The streamflow forecasting tool proposed here will automate data collection and processing for machine learning (data-driven) models by querying online databases from Alberta Agriculture and the National Oceanic and Atmospheric Administration (NOAA), and then using the received data to predict the current year’s average monthly and seasonal streamflow with minimal input from users. Of relevance […]
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