Articles | Volume 29, issue 13
https://doi.org/10.5194/hess-29-2851-2025
https://doi.org/10.5194/hess-29-2851-2025
Technical note
 | 
08 Jul 2025
Technical note |  | 08 Jul 2025

Technical note: Streamflow seasonality using directional statistics

Wouter R. Berghuijs, Kate Hale, and Harsh Beria

Data sets

CH-DAV FP2022.5 (1997-2022) Hörtnagl et al. https://doi.org/10.3929/ETHZ-B-000597213

Climatological snow data since 1998 R. Mott https://doi.org/10.16904/envidat.401

Model code and software

Streamflow seasonality using directional statistics workflow figures W. Berghuijs https://doi.org/10.5281/zenodo.15264750

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Short summary
We present directional statistics to characterize seasonality, capturing the timing of streamflow (center of mass timing) and the strength of its seasonal cycle (concentration). Directional statistics are more robust than several widely used metrics to quantify streamflow seasonality. The introduced metrics can improve our understanding of streamflow seasonality and associated changes and can also be used to study the seasonality of other environmental fluxes within and beyond hydrology.
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