Session 2

Our capacity to observe hydrological states and fluxes at the catchment scale has greatly increased over the last decades. Novel technologies have become available that allow an unprecedented spatial and temporal resolution of the components of the terrestrial hydrological balance. Data assimilation approaches have gained increasing interest as they allow for an optimal integration of data and models and they have been shown to be ideally suited for forecasting hydrological processes and managing water resources. Data assimilation also allows determining the value of measurement data and the accuracy gain/reduction if the density of the monitoring network is changed. It can therefore contribute to the design of monitoring networks that give an adequate balance between accuracy and costs. This session welcomes contributions that link observational data with hydrological models in order to improve our understanding of hydrological processes and for real-time management of water resources.

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Conveners: Gabriëlle De Lannoy, Roland Baatz

Our capacity to observe hydrological states and fluxes at the catchment scale has greatly increased over the last decades. Novel technologies have become available that allow an unprecedented spatial and temporal resolution of the components of the terrestrial hydrological balance. Data assimilation approaches have gained increasing interest as they allow for an optimal integration of data and models and they have been shown to be ideally suited for forecasting hydrological processes and managing water resources. Data assimilation also allows determining the value of measurement data and the accuracy gain/reduction if the density of the monitoring network is changed. It can therefore contribute to the design of monitoring networks that give an adequate balance between accuracy and costs. This session welcomes contributions that link observational data with hydrological models in order to improve our understanding of hydrological processes and for real-time management of water resources.