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Tracing the Drift Ice Using the Particle Tracking Method in the Arctic Ocean

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dc.contributor.authorPark, GwangSeob-
dc.contributor.authorKim, Hyun-cheol-
dc.contributor.authorLee, Taehee-
dc.contributor.authorSon, Young Baek-
dc.date.accessioned2020-10-19T02:49:10Z-
dc.date.available2020-10-19T02:49:10Z-
dc.date.issued2018-12-
dc.identifier.urihttps://repository.kopri.re.kr/handle/201206/10817-
dc.description.abstractIn this study, we analyzed distribution and movement trends using in-situ observations and particle tracking methods to understand the movement of the drift ice in the Arctic Ocean. The in-situ movement data of the drift ice in the Arctic Ocean used ITP (Ice-Tethered Profiler) provided by NOAA (National Oceanic and Atmospheric Administration) from 2009 to 2018, which was analyzed with the location and speed for each year. Particle tracking simulates the movement of the drift ice using daily current and wind data provided by HYCOM (Hybrid Coordinate Ocean Model) and ECMWF (European Centre for Medium-Range Weather Forecasts, 2009-2017). In order to simulate the movement of the drift ice throughout the Arctic Ocean, ITP data, a field observation data, were used as input to calculate the relationship between the current and wind and follow up the Lagrangian particle tracking. Particle tracking simulations were conducted with two experiments taking into account the effects of current and the combined effects of current and wind, most of which were reproduced in the same way as in-situ observations, given the effects of currents and winds. The movement of the drift ice in the Arctic Ocean was reproduced using a wind-imposed equation, which analyzed the movement of the drift ice in a particular year. In 2010, the Arctic Ocean Index (AOI) was a negative year, with particles clearly moving along the Beaufort Gyre, resulting in relatively large movements in Beaufort Sea. On the other hand, in 2017 AOI was a positive year, with most particles not affected by Gyre, resulting in relatively low speed and distance. Around the pole, the speed of the drift ice is lower in 2017 than 2010. From seasonal characteristics in 2010 and 2017, the movement of the drift ice increase in winter 2010 (0.22 m/s) and decrease to spring 2010 (0.16 m/s). In the case of 2017, the movement is increased in summer (0.22 m/s) and decreased to spring time (0.13 m/s). As a result, the particle tracking method will be appropriate to understand long-term drift ice movement trends by linking them with satellite data in place of limited field observations.en_US
dc.languageKoreanen_US
dc.language.isokoen_US
dc.subjectScience & Technology - Other Topicsen_US
dc.subject.classification기타(극지원격탐사자료활용)en_US
dc.titleTracing the Drift Ice Using the Particle Tracking Method in the Arctic Oceanen_US
dc.title.alternative북극해에서 입자추적 방법을 이용한 유빙 추적 연구en_US
dc.typeArticleen_US
dc.identifier.bibliographicCitationPark, GwangSeob, et al. 2018. "Tracing the Drift Ice Using the Particle Tracking Method in the Arctic Ocean". <em>Korean Journal of Remote Sensing</em>, 34(6-2): 1299-1310.-
dc.citation.titleKorean Journal of Remote Sensingen_US
dc.citation.volume34en_US
dc.citation.number6-2en_US
dc.identifier.doi10.7780/kjrs.2018.34.6.2.13-
dc.citation.startPage1299en_US
dc.citation.endPage1310en_US
dc.description.articleClassificationKCI등재-
dc.description.jcrRateJCR 2016:0en_US
dc.subject.keywordDrifting Iceen_US
dc.subject.keywordParticle Trackingen_US
dc.subject.keywordThe Arctic Oceanen_US
dc.subject.keywordITPen_US
dc.identifier.localId2018-0425-
Appears in Collections  
2018-2018, Research on analytical technique for satellite observation of Arctic sea ice (18-18) / Kim, Hyun-cheol (PE18120)
2017-2018, Research on analytical technique for satellite observation of Arctic sea ice (17-18) / Kim, Hyun-cheol (PE17120; PE18120)
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