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.

Launch on CyberGIS-Jupyter for Water

(for viewing purpose only)

Launch on CyberGIS-Jupyter for Water


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