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Numerical Simulations of Sea Ice Conditions in the Baltic Sea for 2010a??2016 Winters Using the 3D CEMBS Model

机译:使用3D CEMBS模型对2010a ?? 2016年冬季波罗的海海冰状况进行数值模拟

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Sea ice conditions in the Baltic Sea during six latest winters a?? 2010/2011 to 2015/2016 are analysed using coupled icea??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 marinea??related activities, such as fishery or transportation.
机译:最近六个冬季,波罗的海的海冰状况如何?使用耦合冰洋数值模型3D CEMBS(波罗的海3D耦合生态系统模型)分析了2010/2011至2015/2016。将模拟结果与监测站,冰图和卫星数据的观测结果进行比较。无论是在时空方法上,都已经证实了模型结果与观测值之间的高度相关性。分析期的冰度,冰天数和冰厚度的年际变化很大。与气候变化直接相关的北欧相对温和的冬季数量增加,导致波罗的海的冰层浓度降低。从这个角度来看,海冰建模方法的实施和发展(除标准监测技术外)对于评估波罗的海环境的现状以及预测生态系统中可能与气候有关的变化及其对人类海洋的影响至关重要。相关活动,例如渔业或运输。

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