FutureWater developed a detailed manual, a repository with all plugins and datasets as well as several tutorial case studies to help users better understand the SPHY model and its application. The SPHY modeling package is available in the public domain and only uses open source software. Its installation is supported for Microsoft Windows 7 and higher. Below you can find:

SPHY Model: Download the latests version of SPHY  from the Github Repository. The modeling package is programmed in Python and uses Numpy libraries as well as libraries from the PCRaster environmental modeling language.

Plugins: The SPHY plugin provides a user-friendly Graphical User Interface (GUI) in QGIS to make the SPHY model accessible to a broader audience. The GUI simplifies model operation by allowing users to select input and output, run simulations, and analyze results with just a few clicks. Additionally, the plugin includes a preprocessor tool that automates the generation of SPHY model input data in the required PCRaster format, reducing the need for advanced technical knowledge and manual data preparation.

Manuals: In-depth manuals to guide users through the process of downloading, setting up, and running SPHY as well as analysing its outputs (confirm). Also available for the QGIS Plugin and case studies.

Case Studies: In total, three case studies have been published. The first case study focuses on the Pungwe river basin in Mozambique. The second one contains the Himalayan snow- and glacier fed Trisuli river basin in Nepal, while the third case study looks into the transboundary Red River sub-basin (Tuyen Quang sub-basin) in Vietnam and China. Please note that each of these case studies may require different versions of the SPHY model source code and may or may not use the SPHY model GUIs. The compatibility and required software and data for each case study are specified in the manual.

Datasets: The datasets for the SPHY QGIS Plugin are available for two regions, Hindu-Kush, Himalaya and Southeast Africa.