Inferring sediment-discharge event types in an Alpine catchment from sub-daily time series

Skålevåg, Amalie; Korup, Oliver; Bronstert, Axel

doi:https://doi.org/10.5194/hess-28-4771-2024

Articles | Volume 28, issue 20

https://doi.org/10.5194/hess-28-4771-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-28-4771-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 28, issue 20

Research article

|

29 Oct 2024

Research article |

| 29 Oct 2024

Inferring sediment-discharge event types in an Alpine catchment from sub-daily time series

Amalie Skålevåg, Oliver Korup, and Axel Bronstert

Data sets

Sediment-discharge event types in Vent-Rofental, Austria Amalie Skålevåg https://doi.org/10.23728/b2share.4806f852f25541b4a3206b0d8110907c

GeoSphere Austria Data Hub GeoSphere Austria https://data.hub.geosphere.at

Daily MODIS snow cover maps for the European Alps from 2002 onwards at 250 m horizontal resolution along with a nearly cloud-free version (v1.0.2) M. Matiu et al. https://doi.org/10.5281/zenodo.3601891

Model code and software

Inferring sediment-discharge event types with clustering Amalie Skålevåg https://github.com/skalevag/hysevt/releases/tag/v0.1

Short summary

We present a cluster-based approach for inferring sediment discharge event types from suspended sediment concentration and streamflow. Applying it to a glacierised catchment, we find event magnitude and shape complexity to be the key characteristics separating event types, while hysteresis is less important. The four event types are attributed to compound rainfall–melt extremes, high snowmelt and glacier melt, freeze–thaw-modulated snow-melt and precipitation, and late-season glacier melt.