SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models

<p>Catchment-scale hydrological models are widely used to represent and improve our understanding of hydrological processes and to support operational water resource management. Conceptual models, which approximate catchment dynamics using relatively simple storage and routing elements, offer...

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Autores principales:	M. Dal Molin, D. Kavetski, F. Fenicia
Formato:	article
Lenguaje:	EN
Publicado:	Copernicus Publications 2021
Materias:	Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/93bedaba0275409d8da0df7d51b13fe8
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spelling	oai:doaj.org-article:93bedaba0275409d8da0df7d51b13fe82021-11-19T07:34:08ZSuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models10.5194/gmd-14-7047-20211991-959X1991-9603https://doaj.org/article/93bedaba0275409d8da0df7d51b13fe82021-11-01T00:00:00Zhttps://gmd.copernicus.org/articles/14/7047/2021/gmd-14-7047-2021.pdfhttps://doaj.org/toc/1991-959Xhttps://doaj.org/toc/1991-9603<p>Catchment-scale hydrological models are widely used to represent and improve our understanding of hydrological processes and to support operational water resource management. Conceptual models, which approximate catchment dynamics using relatively simple storage and routing elements, offer an attractive compromise in terms of predictive accuracy, computational demands, and amenability to interpretation. This paper introduces SuperflexPy, an open-source Python framework implementing the SUPERFLEX principles (Fenicia et al., 2011) for building conceptual hydrological models from generic components, with a high degree of control over all aspects of model specification. SuperflexPy can be used to build models of a wide range of spatial complexity, ranging from simple lumped models (e.g., a reservoir) to spatially distributed configurations (e.g., nested sub-catchments), with the ability to customize all individual model components. SuperflexPy is a Python package, enabling modelers to exploit the full potential of the framework without the need for separate software installations and making it easier to use and interface with existing Python code for model deployment. This paper presents the general architecture of SuperflexPy, discusses the software design and implementation choices, and illustrates its usage to build conceptual models of varying degrees of complexity. The illustration includes the usage of existing SuperflexPy model elements, as well as their extension to implement new functionality. Comprehensive documentation is available online and provided as a Supplement to this paper. SuperflexPy is available as open-source code and can be used by the hydrological community to investigate improved process representations for model comparison and for operational work.</p>M. Dal MolinM. Dal MolinD. KavetskiD. KavetskiD. KavetskiF. FeniciaCopernicus PublicationsarticleGeologyQE1-996.5ENGeoscientific Model Development, Vol 14, Pp 7047-7072 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Geology QE1-996.5
spellingShingle	Geology QE1-996.5 M. Dal Molin M. Dal Molin D. Kavetski D. Kavetski D. Kavetski F. Fenicia SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models
description	<p>Catchment-scale hydrological models are widely used to represent and improve our understanding of hydrological processes and to support operational water resource management. Conceptual models, which approximate catchment dynamics using relatively simple storage and routing elements, offer an attractive compromise in terms of predictive accuracy, computational demands, and amenability to interpretation. This paper introduces SuperflexPy, an open-source Python framework implementing the SUPERFLEX principles (Fenicia et al., 2011) for building conceptual hydrological models from generic components, with a high degree of control over all aspects of model specification. SuperflexPy can be used to build models of a wide range of spatial complexity, ranging from simple lumped models (e.g., a reservoir) to spatially distributed configurations (e.g., nested sub-catchments), with the ability to customize all individual model components. SuperflexPy is a Python package, enabling modelers to exploit the full potential of the framework without the need for separate software installations and making it easier to use and interface with existing Python code for model deployment. This paper presents the general architecture of SuperflexPy, discusses the software design and implementation choices, and illustrates its usage to build conceptual models of varying degrees of complexity. The illustration includes the usage of existing SuperflexPy model elements, as well as their extension to implement new functionality. Comprehensive documentation is available online and provided as a Supplement to this paper. SuperflexPy is available as open-source code and can be used by the hydrological community to investigate improved process representations for model comparison and for operational work.</p>
format	article
author	M. Dal Molin M. Dal Molin D. Kavetski D. Kavetski D. Kavetski F. Fenicia
author_facet	M. Dal Molin M. Dal Molin D. Kavetski D. Kavetski D. Kavetski F. Fenicia
author_sort	M. Dal Molin
title	SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models
title_short	SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models
title_full	SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models
title_fullStr	SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models
title_full_unstemmed	SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models
title_sort	superflexpy 1.3.0: an open-source python framework for building, testing, and improving conceptual hydrological models
publisher	Copernicus Publications
publishDate	2021
url	https://doaj.org/article/93bedaba0275409d8da0df7d51b13fe8
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SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models

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