Seasonal and inter-annual variations of the primary types of the Arctic sea-ice drifting patterns

Abstract Monthly mean sea ice motion vectors and monthly mean sea level pressure （SLP） for the period of 1979-2006 are investigated to understand the spatial and temporal changes of Arctic sea-ice drift. According to the distinct differences in monthly mean ice velocity field as well as in the distribution of SLP, there are four primary types in the Arctic Ocean： Beaufort Gyre＋Transpolar Drift, Anticyclonic Drift, Cyclonic Drift and Double Gyre Drift. These four types account for 81% of the total, and reveal distinct seasonal variations. The Cyclonic Drift with a large-scale anticlockwise ice motion pattern trends to prevail in summer while the Anticyclonic Drift with an opposite pattern trends to prevail in winter and spring. The prevailing seasons for the Beaufort Gyre＋Transpolar Drift are spring and autumn, while the Double Gyre Drift trends to prevail in winter, especially in Feb- ruary. The annual occurring times of the Anticyclonic Drift and the Cyclonic Drift are closely correlated with the yearly mean Arc- tic Oscillation （AO） index, with a correlation coefficient of -0.54 and 0.54 （both significant with the confident level of 99%）, re- spectively. When the AO index stays in a high positive （negative） condition, the sea-ice motion in the Arctic Ocean demonstrates a more anticlockwise （clockwise） drifting pattern as a whole. When the AO index stays in a neutral condition, the sea-ice motion becomes much more complicated and more transitional types trend to take place.     

Composition and distribution of fish species collected during the fourth Chinese National Arctic Research Expedition in 2010

There are awareness and concerns caused by the decreasing sea ice coverage around the Arctic and Antarctic due to effects of climate change. Emphasis in this study was on rapid changes in Arctic sea ice coverage and its impacts on the marine ecology during the fourth Chinese National Arctic Research Expedition in 2010. Our purpose was to establish a baseline of Arctic fish compositions, and consequent effects of climate change on the fish community and biogeography. Fish specimens were col- lected using a multinet middle-water trawl, French-type beam trawl, otter trawl, and triangular bottom trawl. In total, 36 tows were carried out along the shelf of the Bering Sea, Bering Strait, and Chukchi Sea in the Arctic Ocean. in total, 41 fish species belonging to 14 families in 7 orders were collected during the expedition. Among them, the Scorpaeniformes, including 17 species, accounted for almost one third of the total number （34.8%）, followed by 14 species of the Perciformes （27.0%）, 5 species of the Pleuronecti- formes （22.3%）, and 2 species of the Gadiformes （15.4%）. The top 6 most abundant species were Hippoglossoides robustus, Bore- gadus saida, Myoxocephalus scorpius, Lumpenus fabricii, Artediellus scaber, and Gymnoeanthus trieuspis. Abundant species var- ied according to the different fishing methods; numbers of families and species recorded did not differ with the various fishing methods; species and abundances decreased with depth and latitude; and species extending over their known geographic ranges were observed during the expedition. Station information, species list, and color photographs of all fishes are provided.     

Influence of sea ice and sea surface temperature on the abundance of Antarctic krill in Area 48.2

In this paper we examine the relationship between Antarctic krill catch, sea ice concentration, and sea surface tempera- ture （SST）. Data on the Antarctic krill catch from 2003 to 2010 in CCAMLR Area 48.2 were combined with sea ice and SST data. Results showed that krill fishing in Area 48.2 took place from February to August each year but the catch was concentrated from March to July, with production during this period accounting for about 99.3% of the annual catch. Regression analysis showed that the catch per unit effort （CPUE） was clearly related to sea ice concentration and SST intervals. CPUE was negatively correlated with the area of sea ice among years （R2=0.64）, and the correlation was strongest （R2=0.71） when sea ice concentration was greater than 90%. Over the months the CPUE initially increased, then decreased as the area of sea ice increased. The relationship was strongest （R2=0.88） when the concentration of sea ice was 60%--70%. There was no negative correlation among years between CPUE and the ice-free area when S ST was between -2 ℃ and 3 ℃ （R2=0.21）, but there was a significant negative correlation when SST was between 1 ℃ and 2℃ （R2=0.82）. Over the months, CPUE initially increased then decreased with increasing sea ice-free area, and the relationship was strongest （R2=0.94） when SST was between 0℃and 1 ℃. This study shows that sea ice concentra- tion and SST have significant effects on the abundance of krill in Area 48.2, and the findings have practical significance for the use and conservation of Antarctic krill resources.     

