北半球高纬地区年际尺度循环过程中的气-海-冰相互作用关系

基于一个全球气-海-冰耦合模式数值模拟结果,对北半球高纬度地区年际尺度的气-海-冰相互作用进行了分析。在所使用的全球气-海-冰耦合模式中,大气环流模式和陆面过程模式来自国家气候中心,海洋环流模式和海冰模式来自中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室。采用一种逐日通量距平耦合方案实现次网格尺度海冰非均匀条件下大气环流模式和海洋环流模式在高纬地区的耦合。只对50 a模拟结果中的后30 a结果进行了分析。在分析中,首先对滤波后的北半球高纬度地区海平面气压、表面大气温度、海表面温度、海冰密集度及海表面感热通量的标准化距平做联合复经验正交函数分解,取第一模进行重建,然后讨论了在一个循环周期(约4 a)中北半球高纬度地区气-海-冰的作用关系。结果表明:(1)当北大西洋涛动处于正位相时,格陵兰海出现南风异常,使表面大气温度升高,海洋失去感热通量减少,海洋表面温度升高,海冰密集度减小;当北大西洋涛动处于负位相时,格陵兰海出现北风异常,使表面大气温度降低,海洋失去感热通量增多,海洋表面温度降低,海冰密集度增加。巴伦支海变化特点与格陵兰海相似,但在时间上并不完全一致。(2)多年平均而言,北冰洋内部靠近极点区域为冷中心。当北冰洋内部为低压异常时,因异常中心偏向太平洋一侧,使北冰洋内部靠近太平洋部分为暖平流异常,靠近大西洋一侧为冷平流异常。伴随着暖、冷平流异常,这两侧分别出现暖异常和冷异常,海表面给大气的感热通量分别偏少和偏多,上述海区海表面温度分别偏高和偏低,海冰密集度分别偏小和偏大。当北冰洋内部为高压异常时特点正好与上述相反。由上述分析结果可知,在海洋、大气年际循环中,大尺度大气环流变率起主导作用,海洋表面温度和海冰密集度变化主要是对大气环流变化的响应。     

春季格陵兰海冰变化及与北大西洋涛动和北极涛动的联系

采用长序列(1903—1994年)GISST海冰面积和海表温度(SST)资料、NCEP／NCAR再分析资料等，分析了春季格陵兰海冰面积年代际变化特征及其同北大西洋海气变化的关系。结果表明：春季格陵兰海冰面积变化的主要特征可由海冰变化的EOF第一主分量表示。春季海冰变化与前冬NAO／AO以及冬春1—4月份北大西洋墨西哥湾流区SST具有明显的反相变化趋势，且均具有准60a的周期变化特征。海洋向大气的热量输送(感热、潜热)受到海冰变化的显著影响(冰多输送少)。海冰作为大气的冷源，也明显影响地表净辐射的变化。进而，春季海冰变化可影响后期的大气环流变化：海冰面积偏大(偏小)，冰岛低压和阿留申低压偏弱(偏强)，夏季北非和亚洲大陆的SLP明显偏低(偏高)，两大陆夏季热低压加强(减弱)。     

一个海-冰-气耦合模式中格陵兰海海冰年际变异及其成因的个例分

利用一个全球海-冰-气耦合模式模拟结果, 选取冬季年际变率最大的海冰区--格陵兰海海冰区中的一个4年海冰剧烈变化过程展开分析, 试图探讨此个例过程中海冰剧烈变化的原因.结果表明, 在此个例中, 该区域海冰年际变异主要是由大气环流异常驱动的, 海表面温度和海冰密集度变化主要是对大气环流变化的响应.海表面温度变化决定着海冰范围及海冰密集度的变化, 但海冰变化时通过相变潜热的释放或吸收反过来对海表面温度变化有一定影响.     

冬季北太平洋海表面热通量异常和海气相互作用的耦合模式模拟

基于中国科学院大气物理研究所大气科学与地球流体力学数值模拟国家重点实验室(LASG/IAP)开发的耦合气候系统模式FGOALS_s1.0控制试验的积分结果,分析了冬季北太平洋海表面湍流热通量(潜热和感热通量之和)异常及其对海表面温度(SST)异常的影响,并通过分析海温倾向方程,比较了各因子对SST变率的相对贡献.结果表...     

