Janzing et al. (2026) Spatial streamflow drought in the larger Alpine region

Identification

• Journal: Open MIND
• Year: 2026
• Date: 2026-02-25
• Authors: Joren Janzing, Niko Wanders, Marit Van Tiel, Manuela I. Brunner
• DOI: 10.4211/hs.4190ad67b1824f92a2a146a20da10909

Research Groups

• WSL Institute for Snow and Avalanche Research SLF (Joren Janzing)

Short Summary

This dataset provides hyper-resolution hydrological model outputs for the larger Alpine region, enabling the study and reproduction of spatiotemporal dynamics of streamflow drought between 1990 and 2019.

Objective

• To investigate the spatiotemporal dynamics of streamflow drought in the larger Alpine region.

Study Configuration

• Spatial Scale: Larger Alpine region (modelled domain: 2.5°E to 18.5°E longitude, 42.5°N to 51.5°N latitude; analysis domain: 3°E to 18°E longitude, 43°N to 51°N latitude) at a resolution of 30 arcseconds (approximately 900 meters).
• Temporal Scale: 1990 to 2019.

Methodology and Data

• Models used: PCR-GLOBWB2.0 hydrological model.
• Data sources: Modelled outputs from PCR-GLOBWB2.0, including daily discharge, spatially-averaged drought intensities, channel lengths, 30-day anomalies of rainfall, snowfall, snowmelt, ice melt, and actual evapotranspiration, and maps of identified spatial drought events.

Main Results

The provided text describes a dataset accompanying a research paper, rather than the paper's main results directly. The dataset contains modelled data necessary to reproduce the figures and findings of the paper "Spatiotemporal dynamics of streamflow drought in the larger Alpine region" by Janzing et al. (2026). Key data products include: * Spatially-averaged intensities and channel lengths for spatial drought events lasting over 30 days. * Time-mean discharge and discharge deficit maps. * Maps of average local event size, local growing size, and local time fraction in event. * 30-day anomalies of rainfall and snowmelt during drought events.

Contributions

This dataset provides a comprehensive, hyper-resolution hydrological simulation of streamflow drought characteristics across the larger Alpine region, offering valuable data for understanding and reproducing the spatiotemporal dynamics of drought events. It supports research into how improved process representation in mountain regions benefits large-scale hydrological modeling.

Funding

• Swiss National Science Foundation, Project: "Predicting floods and droughts under global change", Award Number: PZ00P2_201818

Citation

@article{Janzing2026Spatial,
  author = {Janzing, Joren and Wanders, Niko and Tiel, Marit Van and Brunner, Manuela I.},
  title = {Spatial streamflow drought in the larger Alpine region},
  journal = {Open MIND},
  year = {2026},
  doi = {10.4211/hs.4190ad67b1824f92a2a146a20da10909},
  url = {https://doi.org/10.4211/hs.4190ad67b1824f92a2a146a20da10909}
}