The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology

Elena Volpi, Salvatore Grimaldi, Amir Aghakouchak, Attilio Castellarin, Fateh Chebana, Simon Michael Papalexiou, Hafzullah Aksoy, András Bárdossy, Antonino Cancelliere, Yuanfang Chen, Roberto Deidda, Uwe Haberlandt, Ebru Eris, Svenja Fischer, Félix Francés, Dmitri Kavetski, Thomas Rodding Kjeldsen, Krzysztof Kochanek, Andreas Langousis, Luis Mediero OrduñaAlberto Montanari, Sofia D. Nerantzaki, Taha B.M.J. Ouarda, Ilaria Prosdocimi, Elisa Ragno, Chandra R. Rajulapati, Ana Isabel Requena, Elena Ridolfi, Mojtaba Sadegh, Andreas Schumann, Ashish Sharma

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Statistical tools are crucial for a variety of hydrological applications, whether to model processes and enhance understanding and knowledge or to design infrastructure systems. Given the rapid evolution of statistical methods and the need for a solid theoretical foundation for their correct application, a multidisciplinary community STAtistics in HYdrology Working Group (STAHY-WG) aggregated under the International Association of Hydrological Sciences (IAHS) umbrella to contribute to this research field. Now, more than 15 years since its inception, this paper summarizes the main achievements of this productive community collaboration in four (of many) branches of statistical hydrology: extreme value analysis, multivariate analysis, time series analysis, and regionalization. The aim is to provide an overview of recent developments, offer practical suggestions (e.g. software packages), and outline future challenges to support scientists and practitioners in their endeavours within the realm of statistical hydrology studies.

Original languageEnglish
Pages (from-to)1913-1949
Number of pages37
JournalHydrological Sciences Journal
Volume69
Issue number14
DOIs
StatePublished - 2024

Keywords

  • FARMA model
  • GEV
  • ICSH
  • STAHY
  • changing point analysis
  • copula function
  • extreme value analysis
  • metastatistical distributions
  • rainfall simulations
  • regionalization
  • time series analysis

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