A heterogeneous weighting strategy for leveraging Cross-Basin data enhances the Usability of deep learning hydrological models

Key Points

• A heterogeneous weighting strategy improves usability of hydrological models, facilitating better predictions.
• Key evidence indicates that leveraging cross-basin data significantly enhances model performance, potentially by over 20%.
• Observational analysis of cross-basin data reveals how strategic weighting can optimize hydrological simulation outcomes.
• This approach highlights the necessity for improved data integration strategies in hydrological modeling for enhanced decision-making.