Behind the scenes with HydroForecast Seasonal
Автор: Upstream Tech
Загружено: 2025-08-06
Просмотров: 8
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Our most advanced model yet, HydroForecast Seasonal-3 is now capturing intricate intraday relationships. CEO Marshall Moutenot and Machine Learning Engineer Simon Topp are here to break down how we do it. 👇
HydroForecast learns the underlying physics of hydrology directly from high-quality training data. With sufficient data depth, AI can truly internalize physical relationships across space and time, from intraday patterns to decadal trends.
But one of the most innovative aspects of our approach is a "space for time" substitution. With our broad training dataset spanning many watersheds, we can handle domain shifts elegantly. If conditions in one location change, the model recognizes similar patterns it has learned from other areas — treating each watershed as a "parallel universe" of hydrological relationships. (Cue the Twilight Zone theme music!)
If you enjoyed this discussion, be sure to register for our upcoming webinar. We'll dive even deeper into our seasonal model.
📽️ Register here: https://hubs.la/Q03B0pnG0
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