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Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa)

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Published in:Proceedings of the International Association of Hydrological Sciences
Format: Online Article RSS Article
Published: 2026
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container_title Proceedings of the International Association of Hydrological Sciences
description
discipline_display Hydrology
discipline_facet Hydrology
format Online Article
RSS Article
genre Journal Article
id rss_article:68182
institution FRELIP
journal_source_facet Proceedings of the International Association of Hydrological Sciences
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa)
Hydrology
General
Hydrology
sub_discipline_display General
sub_discipline_facet General
subject_display Hydrology
General
Hydrology
Hydrology
General
Hydrology
subject_facet Hydrology
General
Hydrology
title Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa)
title_auth Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa)
title_full Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa)
title_fullStr Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa)
title_full_unstemmed Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa)
title_short Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa)
title_sort residual-based hybrid modeling combining gr4j and machine learning for streamflow prediction in data-scarce catchment: case of the ouémé catchment at bonou (benin, west africa)
topic Hydrology
General
Hydrology
url https://doi.org/10.5194/piahs-389-9-2026