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Hydrometeorological Analysis of Flash Floods with the ATRACKCS Object-Based Storm Tracking Algorithm
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| Type: | Resource | |
| Storage: | The size of this resource is 90.8 MB | |
| Created: | Jun 17, 2026 at 4:24 p.m. (UTC) | |
| Last updated: | Jul 29, 2026 at 4:28 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Discoverable (Accessible via direct link sharing) |
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| Views: | 291 |
| Downloads: | 365 |
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Abstract
This HydroShare resource accompanies the HydroLearn module Understanding Flash Floods Through Storm Tracking. It provides everything an instructor or self-paced learner needs to investigate the meteorological and hydrologic sides of a real flash flood and to communicate the findings as a post-event report.
The resource is built around the June 20-22, 2024 northwest Iowa flash flood, a textbook example of an MCS-driven event that produced new peaks of record at ten USGS streamgages and an estimated 310 million dollars in damages. It contains:
- Interactive Jupyter notebooks for the two learning activities of the module:
- Activity 1: Storm investigation with ATRACKCS (mesoscale convective system identification and tracking from satellite cloud-top temperature and IMERG precipitation).
- Activity 2: Hydrograph analysis (USGS streamgage selection, 15 minute discharge retrieval, event extraction, flash flood metrics, rainfall-runoff lag, peak propagation across the river network).
- The ATRACKCS object-based storm tracking algorithm with installation scripts for both the CUAHSI JupyterHub server and local environments.
After working through the materials, learners will be able to identify and characterize an MCS from satellite observations, detect and quantify flash flood signals from streamgage data and link storm evolution to watershed response.
Subject Keywords
Coverage
Spatial
Content
Related Resources
| The content of this resource is derived from | Robledo Delgado, V., Mehta, N., Mejia, J., & Vergara, H. (2025). Algorithm for TRACKing Convective Systems (ATRACKCS) (V.2.0.0). Zenodo. https://doi.org/10.5281/zenodo.17388137, https://github.com/ATRACKCS/ATRACKCS |
| This resource is required by | Robledo, Vanessa., Kaba, Delicious R., (2026). Understanding Flash Floods Through Storm Tracking. Hydrolearn. CIROH. https://edx.hydrolearn.org/courses/course-v1:HydroLearn_CIROH+UIAHWA+2026_2/about |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Oceanic and Atmospheric Administration | Funding for this project was provided by the National Oceanic and Atmospheric Administration (NOAA), awarded to the Cooperative Institute for Research to Operations in Hydrology (CIROH) through the NOAA Cooperative Agreement with The University of AL | NA22NWS4320003 |
| NASA Earth Science | F.5 Future Investigators in NASA Earth and Space Science and Technology (FINESST) | 80NSSC25K0649 |
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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| Humberto Vergara | University of Iowa | IA, 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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