Articles | Volume 23, issue 7
https://doi.org/10.5194/nhess-23-2403-2023
https://doi.org/10.5194/nhess-23-2403-2023
Research article
 | 
05 Jul 2023
Research article |  | 05 Jul 2023

Bayesian hierarchical modelling of sea-level extremes in the Finnish coastal region

Olle Räty, Marko Laine, Ulpu Leijala, Jani Särkkä, and Milla M. Johansson

Related authors

Winter Subseasonal Wind Speed Forecasts for Finland from ECMWF
Otto Hyvärinen, Terhi K. Laurila, Olle Räty, Natalia Korhonen, Andrea Vajda, and Hilppa Gregow
Adv. Sci. Res., 18, 127–134, https://doi.org/10.5194/asr-18-127-2021,https://doi.org/10.5194/asr-18-127-2021, 2021
Short summary
Copulas for hydroclimatic applications – A practical note on common misconceptions and pitfalls
Faranak Tootoonchi, Jan Olaf Haerter, Olle Räty, Thomas Grabs, Mojtaba Sadegh, and Claudia Teutschbein
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-306,https://doi.org/10.5194/hess-2020-306, 2020
Preprint withdrawn
Short summary
Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations
Olli Peltola, Timo Vesala, Yao Gao, Olle Räty, Pavel Alekseychik, Mika Aurela, Bogdan Chojnicki, Ankur R. Desai, Albertus J. Dolman, Eugenie S. Euskirchen, Thomas Friborg, Mathias Göckede, Manuel Helbig, Elyn Humphreys, Robert B. Jackson, Georg Jocher, Fortunat Joos, Janina Klatt, Sara H. Knox, Natalia Kowalska, Lars Kutzbach, Sebastian Lienert, Annalea Lohila, Ivan Mammarella, Daniel F. Nadeau, Mats B. Nilsson, Walter C. Oechel, Matthias Peichl, Thomas Pypker, William Quinton, Janne Rinne, Torsten Sachs, Mateusz Samson, Hans Peter Schmid, Oliver Sonnentag, Christian Wille, Donatella Zona, and Tuula Aalto
Earth Syst. Sci. Data, 11, 1263–1289, https://doi.org/10.5194/essd-11-1263-2019,https://doi.org/10.5194/essd-11-1263-2019, 2019
Short summary

Related subject area

Sea, Ocean and Coastal Hazards
Tsunami inundation and vulnerability analysis on the Makran coast, Pakistan
Rashid Haider, Sajid Ali, Gösta Hoffmann, and Klaus Reicherter
Nat. Hazards Earth Syst. Sci., 24, 3279–3290, https://doi.org/10.5194/nhess-24-3279-2024,https://doi.org/10.5194/nhess-24-3279-2024, 2024
Short summary
Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment
Kévin Dubois, Morten Andreas Dahl Larsen, Martin Drews, Erik Nilsson, and Anna Rutgersson
Nat. Hazards Earth Syst. Sci., 24, 3245–3265, https://doi.org/10.5194/nhess-24-3245-2024,https://doi.org/10.5194/nhess-24-3245-2024, 2024
Short summary
Volcano tsunamis and their effects on moored vessel safety: the 2022 Tonga event
Sergio Padilla, Íñigo Aniel-Quiroga, Rachid Omira, Mauricio González, Jihwan Kim, and Maria A. Baptista
Nat. Hazards Earth Syst. Sci., 24, 3095–3113, https://doi.org/10.5194/nhess-24-3095-2024,https://doi.org/10.5194/nhess-24-3095-2024, 2024
Short summary
Modelling tsunami initial conditions due to rapid coseismic seafloor displacement: efficient numerical integration and a tool to build unit source databases
Alice Abbate, José M. González Vida, Manuel J. Castro Díaz, Fabrizio Romano, Hafize Başak Bayraktar, Andrey Babeyko, and Stefano Lorito
Nat. Hazards Earth Syst. Sci., 24, 2773–2791, https://doi.org/10.5194/nhess-24-2773-2024,https://doi.org/10.5194/nhess-24-2773-2024, 2024
Short summary
Estuarine hurricane wind can intensify surge-dominated extreme water level in shallow and converging coastal systems
Mithun Deb, James J. Benedict, Ning Sun, Zhaoqing Yang, Robert D. Hetland, David Judi, and Taiping Wang
Nat. Hazards Earth Syst. Sci., 24, 2461–2479, https://doi.org/10.5194/nhess-24-2461-2024,https://doi.org/10.5194/nhess-24-2461-2024, 2024
Short summary

Cited articles

Amante, C. and Eakins, B. W.: ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis, NOAA Technical Memorandum NESDIS NGDC-24, NOAA National Geophysical Data Center [data set], https://doi.org/10.7289/V5C8276M, 2009. a
Averkiev, A. S. and Klevannyy, K. A.: A case study of the impact of cyclonic trajectories on sea-level extremes in the Gulf of Finland, Cont. Shelf Res., 30, 707–714, 2010. a, b
Bardet, L., Duluc, C.-M., Rebour, V., and L'Her, J.: Regional frequency analysis of extreme storm surges along the French coast, Nat. Hazards Earth Syst. Sci., 11, 1627–1639, https://doi.org/10.5194/nhess-11-1627-2011, 2011. a
Bernardara, P., Andreewsky, M., and Benoit, M.: Application of regional frequency analysis to the estimation of extreme storm surges, J. Geophys. Res., 116, C02008, https://doi.org/10.1029/2010JC006229, 2011. a
Calafat, F. M. and Marcos, M.: Probabilistic reanalysis of storm surge extremes in Europe, P. Natl. Acad. Sci. USA, 117, 1877–1883, https://doi.org/10.1073/pnas.1913049117, 2020. a, b, c, d
Download
Short summary
We studied annual maximum sea levels in the Finnish coastal region. Our aim was to better quantify the uncertainty in them compared to previous studies. Using four statistical models, we found out that hierarchical models, which shared information on sea-level extremes across Finnish tide gauges, had lower uncertainty in their results in comparison with tide-gauge-specific fits. These models also suggested that the shape of the distribution for extreme sea levels is similar on the Finnish coast.
Altmetrics
Final-revised paper
Preprint