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* **Environmental Factors:** Climate changes and environmental degradation may have also played a role.
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Data assimilation is the process of incorporating observations into numerical weather prediction models. The better the data assimilation, the more accurate the model forecasts. In the future, we can expect to see advancements in data assimilation techniques that allow us to make even better use of the vast amounts of weather data that are available. This includes incorporating data from new sources, like drones and mobile devices, and developing more sophisticated methods for handling data errors and uncertainties.
