Improving Baltic Sea wave forecasts using modelled surface currents

被引:0
|
作者
Hedi Kanarik
Laura Tuomi
Jan-Victor Björkqvist
Tuomas Kärnä
机构
[1] Finnish Meteorological Institute,
来源
Ocean Dynamics | 2021年 / 71卷
关键词
Baltic Sea; Wave-current interactions; WAM; NEMO; Gulf of Finland;
D O I
暂无
中图分类号
学科分类号
摘要
Currents in the Baltic Sea are generally weak, but during strong winds they can grow high enough to affect the surface wave propagation and evolution. To evaluate the significance of wave-current interactions in the Baltic Sea, we conducted a study using the wave model WAM, comparing a run without surface currents to one with current forcing from a NEMO hydrodynamical model simulation. The overall changes to the wave field caused by currents were quite small. Changes of over 10 cm in significant wave height (SWH) or 1 s in the peak period (Tp) occurred only in some areas and typically less than 3% of the time. Current refraction changed the SWH annual mean by up to 2 cm, but changes up to 60 cm were seen in the maximum values. Tp had occasionally large changes due to shifts in the peak energy in two-peaked swell and wind-sea spectra. Including currents typically led to a stronger changes in swell energy compared to the changes in wind sea energy. A comparison with a wave buoy in the Gulf of Finland showed that this change in the swell energy improved the accuracy of the simulation in this narrow gulf. Current-induced refraction was most prominent near the coastal areas, where current speed occasionally exceeded 0.3 m/s. In general, SWH decreased in the coastal areas with strong currents and slightly increased in adjacent open sea areas. The current effects were most frequent in the Gulf of Finland, the Western Gotland Basin and the Åland Sea.
引用
收藏
页码:635 / 653
页数:18
相关论文
共 50 条
  • [1] Improving Baltic Sea wave forecasts using modelled surface currents
    Kanarik, Hedi
    Tuomi, Laura
    Bjorkqvist, Jan-Victor
    Karna, Tuomas
    [J]. OCEAN DYNAMICS, 2021, 71 (6-7) : 635 - 653
  • [2] Surface Stokes drift in the Baltic Sea based on modelled wave spectra
    Laura Tuomi
    Olga Vähä-Piikkiö
    Pekka Alenius
    Jan-Victor Björkqvist
    Kimmo K. Kahma
    [J]. Ocean Dynamics, 2018, 68 : 17 - 33
  • [3] Surface Stokes drift in the Baltic Sea based on modelled wave spectra
    Tuomi, Laura
    Vaha-Piikkio, Olga
    Alenius, Pekka
    Bjorkqvist, Jan-Victor
    Kahma, Kimmo K.
    [J]. OCEAN DYNAMICS, 2018, 68 (01) : 17 - 33
  • [4] Better Baltic Sea wave forecasts: improving resolution or introducing ensembles?
    Schmith, Torben
    Nielsen, Jacob Woge
    Rasmussen, Till Andreas Soya
    Feddersen, Henrik
    [J]. OCEAN SCIENCE, 2018, 14 (06) : 1435 - 1447
  • [5] Wave forecasts for the Baltic Sea using ECMWF wind fields as forcing data
    Tuomi, Laura
    Sarkanen, Annakaisa
    [J]. 2008 IEEE/OES US/EU-BALTIC INTERNATIONAL SYMPOSIUM, 2008, : 286 - +
  • [6] A comparison of Baltic Sea wave properties simulated using two modelled wind data sets
    Giudici, Andrea
    Jankowski, Mikolaj Zbigniew
    Mannikus, Rain
    Najafzadeh, Fatemeh
    Suursaar, Ulo
    Soomere, Tarmo
    [J]. ESTUARINE COASTAL AND SHELF SCIENCE, 2023, 290
  • [7] Influence of the parametrization of water optical properties on the modelled sea surface temperature in the Baltic Sea
    Stramska, Malgorzata
    Zuzewicz, Agata
    [J]. OCEANOLOGIA, 2013, 55 (01) : 53 - 76
  • [8] Improving the sea state forecasts by using local wave observations and the ensembleBMA software
    Kokina, Tatjana
    Pelaez-Zapata, Daniel Santiago
    Murphy, Thomas Brendan
    Dias, Frederic
    [J]. ENVIRONMENTAL DATA SCIENCE, 2023, 2
  • [9] Extrapolating Eulerian ocean currents for improving surface drift forecasts
    Tamtare, T.
    Dumont, D.
    Chavanne, C.
    [J]. JOURNAL OF OPERATIONAL OCEANOGRAPHY, 2021, 14 (01) : 71 - 85
  • [10] Measurements of Sea Surface Currents in the Baltic Sea Region Using Spaceborne Along-Track InSAR
    Elyouncha, Anis
    Eriksson, Leif E. B.
    Romeiser, Roland
    Ulander, Lars M. H.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (11): : 8584 - 8599