Data Assimilation

Assimilation is a process by which data from different sources, often surveys or observations, are combined and analyzed to produce a more accurate picture of the natural or social world.

This is done through a number of steps, including data cleaning, data analysis, and model construction.

One goal of assimilation is to improve the accuracy of predictions made using models based on data collected from different sources.

Leave a Reply

Your email address will not be published. Required fields are marked *

Scroll to Top