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Ice and AIS: ship speed data and sea ice forecasts in the Baltic Sea

机译:冰和AIS:波罗的海的船速数据和海冰预报

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The Baltic Sea is a seasonally ice-covered marginal sea located in a densely populated area in northern Europe. Severe sea ice conditions have the potential to hinder the intense ship traffic considerably. Thus, sea ice fore- and nowcasts are regularly provided by the national weather services. Typically, the forecast comprises several ice properties that are distributed as prognostic variables, but their actual usefulness is difficult to measure, and the ship captains must determine their relative importance and relevance for optimal ship speed and safety ad hoc. The present study provides a more objective approach by comparing the ship speeds, obtained by the automatic identification system (AIS), with the respective forecasted ice conditions. We find that, despite an unavoidable random component, this information is useful to constrain and rate fore- and nowcasts. More precisely, 62–67% of ship speed variations can be explained by the forecasted ice properties when fitting a mixed-effect model. This statistical fit is based on a test region in the Bothnian Sea during the severe winter 2011 and employs 15 to 25 min averages of ship speed.
机译:波罗的海是季节性冰雪覆盖的边缘海,位于北欧人口稠密的地区。严酷的海冰条件可能会极大地阻碍船舶的繁忙通行。因此,国家气象部门定期提供海冰预报和临近预报。通常,预测包括作为预后变量分布的多个冰属性,但是它们的实际有用性难以衡量,并且船长必须确定它们的相对重要性和相关性,以实现最佳的船速和安全性。 本研究通过将自动识别系统(AIS)获得的船速与各自的预测冰况进行比较,从而提供了一种更为客观的方法。我们发现,尽管不可避免地会出现随机成分,但此信息对于约束和评估前预报和临近预报很有用。更准确地说,当拟合混合效应模型时,可以通过预测的冰属性来解释船速变化的62-67%。该统计拟合基于2011年严冬期间在博特尼亚海的一个测试区域,并使用了平均15至25分钟的船速。

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