Skip to main content
Join the official 2020 Python Developers SurveyStart the survey!

Spatial Processes in HYdrology (SPHY) model

Project description

The Spatial Processes in Hydrology (SPHY) model is a hydrological modeling tool suitable for a wide range of water resource management applications. SPHY is a state-of-the-art, easy to use, robust tool, that can be applied for operational as well as strategic decision support. The SPHY model has been applied and tested in various studies ranging from real-time soil moisture predictions in flat lands, to operational reservoir inflow forecasting applications in mountainous catchments, irrigation scenarios in the Nile Basin, and detailed climate change impact studies in the snow- and glacier-melt dominated the Himalayan region.


Reference documentation can be found here.


The SPHY model can be installed via conda:

conda install -c WilcoTerink SPHY

or using pip:

pip install SPHY

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for SPHY, version 2.2.1
Filename, size File type Python version Upload date Hashes
Filename, size SPHY-2.2.1.tar.gz (190.2 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page