Relationship of Arctic sea ice and Northern Hemispheric 500 hPa Polar vortices

Using the NCEP/NCAR reanalysis monthly 500 hPa height data on a 2.5 latitude-longitude grid and 1°×1° sea ice data,the polar vortex area,intensity index and arctic sea ice area index are calculated respectively,and the meridional distribution,period variation and the abrupts in the long range trend are analyzed to study their relationship.The results show that the meridional distribution of sea ice and polar vortex h-ave distinctive difference,the relative positions of them are different in the eastern and western hemispheres,and exept they have periods of 4 months,quasi half year,quasi year,4-5 years and 10 years commonly,and each of them has its own respective variation as well.The sea ice area is decreasing apparently since 1980's,so is the polar vortex area,but their abrupt changge time are different totally.The area of sea ice and polar vortex has prominent positive correlation,but the relationship of sea ice intensity,polar vortex intensity,polar vortex area is complicated.     

Summer sea ice characteristics of the Chukchi Sea

During August 1999, we investigated sea ice characteristics; its distribution, surface feature, thickness, ice floe movement, and the temperature field around inter-borders of air/ice/seawater in the Chukchi Sea. Thirteen ice cores were drilled at 11 floe stations in the area of 72°24′ 77°18′N, 153°34′ 163°28′W and the ice core structure was observed. From field observation, three melting processes of ice were observed; surface layer melting, surface and bottom layers melting, and all of ice melting. The observation of temperature fields around sea ice floes showed that the bottom melting under the ice floes were important process. As ice floes and open water areas were alternately distributed in summer Arctic Ocean; the water under ice was colder than the open water by 0.4 2.8℃. The sun radiation heated seawater in open sea areas so that the warmer water went to the bottom when the ice floes move to those areas. This causes ice melting to start at the bottom of the ice floes. This process can balance effectively the temperature fluctuating in the sea in summer. From the crystalline structure of sea ice observed from the cores, it was concluded that the ice was composed of ice crystals and brine-ice films. During the sea ice melting, the brine-ice films between ice crystals melted firstly; then the ice crystals were encircled by brine films; the sea ice became the mixture of ice and liquid brine. At the end of melting, the ice crystals would be separated each other, the bond between ice crystals weakens and this leads to the collapse of the ice sheet.     

Definition of Arctic and Antarctic Sea Ice Variation Index

1　Introduction Itiswellknownthatseaiceinthepolarregionplaysanimportantroleintheglobal climatechangesasapartofclimatesystem(Carleton1989;YuanandMartinson2000, 2001;ChengandBian2002;LiuandMartinson2002;LiuandZhang2004;Gigorand Wallace2002etal).Infact,numerousmodelingstudiessuggestanimportantinfluence throughtheseaicefieldsalone(Grumbine1994,Meehl1990,Rindetal.1995).Inor dertounderstandthevariabilityofArcticandAntarcticseaicealongwiththepossiblecon nectionswithclimaticanomaliesindetail…     

Fabric and crystal characteristics of Bohai and Arctic sea ice

1　ＩｎｔｒｏｄｕｃｔｉｏｎＢｏｈａｉｏｎｅ ｙｅａｒｉｃｅａｎｄＡｎｔａｒｃｔｉｃｏｎｅｈａｖｅｔｈｅｓｉｍｉｌａｒｓｕｒｆａｃｅ ｆｅａｔｕｒｅｓａｎｄｃｏｒｒｅ ｓｐｏｎｄｉｎｇｆａｂｒｉｃａｎｄｃｒｙｓｔａｌｃｈａｒａｃｔｅｒｉｓｔｉｃｓ (Ａｌｌｉｓｏｎ 1 997;Ｌｉｅｔａｌ.1 997;Ｑｉｎ 1 991 ) .ＤｕｒｉｎｇｔｈｅＣｈｉｎａＦｉｒｓｔＡｒｃｔｉｃＥｘｐｅｄｉｔｉｏｎ ,ｔｈｅｒｅｓｕｌｔｓｉｎｔｈｅｓｔｕｄｙｏｆｏｎｅ ｙｅａｒｉｃｅｆｒｏｍＢｏｈａｉａｎｄＡｎｔａｒｃｔｉｃｗｅｒｅｕｓｅｄｆｏ…     

