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Hydrology Research Special Issue on

Detection, Attribution and Frequency Analysis of Nonstationary Hydrological Extremes

(Running title: Hydrological Extremes Special Issue)




Hydrological extremes, i.e. droughts and floods, are globally important natural hazards with associated costly impacts on society and the environment. Floods and droughts result from the superposition of different processes at various space and time scales: physical processes in the atmosphere, catchments, the river systems and anthropogenic activities. However, the characteristics of hydrological extremes have been altered due to climate change and variability, such that approaches for their detection, attribution and frequency of occurrence need to be revisited as they are no longer stationary processes. For more accurate estimation of hydrological extremes under nonstationary and uncertain conditions, there is a need for holistic assessments. Time-frequency analysis, hydrological modeling, physical-cause analysis, multivariate statistical analysis and uncertainty analysis are powerful tools for detecting, attributing and making frequency analysis of nonstationary hydrological extremes in a changing climate. Both non-stationarity and uncertainty of frequency analysis of extreme hydrological events should be integrated to reveal the possible operational alternatives to the assumption of stationarity in hydrological extremes frequency analysis.

This SI aims to promote innovative research advances in the detection, attribution and frequency analysis of nonstationary hydrological extremes through novel techniques. We welcome contributions of both original research studies and review articles in areas of time-frequency analysis, hydrological modeling, physical-cause analysis, multivariate statistical analysis, uncertainty analysis and related areas. Potential areas include but are not limited to the following:

  • Climate change ensemble modelling
  • Hydrological extreme events modelling
  • Hydrological design under nonstationarity
  • Spatial extremes under nonstationarity
  • Intelligent detection of hydrological nonstationarity
  • Nonstationary time-frequency analysis
  • Physical-cause analysis of hydrological nonstationarity
  • Multivariate hydrological frequency analysis
  • Bayesian uncertainty analysis
  • Integrated stationary and nonstationary frequency analysis



Key dates:

  • Deadline for manuscript submission: 30th October 2021
  • Expected publication: Early 2022



  • Nils Roar Sælthun (University of Oslo, Norway)
  • Cosmo Ngongondo (University of Malawi, Malawi)
  • Yanlai Zhou (University of Oslo, Norway)


Information for submission:

Please make sure that your paper follows the Instructions to Authors, before submitting your paper directly to Hydrology Research’s peer review system: choosing the category: Hydrological Extremes Special Issue.

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