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首页> 外文期刊>Fortschritte der Physik >Testing marine data assimilation in the northeastern Baltic using satellite SST products from the Copernicus Marine Environment Monitoring Service
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Testing marine data assimilation in the northeastern Baltic using satellite SST products from the Copernicus Marine Environment Monitoring Service

机译:使用来自Copernicus Marine环境监测服务的卫星SST产品测试东北波罗的海的海洋数据同化

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Satellite SST products from the Copernicus Marine Environment Service were tested for data assimilation in the sub-regional marine forecasts. The sub-regional setup of the HBM model was used in the northeastern Baltic, covering also the Gulf of Finland and the Gulf of Riga. Two assimilation methods - successive corrections and optimal interpolation - were implemented on the daily forecasts from April to December 2015. Independent daily FerryBox data from the ship track between Tallinn and Helsinki were used for validation. Higher SST forecast errors of the reference model were found near the shallower northwestern coasts. During the calm heating period in spring and early summer, the reference model produced in these regions too warm waters compared with the satellite and FerryBox observations. Too cold waters, compared to the observations, were modelled during the cooling period from late summer to winter. Although data assimilation reduced these errors, improving the treatment of coastal-offshore exchange in the core forecast model would be useful.
机译:从哥白尼海洋环境服务中测试了卫星SST产品,以便在次区域海洋预测中进行数据同化。 HBM模型的次区域设置用于东北波罗的海,涵盖芬兰湾和里加湾。两种同化方法 - 连续更正和最佳插值 - 是在2015年4月至12月的日常预测上实施的。塔林和赫尔辛基之间的船舶轨道的独立日常渡轮数据用于验证。在浅滩西北海岸附近发现了参考模型的较高的SST预测误差。在春季和初夏的平静加热期间,与卫星和渡轮观测相比,这些区域产生的参考模型过热水域。与观察结果相比,太冷的水域在夏季到冬季的冷却期间被建模。虽然数据同化减少了这些错误,但提高了核心预测模型中的沿海交换的治疗将是有用的。

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