Experiment of near surface layer parameters in ice camp over Arctic Ocean

Estimates of near surface layer parameters over 78°N drifting ice in ice camp over the Arctic ocean are made using bulk transfer methods with the data from the experiments operated by the Chinese Arctic Scientific Expedition in August 22-September 3,2003.The results show that the net radiation received by the snow surface is only 3.6 W/m2,among which the main part transported into atmosphere in term of sensible heat and latent heat,which account for 52% and 31% respectively,and less part being transported to deep ice in the conductive process.The bulk transfer coefficient of momentum is about 1.16×10-3 in the near neutral layer,which is a little smaller than that obtained over 75°N drifting ice.However,to compare with the results observed over 75°N drifting ice over the Arctic Ocean in 1999,it can be found that the thermodynamic and momentum of interactions between sea and air are significant different with latitudes,concentration and the scale of sea ice.It is very important on considering the effect of sea-air-ice interaction over the Arctic Ocean when studying climate modeling.     

北极熊栖息地稳定性的遥感评估方法

北极熊是北极最重要的哺乳动物之一,近年来数量却在减少。海冰作为北极熊狩猎、活动和繁殖的平台,是其栖息地的重要组成部分。因此其种群栖息地变化主要依赖于海冰变化。本文基于美国雪冰中心的海冰密集度和NOAA提供的ETOPO1基岩数据,分析了北极海冰密集度、开阔水域面积、海冰消退时间、海冰出现时间、开阔水域季节长度的年际变化,进而评价北极熊栖息地的稳定性。结果表明,海冰密集度呈现降低的趋势,开阔水域面积增大,多年冰数量减少,大多变为一年冰。海冰消退时间提前,海冰出现时间延后,开阔水域季节长度大幅增加,与1992年相比增加了72 d。19个栖息地中,巴伦支海是开阔水域面积和季节长度变化贡献最大的海域,增加速度分别为9.71×10³ km²/a和71.69 d/10a。以开阔水域季节长度变化率为依据,将北极熊栖息地划分为稳定、次稳定和不稳定3个等级。总共有3个稳定栖息地,包括分布在相对其他栖息地而言纬度较低的楚科奇海、西哈得孙湾和南哈得孙湾。13个次稳定栖息地,包括拉普捷夫海、喀拉海、东格陵兰、巴芬湾、戴维斯海峡、福克斯湾、布西亚湾、麦克林托克海峡、梅尔维尔子爵海峡、挪威湾、北波弗特、南波弗特和兰开斯特海峡。3个不稳定栖息地,均位于70°N以北,包括北极盆地、巴伦支海和凯恩盆地。稳定区主要位于低纬度,不稳定区全部位于高纬度。该分级结果表明高纬度地区虽然海冰覆盖多,但是年际变化十分显著,不稳定的3个区域内北极熊对海冰变化适应时间更少,年际迁移变化大,对北极熊的生存发展更为不利。     

Relationship between Antarctic sea ice and the climate in summer of China

The variations of sea ice are different in different regions in Antarctica, thus have different impacts on local atmospheric circulation and global climatic system. The relationships between the sea ice in Ross Sea and Weddell Sea regions and the synoptic climate in summer of China are investigated in this paper via diagnostic analysis methods by using global sea ice concentration gridded data covering Jan. 1968 through Dec. 2002 obtained from Hadley Center, combined with Geopotential Height on 500hPa and 100hPa over North Hemisphere and monthly precipitation and air temperatures data covering the corresponding period over 160 meteorological stations in China obtained from CMA （ China Meteorological Administration）. Results disclose that both these two regions are of indicative meanings to the climate in summer of China. The Ross Sea Region is the key sea ice region to the precipitation in Northeast China in summer. More sea ice in this region in September will result in less precipitation in Northeast China in the following June. Weddell Sea Region is the key sea ice region to the air temperature in Northeast China in summer. More sea ice in this region in September will contribute to lower air temperature in Northeast China in the following June.     

