Articles | Volume 23, issue 7
https://doi.org/10.5194/nhess-23-2403-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-23-2403-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Jul 2023
Research article |
| 05 Jul 2023
| 05 Jul 2023
Bayesian hierarchical modelling of sea-level extremes in the Finnish coastal region
Olle Räty
CORRESPONDING AUTHOR
Finnish Meteorological Institute, P.O. Box 503,
00101 Helsinki, Finland
Marko Laine
Finnish Meteorological Institute, P.O. Box 503,
00101 Helsinki, Finland
Ulpu Leijala
Finnish Meteorological Institute, P.O. Box 503,
00101 Helsinki, Finland
Jani Särkkä
Finnish Meteorological Institute, P.O. Box 503,
00101 Helsinki, Finland
Milla M. Johansson
Finnish Meteorological Institute, P.O. Box 503,
00101 Helsinki, Finland
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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.
We studied annual maximum sea levels in the Finnish coastal region. Our aim was to better...
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