A Python Environment for Automated Integration of Hydrologic Data into Watershed Models

This presentation will discuss an open-source, cross-platform Python package that gathers and processes hydrologic data from the internet and uses it to automate the construction of Hydrological Simulation Program in Fortran (HSPF) models. This approach improves efficiency of model construction and provides a mechanism to generate reproducible models.

 Speaker: David Lampert, Oklahoma State University
 Speaker: Mitchell Sawtelle, Oklahoma State University