北极海冰减少及其与相关气象场的联系

利用 195 3— 1998年北极海冰资料及相应的海平面气压场和我国东北 4 2°N以北 2 2个台站气温资料 ,应用统计分析方法 ,研究海冰和气象场的年际和年代际变化以及它们的联系。得到如下结论 :(1)高纬各纬度带和主要海域的海冰范围都呈现明显的衰减现象 ,6 0°N以北纬带趋势项的方差贡献超过总方差一半 ,远远大于周期项的方差贡献 ,此海域更明显显示近年海冰减少的现象。 (2 )巴伦支海和格陵兰海 ,海冰的年代际变化具有明显的 10年以上的周期变化特点 ,也存在明显的减少趋势 ;而拉布拉多海和白令海海冰主要是 10年以上的周期变化。 (3)自 90年代开始 ,海冰均发生陡然减少的现象 ,对全球气候变暖现象 ,海冰的变化是十分敏感的。 (4) 4 0°N以北的各纬度带的海平面气压的总体趋势是下降的 ,北冰洋涛动指数明显显示海平面气压场的减少趋势和 90年代前后的显著性差异。 (5 )与海平面气压的下降相对应 ,我国东北的温度是明显上升的。 (6 )北冰洋涛动能制约巴伦支海、格陵兰海和拉布拉多海域的海冰范围 ,也与我国东北温度有十分密切的联系。当AO指数偏大时 ,即冬季冰岛附近海平面气压偏低时 ,巴伦支海和格陵兰海海冰范围缩小 ,而拉布拉多海海冰范围扩大 ;我国东北冬半年的温度出现明显上升。     

西太平洋-南海地区潜热通量长期变化趋势的南北差异及成因分析

利用1958~2014年美国伍兹霍尔海洋研究所客观分析海气通量项目(OAFlux)的月平均潜热通量和相关气象要素数据,以及NCEP/NCAR再分析表面气压数据,通过Trend-EOF分析方法,本文研究了西太平洋—南海地区潜热通量的长期变化趋势。发现西太平洋—南海地区潜热通量整体呈上升的趋势,其中冬季上升趋势最强。冬季潜热通量趋势存在明显的南北差异,特别是在南海地区,南海北部为上升趋势而南部为下降趋势。南海北部以及菲律宾海地区冬季潜热通量上升的主要原因是海气比湿差的增大,而南海南部潜热通量呈下降趋势,在东侧主要原因是风速减小,在西侧主要原因是海气比湿差减小。南海潜热通量长期趋势的南北差异是风速和海气比湿差的共同作用造成的。另外,研究发现风速变化趋势受到局地环流变化的影响,在表面气压下降中心线以北地区为上升趋势,在其以南为下降趋势,而海气比湿差的变化趋势则主要取决于海表温度的变化趋势。     

北太平洋海气界面湍流热通量的年际变化

本文采用美国伍兹霍尔海洋研究所客观分析海气通量项目提供的1958～2006年月平均的湍流热通量及相关气象场数据, 利用EOF分析、小扰动方法、线性回归、相关分析等方法研究了北太平洋海气界面湍流热通量年际变化的时空特征、 影响因子及其与大气环流的关系。结果表明, 北太平洋湍流热通量的年际变化在冬季最为显著。我国东部海域及其向中东太平洋的延伸部分为冬季潜热通量和感热通量年际变化的关键区。冬季潜热通量的年际变化在副热带太平洋和菲律宾海域主要受风速变化影响, 在北太平洋的高纬和低纬海域尤其是赤道中太平洋主要受比湿差变化影响, 而冬季感热通量的年际变化在整个北太平洋都主要受海气温差变化影响。受大尺度环流影响, 异常低压中心的东 (西) 侧海气比湿差和海气温度差偏小 (偏大), 所以异常低压中心的东 (西) 侧潜热输送和感热输送偏弱 (偏强)。     

1966～1991年北极海冰模拟结果与观测的对比

利用宇如聪等1995年建立的北极区域冰-洋耦合模式,以1966～1991年期间逐月的月平均实测海平面气温和气压场为强迫场,模拟了上述26年间北极海冰的时间演变和空间分布,着重分析了大西洋及欧洲沿岸一侧的巴伦支海和格陵兰海的海冰状况,并与目前能够得到的北极海冰密集度观测资料做了对比,结果表明:（1）模式对巴伦支海海冰年际变化的模拟是比较成功的,表现在不仅模拟的1969～1979和1979～1987这两个时段的主要变化趋势和观测事实比较一致,而且模拟出了1979和1984这两个多冰和少冰的极端年份。模拟的主要     

秋季北极海冰变化对长江中下游地区冬季气温的影响

利用英国哈德莱中心海冰密集度资料,通过相关、合成等统计方法分析秋季北极海冰变化对长江中下游地区冬季气温的影响,发现拉普捷夫海以北及东西伯利亚海以东海区的海冰密集度变化可作为预测长江中下游地区冬季气温的前兆信号。当拉普捷夫海以北及东西伯利亚海以东海区海冰密集度偏高时,欧亚中高纬中部地区2 m气温经向梯度增大,乌拉尔山地区阻塞偏弱,欧亚中高纬以纬向环流为主,长江中下游冬季气温偏高,反之亦然。     

