Articles | Volume 30, issue 5
https://doi.org/10.5194/hess-30-1359-2026
https://doi.org/10.5194/hess-30-1359-2026
Technical note
 | 
16 Mar 2026
Technical note |  | 16 Mar 2026

Technical note: Analysis of concentration-discharge hysteresis loops using Self-Organizing Maps

Arlex Marin-Ramirez, David Tyler Mahoney, and Grace McDaniel

Model code and software

HySOM: A Python library for Self-Organizing Map-based analysis of concentration–discharge hysteresis (v0.4.0) Arlex Marin-Ramirez https://doi.org/10.5281/zenodo.18553832

Download
Short summary
This technical note evaluates the efficacy of the Self-Organizing Map (SOM) algorithm to represent concentration-discharge hysteresis patterns in watersheds. Through a proof-of-concept with sediment hysteresis, we show that the SOM algorithm accurately characterizes loop shape and can also be used to reveal the controls of hysteresis patterns in watersheds. We developed a Python package along with this technical note to support broader adoption of the SOM algorithm for hysteresis workflows.
Share