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| Type: | Resource | |
| Storage: | The size of this resource is 2.6 MB | |
| Created: | Nov 13, 2026 at 9:48 p.m. (UTC) | |
| Last updated: | Nov 14, 2026 at 12:21 a.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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Abstract
This HydroLearn module introduces learners to diagnostic error metrics used in streamflow model performance evaluation. It begins by covering the fundamentals of streamflow modeling evaluation and introducing commonly used diagnostic error metrics. It then explains how to interpret metric results, considering metric strengths and limitations, aggregation, binning, transformations, and uncertainty, as well as the use of visualizations and evaluation software. The module concludes with a real-world learning activity. In the activity, learners will take the role of a water resources analyst at a regional river forecast center tasked with evaluating streamflow simulation and forecast performance for different flood events.
Access the module here: https://edx.hydrolearn.org/courses/course-v1:CIROH_HydroLearn+CEE720+2026/about
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Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| Cooperative Institute for Research to Operations in Hydrology | NOAA Cooperative Agreement with The University of Alabama | NA22NWS4320003 |
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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