Journalartikel

Spatial analyses of 52 years of modelled sea state data for the Western Baltic Sea and their potential applicability for offshore and nearshore construction purposes


AutorenlisteSiewert, Marcus; Schlamkow, Christian; Saathoff, Fokke

Jahr der Veröffentlichung2015

Seiten284-294

ZeitschriftOcean Engineering

Bandnummer96

ISSN0029-8018

DOI Linkhttps://doi.org/10.1016/j.oceaneng.2014.12.029

VerlagElsevier


Abstract
The present paper contains statistical analysis of modelled sea state data for the Western Baltic Sea for a time period of 52 years. Twenty charts were created, showing mean wave heights and frequencies of occurrence for different seasons. Taking a closer look at three potential areas for offshore wind energy in the Western Baltic the following mean significant wave heights were calculated (from west to east): Fehmarnbelt 0.6 m, Kadet Furrow 0.7 m and Arkona Basin 0.9 m. A comparison with waverider buoy measurements at five locations for different time series proves the good quality of the modelled data. These charts impart detailed information on the sea state from a spatial and temporal perspective which can be utilized by a wide range of users from different backgrounds. An exemplary monthly analysis of one location shows the possible application of the data set. (C) 2015 Elsevier Ltd. All rights reserved.



Zitierstile

Harvard-ZitierstilSiewert, M., Schlamkow, C. and Saathoff, F. (2015) Spatial analyses of 52 years of modelled sea state data for the Western Baltic Sea and their potential applicability for offshore and nearshore construction purposes, Ocean Engineering, 96, pp. 284-294. https://doi.org/10.1016/j.oceaneng.2014.12.029

APA-ZitierstilSiewert, M., Schlamkow, C., & Saathoff, F. (2015). Spatial analyses of 52 years of modelled sea state data for the Western Baltic Sea and their potential applicability for offshore and nearshore construction purposes. Ocean Engineering. 96, 284-294. https://doi.org/10.1016/j.oceaneng.2014.12.029



Schlagwörter


Sea state analysisWAVE CLIMATEWave statistics

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