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。     

Measurements of sea ice thickness and its subice morphology analysis using ice-penetration radar in the Arctic Ocean

1　IntroductionSeaice ,asanimportantcomponentoftheArcticclimatesystem ,hasdrawnsignifi cantscientificinterest.Seaicethicknessanditsmorphologyhavedramaticimpactsono cean atmosphere iceinteractions(Wadhams 1 994;Barryetal.1 993 ;Dickson 1 999;PadhamsandNorman 2 0 0 0 ) ,whichdirectlyaffecttheexchangeprocessandspeedofheatandmassbetweentheoceanandtheatmosphere ,dominatethephysicalmechanicsfea turesofseaice ,andaffecttheseaicemovement&deformationaswellasicefreezing&meltingprocess(Hollandetal.1 99…     

北极海冰的基本特征

本文应用1953～1984年的北极海冰资料,分析各区海冰的季节变化、年际变化、自相关特性及互相关特性。认为Ⅰ区海冰占有最大权重,又具有较大的方差,在全区海冰中起着重耍作用。冬季,各区海冰相互关联,其余季节,基本上相互独立。各区海冰均提供了气候“贮存”机制,一个季节的冰能影响下一个季节冰的特性;冬季的贮存能力大于夏季,春秋次之;Ⅱ区和Ⅳ区冰的持续性优于Ⅰ区 。     

2015—2020年辽东湾海冰冰情时空特征及其影响因素

受冬季强寒潮侵袭,辽东湾会出现大范围结冰现象。为了分析2015—2020年辽东湾海冰冰情的变化规律与影响因素,本文选取Sentinel-1A/B数据开展辽东湾海冰监测。首先,采用巴氏距离选择最优纹理特征组合,再利用最大似然方法实现海冰分类;然后,根据上述海冰分类结果,分析海冰冰情等级、海冰外缘线、海冰面积、海冰类型和海冰结冰概率等冰情特征的变化规律;最后,研究海水深度、海温、气温和风速与海冰冰情的关系。主要结论如下：① 采用不同纹理特征组合方法和本文方法对2020年2月1日Sentinel-1B影像进行实验,结果表明本文方法的总体分类精度和Kappa系数分别为93.16%和0.85,分类精度最高。② 11月末到12月海冰类型以初生冰为主,间有灰冰;1月到2月中上旬以灰冰为主,间有初生冰和白冰;2月下旬到3月上旬的海冰类型以灰冰和初生冰为主。辽东湾内部结冰概率存在差异,北部沿岸结冰概率高于南部,东部结冰概率高于西部。辽东湾海冰冰情受海水深度、海温和气温影响明显,受风速影响较小。     

Summer fast ice evolution off Zhongshan Station,Antarctica

Based on the field data acquired in the program of fast ice observation off Zhongshan Station, Prydz Bay, East Antarctica during the austral summer 2005/ 2006, physical properties evolution of fast ice during the ice ablation season is analyzed in detail. Results show that the annual maximum ice thickness in 2005 occurred in later November, and then ice started to reek, and the ablation duration was 62 days; sea water under the ice became warmer synchronously; corresponding to the warming sea ice temperature, a ＂relative cold mid-layer＂ appeared in sea ice; the fast ice marginal line recoiled back to the shore observably, and the recoil distance was 20.9 km from 18 December 2005 through 14 January 2006. In addition, based on the data of sea ice thickness survey along the investigation course of MV Xuelong on December 18 of 2005, the ice thickness distribution paten in the marginal ice zone have been described ： sea ice thickness increased, but the diversity of floe ice thick-ness decreased from open water to fast ice zone distinctly.     

