海冰离散元模型的研究回顾及展望

为描述极区及副极区海冰在不同尺度下的离散分布特性,以及海冰与海洋结构相互作用过程中的破碎性能,海冰的离散单元模型从上世纪80年代发展起来并不断完善。本文将海冰离散单元模型分为地球物理尺度( ~100km)、浮冰块尺度(10m ~ 10km)和海洋结构尺度(1m ~ 100m)等三种不同尺度,讨论了不同尺度下海冰的离散分布规律或海冰由连续状态向离散状态转化的动力过程。通过对块体、圆盘和颗粒不同形态的海冰离散单元模型的介绍,对其在极区海冰的动力特性、海冰重叠堆积及其与波浪的作用过程、海冰与海洋结构的相互作用中的应用进行了分析,对海冰强度的尺度效应进行了讨论。最后,讨论了海冰离散单元模型中存在的问题和重点研究内容。     

Coordinated changes of sea ice over the Beaufort and Chukchi seas: regional and seasonal perspectives

One outstanding feature of the recent Arctic climate is the contrast of the changes of sea ice concentration and thickness between the Beaufort Sea and the Chukchi Sea. Since the Arctic Oscillation (AO) plays a critical role in driving Arctic sea ice changes and the Beaufort and Chukchi seas have been hypothesized as a region in which sea ice anomalies originate, we employed a coupled sea ice-ocean model and carried out simulations forced by the AO signal to examine sea ice changes in these regions, focusing on seasonality. With the AO phase transition from negative to positive, anticyclonic windstress weakens broadly in both winter and summer; however, the surface air temperature response shows remarkable seasonal dependence. Positive temperature anomalies spread over the entire domain in winter, while negative anomalies occur in the shelf seas in summer, although positive anomalies remain in the deep-water portion. The simulated sea ice concentration resembles the observed concentration. The strong seasonality of sea ice concentration changes suggests that accumulation of sea ice concentration in the Beaufort Sea and reduction in the Chukchi Sea are mainly produced in summer. Changes of ice thickness are robust through the seasonal cycle. Generally, sea ice dynamics play a critical role in creating the anomalous sea ice pattern and sea ice thermodynamics partially compensate the dynamically-driven changes. However, considerable seasonal differences occur.     

基于QTM的海平面上升分析与模拟

针对海平面上升影响范围分析与模拟这一国际前沿问题,通过研究基于球面四元三角网(QTM)的关键技术问题,包括复杂拓扑关系计算、LOD剖分、球面水淹分析、基于QTM的多分辨率的DEM数据组织方法和分析精度的相关性评定等,以.Net和Direct3D为开发工具,设计开发了基于QTM的海平面上升影响范围评估模型。该研究结果可为全球海平面上升影响的防灾减灾决策提供有效支撑,并推动了球面数据模型和球面格网拓扑分析的理论成果在全球变化预测相关领域的应用进展。     

2010年夏季北极海冰数值预报试验

为保障我国第四次北极科学考察的顺利开展,于2010年6～8月开展了北极海冰预报预测服务。预报试验基于MITgcm （麻省理工学院通用环流模式）,以NCEP GFS（美国国家环境预测中心全球预报系统）资料为大气强迫,初始化分别使用美国冰雪中心SSM/I（专用微波成像仪）或德国不莱梅大学AMSR-E（地球观测系统先进微波扫描辐射计）北极海冰密集度卫星资料。对2010年6～8月预报结果的初步评估表明,预报结果同卫星观测资料比较一致。在发生快速海冰变化的太平洋扇区,预报结果优于惯性预报,表明模式具有较好的局地海冰数值预报能力。     

北极海冰消融情景下环北极国家利益争端的动态博弈建模技术

以气温升高为主要特征的全球气候变化,致使北极海冰持续融化,北极地区丰富的资源、便捷的航行通道、重要的战略地位以及军事价值逐渐凸显出来。北冰洋沿岸的美国、俄罗斯、加拿大、丹麦和挪威等国家纷纷加入到北极利益争夺的行列中。为模拟和评估环北极国家在利益追逐中的合作与冲突行为的演化,基于博弈论思想,构建了环北极五国博弈的动态争端模型,提出了物质收益、惩罚损失和名誉收益等三个机制,综合考虑了气候变化、物质收益、国家关系与国家威望、国际法律法规等因素对环北极五国行为的综合影响。针对当前环北极各国在北极问题上的合作与争端开展了动态博弈建模,并对北极海冰完全消融情景时环北极各国在多种不同合作模式下的争端情况进行了模拟预估与实验仿真。     