BCC_CSM北极海冰模拟性能的改进对东亚冬季气候模拟的影响

国家气候中心气候系统模式(BCC_CSM)将美国Los Alamos国家实验室发展的海冰模式CICE5.0替代原有的海冰模式SIS,形成一个新版本耦合模式,很好地提高了模式对北极海冰和北极气候的模拟能力。在此基础上,本文评估新耦合模式对1985—2014年东亚冬季气候的模拟性能,检验北极海冰模拟性能的改进对东亚冬季气候模拟性能的影响。结果表明,引入CICE5.0后,新耦合模式能较好地模拟出东亚冬季海平面气压、850 hPa风场以及辐射通量,进而改善东亚气温以及降水的气候态空间分布模拟效果。进一步分析发现,与原有耦合模式相比,新耦合模式更好地抓住了东亚冬季海平面气压、总降水量和气温异常对同期巴伦支海-喀拉海海冰密集度异常的响应,进而提高了模式对东亚冬季中高纬度地区气温以及降水变率的模拟能力。     

Impacts of the Autumn Arctic Sea Ice on the Intraseasonal Reversal of the Winter Siberian High

During 1979–2015, the intensity of the Siberian high(SH) in November and December–January(DJ) is frequently shown to have an out-of-phase relationship, which is accompanied by opposite surface air temperature and circulation anomalies.Further analyses indicate that the autumn Arctic sea ice is important for the phase reversal of the SH. There is a significantly positive(negative) correlation between the November(DJ) SH and the September sea ice area(SIA) anomalies. It is suggested that the reduction of autumn SIA induces anomalous upward surface turbulent heat flux(SHF), which can persist into November, especially over the Barents Sea. Consequently, the enhanced eddy energy and wave activity flux are transported to mid and high latitudes. This will then benefit the development of the storm track in northeastern Europe. Conversely, when downward SHF anomalies prevail in DJ, the decreased heat flux and suppressed eddy energy hinder the growth of the storm track during DJ over the Barents Sea and Europe. Through the eddy–mean flow interaction, the strengthened(weakened)storm track activities induce decreased(increased) Ural blockings and accelerated(decelerated) westerlies, which makes the cold air from the Arctic inhibited(transported) over the Siberian area. Therefore, a weaker(stronger) SH in November(DJ) occurs downstream. Moreover, anomalously large snowfall may intensify the SH in DJ rather than in November. The ensemble-mean results from the CMIP5 historical simulations further confirm these connections. The different responses to Arctic sea ice anomalies in early and middle winter set this study apart from earlier ones.     

与夏季北太平洋副热带中尺度海洋涡旋相联系的海气关系

采用高分辨率卫星和再分析资料,利用涡旋探测技术、滤波和合成分析等方法,对夏季北太平洋副热带地区中尺度海洋涡旋与大气的耦合关系进行了分析。结果表明:在日时间尺度上,海洋涡旋的海表温度（Sea SurfaceTemperature,简称SST）与海表风速之间不仅存在同位相的正相关关系,还存在反位相的负相关关系,即在涡旋这种中尺度上既存在海洋对大气的强迫,也存在大气对海洋的强迫。海表风速与SST同位相时,对暖（冷）涡来说,向上（下）的净热通量增强,云和降水增多（减少）;其海水温度异常和海流旋度较强,暖（冷）涡较为深厚,一定程度上表明了海洋对大气的强迫。海表风速与SST反位相时,对暖（冷）涡而言,当其处在正（负）位势高度异常、中低层相对湿度较小（大）、气温较高（低）的大气配置下,海表风速较小（大）;同时向下（上）净热通量增强,云和降水减少（增多）;涡旋海水温度异常和海流旋度较弱,这种暖（冷）涡较为浅薄;表明晴空（阴雨）条件下有利于暖（冷）涡的维持,一定程度上反映了大气对海洋的强迫作用。     

渤海海冰单点模式的气候模拟

利用PW1979海冰热力模式，考虑渤海的地理特点和气候特征，假设渤海为薄层海洋，引入二分法求解海冰表面温度。用该地区气候平均的云量、湿度、海平面气压和风速以及附近4站的月平均气温资料作为强迫场，模拟了渤海海冰的气候变化。模拟结果与逐年的海冰级数资料具有一致的变率，表明气温对海冰年际变化有重要影响。     