北半球海冰和陆雪对东亚季风的影响及作用的可能途径

本文应用统计方法分析陆雪和海冰与东亚夏季风的关系。分析结果表明:前期海冰和陆雪,对夏季风强度有影响,而与夏季风同时的海冰和陆雪的异常,却与夏季风相关甚小,这是由于大气状况的变化与下垫面的能量储放有关。本文初步探讨北极海冰对东亚夏季风影响的可能途径,认为海冰通过大西洋海温、大西洋副热带高压及青藏高压,由夏季对流层上层的东西热力环流圈和季风环流圈,对东亚夏季风起一定影响。     

秘鲁外海鲯鳅生物学特性及资源分布初步研究

根据2012年5~7月东南太平洋秘鲁外海(探捕海域在83°W~87°W、10°S~14°S)鲯鳅资源的探捕调查资料,对其生物学特性作了初步分析。结果表明:秘鲁外海鲯鳅的叉长范围为31~121cm,优势叉长为30~50cm,占57.4%;在个体大小的空间分布上,探捕海域北部比南部个体略微偏大;雌性叉长(l)与体质量(m)关系式为m=5×10-4·l2.236 2(R2=0.940 5;n=104 9),雄性为m=5×10-4l2.209 6(R2=0.958 0,n=851);雌性鲯鳅比例稍高,占55.2%。探捕海域鲯鳅鱼资源密度较高,CPUE值范围为2~23.6 kg/(人·h),平均为11.6 kg/(人·h);不同区域资源密度有所差异,其中CPUE最高的区域在84°W~86°W、12°30′S~13°30′S附近;探捕期间6月份的最高平均CPUE为16.37 kg/(人·h)。     

南极帝企鹅种群栖息地动态变化遥感分析

帝企鹅是南极生态的指示器,其种群栖息地分布变化对研究南极气候具有重要意义,但传统的人工实地调查难以获取全面、准确的种群栖息地信息。本文依据帝企鹅种群排泄物在卫星影像上的蓝、红波段和近红外与短波红外波段的反射率差异,提出2种可以有效判别种群排泄物的光谱指数（NDII、EI）,据此精确识别帝企鹅种群排泄物并确定其种群栖息地位置。根据2009年195景时相合适、质量较好的Landsat 7 ETM+卫星影像,获取了南极共计38个帝企鹅种群栖息地,其中新发现7处（Bowman Island , Dibble Glacier , Auster, Point Geologie , Cape Crozier , Brownson Islands和Rupert Coast）,消失2处（Amundsen Bay 和Ledda Bay）,另外25处（除Thuston Glacier, Luitpold, Sanae, Gould, Ragnhild和Beaufort Island外）位置未发生明显变化,实现了全南极帝企鹅种群栖息地的识别与定位。种群栖息地提取的正确率为94%,提取结果受限于影像质量和种群规模,且随着种群规模的提高,该方法的提取效果也越好。帝企鹅种群栖息地的分布与气候要素息息相关,种群栖息地往往倾向于气温较低和海冰密集度较高的区域,气候变化对每个种群栖息地的影响不同,因此气候与种群栖息地变化的具体关系需要长时间、区域性的观测进行研究。随着气温持续上升和海冰密集度的变化,南纬70°以北的种群栖息地面临较大的威胁,帝企鹅种群呈现向极点逐渐收缩的趋势。     

