Why is the assimilation of local sensor data necessary even when global models are used?
Answer
A system relying solely on global models often misses hyper-local flash flood risks.
Effective prediction demands assimilating local sensor data, such as stream gauge readings or community observations, to calibrate larger, more generalized models, as global models alone can miss hyper-local risks.
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