北极海冰与大气环流耦合主模态的时空特征分析

对1979—2009年月平均的CFSR（The Climate Forecast System Reanalysis）海冰密集度（SIC）和海平面气压（SLP）资料进行多变量经验正交函数分解（MV—EOF）,得出耦合主模态,并通过对温度、位势高度和风场的回归分析,进一步探寻海冰与大气环流的关系,第一模态SLP的特征为北极涛动（AO）,SIC呈离散的正负中心分布但大体为东西反位相,AO正位相时,喀拉海、拉普捷夫海、东西伯利亚海和鄂霍次克海海冰减少,巴芬湾、波弗特海、楚科奇海和白令海海冰增加。耦合第二模态的SLP呈偶极子分布,负、正异常中心在巴伦支海和波弗特海,SIC在巴伦支海,弗拉姆海峡,格陵兰海,拉布拉多海和白令海,鄂霍次克海地区有正异常,在喀拉海、拉普捷夫海、东西伯利亚海、楚科齐海和波弗特海为负异常。耦合第三模态SLP在冰岛地区存在负异常中心,在拉普捷夫海地区有正异常中心,SIC在巴伦支海北部、弗拉姆海峡、格陵兰海为负异常,其余地区全为正异常。 对SLP和SIC分别进行EOF分解,并与耦合模态进行比较,SLP的EOF主模态的时空分布与耦合模态中SLP的时空分布十分相似,SIC的EOF模态的时空分布则与耦合模态中SIC的时空分布有较大差别,说明耦合模态对SIC的分布影响较大,即大气环流对海冰分布的影响为主要的过程,海冰对大尺度的大气环流的模态的影响不明显。     

一个北极区域冰海耦合模式的设置与应用

介绍了一个北极区域冰-海耦合数值模式的设置与应用。海洋模式基于MIT海洋环流数值模式,海冰动力学过程由Hibler的粘-塑模型发展而来。海冰的热力过程基于Winton提出的三层热力学模型。给出了耦合模式的基本框架,重点介绍了区域冰-海耦合系统中较为重要的程序包,如正交网格生成技术,中尺度涡的参数化,冰-海耦合及开边界处理等。以NCEP再分析资料为大气强迫场,模拟研究了北极夏季海冰范围异常的变化特征(1992—2007),模拟得到的海冰面积变化趋势与SSM/I观测资料进行了对比,两者相关系数达到0.88,模式基本反映了海冰的年际变化特征。以2007年为例,对比分析了9月份海冰密集度分布特征,模式结果得到的海冰范围略大于观测,但基本反映了2007年夏季海冰范围的衰减形态。     

论DEM地形分析中的尺度问题

DEM及其地形分析具有强烈的尺度依赖特征。本文以黄高原地区的研究为例,结合地学建模和地学模拟的需求,重点讨论DEM地形分析中的尺度问题。文中从DEM建立与应用出发,首先建立了DEM地形分析中的尺度概念体系,剖析了各类尺度之间的关系,其次讨论了尺度所引起的各种地形分析效应问题,最后探讨了DEM地形分析中的尺度转换类型和方法。     

A coupled ice-ocean ecosystem model for 1-D and 3-D applications in the Bering and Chukchi Seas

