Currently, it is difficult to define this type of analytic problem. The key issue is forecasting future global problems. It is necessary to collect additional analytical data over the next years and perhaps in about 100 years in huge Big Data database systems supported by another generation of artificial intelligence, it will be possible to forecast what can happen to the planet Earth in the next 1000 years.
In view of the above, the current question is: Will I be able to precisely forecast in the 21st century what will be the future of planet Earth in the next 1000 years?
Please, answer, comments. I invite you to the discussion.
Dear Dariusz
you can do it but your work doesn't have enough accuracy
-BEST
Optimistically, I would like to say there is a possibility, but in the "long" long-term. A few papers are discussing about the first applications of AI to Earth sciences and in particular in climate change (e.g., https://ascelibrary.org/doi/10.1061/40792%28173%2998)
For example, In global warming, AI is helping (testing phase?) to determine which models are more reliable by giving added weight to those whose predictions eventually prove to be more accurate, and less weight to those performing poorly. This should help improve the accuracy of climate change projections in the near future ...
However, your question includes multiple parameters, which means that AI algorithms should take into account newly discovered phenomena and thus adapted to continuous changes on Earth, in order to deliver a reliable forecast. From my point-of-view, it requires an AI 2.0 - perhaps the holy grail of AI research - when computers will be able to reason, abstract, understand and communicate like humans. That is not for tomorrow according to https://blogs.ei.columbia.edu/2018/06/05/artificial-intelligence-climate-environment/
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