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Okay, so with all these data sources, you might think the computers do all the work, right? Nah, not quite! Human forecasters still play a super important role. They analyze all the data, interpret the model outputs, and create the final forecast. Forecasters need to understand the limitations of the data and models and use their experience and knowledge to make informed decisions. Human forecasters can recognize potential errors and incorporate their insights to refine and add value to the automated products. They can adjust forecasts based on local knowledge, changing conditions, and an understanding of the models. They also communicate the forecast to the public, answering questions and providing clarity.
