brodyu/ml-streamflow-forecasting
Machine learning research repository for the Hawaiʻi EPSCoR ʻIke Wai Project.
This project helps water resource managers and environmental scientists forecast streamflow discharge using historical weather and stream level data. It takes in local precipitation, temperature, and humidity records to predict future streamflow levels, providing crucial insights for water budgeting, pollution tracking, and ecosystem health studies. The primary users are hydrologists and environmental policy makers, especially in data-scarce tropical island regions.
No commits in the last 6 months.
Use this if you need to predict streamflow discharge in freshwater streams, particularly when direct measurement data is limited or unavailable for certain streams.
Not ideal if you require hyper-local, real-time predictions for very short-term events or need predictions for streams with vastly different hydrological characteristics than those in tropical island settings.
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Last pushed
Feb 11, 2024
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