"Using HydroForecast has provided extremely helpful insight into short-term and long-term/seasonal inflow predictions. The graphics effectively communicate forecasts in a manner which allows teams from various disciplines to easily interpret and utilize the information, [and] HydroForecast also allows for easy integration into other in-house tools."
Improved seasonal forecasts can help water resource teams manage their valuable and increasingly volatile water supplies further ahead in the future.
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HydroForecast Seasonal’s “Similarity Analog” approach brings the latest in theory-guided machine learning to tested seasonal forecasting approaches.
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