4.7 Article

Flexible watershed simulation with the Raven hydrological modelling framework

期刊

ENVIRONMENTAL MODELLING & SOFTWARE
卷 129, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2020.104728

关键词

Watershed model; Distributed hydrological modelling; Modelling framework; Hydrology; Object-oriented; Surface water models

资金

  1. NSERC Industrial Postgraduate Scholarship program
  2. NSERC
  3. BC Hydro
  4. National Research Council's Ocean, Coastal, and River Engineering division
  5. Ontario Power Generation
  6. Alberta WaterSmart
  7. Mac Hydro
  8. Northwest Hydraulics, Inc.
  9. Associated Engineering
  10. City of Calgary
  11. Alberta Environment and Parks
  12. CANARIE
  13. Deltares
  14. Environment and Climate Change Canada
  15. FloodNet NSERC strategic research network
  16. Government of the Northwest Territories
  17. Natural Resources Canada
  18. New Brunswick Environment and Local Government
  19. Ouranos
  20. TransAlta

向作者/读者索取更多资源

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. Ravens utility for examining the impact of model choices and sensitivity to structural model uncertainty is demonstrated with a set of simple test cases.

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