Budget control
; Catchments
; Open Data
; Open source software
; Open systems
; Rivers
; Runoff
; Stream flow
; Catchment characteristics
; Catchment hydrology
; Continuous modeling
; Fresh water resources
; Hydrological prediction
; Parameter constraints
; Spatial and temporal variability
; Spatial variability
; Parameter estimation
; catchment
; data set
; hydrological modeling
; parameter estimation
; river flow
; Antarctica
; Canada
; Europe
; Far East
; Japan
; Russian Federation
; South America
; United States
Arheimer, B., Hydrology Research, Swedish Meteorological and Hydrological Institute (SMHI), Folkborgsvägen 17, Norrköping, 60176, Sweden; Pimentel, R., Hydrology Research, Swedish Meteorological and Hydrological Institute (SMHI), Folkborgsvägen 17, Norrköping, 60176, Sweden, Edf. Leonardo da Vinci, University of Cordoba, Campus de Rabanales, Córdoba, 14071, Spain; Isberg, K., Hydrology Research, Swedish Meteorological and Hydrological Institute (SMHI), Folkborgsvägen 17, Norrköping, 60176, Sweden; Crochemore, L., Hydrology Research, Swedish Meteorological and Hydrological Institute (SMHI), Folkborgsvägen 17, Norrköping, 60176, Sweden; Andersson, J.C.M., Hydrology Research, Swedish Meteorological and Hydrological Institute (SMHI), Folkborgsvägen 17, Norrköping, 60176, Sweden; Hasan, A., Hydrology Research, Swedish Meteorological and Hydrological Institute (SMHI), Folkborgsvägen 17, Norrköping, 60176, Sweden, Department of Physical Geography and Ecosystem Science, Lund University Box 117, Lund, 221 00, Sweden; Pineda, L., Hydrology Research, Swedish Meteorological and Hydrological Institute (SMHI), Folkborgsvägen 17, Norrköping, 60176, Sweden, School of Earth Sciences, Energy and Environment, Yachay Tech University, Hacienda San José, Urcuquí, Ecuador
Recommended Citation:
Arheimer B.,Pimentel R.,Isberg K.,et al. Global catchment modelling using World-Wide HYPE (WWH); open data; and stepwise parameter estimation[J]. Hydrology and Earth System Sciences,2020-01-01,24(2)