Advancing hydrological modeling requires developing adequate mathematical models to depict processes and phenomena that influence hydrological responses. Many aspects of hydrology offer a field of improvement: new ways to collect hydrological measures, in terms of advanced recording device and design of optimal data network; new approaches for analyzing data, highlighting the issues of spatial and temporal variability; new parameterizations for hydrological model, in order to cope with the issues of scarcely or ungauged basins. The contributions of this Minisymposium give answer to open challenges in the field of hydrological modelling, melting the theory with data. This aspect is key to obtain reliable representation of reality. Indeed, the hydrological knowledge ultimately comes from observations, experiments and measurements. Two contributions deal with the issue of collecting data and the best way to analyze them. Three contributions develop methods for interpreting data in relation with practical purposes. Finally two contributes deal with parameterizations of mathematical model.
Preface of the "Second Minisymposium on Mathematical Modeling in Hydrology" / Ubertini, Lucio; Russo, Fabio. - ELETTRONICO. - (2013), pp. 1664-1664. [10.1063/1.4825848]
Preface of the "Second Minisymposium on Mathematical Modeling in Hydrology"
UBERTINI, Lucio;RUSSO, FABIO
2013
Abstract
Advancing hydrological modeling requires developing adequate mathematical models to depict processes and phenomena that influence hydrological responses. Many aspects of hydrology offer a field of improvement: new ways to collect hydrological measures, in terms of advanced recording device and design of optimal data network; new approaches for analyzing data, highlighting the issues of spatial and temporal variability; new parameterizations for hydrological model, in order to cope with the issues of scarcely or ungauged basins. The contributions of this Minisymposium give answer to open challenges in the field of hydrological modelling, melting the theory with data. This aspect is key to obtain reliable representation of reality. Indeed, the hydrological knowledge ultimately comes from observations, experiments and measurements. Two contributions deal with the issue of collecting data and the best way to analyze them. Three contributions develop methods for interpreting data in relation with practical purposes. Finally two contributes deal with parameterizations of mathematical model.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.