Characterization of summer Arctic sea ice morphology in the 135°–175°W sector using multi-scale methods

Lei, Ruibo; Tian-Kunze, Xiangshan; Li, Bingrui; Heil, P̀etra; Wang, Jia; Zeng, Jian; Tian, Zhongxiang

doi:10.1016/j.coldregions.2016.10.009

Cited by 24 publications

(16 citation statements)

References 29 publications

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“…The loss of Arctic sea ice extent has been most remarkable in summer, with the Arcticwide melt season having been lengthened at a rate of 5 d/10 yr during 1979-2013 (Stroeve et al 2014). Regionally, the most obvious retreat of Arctic sea ice has occurred in the Pacific sector during the summer (Xia, Xie, and Ke 2014;Lei et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Overview of the 9th Chinese National Arctic Research Expedition

Wei

Chen

Lei

et al. 2019

Atmospheric and Oceanic Science Letters

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The 9th Chinese National Arctic Research Expedition was carried out from 20 July to 26 September 2018. The expedition was successful in undertaking multidisciplinary comprehensive surveys in the fields of physical oceanography, marine meteorology, sea ice, marine chemistry, marine biology, marine ecology, geology, and geophysics in the Bering Sea, Chukchi Sea, Chukchi Plateau, Mendeleev Ridge, and Canada Basin. This paper gives an overview of the main achievements of this expedition and highlights the scientific achievements.

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Section: Introductionmentioning

confidence: 99%

Overview of the 9th Chinese National Arctic Research Expedition

Wei

Chen

Lei

et al. 2019

Atmospheric and Oceanic Science Letters

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“…Several methods are available for shipborne observations. The visual observation (V-OBS) aboard a vessel is a direct way to record SIC along the cruise transect, according to the protocol of the Antarctic Sea Ice Processes and Climate program (ASPeCt) or the Arctic Shipborne Sea Ice Standardization Tool (ASSIST) standard, and V-OBS has been carried out extensively on expeditions in the Polar Regions [26][27][28][29][30]. Ozsoy-Cicek et al [31] compared NT2 and Bootstrap SIC based on AMSR-E data with V-OBS SIC in Antarctica, and found that in general the NT2 algorithm produces slightly higher SIC measurements than the Bootstrap algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, ranking of the PM SIC algorithms is necessary for choosing an optimal option to guide ice navigation. Although a few studies have reported the differences between PM and shipborne SIC along a cruise path in the Arctic [28][29][30]42], very few ones have adopted an objective method, such as P-OBS.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Passive Microwave Data with Shipborne Photographic Observations of Summer Sea Ice Concentration along an Arctic Cruise Path

Wang

Lü

et al. 2019

Remote Sensing

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Arctic sea ice concentration (SIC) has been studied extensively using passive microwave (PM) remote sensing. This technology could be used to improve navigation along vessel cruise paths; however, investigations on this topic have been limited. In this study, shipborne photographic observation (P-OBS) of sea ice was conducted using oblique-oriented cameras during the Chinese National Arctic Research Expedition in the summer of 2016. SIC and the areal fractions of open water, melt ponds, and sea ice (Aw, Ap, and Ai, respectively) were determined along the cruise path. The distribution of SIC along the cruise path was U-shaped, and open water accounted for a large proportion of the path. The SIC derived from the commonly used PM algorithms was compared with the moving average (MA) P-OBS SIC, including Bootstrap and NASA Team (NT) algorithms based on Special Sensor Microwave Imager/Sounder (SSMIS) data; and ARTIST sea ice, Bootstrap, Sea Ice Climate Change Initiative, and NASA Team 2 (NT2) algorithms based on Advanced Microwave Scanning Radiometer 2 (AMSR2) data. P-OBS performed better than PM remote sensing at detecting low SIC (< 10%). Our results indicate that PM SIC overestimates MA P-OBS SIC at low SIC, but underestimates it when SIC exceeds a turnover point (TP). The presence of melt ponds affected the accuracy of the PM SIC; the PM SIC shifted from an overestimate to an underestimate with increasing Ap, compared with MA P-OBS SIC below the TP, while the underestimation increased above the TP. The PM algorithms were then ranked; SSMIS-NT and AMSR2-NT2 are the best and worst choices for Arctic navigation, respectively.

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“…With the rapid increased various applications in the Arctic in recent years, an increasing amount of ocean observation equipment, such as underwater unmanned vehicle, is being used to study the physical and biological processes of the Arctic Ocean below the ice cover (Lei et al, 2017). However, because the thick Arctic sea ice cover prevents underwater platforms from communicating with satellites, data transmission under sea ice makes use of acoustic communication.…”

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Exploring the Arctic Ocean under Arctic amplification

Lei

Wei

2020

Acta Oceanol. Sin.

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Arctic sea ice extent has decreased considerably mostly as a result of atmospheric and ocean warming. Sea ice decline is present in all months, and is the highest in September with a rate of 12.8% per decade since 1979 (Fetterer et al., 2017). The oldest ice, defined as ice that is more than 4 years old, is also normally the thickest ice. The percentage of the oldest ice in the March has reduced by 95%

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Characterization of summer Arctic sea ice morphology in the 135°–175°W sector using multi-scale methods

Cited by 24 publications

References 29 publications

Overview of the 9th Chinese National Arctic Research Expedition

Overview of the 9th Chinese National Arctic Research Expedition

Comparison of Passive Microwave Data with Shipborne Photographic Observations of Summer Sea Ice Concentration along an Arctic Cruise Path

Exploring the Arctic Ocean under Arctic amplification

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