Analysis of wave time series in the Estonian coastal sea in 2003–2014

Statistics of hindcast wave series were studied at eight differently exposed fetch-limited Estonian coastal sea locations (Harilaid, Kihnu, Kõiguste, Matsi, Neugrund, Sundgrund, Suurupi and Letipea). Based on episodic wave measurements obtained with the bottom mounted Recording Doppler Current Profi...

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Main Author: Ülo Suursaar
Format: Article
Language:English
Published: Estonian Academy Publishers 2015-11-01
Series:Estonian Journal of Earth Sciences
Subjects:
Online Access:http://www.kirj.ee/public/Estonian_Journal_of_Earth_Sciences/2015/issue_4/earth-2015-4-289-304.pdf
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spelling doaj-b14e2b36cf9b4df4a91352c0c36182ad2020-11-24T23:02:00ZengEstonian Academy PublishersEstonian Journal of Earth Sciences1736-47281736-75572015-11-0164428930410.3176/earth.2015.3510.3176/earth.2015.35Analysis of wave time series in the Estonian coastal sea in 2003–2014Ülo Suursaar0Estonian Marine Institute, University of Tartu, Mäealuse 14, 12618 Tallinn, Estonia; ulo.suursaar@ut.eeStatistics of hindcast wave series were studied at eight differently exposed fetch-limited Estonian coastal sea locations (Harilaid, Kihnu, Kõiguste, Matsi, Neugrund, Sundgrund, Suurupi and Letipea). Based on episodic wave measurements obtained with the bottom mounted Recording Doppler Current Profiler in 2006–2014, a model for significant wave height was calibrated separately for those locations; using wind forcing data from Estonian coastal meteorological stations, a set of hourly hindcasts were obtained over the period from September 2003 to December 2014. Fourier analysis of monthly time series with regard to both average wave conditions and high wave events showed a distinct seasonality with specific amplitudes and the phases that differed by about a month between the locations. In addition, spectra of hourly time series indicated diurnal variations (24 and 12 h harmonics) and a consistent background noise following – 5/3 power law between the periods of 2 h and 4 days. Deseasonalized monthly data were used to analyse trends and extreme deviations (wavestorms). The possible trends, being obviously parts of longer variations, were not statistically significant over the studied 11 years. The lists of the most outstanding storms were different depending on the site.http://www.kirj.ee/public/Estonian_Journal_of_Earth_Sciences/2015/issue_4/earth-2015-4-289-304.pdfwave modellingwave measurementsfetchstormswind climateBaltic Sea.
collection DOAJ
language English
format Article
sources DOAJ
author Ülo Suursaar
spellingShingle Ülo Suursaar
Analysis of wave time series in the Estonian coastal sea in 2003–2014
Estonian Journal of Earth Sciences
wave modelling
wave measurements
fetch
storms
wind climate
Baltic Sea.
author_facet Ülo Suursaar
author_sort Ülo Suursaar
title Analysis of wave time series in the Estonian coastal sea in 2003–2014
title_short Analysis of wave time series in the Estonian coastal sea in 2003–2014
title_full Analysis of wave time series in the Estonian coastal sea in 2003–2014
title_fullStr Analysis of wave time series in the Estonian coastal sea in 2003–2014
title_full_unstemmed Analysis of wave time series in the Estonian coastal sea in 2003–2014
title_sort analysis of wave time series in the estonian coastal sea in 2003–2014
publisher Estonian Academy Publishers
series Estonian Journal of Earth Sciences
issn 1736-4728
1736-7557
publishDate 2015-11-01
description Statistics of hindcast wave series were studied at eight differently exposed fetch-limited Estonian coastal sea locations (Harilaid, Kihnu, Kõiguste, Matsi, Neugrund, Sundgrund, Suurupi and Letipea). Based on episodic wave measurements obtained with the bottom mounted Recording Doppler Current Profiler in 2006–2014, a model for significant wave height was calibrated separately for those locations; using wind forcing data from Estonian coastal meteorological stations, a set of hourly hindcasts were obtained over the period from September 2003 to December 2014. Fourier analysis of monthly time series with regard to both average wave conditions and high wave events showed a distinct seasonality with specific amplitudes and the phases that differed by about a month between the locations. In addition, spectra of hourly time series indicated diurnal variations (24 and 12 h harmonics) and a consistent background noise following – 5/3 power law between the periods of 2 h and 4 days. Deseasonalized monthly data were used to analyse trends and extreme deviations (wavestorms). The possible trends, being obviously parts of longer variations, were not statistically significant over the studied 11 years. The lists of the most outstanding storms were different depending on the site.
topic wave modelling
wave measurements
fetch
storms
wind climate
Baltic Sea.
url http://www.kirj.ee/public/Estonian_Journal_of_Earth_Sciences/2015/issue_4/earth-2015-4-289-304.pdf
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