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Regional vs local LSTM models for short-term streamflow forecasting under operational constraints | Synapse
March 3, 2026
Regional vs local LSTM models for short-term streamflow forecasting under operational constraints
JS
Jorge Saavedra-Garrido
JA
Jorge Arevalo
LF
Luis De La Fuente
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Puntos clave
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.
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Saavedra-Garrido et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75abac6e9836116a20eeb
https://doi.org/https://doi.org/10.1016/j.envsoft.2026.106897
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