Kafle et al. (2026) A simple method for enhancing the spatial independence of regional partial duration series in extreme, short-duration rainfall frequency analyses

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

Identification

• Journal: Stochastic Environmental Research and Risk Assessment
• Year: 2026
• Date: 2026-09-27
• Authors: Nischal Kafle, Claudio Ivan Meier
• DOI: 10.1007/s00477-026-03378-w

Research Groups

• Institute for Hydrology, University of Freiburg
• Department of Meteorology and Climate Science, Karlsruhe Institute of Technology

Short Summary

This study proposes a dual-criterion filtering algorithm to ensure spatial independence in regional frequency analyses (RFA) using partial duration series (PDSs), leading to more accurate rainfall depth-duration-frequency (DDF) estimates.

Objective

• Investigate the impact of spatial dependence on DDF values across different average recurrence intervals (ARIs)

Study Configuration

• Spatial Scale: Regional scale, covering 137 German stations
• Temporal Scale: Long-term analysis, with data spanning multiple years

Methodology and Data

• Models used: Simplified rainstorm motion model for filtering algorithm development
• Data sources: Rain gauge observations, radar-derived spatiotemporal footprints of storms

Main Results

• The conventional station-year method systematically overestimates DDF values at low ARIs and underestimates them at high ARIs due to spatially dependent exceedances.
• The proposed filtering algorithm increases the accuracy of DDF estimates by enhancing the independence of exceedances used for frequency analysis.

Contributions

• Development of a dual-criterion filtering algorithm to ensure spatial independence in RFA using PDSs.
• Mathematical framework to characterize the impact of spatial dependence on DDF values across different ARIs.

Funding

• German Federal Ministry of Education and Research (BMBF) project "Regional Frequency Analysis" (FKZ: 01LP1901A)
• Karlsruhe Institute of Technology's internal funding for research projects.

Citation

@article{Kafle2026simple,
  author = {Kafle, Nischal and Meier, Claudio Ivan},
  title = {A simple method for enhancing the spatial independence of regional partial duration series in extreme, short-duration rainfall frequency analyses},
  journal = {Stochastic Environmental Research and Risk Assessment},
  year = {2026},
  doi = {10.1007/s00477-026-03378-w},
  url = {https://doi.org/10.1007/s00477-026-03378-w}
}