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Type: | Resource | |
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Created: | Jul 30, 2025 at 11:02 a.m. (UTC) | |
Last updated: | Jul 30, 2025 at 11:08 a.m. (UTC) | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 92 |
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Abstract
This use case demonstrates how enhancements to the HydroShare platform enable efficient comparison of large-scale precipitation datasets, specifically NOAA’s AORC and USGS’s CONUS404. Using cloud-native tools and formats such as Zarr, we accessed, subsetted, analyzed, and visualized these datasets, ultimately publishing the results as reusable, FAIR-compliant resources on HydroShare. This workflow highlights how HydroShare supports scalable, collaborative, and reproducible data analysis in hydrologic research.
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Related Resources
Title | Owners | Sharing Status | My Permission |
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Interactive Science Use Cases Showcasing HydroShare’s Cloud-Native Features | Irene Garousi-Nejad · Anthony Castronova | Public & Shareable | Open Access |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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National Oceanic and Atmospheric Administration | NOAA Cooperative Agreement with The University of Alabama, awarded to the Cooperative Institute for Research to Operations in Hydrology (CIROH) | NA22NWS4320003 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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