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1.
北极秋季海冰减少与亚洲大陆冬季温度异常 总被引：1，自引：1，他引：0
本文使用SVD等诊断分析方法探讨北极秋季海冰密集度与亚洲冬季温度异常之间的关系。结果表明,近30余年来,北极秋季海冰减少伴随着亚洲大陆冬季温度降低,但青藏高原地区、北冰洋和北太平洋沿岸除外。北极秋季海冰密集度减小激发欧亚大陆和北冰洋北部两个区域位势高度的改变,这种异常的变化模态从秋季持续到冬季。位势高度异常的负值中心位于巴伦支海和喀拉海。位势高度异常的正值中心位于蒙古区域。与重力位势高度异常伴随的风场异常为亚洲冬季温度降低提供自北向南的冷气流。随着北极海冰的不断减少,其与亚洲大陆冬季温度降低之间的关系将为气候长期预测提供参考。 相似文献
2.
中国近50年寒潮冷空气的时空特征及其与北极海冰的关系 总被引：2，自引：0，他引：2
利用中国具有较长时间序列的527个站点1961—2010年的日平均温度观测资料,美国国家环境预报中心和国家大气研究中心(NCEP/NCAR)再分析资料以及伊利莱诺斯大学的海冰密集度资料,分析了我国近50年来寒潮的时空变化及与其相联系的海冰和大气环流异常的关系。结果表明,中国寒潮冷空气活动频数存在两个主要模态,第一模态表现在中国北方冷空气活动频数呈年代际减少趋势,1980年之前寒潮冷空气频数偏多,1990年后寒潮冷空气频数偏少;第二模态表现为我国南方冷空气频数的年际振荡特征。第一模态寒潮冷空气频数的减少主要与全球变暖有关,北极海冰的减少使得1980年代后期北极涛动加强,并激发出欧亚遥相关波列进而影响我国的寒潮冷空气活动。第二模态则与近些年来夏季北极海冰的快速融化以及北极大气出现偶极子型环流异常有关,通过激发跨极型和类欧亚遥相关波列影响到后冬的中国南方寒潮冷空气活动增多。 相似文献
3.
过去的几个冬季中,北美、欧洲、西伯利亚和东亚大部分地区经历了冷冬和强降雪,而这与北极海冰的快速减少有关。尽管北极海冰减少在冷冬和强降雪中的作用仍存在争议,但这种新兴的气候反馈在未来变暖背景下是否会持续仍值得关注。中等排放情境下的气候模式模拟结果揭示,欧洲东北部、亚洲中部北部、北美北部的冬季降雪增加会成为贯穿21世纪的一个稳健的特征。21世纪这些区域冬季降雪增加的主要原因是北极秋季海冰的减少（很大的外部强迫）,而冬季北极涛动的变化（北半球主要的自然变化形态）对降雪增加的作用很小。这一结果不仅体现在多模式平均上,而且每个单独模式的结果依然如此。我们认为海冰-降雪之间的强反馈作用可能已经出现,并且在接下来的几十年中这种强反馈作用可能会增强,北半球高纬地区的强降雪事件也会增加。 相似文献
4.
本文选取最近二十年(1998—2017年)中国江南地区降水和北极海冰为研究对象,分析了年际时间尺度上中国江南地区降水异常与北极海冰异常的关系,并进一步通过研究关键区附近罗斯贝长波(Rossby长波)的波射线路径和中国中纬度地区波作用通量的传播异常,揭示了北极海冰通过Rossby波大气桥的调制作用影响江南地区降水的可能机制。结果表明:夏、秋季东西伯利亚海与巴芬湾的海冰密集度异常与次年中国江南地区降水异常存在显著的正相关关系。其影响机制是:关键海区海冰异常和北极放大能够激发Rossby波列型遥相关从北极关键区向中国中纬度地区传播,而关键区附近的Rossby波扰动能量在夏、秋季比冬、春季更容易传播至中国中纬度地区,并最终通过上下游遥相关效应引发中纬度副热带西风急流异常和急流入口区右侧江南地区的环流和降水异常,当海冰偏多时西风急流加强,江南地区对流不稳定发展,降水偏多。 相似文献
5.
