Elena Volpi, Salvatore Grimaldi, Amir Aghakouchak, Attilio Castellarin, Fateh Chebana, Simon Michael Papalexiou, Hafzullah Aksoy, András Bárdossy, Antonino Cancelliere, Yanfeng Chen, Roberto Deidda, Uwe Haberlandt, Ebru Eris, Svenja Fischer, Félix Francés, Dmitri Kavetski, Thomas Rodding Kjeldsen, Krzysztof Kochanek, Andreas Langousis, Luis Mediero Orduña, Alberto Montanari, Sofia D. Nerantzaki, Taha B.M.J. Ouarda, Ilaria Prosdocimi, Elesa Ragno, Chandra R. Rajulapati, Ana Isabel Requena, Elena Ridolfi, Mojtaba Sadegh, Andreas Schumann, Ashish Sharma
{"title":"The legacy of STAHY: Milestones, achievements, challenges, and open problems in statistical hydrology","authors":"Elena Volpi, Salvatore Grimaldi, Amir Aghakouchak, Attilio Castellarin, Fateh Chebana, Simon Michael Papalexiou, Hafzullah Aksoy, András Bárdossy, Antonino Cancelliere, Yanfeng Chen, Roberto Deidda, Uwe Haberlandt, Ebru Eris, Svenja Fischer, Félix Francés, Dmitri Kavetski, Thomas Rodding Kjeldsen, Krzysztof Kochanek, Andreas Langousis, Luis Mediero Orduña, Alberto Montanari, Sofia D. Nerantzaki, Taha B.M.J. Ouarda, Ilaria Prosdocimi, Elesa Ragno, Chandra R. Rajulapati, Ana Isabel Requena, Elena Ridolfi, Mojtaba Sadegh, Andreas Schumann, Ashish Sharma","doi":"10.1080/02626667.2024.2385686","DOIUrl":null,"url":null,"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 evo...","PeriodicalId":13036,"journal":{"name":"Hydrological Sciences Journal","volume":"58 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrological Sciences Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02626667.2024.2385686","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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 evo...
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