Changing characteristics of arctic pressure ridges

The advent of multibeam sonar permits us to obtain full three-dimensional maps of the underside of sea ice. In particular this enables us to distinguish the morphological characteristics of first-year (FY) and multi-year (MY) pressure ridges in a statistically valid way, whereas in the past only a small number of ridges could be mapped laboriously by drilling. In this study pressure ridge distributions from two parts of the Arctic Ocean are compared, in both the cases using mainly data collected by the submarine “Tireless” in March 2007 during two specific grid surveys, in the Beaufort Sea at about 75° N, 140° W (N of Prudhoe Bay), and north of Ellesmere Island at about 83° 20′ N, 64° W. In the Beaufort Sea the ice was mainly FY, and later melted or broke up as this area became ice-free during the subsequent summer. N of Ellesmere Island the ice was mainly MY. Ridge depth and spacing distributions were derived for each region using the boat's upward looking sonar, combined with distributions of shapes of the ridges encountered, using the Kongsberg EM3002 multibeam sonar. The differing shapes of FY and MY ridges are consistent with two later high-resolution multibeam studies of specific ridges by AUV. FY ridges are found to fit the normal triangular shape template in cross-section (with a range of slope angles averaging 27°) with a relatively constant along-crest depth, and often a structure of small ice blocks can be distinguished. MY ridges, however, are often split into a number of independent solid, smooth blocks of large size, giving an irregular ridge profile which may be seemingly without linearity.Our hypothesis for this difference is that during its long lifetime an MY ridge is subjected to several episodes of crack opening; new cracks in the Arctic pack often run in straight lines across the ridges and undeformed ice alike. Such a crack will open somewhat before refreezing, interpolating a stretch of thin ice into the structure, and breaking up the continuity and linearity of the ridge crest. Many such episodes over a number of years can cause the ridge to become simply a series of blocks. This has implications for ridge strength and for permeability to spilled oil. As the percentage of MY ice in the Arctic diminishes, Arctic ridging will be more and more dominated by FY ridges, and we discuss the implications of this change of character of the ice underside in the light of the statistics that we have generated for the two types of ridge.     

不同月海冰边界提取算法对南极海冰变化的影响分析

海冰与海水的交界地带是海-冰-气相互作用的重要区域,其变化会影响海洋生物栖息地的联通状态和海洋、大气的交换,确定海冰边界对于分析海冰动态变化具有重要意义[1-2]。被动微波传感器为长期监测海冰变化提供了大尺度的连续观测数据。从经典统计、随机集理论出发,应用三种由被动微波日均海冰密集度数据提取月均海冰边界的方法,分析三种月均边界的差异,以及不同月均边界提取方法对海冰长期变化分析的影响。     

基于SIR-C数据的SAR极化特征参数区分海冰与海水的能力评价

利用1994年10月南极区域的6景SIR-C影像,评估了L波段和C波段下13种主要的SAR极化特征参数区分海冰、海水信息的能力。结果表明:L波段下有6种参数能较好地区分海冰和海水,它们是:散射熵、交叉极化比HV/VV、同极化比VV/HH、同极化相关系数ρHH-VV、HV极化后向散射系数、Alpha角;另外,HH极化后向散射系数、交叉极化比HV/HH具有一定的区分海冰和海水的能力;其余5种难以区分海冰和海水。C波段下有4种参数能较好地区分海冰和海水,他们是:散射熵、同极化相关系数ρHH-VV、HV极化后向散射系数、同极化比VV/HH;HH极化后向散射系数、交叉极化比HV/VV、Alpha角和VV极化后向散射系数这4种参数具有一定的区分海冰和海水的能力;其余5种难以区分海冰和海水。且总体来看,L波段区分海冰和海水的能力好于C波段。这为海冰探测的研究提供了有用的参考。     

