HYD-RESPONSES: daily hydro-meteorological catchment-level time series to analyse HYDrological drought dynamics in RESPONSE to (cumulative)  water deficits in Swiss catchments

von Matt, Christoph Nathanael; Stocker, Benjamin David; Martius, Olivia

doi:10.5194/essd-18-4113-2026

Articles | Volume 18, issue 6

https://doi.org/10.5194/essd-18-4113-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-18-4113-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 6

Data description article

|

17 Jun 2026

Data description article |

| 17 Jun 2026

HYD-RESPONSES: daily hydro-meteorological catchment-level time series to analyse HYDrological drought dynamics in RESPONSE to (cumulative) water deficits in Swiss catchments

Christoph Nathanael von Matt, Benjamin David Stocker, and Olivia Martius

Data sets

HYD-RESPONSES Christoph von Matt et al. https://doi.org/10.5281/zenodo.14713274

Interactive computing environment

HYD-RESPONSES Code Examples Christoph von Matt https://github.com/codicolus/HYD-RESPONSES

Short summary

Low flow conditions (hydrological droughts) in Switzerland pose challenges to agriculture and energy production. Improved understanding of droughts supports warning applications and infrastructure planning. The HYD-responses data set provides data to study the the evolution of drought conditions. The data set combines weather data, snow cover data, soil moisture data, and numerous drought indicators. The data set supports process studies, statistical analyses, and the training of AI models.