Articles | Volume 23, issue 4
https://doi.org/10.5194/nhess-23-1613-2023
https://doi.org/10.5194/nhess-23-1613-2023
Research article
 | 
28 Apr 2023
Research article |  | 28 Apr 2023

Probabilistic projections and past trends of sea level rise in Finland

Havu Pellikka, Milla M. Johansson, Maaria Nordman, and Kimmo Ruosteenoja

Related authors

Bayesian hierarchical modelling of sea-level extremes in the Finnish coastal region
Olle Räty, Marko Laine, Ulpu Leijala, Jani Särkkä, and Milla M. Johansson
Nat. Hazards Earth Syst. Sci., 23, 2403–2418, https://doi.org/10.5194/nhess-23-2403-2023,https://doi.org/10.5194/nhess-23-2403-2023, 2023
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
EXPERIENCES FROM THE PROJECT COURSE IN GEOINFORMATICS
H. Haggrén, P. Ståhle, M. Vaaja, P. Rönnholm, P. Sarkola, M. Rautiainen, M. Nordman, and J. Nikander
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-5-2020, 17–22, https://doi.org/10.5194/isprs-annals-V-5-2020-17-2020,https://doi.org/10.5194/isprs-annals-V-5-2020-17-2020, 2020
Combining probability distributions of sea level variations and wave run-up to evaluate coastal flooding risks
Ulpu Leijala, Jan-Victor Björkqvist, Milla M. Johansson, Havu Pellikka, Lauri Laakso, and Kimmo K. Kahma
Nat. Hazards Earth Syst. Sci., 18, 2785–2799, https://doi.org/10.5194/nhess-18-2785-2018,https://doi.org/10.5194/nhess-18-2785-2018, 2018
Short summary
Using the Nordic Geodetic Observing System for land uplift studies
M. Nordman, M. Poutanen, A. Kairus, and J. Virtanen
Solid Earth, 5, 673–681, https://doi.org/10.5194/se-5-673-2014,https://doi.org/10.5194/se-5-673-2014, 2014

Related subject area

Sea, Ocean and Coastal Hazards
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
Revisiting regression methods for estimating long-term trends in sea surface temperature
Ming-Huei Chang, Yen-Chen Huang, Yu-Hsin Cheng, Chuen-Teyr Terng, Jinyi Chen, and Jyh Cherng Jan
Nat. Hazards Earth Syst. Sci., 24, 2481–2494, https://doi.org/10.5194/nhess-24-2481-2024,https://doi.org/10.5194/nhess-24-2481-2024, 2024
Short summary
Global application of a regional frequency analysis to extreme sea levels
Thomas P. Collings, Niall D. Quinn, Ivan D. Haigh, Joshua Green, Izzy Probyn, Hamish Wilkinson, Sanne Muis, William V. Sweet, and Paul D. Bates
Nat. Hazards Earth Syst. Sci., 24, 2403–2423, https://doi.org/10.5194/nhess-24-2403-2024,https://doi.org/10.5194/nhess-24-2403-2024, 2024
Short summary
Tsunami hazard assessment in the South China Sea based on geodetic locking of the Manila subduction zone
Guangsheng Zhao and Xiaojing Niu
Nat. Hazards Earth Syst. Sci., 24, 2303–2313, https://doi.org/10.5194/nhess-24-2303-2024,https://doi.org/10.5194/nhess-24-2303-2024, 2024
Short summary

Cited articles

Andersson, H. C.: Influence of long-term regional and large-scale atmospheric circulation on the Baltic sea level, Tellus A, 54, 76–88, 2002. a
Bamber, J. L., Oppenheimer, M., Kopp, R. E., Aspinall, W. P., and Cooke, R. M.: Ice sheet contributions to future sea-level rise from structured expert judgment, P. Natl. Acad. Sci. USA, 116, 11195–11200, 2019. a
Behar, D., Kopp, R., DeConto, R., Weaver, C., White, K., May, K., and Bindschadler, R.: Planning for sea level rise: An AGU talk in the form of a co-production experiment exploring recent science, in: AGU Fall Meeting, 11–15 December 2017, New Orleans, Louisiana, USA, https://www.wucaonline.org/assets/pdf/pubs-sfpuc-agu-consensus-statement.pdf (last access: 21 April 2023), 2017. a, b
Chen, D., Rojas, M., Samset, B. H., Cobb, K., Niang, A. D., Edwards, P., Emori, S., Faria, S. H., Hawkins, E., Hope, P., Huybrechts, P., Meinshausen, M., Mustafa, S. K., Plattner, G.-K., and Tréguier, A.-M.: Framing, context, and methods, in: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University Press, Cambridge, UK and New York, NY, USA, 147–286, https://doi.org/10.1017/9781009157896.003, 2021. a
CISL Research Data Archive: Daily Northern Hemisphere Sea Level Pressure Grids, continuing from 1899, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory, University Corporation for Atmospheric Research, Boulder, CO [data set], https://doi.org/10.5065/7NB6-RJ33, 1979. a
Download
Short summary
We explore the rate of past and future sea level rise at the Finnish coast, northeastern Baltic Sea, in 1901–2100. For this analysis, we use tide gauge observations, modelling results, and a probabilistic method to combine information from several sea level rise projections. We provide projections of local mean sea level by 2100 as probability distributions. The results can be used in adaptation planning in various sectors with different risk tolerance, e.g. land use planning or nuclear safety.
Altmetrics
Final-revised paper
Preprint