Value of Groundwater Data in the Assimilation of the Groundwater-Soil-Land-Surface Nexus

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The project investigates (a) whether and how groundwater observations and the estimation of aquifer properties improve the overall state estimation and prediction by data assimilation in coupled atmosphere-surface-subsurface systems, and (b) whether and how updating states and properties of neighbouring compartments improves the state estimation of the groundwater compartment. We expect added value by a consistent treatment of fluxes across aquifer boundaries in all neighbouring compartments within a coupled modeling framework. However, incorporating neighbouring compartments increases computational efforts, and adds conceptual and parametric uncertainty besides mismatching spatial and temporal scales between the compartments. The project will develop the best strategy for updating groundwater states and parameters both in a weakly and strongly coupled data assimilation framework based on TerrSysMP-PDAF.