Author(s): Daniel Caviedes-Voullieme; Mario Morales-Hernandez; Ilhan Ozgen-Xian; Zhi Li; Sergio Martinez-Aranda; Pablo Valles; Jose Segovia-Burillo; Na Zheng; Johansell Villalobos
Linked Author(s): Ilhan Özgen-Xian
Keywords: Hydrodynamic simulation; Hydrological simulation; High-performance computing
Abstract: Integrated modeling of the terrestrial water cycle, which has been a long standing community interest, remains challenging due to complex surface–subsurface interactions and the need for robust formulations, numerics, and high-performance computing. SERGHEI is a modular, open-source framework that couples shallow-water and Richards-equation solvers, as well as further transport models, to capture these interactions within a unified system. Using the Kokkos performance-portability library, it runs efficiently on diverse CPU and GPU architectures and scales from small setups to exascale machines. Combining mathematical rigor, modern numerics, and FAIR software practices, SERGHEI aims to provide a community platform for next-generation hydrological modeling.
Year: 2026