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Hydrological model-based streamflow reconstruction for Indian sub-continental river basins, 1951–2021

Streamflow is a vital component of the global water cycle. Long-term streamflow observations are required for water resources planning and management, hydroclimatic extremes analysis, and ecological assessment. However, long-term streamflow observations for the Indian-Subcontinental (ISC) river basi...

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Autores principales: Chuphal, Dipesh Singh, Mishra, Vimal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584895/
https://www.ncbi.nlm.nih.gov/pubmed/37853036
http://dx.doi.org/10.1038/s41597-023-02618-w
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author Chuphal, Dipesh Singh
Mishra, Vimal
author_facet Chuphal, Dipesh Singh
Mishra, Vimal
author_sort Chuphal, Dipesh Singh
collection PubMed
description Streamflow is a vital component of the global water cycle. Long-term streamflow observations are required for water resources planning and management, hydroclimatic extremes analysis, and ecological assessment. However, long-term streamflow observations for the Indian-Subcontinental (ISC) river basins are lacking. Using meteorological observations, state-of-the-art hydrological model, and river routing model, we developed hydrological model-simulated monthly streamflow from 1951–2021 for the ISC river basins. We used high-resolution vector-based routing model (mizuRoute) to generate streamflow at 9579 stream reaches in the sub-continental river basins. The model-simulated streamflow showed good performance against the observed flow with coefficient of determination (R(2)) and Nash-Sutcliffe efficiency (NSE) above 0.70 for more than 60% of the gauge stations. The dataset was used to examine the variability in low, average, and high flow across the streams. Long-term changes in streamflow showed a significant decline in flow in the Ganga basin while an increase in the semi-arid western India and Indus basin. Long-term streamflow can be used for planning water management and climate change adaptation in the Indian sub-continent.
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spelling pubmed-105848952023-10-20 Hydrological model-based streamflow reconstruction for Indian sub-continental river basins, 1951–2021 Chuphal, Dipesh Singh Mishra, Vimal Sci Data Data Descriptor Streamflow is a vital component of the global water cycle. Long-term streamflow observations are required for water resources planning and management, hydroclimatic extremes analysis, and ecological assessment. However, long-term streamflow observations for the Indian-Subcontinental (ISC) river basins are lacking. Using meteorological observations, state-of-the-art hydrological model, and river routing model, we developed hydrological model-simulated monthly streamflow from 1951–2021 for the ISC river basins. We used high-resolution vector-based routing model (mizuRoute) to generate streamflow at 9579 stream reaches in the sub-continental river basins. The model-simulated streamflow showed good performance against the observed flow with coefficient of determination (R(2)) and Nash-Sutcliffe efficiency (NSE) above 0.70 for more than 60% of the gauge stations. The dataset was used to examine the variability in low, average, and high flow across the streams. Long-term changes in streamflow showed a significant decline in flow in the Ganga basin while an increase in the semi-arid western India and Indus basin. Long-term streamflow can be used for planning water management and climate change adaptation in the Indian sub-continent. Nature Publishing Group UK 2023-10-18 /pmc/articles/PMC10584895/ /pubmed/37853036 http://dx.doi.org/10.1038/s41597-023-02618-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Chuphal, Dipesh Singh
Mishra, Vimal
Hydrological model-based streamflow reconstruction for Indian sub-continental river basins, 1951–2021
title Hydrological model-based streamflow reconstruction for Indian sub-continental river basins, 1951–2021
title_full Hydrological model-based streamflow reconstruction for Indian sub-continental river basins, 1951–2021
title_fullStr Hydrological model-based streamflow reconstruction for Indian sub-continental river basins, 1951–2021
title_full_unstemmed Hydrological model-based streamflow reconstruction for Indian sub-continental river basins, 1951–2021
title_short Hydrological model-based streamflow reconstruction for Indian sub-continental river basins, 1951–2021
title_sort hydrological model-based streamflow reconstruction for indian sub-continental river basins, 1951–2021
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584895/
https://www.ncbi.nlm.nih.gov/pubmed/37853036
http://dx.doi.org/10.1038/s41597-023-02618-w
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