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Use Case 4: Leveraging HydroShare to Process, Analyze, and Share Atmospheric River Event Metrics from CESM2 Large Ensemble
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| Created: | Jul 30, 2025 at 11:50 a.m. (UTC) | |
| Last updated: | Jul 30, 2025 at 12:03 p.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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Abstract
This use case explores the capabilities of the CESM2 Large Ensemble (LENS) in capturing the intensity and frequency of atmospheric river (AR) events. By applying AR classification methods (as outlined in Ralph et al., 2019), we categorize events by intensity and duration to assess historical variability and future risk scenarios relevant to emergency planning. To enable scalable analysis and FAIR data sharing, we convert large NetCDF datasets into Zarr format, hosted and published via HydroShare. This allows users to either reproduce the AR analysis using our shared notebooks and utilities or adapt the workflow to new ensemble members or future climate runs. HydroShare’s cloud-optimized ecosystem ensures that derived products remain accessible, reusable, and actionable across the hydrologic and climate science communities.
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| Title | Owners | Sharing Status | My Permission |
|---|---|---|---|
| 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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