Using nested discretization for a detailed yet computationally efficient simulation of local hydrology in a distributed hydrologic model

Abstract Fully distributed hydrologic models are often used to simulate hydrologic states at fine spatio-temporal resolutions. However, simulations based on these models may become computationally expensive, constraining their applications to smaller domains. This study demonstrates that a nested-di...

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Autores principales:	Dongdong Wang, Yanlan Liu, Mukesh Kumar
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2c23104f3cc6440d82539b3d91c43d9f
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spelling	oai:doaj.org-article:2c23104f3cc6440d82539b3d91c43d9f2021-12-02T15:08:54ZUsing nested discretization for a detailed yet computationally efficient simulation of local hydrology in a distributed hydrologic model10.1038/s41598-018-24122-72045-2322https://doaj.org/article/2c23104f3cc6440d82539b3d91c43d9f2018-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-24122-7https://doaj.org/toc/2045-2322Abstract Fully distributed hydrologic models are often used to simulate hydrologic states at fine spatio-temporal resolutions. However, simulations based on these models may become computationally expensive, constraining their applications to smaller domains. This study demonstrates that a nested-discretization based modeling strategy can be used to improve the efficiency of distributed hydrologic simulations, especially for applications where fine resolution estimates of hydrologic states are of the focus only within a part of a watershed. To this end, we consider two applications where the goal is to capture the groundwater dynamics within a defined target area. Our results show that at the target locations, a nested simulation is able to competently replicate the estimates of groundwater table as obtained from the fine simulation, while yielding significant computational savings. The results highlight the potential of using nested discretization for a detailed yet computationally efficient estimation of hydrologic states in part of the model domain.Dongdong WangYanlan LiuMukesh KumarNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dongdong Wang Yanlan Liu Mukesh Kumar Using nested discretization for a detailed yet computationally efficient simulation of local hydrology in a distributed hydrologic model
description	Abstract Fully distributed hydrologic models are often used to simulate hydrologic states at fine spatio-temporal resolutions. However, simulations based on these models may become computationally expensive, constraining their applications to smaller domains. This study demonstrates that a nested-discretization based modeling strategy can be used to improve the efficiency of distributed hydrologic simulations, especially for applications where fine resolution estimates of hydrologic states are of the focus only within a part of a watershed. To this end, we consider two applications where the goal is to capture the groundwater dynamics within a defined target area. Our results show that at the target locations, a nested simulation is able to competently replicate the estimates of groundwater table as obtained from the fine simulation, while yielding significant computational savings. The results highlight the potential of using nested discretization for a detailed yet computationally efficient estimation of hydrologic states in part of the model domain.
format	article
author	Dongdong Wang Yanlan Liu Mukesh Kumar
author_facet	Dongdong Wang Yanlan Liu Mukesh Kumar
author_sort	Dongdong Wang
title	Using nested discretization for a detailed yet computationally efficient simulation of local hydrology in a distributed hydrologic model
title_short	Using nested discretization for a detailed yet computationally efficient simulation of local hydrology in a distributed hydrologic model
title_full	Using nested discretization for a detailed yet computationally efficient simulation of local hydrology in a distributed hydrologic model
title_fullStr	Using nested discretization for a detailed yet computationally efficient simulation of local hydrology in a distributed hydrologic model
title_full_unstemmed	Using nested discretization for a detailed yet computationally efficient simulation of local hydrology in a distributed hydrologic model
title_sort	using nested discretization for a detailed yet computationally efficient simulation of local hydrology in a distributed hydrologic model
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/2c23104f3cc6440d82539b3d91c43d9f
work_keys_str_mv	AT dongdongwang usingnesteddiscretizationforadetailedyetcomputationallyefficientsimulationoflocalhydrologyinadistributedhydrologicmodel AT yanlanliu usingnesteddiscretizationforadetailedyetcomputationallyefficientsimulationoflocalhydrologyinadistributedhydrologicmodel AT mukeshkumar usingnesteddiscretizationforadetailedyetcomputationallyefficientsimulationoflocalhydrologyinadistributedhydrologicmodel
_version_	1718387989473656832

Using nested discretization for a detailed yet computationally efficient simulation of local hydrology in a distributed hydrologic model

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