Google Research·· 2026-06-04
The next chapter in flood resilience: Open sourcing Google’s hydrology framework
The next chapter in flood resilience: Open sourcing Google’s hydrology framework
AI summary
Google Research open-sourced its hydrological modelling framework on GitHub under Apache 2.0, enabling national weather and hydrology agencies to integrate AI flood forecasting. The Python package uses PyTorch and an LSTM architecture, can train or fine-tune on Caravan data, and includes interactive tutorial notebooks and videos.
Selection record
Threshold 60Official, first-handFirst 62Second 62
AdmittedSum of both 124 ≥ twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：开源AI洪水预报模型框架
- Why it was chosen
- The release details its architecture, training data and forecast lead-time improvements over the previous version.
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: Google Research · research.google