Hydrological models are efficient and economical tools for conducting scientific studies. They are not only useful in validating scientific theories and guiding the deployment of observation networks, but they also play an indispensable role in facilitating decision-making within socioeconomic spheres such disaster prevention and mitigation. Distributed hydrological modelling via numerical methods entail the application of hydrological equations to express the spatial heterogeneity of hydrological parameters at a fine-scale. This fine-scale analysis allows for a detailed characterization of hydrological processes, which is a critical step within the context of developing robust hydrological models. The SHUD model adopts the finite volume method to resolve integrated surface-subsurface hydrological processes. The model uses an irregular triangular network, which can rapidly realize an ultra-high-resolution numerical simulation (i.e., from meters to kilometers). The AutoSHUD automated hydrological simulation system, which consists of the SHUD model, rSHUD tool, and global essential terrestrial data, can facilitate pre- and post-processing of the model and has been applied to several research projects; hence, the validity and applicability of the model have been verified. At present, the exploration, development, and application of distributed hydrological models by numerical methods are limited in our hydrological community, and there is an urgent need for more original research in this field. The global development of new models as well as the validation, promotion, and improvement of existing models is a worthwhile goal.