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Created: | Feb 17, 2025 at 1:52 a.m. | |
Last updated: | Feb 17, 2025 at 2:29 p.m. | |
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Abstract
This resource demonstrates the steps for assessing post-storm rainfall severity for Hurricane Helene by comparing observed rainfall data to NOAA Atlas 14 datasets as part of the "Precipitation Frequency and Storm Analysis in Operational Hydrology" module. It includes a Python notebook that guides learners through examining observed rainfall, comparing it to historical data for various return periods, and evaluating the accuracy of HRRR forecasts. The activity focuses on rainfall from September 24–27, 2024. This resource was developed January 2025 as part of a CIROH HydroLearn Hackathon.
Subject Keywords
Content
Readme.txt
This resource is part of the HydroLearn module titled "Precipitation Frequency and Storm Analysis in Operational Hydrology," designed to guide users to evaluate rainfall return period based on ground observations and NOAA Atlas 14 dataset. To Use This Resource: 1. Click "Open With" at the top right to access the HydroShare resource on your selected computing platform. Choose from CIROH JupyterHub, CUAHSI JupyterHub, or CyberGIS-Jupyter for Water. 2. Once in JupyterHub, open the file 'Helene_analysis.ipynb'. 3. Follow the steps in the notebook.
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) | Funding for this project was provided by NOAA, awarded to the Cooperative Institute for Research to Operations in Hydrology (CIROH) through the NOAA Cooperative Agreement with the University of Alabama. | NA22NWS4320003 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
Name | Organization | Address | Phone | Author Identifiers |
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CUAHSI | Consortium of Universities for the Advancement of Hydrological Science | MA, US | ||
David Tarboton | Utah State University | UT, US | +1 (435) 797-3172 | ORCID |
Courtney Di Vittorio | Wake Forest University | north carolina, US |
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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