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

该项目调查(A)地下水观测和对含水层性质的估计是否以及如何通过大气-地表-地下耦合系统中的数据同化来改进总体状态估计和预测，以及(B)更新相邻隔层的状态和性质是否以及如何改进地下水隔层的状态估计。我们期望通过在一个耦合的建模框架内一致地处理所有相邻隔层中跨越含水层边界的通量来增加价值。然而，合并相邻的舱室增加了计算工作量，并且除了舱室之间的空间和时间尺度不匹配之外，还增加了概念和参数的不确定性。该项目将在以TerrSysMP-PDAF为基础的弱耦合和强耦合数据同化框架中制定更新地下水状况和参数的最佳战略。

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.