Run ensemble Summa model on HPC

This notebook demonstrates how to harmonize different libraries and tools provided in the CyberGIS-Jupyter environment to run a 75-member ensemble SUMMA model with a High Performance Computer (HPC) resource. The SUMMA model instance and data used in this notebook were adapted from a part of the Clark et al., (2015) study, and explored the impact of different stomatal resistance parameterizations on total evapotranspiration (ET) in the Reynolds Mountain East catchment in southwestern Idaho.

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