Show HN: Day-ahead river discharge forecasting using USGS and ERA5 data (opens in new tab)

Forecasting the discharge of large rivers is a critical challenge for water resource management, navigation, flood prevention, and the operation of hydraulic infrastructure. Yet, building a robust forecasting pipeline from real-world data requires far more than simply training a machine learning model: you first need to identify relevant data sources, clean and harmonize them, and engineer appropriate explanatory variables.