Reliable estimation of high floods: A method to select the most suitable ordinary distribution in the Metastatistical extreme value framework-Reference-Cited by-同舟云学术

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Reliable estimation of high floods: A method to select the most suitable ordinary distribution in the Metastatistical extreme value framework

Published:2022-03 Issue: Volume:161 Page:104127
ISSN:0309-1708
Container-title:Advances in Water Resources
language:en
Short-container-title:Advances in Water Resources

Author:

Mushtaq Sumra,Miniussi Arianna,Merz Ralf,Basso Stefano

Funder

Higher Education Commision, Pakistan

Deutscher Akademischer Austauschdienst

Deutsche Forschungsgemeinschaft

Helmholtz-Zentrum für Umweltforschung

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference67 articles.

1. A physically based analytical model of flood frequency curves;Basso;Geophys. Res. Lett.,2016

2. PHEV! the physically-based extreme value dis tribution of river flows;Basso;Environ. Res. Lett.,2021

3. The flood probability distribution tail: how heavy is it?;Bernardara;Stoch. Environ. Res. Risk Assess.,2008

4. Seasonality of floods in German;Beurton;Hydrol. Sci. J.,2009

5. Towards a systematic approach to comparing distributions used in flood frequency analysis;Bobée;J. Hydrol.,1993

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A metastatistical frequency analysis of extreme storm surge hazard along the US coastline;Coastal Engineering Journal;2024-04-02

2. Compounding effects in flood drivers challenge estimates of extreme river floods;Science Advances;2024-03-29

3. How extreme are flood peak distributions? A quasi-global analysis of daily discharge records;Journal of Hydrology;2024-03

4. Inferring heavy tails of flood distributions through hydrograph recession analysis;Hydrology and Earth System Sciences;2023-12-14

5. Accounting for seasonality in the metastatistical extreme value distribution;Weather and Climate Extremes;2023-12

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