Showing entries tagged [cloud]

Important: Changes to NOAA NEXRAD AWS Archive

Description

Since the launch of the archive in 2015, NSF Unidata has been working with the NOAA Open Data Dissemination program (NODD) to populate the archive as new NEXRAD Level II data become available. Beginning in August 2025, we will be changing the AWS S3 bucket that contains up-to-date NEXRAD Level II archive data, affecting how users access the data via AWS. These changes are being made at the request of the AWS Open Datasets team in order to simplify account management for the bucket.

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NSF Sponsored Workshop on
Next Generation Cloud Research Infrastructure

The National Science Foundation is sponsoring a workshop focusing on “Next Generation Cloud Research Infrastructure,” on November 11-12, 2019, in Princeton, NJ. The workshop will immediately precede the ACM HotNets 2019 workshop at the same location.

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NetCDF and Native Cloud Storage Access via Zarr

NetCDF has historically offered two different storage formats for the netCDF data model: files based on the original netCDF binary format, and files based on the HDF5 format. While this has proven effective in the past for traditional disk storage, it is less efficient for modern cloud-focused technologies such as those provided by Amazon S3, Microsoft Azure, IBM Cloud Object Storage, and other cloud service providers. To that end, the Unidata development team is happy to announce that we are expanding the storage solutions available through the netCDF software libraries.

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Models in the Cloud: A Cost Exploration of Cloud Computing for the Atmospheric Sciences

Cloud computing vs local computing

Lucas Sterzinger's capstone (undergraduate senior) research project at the University of North Dakota (UND) investigated how cloud computing services could be used to run weather models, specifically for small businesses.

In this article, Lucas summarizes his project, which looked at whether hosting servers in the cloud a reasonable alternative to buying physical hardware to be located on-site.

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Cloud-Based Visualization at Pennsylvania State University

Penn State

Researchers at Pennsylvania State University have used funds made available through Unidata's Community Equipment Awards program to prototype a system for using cloud-based resources to provide access to 3D-visualization software. Their project, titled “A Prototype Cloud-Based Visualization System for Unidata Applications,” focused on running Unidata's Integrated Data Viewer (IDV) on a remote (“cloud”) system and making it available on multiple remote clients.

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