CyberGIS-Compute is an open-sourced geospatial middleware framework that provides integrated access to high-performance computing (HPC) resources through a Python-based SDK and core middleware services. The key components of CyberGIS-Compute include CyberGIS-Compute SDK and CyberGIS-Compute Core. CyberGIS-Compute is released under Apache 2.0 license.
Posted by Zhiyu Li on Wednesday September 1, 2021
This notebook demonstrates how to use Globus within CyberGIS-Compute to retrieve a large number of outputs generated by a model executed on HPC, which is often needed for postprocessing work ...
Posted by Zhiyu Li on Monday August 30, 2021
The HydroShare project is pleased to bring you this notebook that can set up a run-time environment on the CyberGIS-Jupyter for Water (CJW) platform for WRF&WRF-Hydro Coupled Testcase Online Lesson ...
Posted by Zhiyu Li on Monday August 30, 2021
The HydroShare project is pleased to bring you this notebook that can set up a run-time environment on the CyberGIS-Jupyter for Water (CJW) platform for WRFHydro Hands-on Training v52x (Nov 2020) In ...
Posted by Zhiyu Li on Monday August 30, 2021
CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) is a large-sample hydrometeorological dataset that provides catchment attributes, forcings and GIS data for 671 small- to ...
Posted by Zhiyu Li on Monday August 30, 2021
The goal of this notebook is to show the steps to run an example National Water Model (WRFhydro) model on HPC resources through the CyberGIS-Compute Service This notebook uses wrfhydropy, a Python ...
Posted by Zhiyu Li on Monday August 30, 2021
This example is to show the steps to run an ensemble SUMMA30 on HPC through the CyberGIS-Compute ...
Posted by Zhiyu Li on Monday August 30, 2021
RHESSys (Regional Hydro-Ecological Simulation System) is a GIS-based, terrestrial ecohydrologic modeling framework designed to simulate carbon, water and nutrient fluxes at the watershed scale ...