Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.4492 |
A probabilistic approach to ship voyage reconstruction in ICOADS | |
Carella, Giulia; Kent, Elizabeth C.; Berry, David I. | |
2017-04-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2017 |
卷号 | 37期号:5 |
文章类型 | Article;Proceedings Paper |
语种 | 英语 |
国家 | England |
英文摘要 | 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. |
英文关键词 | marine meteorological data ship data voyage tracking ocean climate climate change sea surface temperature |
领域 | 气候变化 |
收录类别 | SCI-E ; ISTP |
WOS记录号 | WOS:000398859700003 |
WOS关键词 | ESTIMATING CLIMATIC TRENDS ; SURFACE-TEMPERATURE ; REANALYSIS PROJECT ; DATA SET ; PART I ; UNCERTAINTY ; DATASET ; SST ; ERRORS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/36592 |
专题 | 气候变化 |
作者单位 | Natl Oceanog Ctr, Marine Phys & Ocean Climate, Southampton, Hants, England |
推荐引用方式 GB/T 7714 | Carella, Giulia,Kent, Elizabeth C.,Berry, David I.. A probabilistic approach to ship voyage reconstruction in ICOADS[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2017,37(5). |
APA | Carella, Giulia,Kent, Elizabeth C.,&Berry, David I..(2017).A probabilistic approach to ship voyage reconstruction in ICOADS.INTERNATIONAL JOURNAL OF CLIMATOLOGY,37(5). |
MLA | Carella, Giulia,et al."A probabilistic approach to ship voyage reconstruction in ICOADS".INTERNATIONAL JOURNAL OF CLIMATOLOGY 37.5(2017). |
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