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| Type: | Resource | |
| Storage: | The size of this resource is 1.2 MB | |
| Created: | Jan 02, 2026 at 7:23 p.m. (UTC) | |
| Last updated: | Jan 02, 2026 at 7:25 p.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 38 |
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Abstract
CIROH's R2OHC platform combines AWS/GCP cloud credits, 2i2c JupyterHub, and on-premises HPC to support 28 consortium institutions in advanced hydrological modeling. Key innovations include containerized workflows, Infrastructure as Code, and pre-configured environments—reducing setup from weeks to 30 minutes. Presented at AGU 2025 (Paper H41Q-1425).
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| Name | Value |
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| url | https://www.hydroshare.org/resource/192702c64857422288375d846f812b2a |
| pres_path | ciroh_r2ohc_harsha_2025_poster.pdf |
| thumbnail_url | https://ciroh-portal-static-data.s3.us-east-1.amazonaws.com/f46f981f-1d19-4fc3-86b7-2eb138a1af3e.png |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Oceanic and Atmospheric Administration (NOAA), University of Alabama | CIROH: Enabling collaboration through data and model sharing with CUAHSI HydroShare | NA22NWS4320003 to University of Alabama, subaward A23-0266-S001 to Utah State University |
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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