Flexible watershed simulation with the Raven hydrological modelling framework
Autor: | Martin Serrer, Mahyar Shafii, Bryan A. Tolson, Juliane Mai, Robert Chlumsky, Genevieve Brown, Georg Jost, James R. Craig, Nicholas Sgro, Andrew P. Snowdon, R. Wayne Jenkinson, Konhee Lee |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
surface water models
Mathematical optimization Environmental Engineering 010504 meteorology & atmospheric sciences Discretization object-oriented Computer science Ecological Modeling Hydrological modelling 0207 environmental engineering hydrology 02 engineering and technology 01 natural sciences Triangulated irregular network watershed model Set (abstract data type) Routing (hydrology) Test case distributed hydrological modelling Sensitivity (control systems) 020701 environmental engineering modelling framework Software 0105 earth and related environmental sciences Interpolation |
Popis: | A general formulation of a surface water hydrological model is posed that enables multiple numerical schemes, model structures, discretization schemes, and interpolation approaches to be tested, compared, and/or used for assessment of structural uncertainty and algorithm skill. This formulation is the basis for the object-oriented and open source hydrological modelling framework Raven. Raven is uniquely capable of fully emulating and then modifying or extending a number of existing hydrological models of differing design, including the UBC watershed model, GR4J, MOHYSE, HMETS, and HBV-EC. More than 100 compatible process algorithm options and more than 80 interchangeable options for both routing and the estimation of forcings support the testing of trillions of possible model configurations. It supports general spatial discretization, including grids, subbasin/hydrologic response units, lumped, or triangulated irregular network models. Raven’s utility for examining the impact of model choices and sensitivity to structural model uncertainty is demonstrated with a set of simple test cases. |
Databáze: | OpenAIRE |
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