基于热力学过程的渤海海冰生消模型

为了对渤海海冰生消问题进行模拟,基于三维自由水面垂向分层动网格的Euler-Lagrangian模式,采用VC（Vertex-Centered）方式的非结构化有限体积方法离散三维浅水方程组,模拟渤海的水流运动过程。以此水动力场为背景,引入热力学过程的影响,对渤海海域的冬季结冰过程进行模拟,建立了海冰生消模型。其中热力学参数主要包括大气温度、相对湿度、风场特征、太阳辐射、感热通量系数以及潜热通量系数。以渤海2011/2012年常冰年的结冰过程为例,将各个热力学参数对冰情影响的敏感性进行分析,对模型进行了验证。结果表明,感热与潜热系数是对冰情影响最敏感的一项,即当感热和潜热通量系数仅减小了0.000 2后,其海冰的最大厚度就减小了15 cm。最后,通过连续实测的水动力数据与2009/2010年冬季的典型海冰灾害过程再一次对模型进行了验证,充分说明了模型具有较高的精确性、稳定性与实用性。     

利用ICESat/GLAS数据获取北极海冰出水高度的研究

利用ICESat激光测高卫星数据获取2003-10～2008-03北冰洋秋季与冬季海冰出水高度,结果与国外相关研究基本一致。出水高度数据的拟合结果表明,北极海冰出水高度以每年约2.3 cm的速度递减,该速度比此前的相关研究结果更快。在不同作者利用ICESat数据计算的北极海冰出水高度的对比中,不同方法得到的结果之间存在明显的系统误差。对引起系统误差的原因进行深入分析表明,高程滤波的窗口长度、确定海面高的范围以及海面观测值的选取方式都会使出水高度的计算产生cm级的误差。     

2012年南极长城站气象和海冰特征分析

基于中国第28次南极科学考察长城站越冬期间获取的常规气象和海冰观测资料,结合统计的1985—2010年气候值,对比分析了长城站2012年的气象及海冰特征。气象分析表明,该年平均气压和气温偏低,N—W风向频率显著偏低,E—SE风向频率显著偏高;雾日偏少,降雪量、吹雪及雪暴显著偏多;针对观测期间某些月份比较明显的气象要素和天气现象异常,从大气环流角度进行了分析解释。海冰观测表明,长城湾冰情变化受大气动力作用影响大,冰情稳定性差,外围海域海冰极不稳定,2012年4月至2012年11月冰情几经进退,先后交替出现3个完全冰冻和3个部分冰冻期。     

基于对象—事件—过程的时空数据模型及其应用

根据地理本体思想,提出和构建了基于对象—事件—过程的面向对象的时空数据模型.该模型基于3个基本地理实体类型:地理对象、地理事件和地理过程,三者基于地理本体的特性,本体化地表达和概括了地理现象和事物.该模型能有效地描述和表达复杂的地理动态现象和事物,能增强性的探讨和表征地理现象发生和发展的内在关联.甚者,鉴于描述和表达三者的侧重点不同,该模型可灵动性地整合或拆分成其它时空数据模型,不失为一种通用的时空数据模型.最后,以动态变化的海冰为例,验证了模型的可行性和有效性.     

