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- W4254709631 abstract "<p>In this research we evaluated the WaterGAP Global Hydrological Model (WGHM) parameter uncertainties and predictive intervals for multi-type variables, including streamflow, total water storage anomaly (TWSA) and snow cover based on the Generalized Likelihood Uncertainty Estimation (GLUE) method, for a large river basin in North America, the Mississippi basin. The GLUE approach is built on Monte Carlo concept, in which simulations are performed for all the parameter sets. The parameter sets are sampled from a prior range of the parameters using the Latin Hypercube Sampling. The Nash-Sutcliffe efficiency was used as likelihood measure in case of all variables. The behavioral set of models were selected as those which result likelihood measures above the pre-specified thresholds for all three variables or subsets. These behavioral parameters set were used to analyze different parameters uncertainties, trade-offs among the variables, and the influence of each individual observation data on constraining other variables.</p>" @default.
- W4254709631 created "2022-05-12" @default.
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- W4254709631 date "2020-03-23" @default.
- W4254709631 modified "2023-09-26" @default.
- W4254709631 title "Uncertainty analysis of the global hydrological model WGHM using the GLUE method for multi-type variables in the Mississippi basin" @default.
- W4254709631 doi "https://doi.org/10.5194/egusphere-egu2020-9041" @default.
- W4254709631 hasPublicationYear "2020" @default.
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