Trends and variability of sea ice in Baffin Bay and Davis Strait, 1953–2001

The extent and duration of sea ice in Baffin Bay and Davis Strait has a major impact on the timing and strength of the marine production along West Greenland. The advance and retreat of the sea ice follows a predictable pattern, with maximum extent typically in March. We examine the area of sea ice in March in three overlapping study regions centred on Disko Bay on the west coast of Greenland. Sea ice concentration estimates derived from satellite passive microwave data are available for the years 1979-2001. We extend the record back in time by digitizing ice charts from the Danish Meteorological Institute, 1953-1981. There is reasonable agreement between the chart data and the satellite data during the three years of overlap: 1979-1981. We find a significant increasing trend in sea ice for the 49-year period (1953-2001) for the study regions that extend into Davis Strait and Baffin Bay. The cyclical nature of the wintertime ice area is also evident, with a period of about 8 to 9 years. Correlation of the winter sea ice concentration with the winter North Atlantic Oscillation (NAO) index shows moderately high values in Baffin Bay. The correlation of ice concentration with the previous winter's NAO is high in Davis Strait and suggests that next winter's ice conditions can be predicted to some extent by this winter's NAO index.     

MODIS海冰数据监测中山站附近海冰的季节性变化

本文利用中分辨率成像光谱仪(Moderate Resolution Imaging Spectroradiometer,即MODIS)的海冰数据,监测中山站附近区域海冰的季节性(尤其是夏季)的消融与冻结情况及海冰表面温度的变化。文中先对MODIS的海冰数据进行影像分层、数据合成,分时间段计算海冰范围,然后提取海冰表面温度信息,最后对获取的数据进行分析。研究结果表明,中山站附近区域在每年10月至翌年2月中上旬为海冰消融期;2月中下旬至4月为海冰冻结非密封期;5月至9月为海冰冻结密封期。海冰范围2月份最小;海冰表面温度1月份最低,8月份最高。     

侧边界融化对北极海冰影响的数值模拟

对NCAR CSIM5 海冰模式中海冰侧边界融化参数化方案进行了详细阐述,并利用CSIM5模式模拟了侧边界融化对北极海冰厚度和海冰面积变化的影响,试验结果表明：（1）侧边界融化热力过程会增大海冰厚度和海冰面积的消融,海冰厚度消融最明显的区域分布在西伯利亚海和格陵兰海,海冰面积消融最明显区域分布海冰边缘地区;（2）侧边界融化过程对夏季海冰厚度影响比冬季更为明显,而对冬季海冰面积的影响要比夏季更为明显;（3）侧边界融化方案能更好地模拟出海冰面积的季节性变化;（4）海水表面温度（SST）是影响海冰侧边界融化过程的重要因子,侧边界融化率的大值区分布在SST零度线附近的狭窄区域。     

海冰和海温对西北地区中部6月降水异常的协同影响

利用1961年以来美国国家环境预报中心(NCEP)月平均再分析风场、高度场、NOAA重构海表温度以及西北地区中部54个气象站6月逐日降水资料、1979年以来北极10个区域的海冰面积,通过分析2019年6月西北地区中部降水异常的成因,揭示出对该区域6月降水具有显著影响的关键海区海冰面积及时段、北大西洋三极子(NAT)关键...     

南极半岛地区气温与南极海冰涛动、ENSO的联系

使用南极半岛Orcadas等台站的气温多年观测资料 ,分析了南极半岛气温和周围海冰以及ENSO的初步联系。结果表明 ,南极半岛地区的气温变化可以反映南极海冰涛动的变化特征 :气温距平和南极半岛附近海冰距平存在密切的负相关 ,和罗斯海外围区域的海冰距平存在正相关关系 ,能够较好地反映出南极半岛气温与南极海冰涛动以及ENSO之间的紧密联系。当南极半岛地区气温偏低 (高 )时 ,南极半岛周围海冰偏多 (少 ) ,罗斯海外围海冰偏少 (多 ) ,赤道中东太平洋海温偏高 (低 ) ,可能出现ElNino(LaNina)。另外 ,南极半岛当年 1 0月的气温距平对预测次年 1月的Nino3区海温异常具有重要参考价值     