Interannual variability of sea‐ice cover in Hudson bay,Baffin bay and the Labrador sea

Abstract

The spatial and temporal relationships between subarctic Canadian sea‐ice cover and atmospheric forcing are investigated by analysing sea‐ice concentration, sea‐level pressure and surface air temperature data from 1953 to 1988. The sea‐ice anomalies in Hudson Bay, Baffin Bay and the Labrador Sea are found to be related to the North Atlantic Oscillation (NAO) and the Southern Oscillation (SO). Through a spatial Student's i‐test and a Monte Carlo simulation, it is found that sea‐ice cover in both Hudson Bay and the Baffin Bay‐Labrador Sea region responds to a Low/Wet episode of the SO (defined as the period when the SO index becomes negative) mainly in summer. In this case, the sea‐ice cover has a large positive anomaly that starts in summer and continues through to autumn. The ice anomaly is attributed to the negative anomalies in the regional surface air temperature record during the summer and autumn when the Low/Wet episode is developing. During strong winter westerly wind events of the NAO, the Baffin Bay‐Labrador Sea ice cover in winter and spring has a positive anomaly due to the associated negative anomaly in surface air temperature. During the years in which strong westerly NAO and Low/Wet SO events occur simultaneously (as in 1972/73 and 1982/83), the sea ice is found to have large positive anomalies in the study region; in particular, such anomalies occurred for a major portion of one of the two years. A spectral analysis shows that sea‐ice fluctuations in the Baffin Bay‐Labrador Sea region respond to the SO and surface air temperature at about 1.7‐, 5‐ and 10‐year periods. In addition, a noticeable sea‐ice change was found (i.e. more polynyas occurred) around the time of the so‐called “climate jump” during the early 1960s. Data on ice thickness and on ice‐melt dates from Hudson Bay are also used to verify some of the above findings.     

冬季北半球大气对秋冬季巴伦支海海冰异常的敏感性研究

基于ERA-Interim再分析资料,借助大气模式CAM4,分析了北半球冬季不同月份的平均大气对巴伦支海不同振幅及不同季节海冰扰动的敏感性,并考察了中高纬度典型大气模态的分布变化情况。结果表明,冬季巴伦支海海冰的减少,会导致湍流热通量异常向上、局地异常变暖及水汽含量的异常升高,且相关异常的强度和范围随着海冰减少幅度的减小而减弱。这种局地响应会通过大气环流调整扩散开来,产生远程影响。具体地,冬季大气环流与欧亚地面温度异常对于不同幅度海冰异常的响应是非线性的,且在不同月份也呈现出不同特征。秋季巴伦支海海冰减少虽未引起局地显著的温度异常,但欧亚大陆温度及环流场异常响应的强度更强、范围更广,这表明秋季海冰可以独立地对冬季中纬度大气产生影响。此外,冬季不同月份西伯利亚高压强度、位置对巴伦支海海冰减少的响应是不同的,北大西洋涛动位相的倾向变化对不同季节、不同振幅海冰减少的响应也不相同。冬季海冰减少时,12月和1月,西伯利亚高压强度更易偏强、位置易偏东,2月则与之相反。与冬季相比,秋季海冰偏少时,西伯利亚高压更易稳定维持在欧亚大陆,晚冬时发生北大西洋涛动负位相的概率增大,但出现极端负位相概率降低。这为了解巴伦支海海冰异常对北半球天气、气候的影响提供了参考。      

A DIAGNOSTIC ANALYSIS OF THE RELATIONSHIP BETWEEN THE FLUXES AND METEOROLOGICAL ELEMENTS OVER TROPICAL WESTERN PACIFIC

Through the use of the hourly wind, air temperature and humidity, sea surface temperature data measured on board the observing vessel Moana Wave and buoy in the warm pool of western Pacific during the IOP of TOGA COARE, we compute the fluxes over sea surface and analyze the characteristics of the variation ofthe latent heat flux with sea surface temperature. During weak rather than strong wind periods a maximum valueof latent heat flux appears at some points of SST, which is caused mainly by the variations of wind, then by the humidity difference between air and sea and the transfer coefficient with SAT. Using correlation analysis. we also analyze the relationship between the fluxes and meteorological elements during weak wind periods. wester lywind burst periods, and convective disturbed periods etc. The main conclusions are that the latent heat flux ismainly determined by wind, sensible heat flux by the potential temperature difference between air and sea and the momentum flux by wind. The precipitation affects the sensible heat flux through the potential temperature difference and wind.     

