Regional vs local LSTM models for short-term streamflow forecasting under operational constraints

Key Points

• Streamflow forecasting accuracy varies between regional and local LSTM models, with significant implications for water management.
• The regional LSTM model achieved a 15% improvement in forecasting accuracy compared to the local approach in specific scenarios.
• Assessment using streamflow data from multiple watersheds demonstrated the advantages of regional modeling over localized methods.
• Findings support the development of models that consider operational constraints, needing further validation in diverse environments.