Articles | Volume 21, issue 4
Nat. Hazards Earth Syst. Sci., 21, 1279–1296, 2021
https://doi.org/10.5194/nhess-21-1279-2021

Special issue: Advances in extreme value analysis and application to natural...

Nat. Hazards Earth Syst. Sci., 21, 1279–1296, 2021
https://doi.org/10.5194/nhess-21-1279-2021

Research article 26 Apr 2021

Research article | 26 Apr 2021

Non-stationary analysis of water level extremes in Latvian waters, Baltic Sea, during 1961–2018

Nadezhda Kudryavtseva et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (05 Aug 2020) by Thomas Wahl
AR by Nadia Kudryavtseva on behalf of the Authors (08 Nov 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (09 Nov 2020) by Thomas Wahl
RR by Anonymous Referee #2 (02 Dec 2020)
ED: Publish subject to minor revisions (review by editor) (02 Dec 2020) by Thomas Wahl
AR by Nadia Kudryavtseva on behalf of the Authors (12 Dec 2020)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (14 Dec 2020) by Thomas Wahl

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Nadia Kudryavtseva on behalf of the Authors (15 Apr 2021)   Author's adjustment   Manuscript
EA: Adjustments approved (19 Apr 2021) by Thomas Wahl
Download
Short summary
We demonstrate a finding of a very sudden change in the nature of water level extremes in the Gulf of Riga which coincides with weakening of correlation with North Atlantic Oscillation. The shape of the distribution is variable with time; it abruptly changed for several years and was suddenly restored. If similar sudden changes happen in other places in the world, not taking into account the non-stationarity can lead to significant underestimation of future risks from extreme-water-level events.
Altmetrics
Final-revised paper
Preprint