Articles | Volume 18, issue 6
https://doi.org/10.5194/essd-18-4113-2026
https://doi.org/10.5194/essd-18-4113-2026
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

Viewed

Total article views: 1,253 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
590 601 62 1,253 52 62
  • HTML: 590
  • PDF: 601
  • XML: 62
  • Total: 1,253
  • BibTeX: 52
  • EndNote: 62
Views and downloads (calculated since 06 Oct 2025)
Cumulative views and downloads (calculated since 06 Oct 2025)

Viewed (geographical distribution)

Total article views: 1,253 (including HTML, PDF, and XML) Thereof 1,241 with geography defined and 12 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Jun 2026
Download
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.
Share
Altmetrics
Final-revised paper
Preprint