Data assimilation

Data assimilation is like a jigsaw puzzle. You have all the pieces to the puzzle but there are some pieces missing. To help you fill in the missing pieces, you look for clues from other places that might tell you what the missing pieces might look like. In data assimilation, you use clues from other data sources to fill in the missing pieces of a data set. This helps scientists to make better predictions about the future, by adding more information to the data set.