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Acronyms
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Acronym | Description or definition | C3S | Copernicus Climate Change Service | CDS | Climate Data Store | CII | Climate Impact Indicator | E-HYPE | European setup of the HYPE (Hydrological Predictions for the Environment) model | E-HYPEcatch | European setup of the HYPE (Hydrological Predictions for the Environment) model, catchment resolution | E-HYPEgrid | European setup of the HYPE (Hydrological Predictions for the Environment) model, 5km grid resolution | ECMWF | European Centre for Medium-Range Weather Forecasts | EFAS-Meteo | European Flood Awareness Systems (EFAS) Meteorological data set | GCM | Global Climate Model | QA | Quality Assurance | RCM | Regional Climate Model | RCP | Representative Concentration Pathway | VIC | Variable Infiltration Capacity (VIC) hydrological model |
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E-HYPEcatch is the original E-HYPE model with irregular polygons that delineate the sub-catchment. The shape files for the E-HYPEcatch models can be found here: {_}{+}http://doi.org/10.5281/zenodo.581451+_
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In order to account for the uncertainty in the estimated model parameters, a multi-model ensemble was generated. This was performed by first identifying the most sensitive parameters for the model calibrated using the procedure described in Hundecha et al. (2020). The dominant soil and land use parameters corresponding to the eight catchment groups, along with the general parameters were sampled using the SAFE sensitivity and uncertainty analysis toolbox (Pianosi et al. 2015) to generate 10000 randomly distributed samples with the latin hypercube strategy. The model performance was assessed in terms of NSE.
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Pianosi F, Fanny S, Wagener T (2015) A Matlab Toolbox for Global Sensitivity Analysis. Environ Modell Softw 70: 80–85.
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