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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 Bàrdossy, Antonino Cancelliere, Yuanfang Chen, Roberto Deidda, Uwe Haberlandt, Ebru Eriş, Svenja Fischer, Félix Francés, Dmitri Kavetski, Thomas Kjeldsen, Krzysztof Kochanek, Andreas Langousis, Luis Mediero, Alberto Montanari, Sofia D. Nerantzaki, Taha B. M. J. Ouarda, Ilaria Prosdocimi, Elisa Ragno, Chandra Rupa Rajulapati, Ana I. Requena, Elena Ridolfi, Mojtaba Sadegh, Andreas Schumann, Ashish Sharma

2024Hydrological Sciences Journal21 citationsDOIOpen Access PDF

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 (STAHY-WG) aggregated under the IAHS umbrella to contribute to this research field. Now, after more than fifteen 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 endeavors within the realm of statistical hydrology studies.

Topics & Concepts

Multidisciplinary approachVariety (cybernetics)RealmField (mathematics)Management scienceData scienceStatistical analysisComputer scienceOperations researchHydrology (agriculture)EngineeringGeographySociologySocial scienceMathematicsArtificial intelligenceStatisticsArchaeologyGeotechnical engineeringPure mathematicsHydrology and Watershed Management StudiesHydrology and Drought AnalysisHydrological Forecasting Using AI
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