Janzing et al. (2026) Spatiotemporal Dynamics of Streamflow Drought in the Larger Alpine Region

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Water Resources Research
• Year: 2026
• Date: 2026-02-27
• Authors: Joren Janzing, Niko Wanders, Marit vanTiel, Manuela I. Brunner
• DOI: 10.1029/2025wr040503

Research Groups

The abstract does not explicitly list the main research groups, labs, or departments involved in the study.

Short Summary

This study analyzes the spatiotemporal dynamics of streamflow droughts across the larger Alpine region using high-resolution hydrological simulations and a novel clustering algorithm, revealing that extensive droughts exhibit growth and recovery phases, regional variations, and are primarily driven by rainfall deficits often interacting with multiple hydrometeorological processes.

Objective

• To analyze the spatiotemporal dynamics of streamflow droughts over the larger Alpine region using spatially-explicit and high-resolution hydrological simulations.
• To apply a novel spatial and temporal clustering algorithm to track streamflow drought events in space and time.

Study Configuration

• Spatial Scale: The larger Alpine region; spatially-extensive streamflow droughts are defined as affecting 500 kilometers of river network.
• Temporal Scale: Spatiotemporal evolution of streamflow drought events, tracking their dynamics over time.

Methodology and Data

• Models used: Hydrological model PCR-GLOBWB2.0; Novel spatial and temporal clustering algorithm.
• Data sources: High-resolution simulations from the hydrological model PCR-GLOBWB2.0.

Main Results

• Spatially-extensive streamflow droughts (affecting 500 km of river network) typically experience phases of growth and recovery.
• Extensive drought events can consist of several spatially-distinct sub-events.
• Streamflow droughts exhibit different behaviors in various geographic regions.
• Drought extent is often limited by the Alpine mountain range.
• The mountain river network is less frequently part of spatially-extensive drought events compared to surrounding lowland rivers.
• The spatial evolution of streamflow drought is influenced by different hydrometeorological drivers.
• Rainfall deficits are the most dominant driver of spatially-extensive streamflow droughts in the study domain.
• Many drought events result from the interplay of multiple hydrometeorological processes.
• The dominant drivers of streamflow droughts change over time as the affected domain changes.

Contributions

• Provides a detailed analysis of the spatiotemporal dynamics of streamflow droughts over the larger Alpine region, addressing the spatial limitations of many previous studies.
• Introduces and applies a novel spatial and temporal clustering algorithm for tracking streamflow drought events.
• Offers a better understanding of how drought extent influences the effectiveness of drought impact mitigation strategies, with implications for future water management.

Funding

The abstract does not provide information regarding the funding sources for this research.

Citation

@article{Janzing2026Spatiotemporal,
  author = {Janzing, Joren and Wanders, Niko and vanTiel, Marit and Brunner, Manuela I.},
  title = {Spatiotemporal Dynamics of Streamflow Drought in the Larger Alpine Region},
  journal = {Water Resources Research},
  year = {2026},
  doi = {10.1029/2025wr040503},
  url = {https://doi.org/10.1029/2025wr040503}
}