Unidata Science Gateway

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Figure 1: Unidata Python Gallery GOES-16 true color notebook by Brian Blaylock available via the Unidata JupyterHub.

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Introduction

Welcome to the Unidata Science Gateway. Unidata is a diverse community of education and research institutions with the common goal of sharing geoscience data and the tools to access and visualize that data. For more than 30 years, Unidata has been providing data, software tools, and support to enhance Earth-system education and research. Funded primarily by the National Science Foundation (NSF), Unidata is one of the University Corporation for Atmospheric Research (UCAR)'s Community Programs (UCP).

The Unidata Science Gateway unites Unidata technologies with the NSF Jetstream cloud computing platform and open-source software such as Project Jupyter to provide the academic and research community an environment they can employ to access, analyze and visualize real-time and case study Earth system science data. The Unidata Science Gateway is a virtual space where communities can collaborate, share resources, and learn from each other in a classroom or workshop setting.

The Unidata Science Gateway employs a collection of data distribution and serving technologies to provide data to a variety of analysis and visualization applications both within and outside the gateway. The Unidata Science Gateway receives real-time data through the LDM/IDD peer-to-peer data transfer system. Once data have been ingested by the Science Gateway, THREDDS, RAMADDA, AWIPS EDEX, and ADDE data servers supply real-time and case study data to analysis and visualization applications through a variety of well-known and standard data access and subsetting mechanisms. In addition, the Unidata Science Gateway can contain Jupyter Notebook environments pre-configured with PyAOS (Python for the Atmospheric and Oceanic Sciences) libraries to provide data analysis and visualization notebook environments accessible from a web browser. Data available on the Science Gateway can also be accessed from traditional geoscientific desktop applications such as the IDV, AWIPS CAVE, and McIDAS.

The COVID-19 pandemic and the transition to remote work and learning has significantly increased use of the Unidata Science Gateway. The Unidata Science Gateway has supported workshops and semester-long classes at about a dozen universities and other institutions. It has been used to support two AMS Python workshops, IT training for UCAR SOARS Protégés as well as for individual internship projects, and an NSF REU program at the University of Oklahoma. To date, the Unidata Science Gateway has supported about 700 students (mostly undergraduate meteorology students).

JupyterHub

Unidata JupyterHub

JupyterHub is a technology that can serve programmatic, interactive notebooks to a class of students or for scientific researchers. The Unidata JupyterHub provides users access to the notebooks contained within the Unidata/python-training project and the computing environment required to run them. To gain access to this server, please send a message to support-gateway@unidata.ucar.edu. A free GitHub login is required for access. After logging in, please read the README_FIRST.ipynb notebook that is periodically updated with relevant information concerning this JupyterHub installation.

Also available are dedicated notebook servers for workshops or semester long classes. Please email us at support-gateway@unidata.ucar.edu for these types of requests.

THREDDS Data Server

TDS installation on Jetstream

The Unidata THREDDS Data server (TDS) is a web server that provides metadata and data access for scientific datasets, using a variety of remote data access protocols. A TDS is available on Jetstream at https://tds.scigw.unidata.ucar.edu/thredds/catalog.xml supplying a good portion of the data available on the IDD with a five day archive.

This TDS can be accessed from the IDV or from Python with the netCDF-Python or Siphon APIs or any THREDDS client (e.g., PyCSW).

THREDDS AWS Nexrad Server

THREDDS AWS Nexrad Installation on Jetstream

In collaboration with the NOAA and Amazon Web Services (AWS), Unidata has deployed a THREDDS AWS Nexrad Server on the Jetstream Cloud. More than twenty years of Nexrad Level II data are available from this server. The data reside on AWS, but are served out by a THREDDS Data server running on Jetstream.

AWIPS EDEX

EDEX installation on Jetstream: edex-cloud.unidata.ucar.edu

AWIPS is a meteorological display and analysis system used by the National Weather Service. EDEX is the server-side component of this system. Unidata maintains an EDEX data server on Jetstream to ingest and serve real-time AWIPS data for rendering by the CAVE client and the python-awips data access framework. For CAVE, simply enter edex-cloud.unidata.ucar.edu in the CAVE Connectivity Preferences dialog to connect.

