Bruno et al. (2026) Short to Long Streamflow Droughts: A Process-Oriented Review

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

Identification

• Journal: Repository for Publications and Research Data (ETH Zurich)
• Year: 2026
• Date: 2026-01-01
• Authors: Giulia Bruno, Francesco Avanzi, Simone Gabellani, Luca Ferraris, Manuela Brunner
• DOI: 10.3929/ethz-c-000796508

Research Groups

Not specified in the provided text.

Short Summary

This paper extensively reviews recent findings on the generation and simulation of streamflow droughts, focusing on the interplay of hydro-climatic processes and varying temporal scales to identify key challenges and future research directions.

Objective

• To extensively review recent findings on the generation and simulation of streamflow droughts, considering the main hydro-climatic processes involved (atmospheric, land-surface, sub-surface, and anthropogenic) and the time scales over which these events occur.

Study Configuration

• Spatial Scale: Not explicitly defined as this is a literature review, but the paper suggests moving toward "large-scale analyses" for future research.
• Temporal Scale: Streamflow droughts spanning from short (a few weeks) to long (multiple years).

Methodology and Data

• Models used: Not applicable; this is a literature review synthesizing findings from various studies, not using specific models itself.
• Data sources: Literature review of existing scientific publications on streamflow droughts.

Main Results

• Synthesized recent findings on the generation and simulation of streamflow droughts, categorizing them by hydro-climatic processes and temporal scales.
• Summarized the main findings from the literature review and their implications for drought monitoring, management, and adaptation.

Contributions

• Provides a comprehensive synthesis of the growing body of literature on the processes governing streamflow droughts of various durations and their simulation, addressing a current lack of such reviews.
• Identifies three main pathways for future research: (i) large-scale analyses at multiple temporal scales, (ii) considering event-specific, compound drivers of streamflow droughts, and (iii) their improved simulation, aiming to enhance forecasting and prediction under changing conditions.

Funding

Not specified in the provided text.

Citation

@article{Bruno2026Short,
  author = {Bruno, Giulia and Avanzi, Francesco and Gabellani, Simone and Ferraris, Luca and Brunner, Manuela},
  title = {Short to Long Streamflow Droughts: A Process-Oriented Review},
  journal = {Repository for Publications and Research Data (ETH Zurich)},
  year = {2026},
  doi = {10.3929/ethz-c-000796508},
  url = {https://doi.org/10.3929/ethz-c-000796508}
}