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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >A probabilistic approach to ship voyage reconstruction in ICOADS
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A probabilistic approach to ship voyage reconstruction in ICOADS

机译:ICOADS 中船舶航程重建的概率方法

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The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) provides the main archive for surface marine observations for the past approximately 150 years. ICOADS ship identifier (ID) information is often missing or unusable, preventing the linking of reports to an individual ship. A method for the reconstruction of ship voyages in ICOADS is presented, by which groups of reports can be associated with an individual ship or ship track. The method defines a function representing the probability density function (pdf) of any particular report being associated with a group of reports. The parameters of the pdf are calculated from the ship data themselves, giving the likely variation of a ship report perpendicular to its overall direction of travel. For groups of reports with ID information, the PDF is used to associate reports without ID information with the known-ID track. Reports without ID information are then clustered together to form the most probable track. Results are shown for the period 1855-1969. Both the percentage of reports associated with tracks and the length of those tracks increase substantially following tracking. Initial validation of the results was performed by visual inspection: the model implementation was then refined to improve the results. Confidence in the tracking is increased by a demonstration that the method clusters together reports with similar sea surface temperature characteristics. Issues in the data were found to be one of the main challenges in implementing the tracking technique. Particular problems encountered included the coarse resolution of some position information; reports that were mispositioned in either space or time; unidentified duplicate reports; and the fragmentation of voyages between different ICOADS acquisition sources. Some of these effects could be ameliorated by pre-processing of ICOADS reports, however a full reprocessing of the historical input sources to ICOADS would be required to make further improvements.
机译:国际综合海洋-大气数据集(ICOADS)提供了过去大约150年表层海洋观测的主要档案。ICOADS 船舶识别码 (ID) 信息经常丢失或无法使用,从而无法将报告链接到单个船舶。提出了一种在ICOADS中重建船舶航行的方法,通过该方法,可以将报告组与单个船舶或船舶轨迹相关联。该方法定义了一个函数,表示与一组报告关联的任何特定报告的概率密度函数 (pdf)。pdf 的参数是根据船舶数据本身计算得出的,给出了船舶报告垂直于其整体行进方向的可能变化。对于包含 ID 信息的报告组,PDF 用于将没有 ID 信息的报告与已知 ID 轨迹相关联。然后,没有 ID 信息的报告将聚类在一起,形成最可能的跟踪。显示了 1855-1969 年期间的结果。跟踪后,与跟踪关联的报告百分比和这些跟踪的长度都会大幅增加。通过目视检查对结果进行初步验证:然后对模型实现进行改进以改进结果。通过证明该方法将具有相似海面温度特征的报告聚类在一起,可以提高跟踪的可信度。数据中的问题是实施跟踪技术的主要挑战之一。遇到的具体问题包括:某些位置信息的分辨率很粗略;在空间或时间上定位错误的报告;身份不明的重复报告;以及不同ICOADS采购来源之间的航程碎片化。通过对ICOADS报告进行预处理,可以改善其中一些影响,但是,需要对ICOADS的历史输入来源进行全面再处理,以进一步改进。

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