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The document discusses the importance of uncertainty analysis in streamflow data, highlighting the need for accurate rating curves and the challenges associated with establishing them. It introduces BaRatin, a software tool for Bayesian inference that aids in combining expert knowledge and measurement data to create probabilistic streamflow series. The conclusions emphasize the potential for improved hydrological statistics through effective uncertainty quantification and aggregation methods.

Author

SS

Language

EN