https://rose.geog.mcgill.ca/wordpress/?p=31 Tue, 25 Jan 2005 05:47:18 +0000 hourly 1 https://wordpress.org/?v=5.8.10 https://rose.geog.mcgill.ca/wordpress/?p=31&cpage=1#comment-60 Tue, 25 Jan 2005 05:47:18 +0000 /?p=31#comment-60 Hey liam, I think your comment about simulations providing us with some extra insight is the most important thing to take away from the big world of computer models and uncertainty. A good example is the weather, as you brough up. Many of the computer models used in meteorology research are actually modeling past events, i.e. a certain hurricane, or certain other weather system. The reason for this is so meteorologists can understand the weather better, or, have greater insight into the functions of the lower atmosphere. As for prediction models, and I would wager a guess for many other types of models, I don’t think it’s necessarily the model’s fault for not being able to complete an integral that we get wrong predictions, I think it is the people creating the models that don’t know enough yet to create it correctly. That’s why historical modelling is essential. As that famous saying goes, “the key to the present is the past”.

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