steve_bank said:
I have no idea what Angra's point us. Climate chnange is upon us and us having an observable effect of food in areas and weather.
My points are what I said in my posts, but if you have
no idea of what they are, I do not think I can clarify the matter. If you tell me you don't understand this or that, sure I can try to clarify, but no idea is too vague.
And yes, climate change is real and having observable effects. No argument there.
steve_bank said:
I know how simulations are done mathematically. Climate is chaotic, meaning small changes in the initial conditions of variables cause wide divergence as the simulation runs. Chaotic systems are a demonstrated physical effect. Over time the models will improve as data grows. Different hurricane models predict different storm paths. Exactly where it hits land is not predicable and that is on a very small scale over a period of weeks with models constantly updated with real time data.
That's true, but we can however make reasonable predictions of temperatures within certain ranges, as well as other effects, by means of models in some cases (climate), or by looking at other patterns (e.g., we know human tech is getting better).
steve_bank said:
Right now it is fairly clear temperature is ricing, weather is changing, and some areas are more affected than others.
True.
steve_bank said:
Predicting what Canada will be like 100-200-300 years from now with any certainty IMO is not possible. Too many variables. that can not be quatified to sufficient acuracy.
A couple of points:
1. I wasn't looking
that far into the future. I reckon that very probably before 200 years (and maybe even 100) there will be an AGI (or several, but let's simplify) that can engage in vastly superhuman geoengineering among other things like building new cities, transport people in large numbers, genetic engineering on a massive scale, etc. Unless the AI goes Skynet on humans - in which case, climate change doesn't matter from that point on, since the AI will just exterminate humans very efficiently -, it will deal with climate change as needed - and if there is no time, it will build the necessary tech to go on, and then deal with it.
2. I was making an assessment in a shorter period, and I was not going for accuracy as in number of degrees warmer, but just the general direction we can tell. Climate in Canada (and much of the world) is not good for humans. We adapt thanks to our tech, but otherwise it's overly cold. We can predict it will be warmer, and very likely will still have plenty of water, which seems to be a good improvement. Now, if we cannot count the places that will get better due to the inherent inaccuracy of our models, how come we can predict that things will be overall worse, or that it will be pretty bad in some places? After all, the models used to predict how bad things will get are also the models we can use to predict that some places will get better. In neither case we can have precise numbers, but we can still make reasonable assessments within certain ranges.