How much data is needed forhydrological modeling?

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1. 1Benchmarking physics-based, machine learning, and hybrid hydrology models at multiple catchments in Southern Norway.2024
2. 2Hybrid Neural Hydrology: Integrating Physical and Machine Learning Models for Enhanced Predictions in Ungauged Basins2024 · 2 citations
3. 3A bottom-up approach to identify important hydrological processes by evaluating a national scale EA-LSTM model for Denmark2024
4. 4A national-scale hybrid model for enhanced streamflow estimation – consolidating a physically based hydrological model with long short-term memory (LSTM) networks2024 · 38 citations
5. 5Comparing the hybrid-lumped-LSTM model with a semi-distributed model for improved hydrological modeling2024 · 23 citations