Learn in the textbookData Science and Modeling & Simulation
DefinitionData assimilation (データ同化) is a method that feeds observations into a running model to bring the model's state closer to reality.
ExplanationEvery model differs from reality, and the gap tends to build up as the calculation runs. Feeding in observations as they arrive keeps that drift small. Weather forecasting is the classic application.
AnalogyThink of a car navigation system that keeps receiving satellite positioning data while you drive and keeps correcting your location on the map.
Memory hookIn biology, assimilation turns what an organism takes in into part of itself, much as observations become part of the model here.