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| Created: | Apr 27, 2026 at 2:44 p.m. (UTC) | |
| Last updated: | Apr 27, 2026 at 4:07 p.m. (UTC) | |
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| Sharing Status: | Public |
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Abstract
This resource contains a collection of Jupyter Notebooks developed at CUAHSI that contains practical workflows for hydrology research and education. Notebooks span two main categories: data access examples and science use case examples. Data access notebooks demonstrate how to retrieve and process data from sources including AORC, SWOT, MODIS, the National Water Model (NWM), USGS NWIS, and Google BigQuery. Science example notebooks apply these datasets to real research tasks, such as comparing precipitation products (AORC vs. PRISM and CONUS404), detecting atmospheric rivers from CESM2 LENS data, and preparing and running NextGen (NGEN) hydrologic model simulations. Supporting utilities and sample datasets are included alongside each notebook. All examples are designed to be executable in cloud or local environments and follow reproducible science practices, combining code, data, and narrative in a single document.
Subject Keywords
Coverage
Spatial
Collection Contents
| Add | Title | Type | Owners | Sharing Status | Remove |
|---|---|---|---|---|---|
| Notebook - Collecting and Manipulating AORC Meteorological Data | Resource | Abner Bogan | Public & Shareable |
Related Resources
| Title | Owners | Sharing Status | My Permission |
|---|---|---|---|
| CUAHSI Water Learning Hub | Abner Bogan | Public & Shareable | Open Access |
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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