This conclusion presents some closing thoughts on the concepts covered in the preceding chapters of this book. The book describes the motivation, objectives and general scope of this work, highlighting the main objective: Develop and improve methods for optimal design of dynamic rainfall sensor networks with varying physical topology, in heterogeneous data environments for operational hydrological systems. It provides a literature review on the design of sensor networks, methods for design of static precipitation sensor networks. The book presents the three case studies: Bacchiglione, Brue and, Don River catchment. It explores the enhancement and testing of tools for the modelling of precipitation fields. These tools include an alternative formulation and algorithmic implementation of Kriging, which is able to use heterogeneous observations in non-stationary conditions, and a framework for the evaluation of measurement uncertainty estimation from partially observed data. The book also explores several aspects of designing static sensor networks.