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 language | English |
|---|---|
| Pages (from-to) | 1913-1949 |
| Number of pages | 37 |
| Journal | Hydrological Sciences Journal |
| Volume | 69 |
| Issue number | 14 |
| DOIs | |
| Publication status | Published - 2024 |
Bibliographical note
Publisher Copyright:© 2024 IAHS.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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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