Articles | Volume 20, issue 9
Hydrol. Earth Syst. Sci., 20, 3527–3547, 2016
https://doi.org/10.5194/hess-20-3527-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 20, 3527–3547, 2016
https://doi.org/10.5194/hess-20-3527-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
05 Sep 2016
Research article
| 05 Sep 2016
The transformed-stationary approach: a generic and simplified methodology for non-stationary extreme value analysis
Lorenzo Mentaschi et al.
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- Understanding epistemic uncertainty in large-scale coastal flood risk assessment for present and future climates M. Vousdoukas et al. 10.5194/nhess-18-2127-2018
- Accuracy of pan‐European coastal flood mapping D. Paprotny et al. 10.1111/jfr3.12459
- Future high-temperature extremes and stationarity S. Parey et al. 10.1007/s11069-018-3499-1
- Modelling Prospective Flood Hazard in a Changing Climate, Benevento Province, Southern Italy L. Guerriero et al. 10.3390/w12092405
- Extreme wind power forecast error analysis considering its application in day‐ahead reserve capacity planning F. Zhang et al. 10.1049/iet-rpg.2018.5023
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- Climate change impacts on critical international transportation assets of Caribbean Small Island Developing States (SIDS): the case of Jamaica and Saint Lucia I. Monioudi et al. 10.1007/s10113-018-1360-4
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- Extreme sea levels on the rise along Europe's coasts M. Vousdoukas et al. 10.1002/2016EF000505
- Global probabilistic projections of extreme sea levels show intensification of coastal flood hazard M. Vousdoukas et al. 10.1038/s41467-018-04692-w
21 citations as recorded by crossref.
- Statistical models for extreme waves: Comparison of distributions and Monte Carlo simulation of uncertainty T. Görmüş et al. 10.1016/j.oceaneng.2022.110820
- A Pan-European high resolution storm surge hindcast T. Fernández-Montblanc et al. 10.1016/j.envint.2019.105367
- A record of seafloor methane seepage across the last 150 million years D. Oppo et al. 10.1038/s41598-020-59431-3
- The wave climate of Bass Strait and South-East Australia J. Liu et al. 10.1016/j.ocemod.2022.101980
- Increased economic drought impacts in Europe with anthropogenic warming G. Naumann et al. 10.1038/s41558-021-01044-3
- Global changes of extreme coastal wave energy fluxes triggered by intensified teleconnection patterns L. Mentaschi et al. 10.1002/2016GL072488
- Extreme floods of Venice: characteristics, dynamics, past and future evolution (review article) P. Lionello et al. 10.5194/nhess-21-2705-2021
- A High-Resolution Global Dataset of Extreme Sea Levels, Tides, and Storm Surges, Including Future Projections S. Muis et al. 10.3389/fmars.2020.00263
- Spatiotemporal long-term trends of wind and wave climate and extreme characteristics over the Sea of Marmara Y. Yuksel et al. 10.1016/j.oceaneng.2021.108946
- Uncertainty and Bias in Global to Regional Scale Assessments of Current and Future Coastal Flood Risk J. Hinkel et al. 10.1029/2020EF001882
- Understanding epistemic uncertainty in large-scale coastal flood risk assessment for present and future climates M. Vousdoukas et al. 10.5194/nhess-18-2127-2018
- Accuracy of pan‐European coastal flood mapping D. Paprotny et al. 10.1111/jfr3.12459
- Future high-temperature extremes and stationarity S. Parey et al. 10.1007/s11069-018-3499-1
- Modelling Prospective Flood Hazard in a Changing Climate, Benevento Province, Southern Italy L. Guerriero et al. 10.3390/w12092405
- Extreme wind power forecast error analysis considering its application in day‐ahead reserve capacity planning F. Zhang et al. 10.1049/iet-rpg.2018.5023
- Extreme heat waves under 1.5 °C and 2 °C global warming A. Dosio et al. 10.1088/1748-9326/aab827
- Independence of Future Changes of River Runoff in Europe from the Pathway to Global Warming L. Mentaschi et al. 10.3390/cli8020022
- Long-Term and Seasonal Trends in Global Wave Height Extremes Derived from ERA-5 Reanalysis Data A. Takbash & I. Young 10.3390/jmse8121015
- Non-stationary extreme value analysis of sea states based on linear trends. Analysis of annual maxima series of significant wave height and peak period in the Mediterranean Sea F. De Leo et al. 10.1016/j.coastaleng.2021.103896
- Effects of parameter estimation method and sample size in metocean design conditions T. Soukissian & C. Tsalis 10.1016/j.oceaneng.2018.09.017
- A generalized framework for process-informed nonstationary extreme value analysis E. Ragno et al. 10.1016/j.advwatres.2019.06.007
6 citations as recorded by crossref.
- Climatic and socioeconomic controls of future coastal flood risk in Europe M. Vousdoukas et al. 10.1038/s41558-018-0260-4
- Developments in large-scale coastal flood hazard mapping M. Vousdoukas et al. 10.5194/nhess-16-1841-2016
- Climate change impacts on critical international transportation assets of Caribbean Small Island Developing States (SIDS): the case of Jamaica and Saint Lucia I. Monioudi et al. 10.1007/s10113-018-1360-4
- Economic motivation for raising coastal flood defenses in Europe M. Vousdoukas et al. 10.1038/s41467-020-15665-3
- Extreme sea levels on the rise along Europe's coasts M. Vousdoukas et al. 10.1002/2016EF000505
- Global probabilistic projections of extreme sea levels show intensification of coastal flood hazard M. Vousdoukas et al. 10.1038/s41467-018-04692-w
Saved (preprint)
Latest update: 27 Jun 2022
Short summary
The climate is subject to variations which must be considered
studying the intensity and frequency of extreme events.
We introduce in this paper a new methodology
for the study of variable extremes, which consists in detecting
the pattern of variability of a time series, and applying these patterns
to the analysis of the extreme events.
This technique comes with advantages with respect to the previous ones
in terms of accuracy, simplicity, and robustness.
The climate is subject to variations which must be considered
studying the intensity and...
