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NUMERICAL SIMULATIONS OF SEA ICE CONDITIONS IN THE BALTIC SEA FOR 2010–2016 WINTERS USING THE 3D CEMBS MODEL

Abstract

Sea ice conditions in the Baltic Sea during six latest winters – 2010/2011 to 2015/2016 are analysed using coupled ice–ocean numerical model 3D CEMBS (3D Coupled Ecosystem Model of the Baltic Sea). Simulation results are compared with observations from monitoring stations, ice charts and satellite data. High correlation between model results and observations has been confirmed both in terms of spatial and temporal approach. The analysed period has a high interannual variability of ice extent, the number of ice days and ice thickness. Increasing number of relatively mild winters in the Northern Europe directly associated with climate change results in reduced ice concentration in the Baltic Sea. In this perspective, the implementation and development of the sea ice modelling approach (in addition to standard monitoring techniques) is critical to assess current state of the Baltic Sea environment and predict possible climate related changes in the ecosystem and their influence for human marine–related activities, such as fishery or transportation.

Keywords:

Baltic Sea, sea ice, numerical modelling, remote sensing, climate change

Details

Issue
Vol. 25 No. 3(99) (2018)
Section
Latest Articles
Published
23-10-2018
DOI:
https://doi.org/10.2478/pomr-2018-0094
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Open Access License

This journal provides immediate open access to its content under the Creative Commons BY 4.0 license. Authors who publish with this journal retain all copyrights and agree to the terms of the CC BY 4.0 license.

 

Authors

  • Maciej Janecki

    Institute of Oceanology, Polish Academy of Sciences
  • Artur Nowicki

    Institute of Oceanology, Polish Academy of Sciences
  • Alicja Kańska

    Institute of Meteorology and Water Management National Research Institute, Maritime Branch, Hydrological Forecasting Office
  • Maria Golenko

    P.P. Shirshov Institute of Oceanology, Atlantic Branch
  • Lidia Dzierzbicka-Głowacka

    Institute of Oceanology, Polish Academy of Sciences

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