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

Analysis and prediction of water level extremes in the eastern Baltic Sea are difficult tasks because of the contribution of various drivers to the water level, the presence of outliers in time series, and possibly non-stationarity of the extremes. Non-stationary modeling of extremes was performed t...

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Published in:Natural Hazards and Earth System Sciences
Main Authors: N. Kudryavtseva, T. Soomere, R. Männikus
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2021
Subjects:
geo
Online Access:https://doi.org/10.5194/nhess-21-1279-2021
https://nhess.copernicus.org/articles/21/1279/2021/nhess-21-1279-2021.pdf
https://doaj.org/article/923e80885df2461c802f1cac4a379110
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:923e80885df2461c802f1cac4a379110 2023-05-15T17:36:36+02:00 Non-stationary analysis of water level extremes in Latvian waters, Baltic Sea, during 1961–2018 N. Kudryavtseva T. Soomere R. Männikus 2021-04-01 https://doi.org/10.5194/nhess-21-1279-2021 https://nhess.copernicus.org/articles/21/1279/2021/nhess-21-1279-2021.pdf https://doaj.org/article/923e80885df2461c802f1cac4a379110 en eng Copernicus Publications doi:10.5194/nhess-21-1279-2021 1561-8633 1684-9981 https://nhess.copernicus.org/articles/21/1279/2021/nhess-21-1279-2021.pdf https://doaj.org/article/923e80885df2461c802f1cac4a379110 undefined Natural Hazards and Earth System Sciences, Vol 21, Pp 1279-1296 (2021) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2021 fttriple https://doi.org/10.5194/nhess-21-1279-2021 2023-01-22T18:14:10Z Analysis and prediction of water level extremes in the eastern Baltic Sea are difficult tasks because of the contribution of various drivers to the water level, the presence of outliers in time series, and possibly non-stationarity of the extremes. Non-stationary modeling of extremes was performed to the block maxima of water level derived from the time series at six locations in the Gulf of Riga and one location in the Baltic proper, Baltic Sea, during 1961–2018. Several parameters of the generalized-extreme-value (GEV) distribution of the measured water level maxima both in the Baltic proper and in the interior of the Gulf of Riga exhibit statistically significant changes over these years. The most considerable changes occur to the shape parameter ξ. All stations in the interior of the Gulf of Riga experienced a regime shift: a drastic abrupt drop in the shape parameter from ξ≈0.03±0.02 to ξ≈-0.36±0.04 around 1986 followed by an increase of a similar magnitude around 1990. This means a sudden switch from a Fréchet distribution to a three-parameter Weibull distribution and back. The period of an abrupt shift (1986–1990) in the shape parameters of GEV distribution in the interior of the Gulf of Riga coincides with the significant weakening of correlation between the water level extremes and the North Atlantic Oscillation (NAO). The water level extremes at Kolka at the entrance to the Gulf of Riga reveal a significant linear trend in shape parameter following the ξ≈-0.44+0.01(t-1961) relation. There is evidence of a different course of the water level extremes in the Baltic proper and the interior of the Gulf of Riga. The described changes may lead to greatly different projections for long-term behavior of water level extremes and their return periods based on data from different intervals. Highlights. Water level extremes in the eastern Baltic Sea and the Gulf of Riga are analyzed for 1961–2018. Significant changes in parameters of generalized-extreme-value distribution are identified. Significant linear trend ... Article in Journal/Newspaper North Atlantic North Atlantic oscillation Unknown Natural Hazards and Earth System Sciences 21 4 1279 1296
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
N. Kudryavtseva
T. Soomere
R. Männikus
Non-stationary analysis of water level extremes in Latvian waters, Baltic Sea, during 1961–2018
topic_facet geo
envir
description Analysis and prediction of water level extremes in the eastern Baltic Sea are difficult tasks because of the contribution of various drivers to the water level, the presence of outliers in time series, and possibly non-stationarity of the extremes. Non-stationary modeling of extremes was performed to the block maxima of water level derived from the time series at six locations in the Gulf of Riga and one location in the Baltic proper, Baltic Sea, during 1961–2018. Several parameters of the generalized-extreme-value (GEV) distribution of the measured water level maxima both in the Baltic proper and in the interior of the Gulf of Riga exhibit statistically significant changes over these years. The most considerable changes occur to the shape parameter ξ. All stations in the interior of the Gulf of Riga experienced a regime shift: a drastic abrupt drop in the shape parameter from ξ≈0.03±0.02 to ξ≈-0.36±0.04 around 1986 followed by an increase of a similar magnitude around 1990. This means a sudden switch from a Fréchet distribution to a three-parameter Weibull distribution and back. The period of an abrupt shift (1986–1990) in the shape parameters of GEV distribution in the interior of the Gulf of Riga coincides with the significant weakening of correlation between the water level extremes and the North Atlantic Oscillation (NAO). The water level extremes at Kolka at the entrance to the Gulf of Riga reveal a significant linear trend in shape parameter following the ξ≈-0.44+0.01(t-1961) relation. There is evidence of a different course of the water level extremes in the Baltic proper and the interior of the Gulf of Riga. The described changes may lead to greatly different projections for long-term behavior of water level extremes and their return periods based on data from different intervals. Highlights. Water level extremes in the eastern Baltic Sea and the Gulf of Riga are analyzed for 1961–2018. Significant changes in parameters of generalized-extreme-value distribution are identified. Significant linear trend ...
format Article in Journal/Newspaper
author N. Kudryavtseva
T. Soomere
R. Männikus
author_facet N. Kudryavtseva
T. Soomere
R. Männikus
author_sort N. Kudryavtseva
title Non-stationary analysis of water level extremes in Latvian waters, Baltic Sea, during 1961–2018
title_short Non-stationary analysis of water level extremes in Latvian waters, Baltic Sea, during 1961–2018
title_full Non-stationary analysis of water level extremes in Latvian waters, Baltic Sea, during 1961–2018
title_fullStr Non-stationary analysis of water level extremes in Latvian waters, Baltic Sea, during 1961–2018
title_full_unstemmed Non-stationary analysis of water level extremes in Latvian waters, Baltic Sea, during 1961–2018
title_sort non-stationary analysis of water level extremes in latvian waters, baltic sea, during 1961–2018
publisher Copernicus Publications
publishDate 2021
url https://doi.org/10.5194/nhess-21-1279-2021
https://nhess.copernicus.org/articles/21/1279/2021/nhess-21-1279-2021.pdf
https://doaj.org/article/923e80885df2461c802f1cac4a379110
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Natural Hazards and Earth System Sciences, Vol 21, Pp 1279-1296 (2021)
op_relation doi:10.5194/nhess-21-1279-2021
1561-8633
1684-9981
https://nhess.copernicus.org/articles/21/1279/2021/nhess-21-1279-2021.pdf
https://doaj.org/article/923e80885df2461c802f1cac4a379110
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container_title Natural Hazards and Earth System Sciences
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