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| Type: | Resource | |
| Storage: | The size of this resource is 218.8 KB | |
| Created: | May 18, 2026 at 1:29 p.m. (UTC) | |
| Last updated: | Jun 05, 2026 at 5:59 p.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 287 |
| Downloads: | 220 |
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Abstract
This resource demonstrates a cloud-native workflow for accessing and analyzing Integrated Vapor Transport (IVT) data stored in HydroShare as a Zarr dataset. The notebook uses HydroShare’s S3-compatible access with xarray and Dask to stream data directly from cloud storage, avoiding the need to download the full dataset locally.
The example focuses on a 1970–2009 subset of CESM2 Large Ensemble historical simulation data near Bodega Bay, California, a region often affected by winter atmospheric rivers. The workflow subsets IVT data in space and time, identifies atmospheric river conditions using an IVT threshold of 250 kg m⁻¹ s⁻¹, assigns atmospheric river categories based on intensity and duration, and calculates an event-integrated IVT metric as a simple measure of event severity. The notebook also produces decadal summaries and maps of atmospheric river category and degree for the selected study area.
Subject Keywords
Coverage
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Temporal
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Content
README.md
Cloud-Native Analysis of Integrated Vapor Transport and Atmospheric Rivers
This HydroShare resource contains a Jupyter Notebook demonstrating a cloud-native workflow for accessing and analyzing Integrated Vapor Transport (IVT) data stored in HydroShare as a Zarr dataset. The notebook uses HydroShare's S3-compatible access with xarray and Dask to stream data directly from cloud storage without downloading the full dataset locally.
The example focuses on CESM2 Large Ensemble historical simulation data near Bodega Bay, California for 1970 through 2009. The workflow subsets IVT data in space and time, identifies atmospheric river conditions using an IVT threshold, assigns atmospheric river categories based on intensity and duration, and summarizes event severity using an event-integrated IVT metric.
The contents in this HydroShare resource are:
Access_IVT_and_Explore_AR.ipynb: a Python-based Jupyter Notebook for accessing HydroShare-hosted Zarr data and analyzing IVT and atmospheric river conditionszarr-store.png: Depiction of Zarr storageARUtils.py: Utility file for processing AR dataS3hsclient.py: Utility file for S3 connection with HydroShare
Related Resources
| Title | Owners | Sharing Status | My Permission |
|---|---|---|---|
| CUAHSI Research Notebooks Collection | Abner Bogan | Public & Shareable | Open Access |
| 2026 CIROH DevCon Workshop: Essential Geospatial Data and Coding Skills for CIROH Researchers | Abner Bogan · Danielle Tijerina-Kreuzer · Irene Garousi-Nejad | Public & Shareable | Open Access |
| Collection of Materials for the CUAHSI's Workshops at the National Water Center Bootcamp 2026 | Irene Garousi-Nejad · Anthony Castronova · Abner Bogan · Danielle Tijerina-Kreuzer | Private & Shareable | None |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Oceanic and Atmospheric Administration | CIROH: Intelligent Workflows | A250364S004 |
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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