HydroShare is a system operated by The Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) that enables users to share and publish data and models in a variety of flexible formats, and to make this information available in a citable, shareable and discoverable manner.
Posted by Zhiyu Li on Friday September 3, 2021
This notebook is an example of a interactive map visualization which is the high level visualization using PyViz tools as post-processing of environmental modeling For this example, we used following ...
Posted by Zhiyu Li on Friday September 3, 2021
This notebook is an example of a watershed delineation which is the basic step to analyze a inteteresting watershed We used GRASS GIS 78 version and shell script to apply GRASS GIS ...
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 Wednesday September 1, 2021
Most of this notebook is going over advanced options and technical details behind our new design on CJW There are however a few key things all users should know: 1 What do the different kernel ...
Posted by Zhiyu Li on Monday August 30, 2021
This Jupyter notebook illustrates the HAND workflow and its use in example flood emergency scenarios The study area is Onion Creek (HUC10 code 1209020504) This is also a demonstration of conducting ...
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 ...