首页> 外文期刊>Estonian Academy of Sciences. Proceedings >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:使用哥白尼海洋环境监测局的卫星SST产品测试波罗的海东北部的海洋数据同化

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Satellite SST products from the Copernicus Marine Environment Service were tested for data assimilation in thesub-regional marine forecasts. The sub-regional setup of the HBM model was used in the northeastern Baltic, covering alsothe Gulf of Finland and the Gulf of Riga. Two assimilation methods – successive corrections and optimal interpolation – wereimplemented on the daily forecasts from April to December 2015. Independent daily FerryBox data from the ship track betweenTallinn and Helsinki were used for validation. Higher SST forecast errors of the reference model were found near the shallowernorthwestern coasts. During the calm heating period in spring and early summer, the reference model produced in these regionstoo warm waters compared with the satellite and FerryBox observations. Too cold waters, compared to the observations, weremodelled during the cooling period from late summer to winter. Although data assimilation reduced these errors, improving thetreatment of coastal–offshore exchange in the core forecast model would be useful.
机译:对哥白尼海洋环境服务公司的卫星SST产品进行了测试,以进行次区域海洋预报中的数据同化。 HBM模型的分区设置在波罗的海东北部使用,覆盖了芬兰湾和里加湾。在2015年4月至2015年12月的每日天气预报中采用了两种同化方法,即连续校正和最优插值。使用塔林和赫尔辛基之间航迹的独立FerryBox每日数据进行验证。在浅西部西北海岸附近发现了参考模型较高的海表温度预报误差。在春季和夏季初的平静供暖期间,与卫星和FerryBox观测相比,这些地区产生的参考模型温度太高。与观测值相比,太冷的水是在夏末至冬季的冷却期间建模的。尽管数据同化减少了这些错误,但在核心预测模型中改进对沿海-近海交换的处理将是有用的。

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