Articles | Volume 20, issue 12
https://doi.org/10.5194/nhess-20-3225-2020
https://doi.org/10.5194/nhess-20-3225-2020
Research article
 | 
01 Dec 2020
Research article |  | 01 Dec 2020

A nonstationary analysis for investigating the multiscale variability of extreme surges: case of the English Channel coasts

Imen Turki, Lisa Baulon, Nicolas Massei, Benoit Laignel, Stéphane Costa, Matthieu Fournier, and Olivier Maquaire

Related authors

Data-driven modeling of hydraulic head time series: results and lessons learned from the 2022 groundwater modeling challenge
Raoul Alexander Collenteur, Ezra Haaf, Mark Bakker, Tanja Liesch, Andreas Wunsch, Jenny Soonthornrangsan, Jeremy White, Nick Martin, Rui Hugman, Michael Fienen, Ed de Sousa, Didier Vanden Berghe, Xinyang Fan, Tim Peterson, Janis Bikše, Antoine Di Ciacca, Xinyue Wang, Yang Zheng, Maximilian Nölscher, Julian Koch, Raphael Schneider, Nikolas Benavides Höglund, Sivarama Krishna Reddy Chidepudi, Abel Henriot, Nicolas Massei, Abderrahim Jardani, Max Gustav Rudolph, Amir Rouhani, Jaime Gómez-Hernández, Seifeddine Jomaa, Anna Pölz, Tim Franken, Morteza Behbooei, Jimmy Lin, Bryan Tolson, and Rojin Meysami
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-111,https://doi.org/10.5194/hess-2024-111, 2024
Preprint under review for HESS
Short summary
Training deep learning models with a multi-station approach and static aquifer attributes for groundwater level simulation: what’s the best way to leverage regionalised information?
Sivarama Krishna Reddy Chidepudi, Nicolas Massei, Abderrahim Jardani, Bastien Dieppois, Abel Henriot, and Matthieu Fournier
EGUsphere, https://doi.org/10.5194/egusphere-2024-794,https://doi.org/10.5194/egusphere-2024-794, 2024
Short summary
Analyse en ondelettes des séries temporelles aux stations de pluies et débits dans le bassin versant de Tortiya amont (Nord de la Côte d'Ivoire)
Marc Auriol Amalaman, Gil Mahé, Béh Ibrahim Diomande, Armand Zamblé Tra Bi, Nathalie Rouché, Zeineddine Nouaceur, and Benoit Laignel
Proc. IAHS, 385, 365–370, https://doi.org/10.5194/piahs-385-365-2024,https://doi.org/10.5194/piahs-385-365-2024, 2024
Short summary
Improvement of the KarstMod modeling platform for a better assessment of karst groundwater resources
Vianney Sivelle, Guillaume Cinkus, Naomi Mazzilli, David Labat, Bruno Arfib, Nicolas Massei, Yohann Cousquer, Dominique Bertin, and Hervé Jourde
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-17,https://doi.org/10.5194/hess-2023-17, 2023
Revised manuscript under review for HESS
Short summary
Influence of low-frequency variability on high and low groundwater levels: example of aquifers in the Paris Basin
Lisa Baulon, Nicolas Massei, Delphine Allier, Matthieu Fournier, and Hélène Bessiere
Hydrol. Earth Syst. Sci., 26, 2829–2854, https://doi.org/10.5194/hess-26-2829-2022,https://doi.org/10.5194/hess-26-2829-2022, 2022
Short summary

Related subject area

Sea, Ocean and Coastal Hazards
Brief communication: Implications of outstanding solitons for the occurrence of rogue waves at two additional sites in the North Sea
Ina Teutsch, Ralf Weisse, and Sander Wahls
Nat. Hazards Earth Syst. Sci., 24, 2065–2069, https://doi.org/10.5194/nhess-24-2065-2024,https://doi.org/10.5194/nhess-24-2065-2024, 2024
Short summary
A systemic and comprehensive assessment of coastal hazard changes: method and application to France and its overseas territories
Marc Igigabel, Marissa Yates, Michalis Vousdoukas, and Youssef Diab
Nat. Hazards Earth Syst. Sci., 24, 1951–1974, https://doi.org/10.5194/nhess-24-1951-2024,https://doi.org/10.5194/nhess-24-1951-2024, 2024
Short summary
Simulating sea level extremes from synthetic low-pressure systems
Jani Särkkä, Jani Räihä, Mika Rantanen, and Matti Kämäräinen
Nat. Hazards Earth Syst. Sci., 24, 1835–1842, https://doi.org/10.5194/nhess-24-1835-2024,https://doi.org/10.5194/nhess-24-1835-2024, 2024
Short summary
Nonlinear processes in tsunami simulations for the Peruvian coast with focus on Lima and Callao
Alexey Androsov, Sven Harig, Natalia Zamora, Kim Knauer, and Natalja Rakowsky
Nat. Hazards Earth Syst. Sci., 24, 1635–1656, https://doi.org/10.5194/nhess-24-1635-2024,https://doi.org/10.5194/nhess-24-1635-2024, 2024
Short summary
The potential of global coastal flood risk reduction using various DRR measures
Eric Mortensen, Timothy Tiggeloven, Toon Haer, Bas van Bemmel, Dewi Le Bars, Sanne Muis, Dirk Eilander, Frederiek Sperna Weiland, Arno Bouwman, Willem Ligtvoet, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 24, 1381–1400, https://doi.org/10.5194/nhess-24-1381-2024,https://doi.org/10.5194/nhess-24-1381-2024, 2024
Short summary

Cited articles

Akaike, H.: Information theory as an extension of the maximum likelihood principle, edited by: Petrov, B. N. and Csaki, F., in: Second International Symposium on Information Theory, Akademiai Kiado, Budapest, 267–281, 1974. 
Andrade, C., Leite, S. M., and Santos, J. A.: Temperature extremes in Europe: overview of their driving atmospheric patterns, Nat. Hazards Earth Syst. Sci., 12, 1671–1691, https://doi.org/10.5194/nhess-12-1671-2012, 2012. 
Brown, J., Souza, A., and Wolf, J.: Surge modelling in the eastern Irish Sea: Present and future storm impact, Ocean Dyn., 60, 227–236, https://doi.org/10.1007/s10236-009-0248-8, 2010. 
Cassou, C., Terray, L., and Phillips, A. S.: Tropical Atlantic influence on European heat waves, J. Climate, 18, 2805–2810, 2005. 
Colberg, F., McInnes, K. L., O'Grady, J., and Hoeke, R.: Atmospheric circulation changes and their impact on extreme sea levels around Australia, Nat. Hazards Earth Syst. Sci., 19, 1067–1086, https://doi.org/10.5194/nhess-19-1067-2019, 2019. 
Download
Short summary
We examine the variability of storm surges along the English Channel coasts and their connection with the global atmospheric circulation at the interannual and interdecadal timescales using hybrid approaches combining wavelet techniques and probabilistic generalized extreme value models. Our hypothesis is that the physical mechanisms of the atmospheric circulation change according to the timescales and their connection with the local variability improve the prediction of the extreme surges.
Altmetrics
Final-revised paper
Preprint