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A hybrid approach to enhance streamflow simulation in data-constrained Himalayan basins: combining the Glacio-hydrological Degree-day Model and recurrent neural networks

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Published in:Proceedings of the International Association of Hydrological Sciences
Format: Online Article RSS Article
Published: 2024
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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:68200
institution FRELIP
journal_source_facet Proceedings of the International Association of Hydrological Sciences
last_indexed 2026-06-20T21:28:46.356Z
publishDate 2024
publishDateSort 2024
record_format rss_article
spellingShingle A hybrid approach to enhance streamflow simulation in data-constrained Himalayan basins: combining the Glacio-hydrological Degree-day Model and recurrent neural networks
Hydrology
General
Hydrology
sub_discipline_display General
sub_discipline_facet General
subject_display Hydrology
General
Hydrology
subject_facet Hydrology
General
Hydrology
title A hybrid approach to enhance streamflow simulation in data-constrained Himalayan basins: combining the Glacio-hydrological Degree-day Model and recurrent neural networks
title_alt Un enfoque híbrido para mejorar la simulación de caudales en cuencas del Himalaya con datos limitados: combinando el modelo glacio-hidrológico de grado-día y redes neuronales recurrentes
Une approche hybride pour améliorer la simulation des débits dans les bassins himalayens à données limitées : combinaison du modèle glacio-hydrologique degré-jour et des réseaux de neurones récurrents
Uma abordagem híbrida para melhorar a simulação de vazão em bacias do Himalaia com dados limitados: combinando o Modelo Glacio-Hidrológico Grau-Dia e redes neurais recorrentes
title_auth A hybrid approach to enhance streamflow simulation in data-constrained Himalayan basins: combining the Glacio-hydrological Degree-day Model and recurrent neural networks
title_es_txt Un enfoque híbrido para mejorar la simulación de caudales en cuencas del Himalaya con datos limitados: combinando el modelo glacio-hidrológico de grado-día y redes neuronales recurrentes
title_fr_txt Une approche hybride pour améliorer la simulation des débits dans les bassins himalayens à données limitées : combinaison du modèle glacio-hydrologique degré-jour et des réseaux de neurones récurrents
title_full A hybrid approach to enhance streamflow simulation in data-constrained Himalayan basins: combining the Glacio-hydrological Degree-day Model and recurrent neural networks
title_fullStr A hybrid approach to enhance streamflow simulation in data-constrained Himalayan basins: combining the Glacio-hydrological Degree-day Model and recurrent neural networks
title_full_unstemmed A hybrid approach to enhance streamflow simulation in data-constrained Himalayan basins: combining the Glacio-hydrological Degree-day Model and recurrent neural networks
title_pt_txt Uma abordagem híbrida para melhorar a simulação de vazão em bacias do Himalaia com dados limitados: combinando o Modelo Glacio-Hidrológico Grau-Dia e redes neurais recorrentes
title_short A hybrid approach to enhance streamflow simulation in data-constrained Himalayan basins: combining the Glacio-hydrological Degree-day Model and recurrent neural networks
title_sort a hybrid approach to enhance streamflow simulation in data-constrained himalayan basins: combining the glacio-hydrological degree-day model and recurrent neural networks
topic Hydrology
General
Hydrology
url https://doi.org/10.5194/piahs-387-17-2024