海冰消融背景下北极增温的季节差异及其原因探讨 总被引：7，自引：2，他引：5
运用哈德莱中心第一套海冰覆盖率(HadISST1)、欧洲中心(ERA_Interim)的温度以及NCEP第一套地表感热通量、潜热通量等资料,研究了1979—2011年33a来北极海冰消融的季节特点和空间特征,并从反照率——温度正反馈与地表感热通量、潜热通量等方面分析了海冰减少对北极增温影响的季节差异。结果表明,北极海冰在秋季和夏季的减少范围明显大于冬季和春季,而北极地表升温却在秋季和冬季最显著,夏季最为微弱,且夏季的增温趋势廓线也与秋冬季显著不同。这主要是因为夏季是融冰季,海冰融化将吸收潜热。且此时北极低空大气温度高于海表温度,海水相当于大气的冷源。随着海冰的消融,更多的热量由大气传入海洋用于融冰和加热上层海水,这使得夏季的低空大气不能显著升温。而在秋冬季,海冰凝结释放潜热,且此时低空大气温度远低于海水温度,海冰的减少使得海水将更多热量释放到大气中导致低空大气显著增暖。海水对大气的这种延迟放热机制是北极低空在夏季增温不显著而在秋冬季增温显著的主要原因。此外,秋冬季的海冰减少与北极近地面升温具有非常一致的空间分布,北冰洋东南边缘和巴伦支海北部分别是秋季和冬季海气相互作用的关键区域。 相似文献
6.
南极威德尔海区域海冰异常对初夏东亚大气环流和天气影响的数值研究 总被引：5，自引：2，他引：3
利用经过改变用于长期数值预报的CCM1(R15L7)模式以1975年1月16日00Z模式适应场为初始场积分5个月,研究南极威德尔海附近(60°W～30°E)海冰的面积异常对东亚初夏环流转换季节的影响.发现当南极海冰偏多时,在亚洲北部冷空气活动在初夏仍然很多,势力还很强,东亚南北两支急流分支仍很明显,各种环流特征更偏向于冬季型,不利于东亚初夏的环流季节转换.海冰异常偏少时则相反,亚洲北部的冷空气活动明显减弱,南方暖气流势力明显加强北移,东亚的两支急流也趋于合并北抬,环流形势更接近于夏季型,海冰的减少促进了东亚初夏的环流季节转换过程. 相似文献
7.
北极冬季季节性海冰双模态特征分析 总被引：1，自引：1，他引：0
近年来北极海冰快速变化,北极中央区边缘正由以多年冰为主转为季节性海冰为主。通过对北极冬季季节性海冰的EOF分解发现,2002-2012年期间北极季节性海冰变化的前两模态主要体现为2005年和2007年的季节性海冰距平。其中第二模态主要体现了北极海冰在2005年的一种极端变化,而第一模态不仅体现了北极海冰在2007年的变化,还体现了北极季节性海冰的从负位相到正位相的转变。通过比较发现,在研究时段北极季节性海冰最主要的变化发生在北极太平洋扇区,在2007年,冬季季节性海冰距平发生位相转变,2007-2010年一直维持正位相,北极太平洋扇区冬季季节性海冰保持显著正距平。太平洋扇区表面温度最大异常也发生在2007年,从大气环流来看,2007年之后波弗特海区异常高压有利于夏季太平洋扇区海冰的减少,而西风急流的减弱有利于夏季波弗特海区异常高压的维持,结合夏季海冰速度,顺时针的冰速分布有利于海冰离开太平洋扇区,因而会导致冬季太平洋扇区季节性海冰转为正距平并且从2007年一直维持到2010年。 相似文献
8.
9.