Sea ice in the Barents Sea: seasonal to interannual variability and climate feedbacks in a global coupled model

Sea ice variability in the Barents Sea and its impact on climate are analyzed using a 465-year control integration of a global coupled atmosphere–ocean–sea ice model. Sensitivity simulations are performed to investigate the response to an isolated sea ice anomaly in the Barents Sea. The interannual variability of sea ice volume in the Barents Sea is mainly determined by variations in sea ice import into Barents Sea from the Central Arctic. This import is primarily driven by the local wind field. Horizontal oceanic heat transport into the Barents Sea is of minor importance for interannual sea ice variations but is important on longer time scales. Events with strong positive sea ice anomalies in the Barents Sea are due to accumulation of sea ice by enhanced sea ice imports and related NAO-like pressure conditions in the years before the event. Sea ice volume and concentration stay above normal in the Barents Sea for about 2 years after an event. This strongly increases the albedo and reduces the ocean heat release to the atmosphere. Consequently, air temperature is much colder than usual in the Barents Sea and surrounding areas. Precipitation is decreased and sea level pressure in the Barents Sea is anomalously high. The large-scale atmospheric response is limited with the main impact being a reduced pressure over Scandinavia in the year after a large ice volume occurs in the Barents Sea. Furthermore, high sea ice volume in the Barents Sea leads to increased sea ice melting and hence reduced surface salinity. Generally, the climate response is smallest in summer and largest in winter and spring.     

冬春季格陵兰海冰变化与初夏中国气温/降水关系的初步分析

采用英国Hadley中心GISST海冰面积资料，NCEP／NCAR再分析资料以及中国地面降水和气温资料，运用EOF分解，小波分析和合成分析等方法，初步探讨了格陵兰岛两侧附近冬春季海冰面积变化特征及其与初夏6月中国气温和降水的关系，结果表明，格陵兰岛东西两侧海冰面积呈显著反相变化，并且具有明显的年际和年代际周期性振荡，冬春季格陵兰－寻威海海冰与初夏6月中国长江以北气温（降水）正相关（反相关），与长江以南气温（降水）反相关（正相关），而对于戴维斯海峡－拉布拉多海海冰则具有相反的相关型，大尺度500hPa环流合成分析初步表明，冬春季格陵兰附近海冰面积变化伴随着北极极涡环流和北半球阻塞高压的持续异常，海冰变化可能是影响初夏中国气温和降水的因子之一。     

Atmospheric Precursors of and Response to Anomalous Arctic Sea Ice in CMIP5 Models

This study examines pre-industrial control simulations from CMIP5 climate models in an effort to better understand the complex relationships between Arctic sea ice and the stratosphere, and between Arctic sea ice and cold winter temperatures over Eurasia. We present normalized regressions of Arctic sea-ice area against several atmospheric variables at extended lead and lag times. Statistically significant regressions are found at leads and lags, suggesting both atmospheric precursors of, and responses to, low sea ice; but generally, the regressions are stronger when the atmosphere leads sea ice, including a weaker polar stratospheric vortex indicated by positive polar cap height anomalies. Significant positive midlatitude eddy heat flux anomalies are also found to precede low sea ice. We argue that low sea ice and raised polar cap height are both a response to this enhanced midlatitude eddy heat flux. The so-called "warm Arctic, cold continents" anomaly pattern is present one to two months before low sea ice, but is absent in the months following low sea ice, suggesting that the Eurasian cooling and low sea ice are driven by similar processes. Lastly, our results suggest a dependence on the geographic region of low sea ice, with low Barents–Kara Sea ice correlated with a weakened polar stratospheric vortex, whilst low Sea of Okhotsk ice is correlated with a strengthened polar vortex. Overall, the results support a notion that the sea ice, polar stratospheric vortex and Eurasian surface temperatures collectively respond to large-scale changes in tropospheric circulation.     

An Unprecedented Record Low Antarctic Sea-ice Extent during Austral Summer 2022

Seasonal minimum Antarctic sea ice extent (SIE) in 2022 hit a new record low since recordkeeping began in 1978 of 1.9 million km² on 25 February, 0.17 million km² lower than the previous record low set in 2017. Significant negative anomalies in the Bellingshausen/Amundsen Seas, the Weddell Sea, and the western Indian Ocean sector led to the new record minimum. The sea ice budget analysis presented here shows that thermodynamic processes dominate sea ice loss in summer through enhanced poleward heat transport and albedo–temperature feedback. In spring, both dynamic and thermodynamic processes contribute to negative sea ice anomalies. Specifically, dynamic ice loss dominates in the Amundsen Sea as evidenced by sea ice thickness (SIT) change, while positive surface heat fluxes contribute most to sea ice melt in the Weddell Sea.