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Thinner Sea Ice Contribution to the Remarkable Polynya Formation North of Greenland in August 2018
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作者 xiaoyi SHEN Chang-Qing KE +4 位作者 Bin CHENG wentao xia Mengmeng LI Xuening YU Haili LI 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2021年第9期1474-1485,共12页
In August 2018,a remarkable polynya was observed off the north coast of Greenland,a perennial ice zone where thick sea ice cover persists.In order to investigate the formation process of this polynya,satellite observa... In August 2018,a remarkable polynya was observed off the north coast of Greenland,a perennial ice zone where thick sea ice cover persists.In order to investigate the formation process of this polynya,satellite observations,a coupled iceocean model,ocean profiling data,and atmosphere reanalysis data were applied.We found that the thinnest sea ice cover in August since 1978(mean value of 1.1 m,compared to the average value of 2.8 m during 1978-2017) and the modest southerly wind caused by a positive North Atlantic Oscillation(mean value of 0.82,compared to the climatological value of-0.02) were responsible for the formation and maintenance of this polynya.The opening mechanism of this polynya differs from the one formed in February 2018 in the same area caused by persistent anomalously high wind.Sea ice drift patterns have become more responsive to the atmospheric forcing due to thinning of sea ice cover in this region. 展开更多
关键词 POLYNYA sea ice thickness wind sea ice drift GREENLAND
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Visual acuity evaluated by pattern-reversal visual-evoked potential is affected by check size/visual angle 被引量:1
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作者 Xiping Chen Qianqian Li +3 位作者 xiaoqin Liu Li Yang wentao xia Luyang Tao 《Neuroscience Bulletin》 SCIE CAS CSCD 2012年第6期737-745,共9页
Objective To systemically explore the range of visual angles that affect visual acuity, and to establish the relationship between the P 1 component (peak latency -100 ms) of the pattern-reversal visual-evoked potent... Objective To systemically explore the range of visual angles that affect visual acuity, and to establish the relationship between the P 1 component (peak latency -100 ms) of the pattern-reversal visual-evoked potential (PRVEP) and the visual acuity at particular visual angles. Methods Two hundred and ten volunteers were divided into seven groups, according to visual acuity as assessed by the standard logarithmic visual acuity chart (SLD-II). For each group, the PRVEP components were elicited in response to visual angle presentations at 8°, 4°, 2°, 1°/60', 30', 15', and 7.5', in the whiteblack chess-board reversal mode with a contrast level of 100% at a frequency of 2 Hz. Visual stimuli were presented monocularly, and 200 presentations were averaged for each block of trials. The early and stable component P1 was recorded at the mid-line of the occipital region (Oz) and analyzed with SPSS 13.00. Results (1) Oz had the maximum Pl amplitude; there was no significant difference between genders or for interocular comparison in normal controls and subjects with optic myopia. (2) The P1 latency decreased slowly below 30', then increased rapidly. The P1 amplitude initially increased with check size, and was maximal at -1° and -30'. (3) The P1 latency in the group with visual acuity 〈0.2 was signifi- cantly different at 8°, 15' and 7.5', while the amplitude differed at all visual angles, compared with the group with normal vision. Differences in P1 for the groups with 0.5 and 0.6 acuity were only present at visual angles 〈1°. (4) Regression analysis showed that the P1 latency and amplitude were associated with visual acuity over the full range of visual angles. There was a moderate correlation at visual angles 〈30'. Regression equations were calculated for the P1 components and visual acuity, based on visual angle. Conclusion (1) Visual angle should be taken into consideration when exploring the function of the visual pathway, especially visual acuity. A visual angle -60' might be appropriate when using PRVEP com- ponents to evaluate poor vision and to identify malingerers. (2) Increased P1 amplitude and decreased P1 latency were as- sociated with increasing visual acuity, and the P1 components displayed a linear correlation with visual acuity, especially in the range of optimal visual angles. Visual acuity can be deduced from P 1 based on visual angle. 展开更多
关键词 visual acuity visual angle pattern-reversal visual-evoked potential check size regression equation
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