Framework

A Python library for building Conceptual Distributed Model

Hapi

Hapi is an open-source Python Framework for building raster-based conceptual distributed hydrological models using HBV96 lumped model & Muskingum routing method at a catchment scale, Hapi gives a high degree of flexibility to all components of the model (spatial discretization – cell size, temporal resolution, parameterization approaches and calibration).

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Main Features

  • Modified version of HBV96 hydrological model (Bergström, 1992) with 15 parameters in case of considering
    snow processes, and 10 parameters without snow, in addition to 2 parameters of Muskingum routing method
  • Remote sensing module to download the meteorological inputs required for the hydrologic model simulation (ECMWF)
  • GIS modules to enable the modeler to fully prepare the meteorological inputs and do all the preprocessing
    needed to build the model (align rasters with the DEM), in addition

     

     

     

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