Data assimilation: mathematics for merging models and data
오버불파크에서 찍은 현대수학의 면모
When you describe a physical process, for example, the weather on Earth, or an engineered system, such as a self-driving car, you typically have two sources of information. The first is a mathematical model, and the second is information obtained by collecting data. To make the best predictions for the weather, or most effectively operate the self-driving car, you want to use both sources of information. Data assimilation describes the mathematical, numerical and computational framework for doing just that.
If you are interested in translating this Snapshot, please contact us at firstname.lastname@example.org