电磁感应技术在波罗的海海冰厚度探测中的应用研究

海冰作为冰雪圈的重要组成部分,对气候变化十分敏感,海冰物理过程研究需要得到精确的海冰厚度。本文介绍一种能够高效探测海冰厚度的电磁感应方法及其在波罗的海(Baltic Sea)的成功应用。该技术方法针对海冰和海水的电特性,利用电磁感应原理精确探测仪器至冰水交界面的距离,以实现海冰厚度的测定。通过电磁感应(EM)仪直接观测的视电导率与同点位钻孔测量数据对比分析,获得视电导率与海冰厚度的转换关系式,并对通过该关系式计算出的海冰厚度进行验证,表明电磁感应技术能够获得可靠的海冰厚度数据,平均相对误差仅为12%。对波西尼亚海湾(Bothnian Bay)海冰厚度探测剖面的统计结果表明,2007年春季该区域平整冰厚度范围在0.4-0.6m之间。     

The influence of river discharge on the thawing of sea ice, Mackenzie River Delta: albedo and temperature analyses

Multi-temporal satellite images, field observations and field measurements were used to investigate the mechanisms by which sea ice melts offshore from the Mackenzie River Delta. Satellite data recorded between April and August 1986 were corrected to a map projection and calibrated such that albedo and temperature values could be compared. Three stages in the melting of sea ice were identified: flooding (overflows), insolation and melting by warm river water. The albedo values of overflows were as much as 1/7 that of ice values while the albedo of ice decreased by 1/3 over the summer. Approximately two weeks after the overflows develop, sea surface temperatures rise as the river-discharge peaks and becomes the dominant source of energy. By this process, ice removal in the delta regime is initiated two months earlier than adjacent coasts with minimal runoff. However, the net result is only a two-week acceleration of ice removal in the delta region.     

夏季西北冰洋表层淡水分布的总碱度示踪研究

利用中国第三次北极科学考察在西北冰洋所进行的海水总碱度的测量,通过海水、海冰融化水以及河源淡水三个端元总碱度特征的显著差异计算西北冰洋夏季表层海水中淡水所占的比例。研究表明,西北冰洋海冰融化水所占比例最大区域在加拿大海盆区75°N附近,这是冰缘带位置,往北向高纬度的冰密集中逐渐增加。而河源淡水的组份则与北冰洋的环流密切相关,并且在西北冰洋水体中逐渐累积。     

2002—2011年南极海冰变化的遥感分析

基于2002—2011年南极地区AMSR-E逐日海冰密集度数据, 计算相应时间段内的海冰外缘线和海冰面积, 分析了南极地区这10年来各时间尺度上的海冰变化, 揭示了海冰变化的时空特征。结果表明: 2002— 2011年南极海冰外缘线、海冰面积分别增加了3.64%、3.8%, 总体上呈现增加的趋势, 其中2008年海冰面积最大。罗斯海、西太平洋和威德尔海的海冰面积呈现增加趋势, 而印度洋和别林斯高晋海/阿蒙森海的海冰面积则趋于减小。南极海冰面积一般夏季最小、冬季最大, 相同季节海冰面积变化波动较小, 不同海区只是变化范围不同。南极一年冰增长速度较低, 平均每年增加约0.1×106 km2, 且大范围地分布在南极大陆(除威德尔海外)周围。多年冰平均每年减少0.05×106 km2, 且多处于威德尔海。海冰面积变化与气温有负相关关系。     

“北极航道”开通与中国及其受影响区域的贸易增长潜力分析

在考虑船舶等待时间和海冰因素的基础上,以航行时间替代航运距离,对传统的贸易引力模型进行修正,量化评估了"北极航道"开通对中国及其受影响区域的贸易增长潜力。结果表明:(1)航行时间与进出口总额之间呈负相关关系,航行时间每减少1%,将使中国的进出口贸易总额增加0.6590%;(2)海冰因素会对贸易潜力的提升产生较大影响。在存在海冰的情况下,由于"北极航道"在航运距离上的天然优势,将使中国的贸易潜力增长10.95%,使中国受影响的北部沿海地区和东部沿海地区的贸易潜力分别增长12.02%和11.22%;一旦海冰消融、"北极航道"全面通航,中国及其受影响的北部沿海地区和东部沿海地区的贸易潜力则会得到进一步提升,提升效应将达到20%以上。     

