Rainfall return period from NOAA ATLAS 14
Authors: | |
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Owners: | Mohamed Abdelkader |
Type: | Resource |
Storage: | The size of this resource is 710.2 KB |
Created: | Feb 17, 2025 at 1:52 a.m. |
Last updated: | Feb 17, 2025 at 2:29 p.m. |
Citation: | See how to cite this resource |
Content types: | CSV Content |
Sharing Status: | Discoverable (Accessible via direct link sharing) |
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Views: | 129 |
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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.
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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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