Primary production in the Bering and Chukchi Seas is strongly influenced by the annual cycle of sea ice.Here pelagic and sea ice algal ecosystems coexist and interact with each other.Ecosystem modeling of sea ice associated phytoplankton blooms has been understudied compared to open water ecosystem model applications. This study introduces a general coupled ice-ocean ecosystem model with equations and parameters for 1-D and 3-D applications that is based on 1-D coupled ice-ocean ecosystem model development in the landfast ice in the Chukchi Sea and marginal ice zone of Bering Sea.The biological model includes both pelagic and sea ice algal habitats with 10 compartments:three phytoplankton(pelagic diatom,flagellates and ice algae:D,F,and Ai),three zooplankton(copepods,large zooplankton,and micro-zooplankton :ZS,ZL,ZP),three nutrients(nitrate+nitrite,ammonium,silicon: NO_3,NH_4,Si) and detritus(Det).The coupling of the biological models with physical ocean models is straightforward with just the addition of the advection and diffusion terms to the ecosystem model.The coupling with a multi-category sea ice model requires the same calculation of the sea ice ecosystem model in each ice thickness category and the redistribution between categories caused by both dynamic and thermodynamic forcing as in the physical model.Phytoplankton and ice algal self-shading effect is the sole feedback from the ecosystem model to the physical model.     

南极海冰、冰穴和冰川冰及其对水团形成和变性的作用

本文利用前人的成果及笔者1992/1993年的南极海冰观测和收集的资料以及水文观测资料数据阐述了南极海冰的特性,特别是南极海冰过程、冰穴以及冰川冰对南极水团(南极表层水、南极底层水、南极陆架水、南极中层水以及南极冰架水)的形成和变性所起的特殊作用。 南极海冰覆盖面积的年际变化,夏季最大年份是最小年份的2倍多,冬季年间变化较小,最大仅为20％;但其季节变化非常大,冬季平均覆盖面积通常是夏季的5倍。南极海冰对大气-海洋间相互作用有重大影响,特别是深海洋区中冬季的结冰和发育造成的垂向对流、夏季的融化是形成南极表层水(含南极冬季水和南极夏季表层水),进而形成南极中层水的主要原因;南极陆架区的的海冰兴衰过程是形成南极陆架水的直接原因,它与变性南极绕极深层水混合并受到冰川冰的进一步冷却作用,成为形成南极底层水的主要水团;南极冰架底部的冷却、融化和冰架以下水体的结冰作用形成的高盐对流过程产生的南极冰架水,亦是形成南极底层水的贡献者。 冰穴是70年代以来卫星观测的重大发现。对其形成和对大气、海洋的影响作用尚不完全清楚,初步的研究成果表明,冰穴中产生的热盐对流对南极水团的形成、变性、大洋深层的翻转以及海洋-大气间的热量传输和气体交换起有非常重要的作用。     

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.     

海冰在海气交换中的作用及其与海雾的关系

本文用了 1 999年夏季中国首次北极科学考察队对海冰、大气和海洋进行的同步和准同步的综合立体观测所获取的资料 ,研究海冰在海 气相互作用中扮演的角色。发现海冰的种类、分布、冰厚等变化对海气热交换都有重要影响。在浮冰区海洋以潜热的形式向大气输送热量 ,潜热通量与浮冰密集度的大小密切有关 ,浮冰越少潜热通量越大 ,潜热通量约为2 1～ 2 3 .6W /m2 ,潜热通量大于感热通量 ;在冰盖和大浮冰块上 ,大气以感热的形式向冰雪面上输送热量。新生的浮冰区或冰间湖是海气热交换最激烈的地方 ,是气候最敏感的区域 ,是北冰洋蒸汽雾生成的重要条件。用层结大气整体动力学输送法 ,计算了一次大范围的蒸汽雾过程的海气热交换 ,海洋向大气输送的热量总功率约为 1 4 8亿千瓦 ,相当于中国发电能力的 69倍 ,相当于大西洋向北冰洋输送热量平均功率的 1 / 2 0。北冰洋的夏季能够形成各种类型的海雾 :辐射雾、蒸汽雾和平流雾 ,其重要原因就是因为海冰的存在 ,使下垫面的性质复杂化 ,海气交换复杂化。     

The onset of Pleistocene glaciation in the Barents Sea: implications for glacial isostatic adjustment