RAMADDA Geoscience CMS

RAMADDA installation on Jetstream

RAMADDA is a geoscience content management system (CMS) originally developed at Unidata and now maintained by Geode Systems. The RAMADDA installation on Jetstream contains IDV bundles that retrieve data from Jetstream data servers.

LDM

LDM installation on Jetstream

The Unidata Local Data Manager (LDM) system is a peer-to-peer network for event-driven data distribution, and is the fundamental component of the Unidata Internet Data (IDD) system. Two internal LDM nodes supply data to our Jetstream resources.

ADDE

ADDE installation on Jetstream: adde://adde.scigw.unidata.ucar.edu:112

ADDE (Abstract Data Distribution Environment) is a data server developed by the University of Wisconsin, Space Science Engineering Center. It primarily serves satellite and radar imagery and point observations to the IDV, McIDAS-V, McIDAS-X. An ADDE server is available at adde.scigw.unidata.ucar.edu over (the usual) port 112.

IDV Resources

The Unidata Integrated Data Viewer (IDV) is a desktop application for viewing data in two and three dimensions. It excels at bringing together geoscience data from disparate sources into one integrated display.

Running the IDV on Jetstream

For those who have a Jetstream allocation (e.g., startup, education, research), an IDV image is available when selecting VMs through the Jetstream Atmosphere dashboard. If you do not have a Jetstream allocation, it is possible to obtain a Jetstream Trial Access account. When searching for images, search for "IDV". You will find the Unidata IDV <version> image. Launching that image will then allow you to "Open Web Desktop" where the IDV will be available pre-loaded with the Jetstream plugin. The catalogs available via the IDV Dashboard, Data Choosers will default to the TDS and RAMADDA servers running on Jetstream enabling data-proximate performance, especially for large datasets. You can also select image sizes that are appropriate to your goals. For example, if working with a data intensive bundle, you could choose an m1.medium VM with 6 vCPUS, 16 GB RAM.

IDV Jetstream Plugin

The IDV Jetstream plugin allows easy access to Jetstream installations of the TDS, RAMADDA and ADDE from the IDV. The plugin URL is https://science-gateway.unidata.ucar.edu/jetstream.jar. See here for how to install an IDV plugin from a URL.

Conference Presentations

Past Presentations

Forthcoming Presentations

TBA

{Source Code}

https://github.com/Unidata/science-gateway

System Status

Internal only Unidata system monitoring link

IDD Relay RTSTATS

IDD Archiver RTSTATS

Contact

If you wish to contact Unidata concerning this science gateway, please contact support-gateway@unidata.ucar.edu.

Acknowledging the Unidata Science Gateway

If you have benefited from the Unidata Science Gateway, please use this DOI for citations in your publications: doi:10.5065/688s-2w73.

Acknowledgments and Bibliography

Acknowledgments

National Science Foundation

Funding for this project was generously provided by the National Science Foundation (Grant NSF-1901712)

XSEDE ECSS

We thank Brian Beck, Maytal Dahan, Jeremy Fischer, Victor Hazlewood, Peg Lindenlaub, Suresh Marru, Lance Moxley, Marlon Pierce, Semir Sarajlic, Craig Alan Stewart, George Wm Turner, Nancy Wilkins-Diehr, Nicole Wolter and Andrea Zonca for their assistance with this effort, which was made possible through the XSEDE Extended Collaborative Support Service (ECSS) program.

Bibliography

References

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Keywords: OpenStack, JupyterHub, Kubernetes, Cloud Computing, Workforce Development, Unidata, Magnum
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Keywords: atmosphere, big data, cloud computing, long tail of science
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Keywords: OpenStack, JupyterHub, Kubernetes, Cloud Computing, Unidata, Magnum

Date: 2024-02-20 16:32:14 MST

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