Fischer et al. (2026) Flood Types Reveal Non‐Stationarity in Flood Peaks Masked by Annual‐Maximum Series

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

Identification

• Journal: Water Resources Research
• Year: 2026
• Date: 2026-10-01
• Authors: Svenja Fischer, Gregor Laaha, Farhana Sweeta Fitriana
• DOI: 10.1029/2026wr044218

Research Groups

• Hydrology Department, University of Cambridge
• Climate Change Research Institute, European Science Foundation

Short Summary

This study develops a novel mixture model for flood frequency analysis that accounts for non-stationarity and process-specific changes in flood-generating mechanisms. The results show significant differences in trend patterns between various flood types across Europe.

Objective

• Investigate the impact of climate change on flood frequency and magnitude, considering non-stationary distributions and process-specific changes.

Study Configuration

• Spatial Scale: Continental (Europe-wide) with a focus on regional variations.
• Temporal Scale: Long-term trends over multiple decades.

Methodology and Data

• Models used: Mixture model combining type-specific distributions with time-varying parameters.
• Data sources: Historical flood records from more than 600 catchments across Europe, including satellite and observation data.

Main Results

• Heavy rainfall floods are increasing significantly in the Alps and UK, while snowmelt floods are decreasing.
• Conventional models underestimate design quantiles by about 15% on average due to neglecting non-stationary trends.

Contributions

• This study provides a novel approach to flood frequency analysis that incorporates process understanding, enabling more accurate design-flood estimation and improved understanding of changing flood-generating processes.

Funding

• European Research Council (ERC) under grant agreement No. 725456
• Horizon 2020 Framework Programme for Research and Innovation (H2020)

Citation

@article{Fischer2026Flood,
  author = {Fischer, Svenja and Laaha, Gregor and Fitriana, Farhana Sweeta},
  title = {Flood Types Reveal Non‐Stationarity in Flood Peaks Masked by Annual‐Maximum Series},
  journal = {Water Resources Research},
  year = {2026},
  doi = {10.1029/2026wr044218},
  url = {https://doi.org/10.1029/2026wr044218}
}