HBV-SIMREG is a model-parameter set-up consisting of the simple conceptual model HBV and an ensemble of global-scale parameter fields produced using a novel similarity-based regionalization scheme. The scheme transfers calibrated parameter sets from hundreds of donor catchments with high calibration and validation scores to grid cells with similar climatic and physiographic characteristics, resulting in parameter maps for HBV with global coverage. HBV-SIMREG was found to outperform nine state-of-the-art global hydrological models including their ensemble mean. For more info see our EGU 2016 presentation or poster or the following open-access publication:
- Beck, H.E., A.I.J.M. van Dijk, A. de Roo, D.G. Miralles, T.R. McVicar, J. Schellekens, L.A. Bruijnzeel (2016): Global-scale regionalization of hydrologic model parameters, Water Resources Research, 52, doi:10.1002/2015WR018247.
Download here a zip file containing (1) the parameter maps, (2) a shapefile with information about the catchments, and (3) the Matlab implementation of HBV. By using HBV-SIMREG in any publication you agree to cite the above-mentioned paper.
HBV-SIMREG was developed by Hylke Beck (Princeton University, Princeton, USA) in collaboration with Albert van Dijk (ANU, Canberra, Australia), Ad de Roo (JRC, Ispra, Italy), Diego Miralles (VU Amsterdam, The Netherlands), Jaap Schellekens (Deltares, Delft, The Netherlands), Tim McVicar (CSIRO, Canberra, Australia), and Sampurno Bruijnzeel (King’s College London, UK). We gratefully acknowledge the Global Runoff Data Centre (GRDC) and the U.S. Geological Survey (USGS) for providing most of the observed streamflow data.