served to predict future events. This is not cherry-picking. This is asking the model to do what it purports to do (explain the future of the ecosystem), prior to acting on the advice of the model. It is validation of the model.
You keep asserting "risk management", and, yes, we are worlds apart on our approach. I recognize the potential of costs in the future, the potential of benefits in the future, and the potential of costs now. Unless you deny that adopting measures now to try to lessen climate change (limiting and capping emissions, which is limiting and capping production, which is limiting and capping the production and distribution of nourishment across the globe) comes without any major sacrifice, then you ought to take the sacrifice seriously. Before taking food out of the mouths of many of the poor (less production means less supply, less supply means higher prices), I would want to be absolutely, 100% positive that the sacrifice I was forcing upon individuals was the only resort.
We are not 100% positive. We are not 100% positive the models accurately predict anything. That is not denialism or some close-minded view, that is true. This is why climate scientists and climate change proponents ought to listen attentively to von Storch. It is why such proponents ought not exaggerate their claims or give more weight to the models than is merited. By saying the models possess explanatory power because they explain the past, is to neglect the fact that such models incorporated that same past as inputs. The explanatory power comes not from making precise and accurate statements regarding the time previous to the working model, but from making precise and accurate statements regarding the time posterior to the working model. This is why a large sample size of correct predictions regarding the future is absolutely necessary for the validation of the models. Any scientist who denies that is not doing science. They are merely exploiting the trust that contemporary society places in science in order to push an agenda.
No serious models predict more than a 1 meter rise in sea-levels prior to 2100. Maybe waiting 30-40 years means that we must live with the 1 meter rise in sea-levels in 2100, but we can stave off greater rises in sea-level and temperature if we start to seriously intervene in industry and production in 2050. However, if we intervene now, we will never know whether the models were true. We will simply have to rest on faith and put our trust in faith that we did the right thing in imposing constraints that led to the deaths of many currently living individuals for the sake of individuals living in the future.
I do not share that faith. And, that is what that is: faith, not science. Science is patient. Science waits for the results to come in. If you want to argue the results are in, right now, then the 15 year pause is the largest time frame for the results of the current working models. And, those results, if they are the majority of the results we have (which, they currently are), tell against climate change.
And, yes, if you provide me with any data set from the past 200 years, I can plug the inputs into pattern recognition software, which will provide me with an algorithm that I can manipulate to explain the past 200 years (could do it to explain the last 2,000, as well). What it will not necessarily do is explain the next 10 years.