Abteilung Systemanalyse, Integrated Assessment und Modellierung

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      authors => protected'Dal Molin, M.; Kavetski, D.; Fenicia, F.' (55 chars)
      title => protected'SuperflexPy 1.3.0: an open-source Python framework for building, testing, an
         d improving conceptual hydrological models' (118 chars)
      journal => protected'Geoscientific Model Development' (31 chars)
      year => protected2021 (integer)
      volume => protected14 (integer)
      issue => protected'11' (2 chars)
      startpage => protected'7047' (4 chars)
      otherpage => protected'7072' (4 chars)
      categories => protected'' (0 chars)
      description => protected'Catchment-scale hydrological models are widely used to represent and improve
          our understanding of hydrological processes and to support operational wate
         r resource management. Conceptual models, which approximate catchment dynami
         cs using relatively simple storage and routing elements, offer an attractive
          compromise in terms of predictive accuracy, computational demands, and amen
         ability to interpretation. This paper introduces SuperflexPy, an open-source
          Python framework implementing the SUPERFLEX principles (Fenicia et al., 201
         1) for building conceptual hydrological models from generic components, with
          a high degree of control over all aspects of model specification. Superflex
         Py can be used to build models of a wide range of spatial complexity, rangin
         g from simple lumped models (e.g., a reservoir) to spatially distributed con
         figurations (e.g., nested sub-catchments), with the ability to customize all
          individual model components. SuperflexPy is a Python package, enabling mode
         lers to exploit the full potential of the framework without the need for sep
         arate software installations and making it easier to use and interface with 
         existing Python code for model deployment. This paper presents the general a
         rchitecture of SuperflexPy, discusses the software design and implementation
          choices, and illustrates its usage to build conceptual models of varying de
         grees of complexity. The illustration includes the usage of existing Superfl
         exPy model elements, as well as their extension to implement new functionali
         ty. Comprehensive documentation is available online and provided as a Supple
         ment to this paper. SuperflexPy is available as open-source code and can be 
         used by the hydrological community to investigate improved process represent
         ations for model comparison and for operational work.' (1801 chars)
      serialnumber => protected'1991-959X' (9 chars)
      doi => protected'10.5194/gmd-14-7047-2021' (24 chars)
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