Articles | Volume 20, issue 12
https://doi.org/10.5194/nhess-20-3593-2020
https://doi.org/10.5194/nhess-20-3593-2020
Research article
 | 
23 Dec 2020
Research article |  | 23 Dec 2020

Wave height return periods from combined measurement–model data: a Baltic Sea case study

Jan-Victor Björkqvist, Sander Rikka, Victor Alari, Aarne Männik, Laura Tuomi, and Heidi Pettersson

Related authors

Wave-induced sediment resuspension in the Finnish Archipelago, Baltic Sea: Combining small-scale in situ measurements and large-scale numerical model simulations
Jan-Victor Björkqvist, Mari Savela, Heidi Pettersson, Victor Alari, and Alf Norkko
EGUsphere, https://doi.org/10.5194/egusphere-2025-2936,https://doi.org/10.5194/egusphere-2025-2936, 2025
This preprint is open for discussion and under review for Ocean Science (OS).
Short summary
Technical note: Automatic retrieval of wind speed and direction from in situ wave observations of a small buoy
Jan-Victor Björkqvist and Victor Alari
EGUsphere, https://doi.org/10.5194/egusphere-2024-3477,https://doi.org/10.5194/egusphere-2024-3477, 2024
Preprint archived
Short summary
Event-based wave statistics for the Baltic Sea
Jan-Victor Björkqvist, Hedi Kanarik, Laura Tuomi, Lauri Niskanen, and Markus Kankainen
State Planet, 4-osr8, 10, https://doi.org/10.5194/sp-4-osr8-10-2024,https://doi.org/10.5194/sp-4-osr8-10-2024, 2024
Short summary
Correlation of wind waves and sea level variations on the coast of the seasonally ice-covered Gulf of Finland
Milla M. Johansson, Jan-Victor Björkqvist, Jani Särkkä, Ulpu Leijala, and Kimmo K. Kahma
Nat. Hazards Earth Syst. Sci., 22, 813–829, https://doi.org/10.5194/nhess-22-813-2022,https://doi.org/10.5194/nhess-22-813-2022, 2022
Short summary
Swell hindcast statistics for the Baltic Sea
Jan-Victor Björkqvist, Siim Pärt, Victor Alari, Sander Rikka, Elisa Lindgren, and Laura Tuomi
Ocean Sci., 17, 1815–1829, https://doi.org/10.5194/os-17-1815-2021,https://doi.org/10.5194/os-17-1815-2021, 2021
Short summary

Related subject area

Sea, Ocean and Coastal Hazards
Semi-empirical forecast modelling of rip-current and shore-break wave hazards
Bruno Castelle, Jeoffrey Dehez, Jean-Philippe Savy, Sylvain Liquet, and David Carayon
Nat. Hazards Earth Syst. Sci., 25, 2379–2397, https://doi.org/10.5194/nhess-25-2379-2025,https://doi.org/10.5194/nhess-25-2379-2025, 2025
Short summary
A multiscale modelling framework of coastal flooding events for global to local flood hazard assessments
Irene Benito, Jeroen C. J. H. Aerts, Philip J. Ward, Dirk Eilander, and Sanne Muis
Nat. Hazards Earth Syst. Sci., 25, 2287–2315, https://doi.org/10.5194/nhess-25-2287-2025,https://doi.org/10.5194/nhess-25-2287-2025, 2025
Short summary
Super typhoons Mangkhut (2018) and Saola (2023) during landfall: comparison and insights for wind engineering practice
Yujie Liu, Yuncheng He, Pakwai Chan, Aiming Liu, and Qijun Gao
Nat. Hazards Earth Syst. Sci., 25, 2255–2269, https://doi.org/10.5194/nhess-25-2255-2025,https://doi.org/10.5194/nhess-25-2255-2025, 2025
Short summary
Recent Baltic Sea storm surge events from a climate perspective
Nikolaus Groll, Lidia Gaslikova, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 25, 2137–2154, https://doi.org/10.5194/nhess-25-2137-2025,https://doi.org/10.5194/nhess-25-2137-2025, 2025
Short summary
Development of a wind-based storm surge model for the German Bight
Laura Schaffer, Andreas Boesch, Johanna Baehr, and Tim Kruschke
Nat. Hazards Earth Syst. Sci., 25, 2081–2096, https://doi.org/10.5194/nhess-25-2081-2025,https://doi.org/10.5194/nhess-25-2081-2025, 2025
Short summary

Cited articles

Aarnes, O. J., Breivik, Ø., and Reistad, M.: Wave Extremes in the northeast Atlantic, J. Climate, 25, 1529–1543, https://doi.org/10.1175/JCLI-D-11-00132.1, 2012. a, b, c, d, e
Berg, P., Döscher, R., and Koenigk, T.: Impacts of using spectral nudging on regional climate model RCA4 simulations of the Arctic, Geosci. Model Dev., 6, 849–859, https://doi.org/10.5194/gmd-6-849-2013, 2013. a
Bidlot, J. R., Holmes, D. J., Wittmann, P. A., Lalbeharry, R., and Chen, H. S.:Intercomparison of the performance of operational ocean wave forecasting systems with buoy data, Weather Forecast., 17, 287–310, https://doi.org/10.1175/1520-0434(2002)017<0287:IOTPOO>2.0.CO;2, 2002. a, b
Bitner-Gregersen, E. M. and Magnusson, A. K.: Effect of intrinsic and sampling variability on wave parameters and wave statistics, Ocean Dynam., 64, 1643–1655, https://doi.org/10.1007/s10236-014-0768-8, 2014. a
Björkqvist, J.-V.: Waves in Archipelagos, PhD thesis, FMI Contributions 159, University of Helsinki, Helsinki, Finland, available at: http://hdl.handle.net/10138/308954, last access: 14 December 2020. a
Download
Short summary
Wave observations have a fundamental uncertainty due to the randomness of the sea state. Such scatter is absent in model data, and we tried two methods to best account for this difference when combining measured and modelled wave heights. The results were used to estimate how rare a 2019 storm in the Bothnian Sea was. Both methods were found to have strengths and weaknesses, but our best estimate was that, in the current climate, such a storm might on average repeat about once a century.
Share
Altmetrics
Final-revised paper
Preprint