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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:

Down­load

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.

ACKNOWL­EDGE­MENTS

P17-JRC_referenceHBV-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.