Polar Sea Ice Identification and Classification Based on HY-2A/SCAT Data

In this paper,a Bayesian sea ice detection algorithm is first used based on the HY-2A/SCAT data,and a backpropagation(BP)neural network is used to classify the Arctic sea ice type.During the implementation of the Bayesian sea ice detection algorithm,linear sea ice model parameters and the backscatter variance suitable for HY-2A/SCAT were proposed.The sea ice extent obtained by the Bayesian sea ice detection algorithm was projected on a 12.5 km grid sea ice map and validated by the Advanced Microwave Scanning Radiometer 2(AMSR2)15%sea ice concentration data.The sea ice extent obtained by the Bayesian sea ice detection al-gorithm was found to be in good agreement with that of the AMSR2 during the ice growth season.Meanwhile,the Bayesian sea ice detection algorithm gave a wider ice edge than the AMSR2 during the ice melting season.For the sea ice type classification,the BP neural network was used to classify the Arctic sea ice type(multi-year and first-year ice)from January to May and October to De-cember in 2014.Comparison results between the HY-2A/SCAT sea ice type and Equal-Area Scalable Earth Grid(EASE-Grid)sea ice age data showed that the HY-2A/SCAT multi-year ice extent variation had the same trend as the EASE-Grid data.Classification errors,defined as the ratio of the mismatched sea ice type points between HY-2A/SCAT and EASE-Grid to the total sea ice points,were less than 12%,and the average classification error was 8.6%for the study period,which indicated that the BP neural network classification was a feasible algorithm for HY-2A/SCAT sea ice type classification.     

Analysis of multi-dimensional SAR for determining the thickness of thin sea ice in the Bohai Sea

Flat thin ice (<30 cm thick) is a common ice type in the Bohai Sea, China. Ice thickness detection is important to offshore exploration and marine transport in winter. Synthetic aperture radar (SAR) can be used to acquire sea ice data in all weather conditions, and it is a useful tool for monitoring sea ice conditions. In this paper, we combine a multi-layered sea ice electromagnetic (EM) scattering model with a sea ice thermodynamic model to assess the determination of the thickness of flat thin ice in the Bohai Sea using SAR at different frequencies, polarization, and incidence angles. Our modeling studies suggest that co-polarization backscattering coefficients and the co-polarized ratio can be used to retrieve the thickness of flat thin ice from C- and X-band SAR, while the co-polarized correlation coefficient can be used to retrieve flat thin ice thickness from L-, C-, and X-band SAR. Importantly, small or moderate incidence angles should be chosen to avoid the effect of speckle noise.     

Detection and monitoring of new-ice in the East Greenland Sea using the SeaWinds scatterometer

Space borne radar scatterometers are primarily designed to measure the wind vector over the world ocean; yet they also provide useful information on sea ice type and extent. In this paper, it is shown how the SeaWinds scatterometer can be used to detect new sea ice at the very beginning of its growth. Taking advantage of the very good coverage of the East Greenland Sea by SeaWinds on board the QuickSCAT satellite it has been possible to detect the early stage of formation of the sea ice peninsula, named the Odden, and to monitor its evolution during March 2001. The early sea ice detection has been validated by using RADARSAT Synthetic Aperture Radar scenes. It is also shown that microwave radiometers, such as the Special Sensor Microwave Imager (SSM/I), which are used as standard sensors for sea ice monitoring, do not detect the very early stage of sea ice growth and lag behind new sea ice occurrence by about twelve to twenty four hours.     

Status of the Recent Declining of Arctic Sea Ice Studies

In the past 30 years, a large-scale change occurred in the Arctic climatic system, which had never been observed before 1980s. At the same time, the Arctic sea ice experienced a special evolution with more and more rapidly dramatic declining. In this circumstance, the Arctic sea ice became a new focus of the Arctic research. The recent advancements about abrupt change of the Arctic sea ice are reviewed in this paper .The previous analyses have demonstrated the accelerated declining trend of Arctic sea ice extent in the past 30 years, based on in-situ and satellite-based observations of atmosphere, as well as the results of global and regional climate simulations. Especially in summer, the rate of decrease for the ice extents was above 10% per decade. In present paper, the evolution characteristics of the arctic sea ice and its possible cause are discussed in three aspects, i.e. the sea ice physical properties, the interaction process of sea ice, ocean and atmosphere and its response and feedback mechanism to global and arctic climate system.