The research of Polar sea ice and its role in climate change

As an important part of global climate system,the Polar sea ice is ef fecting on global climate changes through ocean surface radiation balance,mass balance,energy balance as well as the circulating of sea water temperature and salinity.Sea ice research has a centuries-old history.The many correlative sea ice projects were established through the extensive international cooperation d uring the period from the primary research of intensity and the bearing capacity of sea ice to the development of sea/ice/air coupled model.Based on these rese arches,the sea ice variety was combined with the global climate change.All res earch about sea ice includes:the physical properties and processes of sea ice a nd its snow cover,the ecosystem of sea ice regions,sea ice and upper snow albe do,mass balance of sea ice regions,sea ice and climate coupled model.The simu lation suggests that the both of the area and volume of polar sea ice would be r educed in next century.With the developing of the sea ice research,more scient ific issues are mentioned.Such as the interaction between sea ice and the other factors of global climate system,the seasonal and regional distribution of pol ar sea ice thickness,polar sea ice boundary and area variety trends,the growth and melt as well as their influencing factors,the role of the polynya and the sea/air interactions.We should give the best solutions to all of the issues in future sea ice studying.     

EnviSat ASAR数据在水情监测中的应用

在微波遥感领域,星载雷达是目前获取地球信息最主要的技术手段之一,而欧空局EnviSat卫星上搭载的先进合成孔径雷达ASAR是目前功能最为强大的星载雷达系统。以ASAR作为数据源,通过分析入射角、极化方式等因素对水体后向散射特性的影响,提出遥感水情监测中对ASAR数据产品的选取原则。根据水体在雷达图像数据中具有较低值的特点,使用阈值法识别水体。结果表明,使用H/H极化或V/H极化方式的数据都可以比较准确地提取水体信息。     

东西伯利亚海海冰季节变化特征及主要影响因素分析

利用1997-2005年美国国家冰雪中心提供的卫星遥感数据,对东西伯利亚海海冰周年变化特征及其动力和热力学机制进行详细分析,以1999年海冰状况为例讨论了该海域海冰的周年变化。按照海冰变化的区域特征和融化机制差异,将全年的海冰变化过程分为密集冰封期、陆坡开裂期、西部融化期、全面融化期和秋季结冰期。不同年份各个阶段发生的具体日期不尽相同,海冰覆盖面积最小值及其发生时间有所差异,但是,各年海冰变化的5个阶段都清晰可辨。海冰融化时间持续3个月,冻结时间仅为1个半月左右。每年5月份东西伯利亚海陆坡处海冰发生开裂,主要是该时期风场辐散的作用。1999年,除5月份以外的其他月份,东西伯利亚海海表面风场是辐聚风场,不利于海冰融化和开阔水域面积的扩大。东西伯利亚海海冰融化的决定性因素是陆地径流,因迪吉尔卡河、科雷马河、亚纳河和勒拿河四条河流在海冰融化过程中发挥主要作用。海冰覆盖面积最小值出现的时间一般是9月下旬,整个海域的沿岸带海冰全部消失,形成大范围的开阔水。夏季北半球气温的升高和太阳辐射的加热作用,为海冰融化提供持续的热量。     

Sea ice algae in the White and Barents seas: composition and origin

To examine algae populations, three expeditions (in March 2001, April 2002 and February 2003) were conducted in the Guba Chupa (Chupa Estuary; north-western White Sea), and one cruise was carried out in the open part of the White Sea in April 2003 and in the northern part of the Barents Sea in July 2001. Sea ice algae and phytoplankton composition and abundance and the content of sediment traps under the land-fast ice in the White Sea and annual and multi-year pack ice in the Barents Sea were investigated. The community in land-fast sea ice was dominated by pennate diatoms and its composition was more closely related to that of the underlying sediments than was the community of the pack ice, which was dominated by flagellates, dinoflagellates and centric diatoms. Algae were far more abundant in land-fast ice: motile benthic and ice-benthic species found favourable conditions in the ice. The pack ice community was more closely related to that of the surrounding water. It originated from plankton incorporation during sea ice formation and during seawater flood events. An additional source for ice colonization may be multi-year ice. Algae may be released from the ice during brine drainage or sea ice melting. Many sea ice algae developed spores before the ice melt. These algae were observed in the above-bottom sediment traps all year around. Three possible fates of ice algae can be distinguished: 1) suspension in the water column, 2) sinking to the bottom and 3) ingestion by herbivores in the ice, at the ice-water interface or in the water column.     

