Abstract
[Excerpt from the first page]
Environmental research is rapidly evolving toward an integration of different disciplines, and this is also reflected in hydrology and the hydrological modelling community. Models can be integrated by combining different physical processes within the same compartment or cycle (e.g., surface, subsurface, groundwater flow, geochemistry and geomorphology) [1] and/or different compartments of the terrestrial system (e.g., atmosphere and biosphere) [2,3]. The integration of models entails also several technical and technological aspects related to (i) coupling techniques, (ii) data integration (e.g., data assimilation and machine learning approaches) and (iii) computation offloading. [...]