2002-2011年新疆积雪时空分布特征研究北大核心CSCD

基于2002-2011年的MODIS积雪产品数据, 对新疆积雪的年际变化特征、年内变化特征及空间分布特征进行了分析.结果表明： 年内积雪从10月中旬开始建立, 于1月面积达到最大, 7月面积达到最小.其中, 冬季积雪面积所占比例最大, 夏季最小. 2002-2011年新疆积雪面积总体上呈减少趋势. 其中, 春季和冬季为减少趋势;夏季的积雪由于其基本上都是高海拔的永久性积雪, 故比较稳定, 变化趋势不明显;秋季为上升趋势.新疆积雪空间分布极不均匀, 北疆积雪分布明显多于南疆.山区为积雪覆盖频次的高值区, 盆地为积雪覆盖频次的低值区.永久性积雪在阿尔泰山脉分布较少, 主要分布在天山山脉和昆仑山脉.就永久性积雪面积而言, 分布在海拔5 000~6 000 m的面积最大, 其次是海拔4 000~5 000 m, 再次是海拔6 000~7 000 m.     

利用船测数据以及Landsat-7 ETM+影像评估南极海冰区AMSR-E海冰密集度

利用第26次中国南极科学考察期间收集的海冰密集度船基观测资料以及由Landsat-7 ETM+得到的海冰密集度来验证AMSR-E南极海冰区海冰密集度产品的精度。AMSR-E海冰密集度与船基目视观测的海冰密集度存在着一定的线性关系(R²=0.816), 但两者匹配得并不是很好。与ETM+海冰密集度相比,AMSR-E数据趋向于低估海冰密集度,在25景晴空条件下的ETM+影像中,平均海冰密集度偏差(AMSR-E海冰密集度-ETM+海冰密集度)从-5.33%到-21.5%,而相应的均方根误差RMSE (Root Mean Squared Errors)从13.7%到33.8%。依据Landsat-7 ETM+ 海冰分类,AMSR-E数据海冰密集度最大的误差产生于新冰区。     

南极海冰涛动对北半球夏季大气环流的影响

南极海冰首要模态呈现偶极子型异常,正负异常中心分别位于别林斯高晋海/阿蒙森海和威德尔海。过去研究表明冬春季节南极海冰涛动异常对后期南极涛动（Antarctic Oscillation,AAO）型大气环流有显著影响,而AAO可以通过经向遥相关等机制影响北半球大气环流和东亚气候。本文中我们利用观测分析发现南极海冰涛动从5～7月（May–July,MJJ）到8～10月（August–October, ASO）有很好的持续性,并进一步分析其对北半球夏季大气环流的可能影响及其物理过程。结果表明,MJJ南极海冰涛动首先通过冰气相互作用在南半球激发持续性的AAO型大气环流异常,使得南半球中纬度和极地及热带之间的气压梯度加大,在MJJ至JAS,纬向平均纬向风呈现显著的正负相间的从南极到北极的经向遥相关型分布。对流层中层位势高度场上,在澳大利亚北部到海洋性大陆区域,出现显著的负异常,在东亚沿岸从低纬到高纬呈现南北走向的“? + ?”太平洋—日本（Pacific–Japan,PJ）遥相关波列,其对应赤道中部太平洋及赤道印度洋存在显著的降水和海温负异常,西北太平洋至我国东部沿海地区存在显著降水正异常和温度负异常;低纬度北美洲到大西洋一带存在的负位势高度异常和北大西洋附近存在的正位势高度异常中心,构成一个类似于西大西洋型遥相关（Western Atlantic,WA）的结构,对应赤道南大西洋降水增加和南撒哈拉地区降水减少。从物理过程来看,南极海冰涛动首先通过局地效应影响Ferrel环流,进而通过经圈环流调整使得海洋性大陆区域和热带大西洋上方的Hadley环流上升支得到增强,海洋性大陆区域特别是菲律宾附近的热带对流活动偏强,激发类似于负位相的PJ波列,影响东亚北太平洋地区的大气环流,而热带大西洋对流增强和北传特征,则通过激发WA遥相关影响大西洋和欧洲地区的大气环流。以上两种通道将持续性MJJ至ASO南极海冰涛动强迫的大气环流信号从南半球中高纬度经热带地区传递到北半球中高纬地区,从而对热带和北半球夏季大气环流产生显著影响。