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|Created:||May 11, 2020 at 4:02 p.m.|
|Last updated:|| May 14, 2020 at 4:12 p.m.
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CyberGIS-Jupyter for Water Quarterly Release Announcement (2020 Q2)
Dear HydroShare Users,
We are pleased to announce a new quarterly release of CyberGIS-Jupyter for Water (CJW) platform at https://go.illinois.edu/cybergis-jupyter-water. This release includes new capabilities to support the geoanalytics suite of GRASS for model pre/post-processing, PostGIS database, and Landlab Earth surface modelling toolkit along with several enhancements to job submission middleware, system security as well as service infrastructure. Please refer to the following list for details and examples.
Please let us know if you have any questions or run into any problems (firstname.lastname@example.org). Any feedback would be greatly appreciated.
GRASS GIS for model pre/post-processing:
Learn how to consolidate the features of the GRASS geoanalytics suite to support pre/post-processing for SUMMA and RHESSYs models in CJW.
Example notebooks: https://www.hydroshare.org/resource/4cbcfdd6e7f943e2969dd52e780bc52d/
Manage geospatial data with PostGIS:
PostGIS is an extension to the PostgreSQL object-relational database system which allows geospatial data to be efficiently stored while providing various advanced functions for in-situ data analysis and processing.
Example notebooks: https://www.hydroshare.org/resource/bb779d4cce564dd6afcf463c8910786f/
Security and service infrastructure enhancements
Trusted group: Starting from this release, all users are required to join the “CyberGIS-Jupyter for Water” trusted group at https://www.hydroshare.org/group/157 in order to access the CJW platform, which is a preventive measure to protect the shared computing resources from being abused by malicious users. A complete user profile page is highly recommended to expedite the approval process.
User metric submission to XSEDE: CJW, as a science gateway, is now sending unique user usage metrics to XSEDE to comply with its requirements.
Landlab for enabling collaborative numerical modeling in Earth sciences using knowledge infrastructure
Example notebooks: https://www.hydroshare.org/resource/370c288b61b84794b847ef85c4dd4ffb/
Job submission enhancements
Refactored the structure of the cyberGIS job submission system
Data-driven implementation for avoiding excessive data transmission between HydroShare and CJW
Add the specification of input parameters into a JSON file to improve the flexibility and generality of model management
Enable HPC-SUMMA object that can directly call SUMMA
Example notebooks: https://www.hydroshare.org/resource/4a4a22a69f92497ead81cc48700ba8f8/
Resource Level Coverage
|Add||Title||Type||Owners||Sharing Status||My Permission||Remove|
|PostGIS integration in CyberGIS-Jupyter for Water (CJW) platform||CompositeResource||Zhiyu/Drew Li||Public & Shareable||Open Access|
|[CJW] Enabling Collaborative Numerical Modeling in Earth Sciences using Knowledge Infrastructure: Landlab Notebooks||CompositeResource||Christina Bandaragoda||Public & Shareable||Open Access|
|Run Ensemble SUMMA model on XSEDE resources through CyberGIS-Jupyter for Water (CJW) platform||CompositeResource||Zhiyu/Drew Li||Private & Shareable||None|
|Example of Watershed Delineation with GRASS GIS in CyberGIS-Jupyter for Water (CJW)||CompositeResource||Zhiyu/Drew Li||Public & Shareable||Open Access|
|Example of Map Visualization with GIS tool stack in CyberGIS-Jupyter for Water (CJW)||CompositeResource||Zhiyu/Drew Li||Public & Shareable||Open Access|
|Title||Owners||Sharing Status||My Permission|
|CyberGIS-Jupyter for Water (CJW) Announcements||Zhiyu/Drew Li · Anand Padmanabhan · Shaowen Wang · Furqan Baig · Alexander Michels||Public & Shareable||Open Access|
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/