In this paper the effect of a delayed onset of glaciation in the Barents Sea on glacial isostatic adjustment is investigated. The model calculations solve the sea-level equation governing the total mass redistributions associated with the last glaciation cycle on a spherically symmetric, linear, Maxwell viscoelastic earth for two different scenarios for the growth phase of the Barents Sea ice sheet. In the first ice model a linear growing history is used for the Barents Sea ice sheet, which closely relates its development to the build-up of other major Late Pleistocene ice sheets. In the second ice model the accumulation of the Barents Sea ice sheet is restricted to the last 6 ka prior to the last glacial maximum.
The calculations predict relative sea levels, present-day radial velocities, and gravity anomalies for the area formerly covered by the Weichselian ice sheet. The results show that observed relative sea levels in the Barents Sea are appropriate for distinguishing between the different glaciation histories. In particular, present-day observables such as the free-air gravity anomaly over the Barents Sea, and the present-day radial velocities are sensitive to changes in the glaciation history on this scale.
A palaeobathymetry derived from relative sea-level predictions before the last glacial maximum based on the second ice model essentially agrees with a palaeobathymetry derived by Lambeck (1995). The additional emerged areas provide centres for the build-up of an ice sheet and thus support the theory of Hald, Danielsen & Lorentzen (1990) and Mangerud et al. (1992) that the Barents Sea was an essentially marine environment shortly before the last glacial maximum.     

Mass Balance of the Greenland Ice Sheet: Can Modern Observation Methods Reduce the Uncertainty?

The future contribution to sea level change from the large ice sheets in Greenland and Antarctica is composed of two terms: (i) a background trend determined by the past climate and dynamic history of the ice sheets on a range of time scales (decadal, millennial or even longer); and (ii) a rise/fall related to future climate change, whether due to anthropogenic effects or natural climate variability. The accelerating development of remote sensing techniques for monitoring ice sheet behaviour, and the use of high-resolution general circulation models to estimate temperature and precipitation changes are likely to result in improved estimates of the sensitivity of ice sheet mass balance to climate change and thereby to narrow down the uncertainty of contribution (ii). Contribution (i) is much more difficult to assess, because the mass balance displays large temporal variability on year-to-year and even on decadal time scales that masks the long-term trend. So, although modern remote sensing techniques enable accurate measurement of ice sheet surface elevation change, the mass changes derived from such measurements, even if performed over a period of several years, might just reflect a statistical fluctuation around the long-term background trend, which we must know in order to assess the future ice sheet contribution to sea level change on century and longer time scales. The measured volume changes must therefore be evaluated on the background of short- and long-term accumulation rates (e.g. determined from ice cores and high-resolution ice radar) and dynamic model studies of ice sheet evolution on century, millennial and longer time scales. The problems are illustrated by using the Greenland ice sheet as an example.     

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。     

High resolution simulations of Arctic sea ice, 1979–1993

To evaluate improvements in modelling Arctic sea ice, we compare results from two regional models at 1/12° horizontal resolution. The first is a coupled ice-ocean model of the Arctic Ocean, consisting of an ocean model (adapted from the Parallel Ocean Program, Los Alamos National Laboratory [LANL]) and the "old" sea ice model. The second model uses the same grid but consists of an improved "new" sea ice model (LANL/CICE) with a simple ocean mixed layer. Both models are forced with European Centre for Medium-range Weather Forecasts reanalysis data for 1979–1993. A comparison of the two sea ice models focuses on the winter of 1987 to emphasize the internal ice stress and to minimize biases towards a particular Arctic climate regime. The "new" sea ice model gives improved ice deformation and drift fields. These improvements are associated at least in part with the multi-category representation of the ice thickness distribution and more realistic parameterization of the ice strength. Long, narrow features in ice divergence and shear fields resemble those observed in SAR imagery, except that their average width is overestimated, possibly due to insufficient horizontal resolution. We also compare the mean sea ice drift and its decadal variability in two "old" sea ice models at different horizontal resolutions: 18-km and 9-km. We find no significant change in ice drift between the two models, except in areas of significant ice-ocean interactions due to more realistic ocean currents and water mass properties in the 9-km model.     