基于欧洲中期天气预报中心(ECMWF)的ERA_interim全球再分析数据集,利用客观算法识别和追踪温带气旋,分析了1979—2014年冬季(12月—次年2月)北太平洋(120°E~120°W,20°N~80°N)的温带气旋活动特征及其变化,探讨了冬季风暴路径与秋季北极海冰异常的关系。北太平洋温带气旋活动的气候态显示为自日本以东洋面至阿拉斯加湾北部的风暴路径。对30°N以北气旋活动频率异常的EOF分析显示其第一模态为太平洋气旋活动的南北向偶极子结构,表示风暴路径南北摆动的变化特征,且有向北偏移的趋势。第二模态的空间分布表现为40°N~60°N之间的大陆沿岸和太平洋洋面上呈相反的分布形势。时间系数的回归分析显示,冬季太平洋风暴路径的南北摆动与秋季(9—11月)东西伯利亚海-波弗特海海冰的异常显著相关。该海区秋季海冰减少导致冬季阿留申低压区呈高压异常,西风急流北移,45°N~75°N之间的大气斜压性增强而45°N以南大气斜压性减弱,从而使风暴路径向45°N以北偏移。 相似文献
10.
《中国海洋大学学报(自然科学版)》2020,(Z1)
本文采用经验正交函数分析、线性回归、相关性分析等方法对1982—2017年乌拉尔阻塞(UB)与巴伦支-喀拉海(BKS)海冰季节特征及其相关关系进行分析发现,UB活动频率与BKS海冰密集度均有较强的季节性周期变化,且不同季节BKS海冰与UB相关性不同。进一步对秋季UB与冬季BKS海冰的相关关系分析发现:秋季UB频率在BKS及其周边区域增多的年份里,秋季到冬季结冰期内,局地BKS海域500hPa位势高度持续增加、低层大气温度持续升高;同时,秋季BKS海域海表面温度异常增暖持续至冬季。上述海洋、大气条件不利于结冰期BKS海冰的冻结,因此这些年份里冬季BKS海冰密集度减少。此外,秋季BKS海冰减少也伴随着冬季UB高纬度频率增加。 相似文献
11.
dimethylsulphide (DMS)的海空通量是海洋生物气溶胶的主要来源之一,对气候（特别是北冰洋的气候）具有重要的辐射影响。利用卫星数据得到的气溶胶光学深度(AOD)作为气溶胶负荷的代表,在夏季和秋季表现的尤其明显。春季海冰的融化是北极气溶胶前体的重要来源。然而,早春的高浓度气溶胶可能与南方大陆污染的平流有关(北极霾)。更高的AOD通常在研究区域的南部出现。海冰浓度(SIC)和AOD呈正相关,而云盖(CLD)和AOD则呈负相关。SIC和CLD的季节性峰值均在AOD峰值的前一个月。AOD与SIC之间存在强烈的正相关关系。融冰与叶绿素（CHL)几乎在3月至9月呈正相关,但与春季和初夏的AOD呈负相关。春季和初夏较高的AOD有可能是由融冰和春季强风在该地区的结合影响。由于春季风的升高和冰的融化,在春季出现了DMS通量的峰值。从3月到五月,DMS浓度和AOD及融冰都呈正相关。早秋季升高的AOD可能与浮游植物合成的生物气溶胶的排放有关。到2100年，格陵兰海的DMS通量将增加3倍以上。生物气溶胶的显著增加可以部分抵消格陵兰海的增温现象。 相似文献
12.
Possible impact of reduced Arctic sea-ice on winter severe weather in China is investigated regarding the snowstorm over southern China in January 2008. The sea-ice conditions in the summer （July-September） and fall （September-November） of 2007 show that the sea-ice is the lowest that year. During the summer and fall of 2007, sea ice displayed a significant decrease in the East Siberian, the northern Chukchi Sea, the western Beaufort Sea, the Barents Sea, and the Kara Sea. A ECHAM5.4 atmospheric general circula- tion model is forced with realistic sea-ice conditions and strong thermal responses with warmer surface air temperature and higher-than-normal heat flux associated with the sea-ice anomalies are found. The model shows remote atmospheric responses over East Asia in January 2008, which result in severe snowstorm over southern China. Strong water-vapor transported from the Bay of Bengal and from the Pacific Ocean related to Arctic sea-ice anomalies in the fall （instead of summer） of 2007 is considered as one of the main causes of the snowstorm formation. 相似文献
13.
