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| Created: | May 18, 2026 at 8:50 p.m. (UTC) | |
| Last updated: | May 18, 2026 at 9:04 p.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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Abstract
Forecasters often need to assess and communicate the risk of heavy rainfall to support real time decisions in flood forecasting and emergency response. A clear understanding of precipitation frequency analysis is important for turning rainfall data into useful information. This includes the development and use of precipitation frequency estimates and Intensity Duration Frequency curves (IDF). In operational settings, precipitation information is shared through Quantitative Precipitation Forecasts supported by products that show rainfall percentiles or Annual Exceedance Probability. These tools help explain how extreme a rainfall event is. This HydroLearn module provides the fundamentals needed to understand how IDF curves are generated and how they are used in operational hydrology.
Access it here: https://edx.hydrolearn.org/courses/course-v1:CIROH_HydroLearn+OP_020+2025/about
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Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Oceanic and Atmospheric Administration | Cooperative Institute Program to the Cooperative Institute for Research on Hydrology (CIROH) | 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 |
|---|---|---|---|---|
| Mohamed Abdelkader | University of Iowa | IA, US | ||
| Yinphan Tsang | University of Hawaii at Manoa | US |
How to Cite
This resource is shared under the Creative Commons Attribution-NoCommercial CC BY-NC.
http://creativecommons.org/licenses/by-nc/4.0/
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