联合ERS-1和ICESAT卫星测高数据构建南极冰盖DEM

南极冰盖DEM在南极研究中具有十分重要的作用,而构建南极冰盖DEM的主要数据源来自于卫星测高。在已有的测高卫星数据中,ERS-1/GM和ICESAT在空间分辨率和精度方面存在互补的关系,综合利用这两类数据,是获得南极冰盖高分辨率高精度DEM的前提。本文采用了数据联合的方法,利用ERS-1和ICESAT测高数据来构建南极冰盖DEM。采用ICESAT离散数据和RAMP/DEM v2对综合DEM进行精度评估,结果表明综合DEM高程精度在4 m左右。     

Modeling seasonal variations of ocean and sea ice circulation in the Beaufort and Chukchi Seas:A model-data fusion study

A 3.8-km Coupled Ice-Ocean Model(CIOM) was implemented to successfully reproduce many observed phenomena in the Beaufort and Chukchi seas,including the Bering-inflow-originated coastal current that splits into three branches: Alaska Coastal Water(ACW),Central Channel,and Herald Valley branches.Other modeled phenomena include the Beaufort Slope Current(BSC),the Beaufort Gyre, the East Siberian Current(ESC),mesoscale eddies,seasonal landfast ice,sea ice ridging,shear,and deformation.Many of these downscaling processes can only be captured by using a high-resolution CIOM,nested in a global climate model.The seasonal cycles for sea ice concentration,thickness,velocity,and other variables are well reproduced with solid validation by satellite measurements.The seasonal cycles for upper ocean dynamics and thermodynamics are also well reproduced,which include the formation of the cold saline layer due to the injection of salt during sea ice formation,the BSC,and the subsurface upwelling in winter that brings up warm,even more saline Atlantic Water along the shelfbreak and shelf along the Beaufort coast.     

Sea ice thickness measurement in spring season in Bothnian Bay using an electromagnetic induction instrument

As an important component of the cryosphere,sea ice is very sensitive to the climate change.The study of the sea ice physics needs accurate sea ice thickness.This paper presents an electromagnetic-induction(EM) technique which can be used to measure the sea ice thickness distribution efficiently,and the successful application in Bothnian Bay.Based on the electromagnetic field theory and the electrical properties of sea ice and seawater,EM technique can detect the distance between the instrument and the ice/water interface accurately,than the sea ice thickness is obtained.Contrastive analysis of the apparent conductivity data obtained by EM and the value of drill-hole at same positions allows a construction of a transformable formula of the apparent conductivity to sea ice thickness.The verification of the sea ice thickness calculated by this formula indicates that EM technique is able to get reliable sea ice thickness with average relative error of only 12%.The statistic of all ice thickness profiles shows that the level ice distribution in Bothnian Bay was 0.4-0.6 m.     

The role of declining Arctic sea ice in recent decreasing terrestrial Arctic snow depths

The dramatic decline in Arctic sea ice cover is anticipated to influence atmospheric temperatures and circulation patterns. These changes will affect the terrestrial climate beyond the boundary of the Arctic, consequently modulating terrestrial snow cover. Therefore, an improved understanding of the relationship between Arctic sea ice and snow depth over the terrestrial Arctic is warranted. We examined responses of snow depth to the declining Arctic sea ice extent in September, during the period of 1979–2006. The major reason for a focus on snow depth, rather than snow cover, is because its variability has a climatic memory that impacts hydrothermal processes during the following summer season. Analyses of combined data sets of satellite measurements of sea ice extent and snow depth, simulated by a land surface model (CHANGE), suggested that an anomalously larger snow depth over northeastern Siberia during autumn and winter was significantly correlated to the declining September Arctic sea ice extent, which has resulted in cooling temperatures, along with an increase in precipitation. Meanwhile, the reduction of Arctic sea ice has amplified warming temperatures in North America, which has readily offset the input of precipitation to snow cover, consequently further decreasing snow depth. However, a part of the Canadian Arctic recorded an increase in snow depth driven locally by the diminishing September Arctic sea ice extent. Decreasing snow depth at the hemispheric scale, outside the northernmost regions (i.e., northeastern Siberia and Canadian Arctic), indicated that Arctic amplification related to the diminishing Arctic sea ice has already impacted the terrestrial Arctic snow depth. The strong reduction in Arctic sea ice anticipated in the future also suggests a potential long-range impact on Arctic snow cover. Moreover, the snow depth during the early snow season tends to contribute to the warming of soil temperatures in the following summer, at least in the northernmost regions.