Role of sea ice in air-sea exchange and its relation to sea fog

Synchronous or quasi-synchronous stereoscopic sea-ice-air comprehensive observation was conducted during the First China Arctic Expedition in summer of 1999. Based on these data, the role of sea ice in sea-air exchange was studied. The study shows that the kinds, distribution and thickness of sea ice and their variation significantly influence the air-sea heat exchange. In floating ice area, the heat momentum transferred from ocean to atmosphere is in form of latent heat; latent heat flux is closely related to floating ice concentration; if floating ice is less, the heat flux would be larger. Latent heat flux is about 21 23 6 W·m -2, which is greater than sensible heat flux. On ice field or giant floating ice, heat momentum transferred from atmosphere to sea ice or snow surface is in form of sensible heat. In the floating ice area or polynya, sea-air exchange is the most active, and also the most sensible for climate. Also this area is the most important condition for the creation of Arctic vapor fog. The heat exchange of a large-scale vapor fog process of about 500000 km 2 on Aug. 21 22,1999 was calculated; the heat momentum transferred from ocean to air was about 14 8×10 9 kW. There are various kinds of sea fog, radiation fog, vapor fog and advection fog, forming in the Arctic Ocean in summer. One important cause is the existence of sea ice and its resultant complexity of both underlying surface and sea-air exchange.     

南极磷虾资源丰度及其与海冰和表温的关系

根据2003—2010年南极磷虾48.2区产量数据结合该区域海冰和SST数据,分析了磷虾产量的时空分布,探讨了海冰和SST对南极磷虾资源丰度的影响。结果表明,48.2区的渔汛期为3—7月,主要作业时间为2—8月,产量约占该渔区年产量的99.3%。回归分析表明,磷虾CPUE变动与海冰和SST面积变化关系明显。磷虾CPUE与海冰总面积年间变化呈现显著的负相关(R=0.80),与海冰密集度为90%—100%的海冰面积负相关系数最大(R=0.84);年内变化关系则为一元二次多项式回归模型,CPUE随海冰面积的递增先增大后减小,与海冰密集度为60%—70%的海冰面积相关系数最大(R=0.94)。磷虾CPUE与SST为-2—3℃时的总面积年间变化负相关性不显著(R=0.46),但与SST为1—2℃时的面积呈现显著的负相关(R=0.91);年内变化关系也为一元二次多项式回归模型,CPUE随SST面积的递增先增大后减小,与SST为0—1℃时的面积相关系数最大(R=0.97)。     

基于海冰密集度遥感数据的波弗特海海冰时空变化研究

采用美国冰雪数据中心(NSIDC)的日尺度与月尺度海冰密集度数据,将海冰密集度为15%作为阈值确定海冰外缘线位置,提取波弗特海海域的海冰外缘线,计算波弗特海的海冰密集度、海冰范围与海冰面积,然后通过海冰范围与海冰外缘线的年际变化与季节变化来分析波弗特海海冰外缘线退缩的时空变化特征与趋势。实验结果表明,1978—2015年波弗特海的海冰密集度、海冰范围与海冰面积整体变化趋势一致,减少趋势显著。37年来,海冰密集度平均每年减少约0.3%,海冰范围平均每年减少3 235 km2,海冰面积平均每年减少5 084 km2。海冰密集度在1979—1996年无明显减少趋势,1996—2015年减少趋势明显。波弗特海海冰范围一般在9月达到最小值,在11月至次年5月维持在最大值(全冰覆盖状态);海冰面积一般在9月达到最小值,在12月或者1月达到最大值。海冰范围最小值出现时间有延迟的趋势,全冰覆盖状态具有起始时间越来越晚、终止时间越来越早、持续时间越来越短的趋势,平均持续天数为212 d。