利用1951—2015年NOAA气候预测中心的SST扩展重建资料（ERSST V3b）、国家气候中心提供的我国160站月降水量资料、美国国家环境预报中心/大气研究中心（NCEP/NCAR）提供的各气压层的水平风速、垂直速度和比湿资料,研究了印度洋不同海温模态对两类厄尔尼诺事件与我国南方秋季降水关系的影响。结果表明,虽然东部型（中部型）厄尔尼诺年秋季我国长江以南地区降水偏多（少）,但当东部型厄尔尼诺与印度洋正偶极子同时发生年秋季,我国长江以南地区降水偏多的程度显著提高;当中部型厄尔尼诺与印度洋正偶极子同时发生年秋季,我国西南地区降水转为偏多,其他南方地区降水仍然偏少;当中部型厄尔尼诺与印度洋一致增暖型海温同时发生年秋季,我国整个长江以南地区降水偏少,且偏少的幅度要显著高于不考虑印度洋海温异常的情况。此外还对印度洋不同海温模态对两类厄尔尼诺事件与我国南方秋季降水关系的影响的环流成因进行了分析。 相似文献
14.
By using the Arctic runoff data from R-ArcticNET V4.0 and ArcticRIMS, trends of four major rivers flowing into the Arctic Ocean, whose climate factor plays an important role in determining the variability of the Arctic runoff, are investigated. The results show that for the past 30 years, the trend of the Arctic runoff is seasonally dependent. There is a significant trend in spring and winter and a significant decreasing trend in summer, leading to the reduced seasonal cycle. In spring, surface air temperature is the dominant factor influencing the four rivers. In summer, precipitation is the most important factor for Lena and Mackenzie, while snow cover is the most important factor for Yenisei and Ob. For Mackenzie, atmospheric circulation does play an important role for all the seasons, which is not the case for the Eurasian rivers. The authors further discuss the relationships between the Arctic runoff and sea ice. Significant negative correlation is found at the mouth of the rivers into the Arctic Ocean in spring, while significant positive correlation is observed just at the north of the mouths of the rivers into the Arctic in summer. In addition, each river has different relationship with sea ice in the eastern Greenland Sea. 相似文献
15.
北极各海域海冰覆盖范围的变化特征 总被引：2，自引：1，他引：1
Sea ice in the Arctic has been reducing rapidly in the past half century due to global warming.This study analyzes the variations of sea ice extent in the entire Arctic Ocean and its sub regions.The results indicate that sea ice extent reduction during 1979–2013 is most significant in summer,following by that in autumn,winter and spring.In years with rich sea ice,sea ice extent anomaly with seasonal cycle removed changes with a period of 4–6 years.The year of 2003–2006 is the ice-rich period with diverse regional difference in this century.In years with poor sea ice,sea ice margin retreats further north in the Arctic.Sea ice in the Fram Strait changes in an opposite way to that in the entire Arctic.Sea ice coverage index in melting-freezing period is an critical indicator for sea ice changes,which shows an coincident change in the Arctic and sub regions.Since 2002,Region C2 in north of the Pacific sector contributes most to sea ice changes in the central Aarctic,followed by C1 and C3.Sea ice changes in different regions show three relationships.The correlation coefficient between sea ice coverage index of the Chukchi Sea and that of the East Siberian Sea is high,suggesting good consistency of ice variation.In the Atlantic sector,sea ice changes are coincided with each other between the Kara Sea and the Barents Sea as a result of warm inflow into the Kara Sea from the Barents Sea.Sea ice changes in the central Arctic are affected by surrounding seas. 相似文献
16.
V. A. Semenov 《Izvestiya Atmospheric and Oceanic Physics》2016,52(3):225-233
There were several anomalously cold winter weather regimes in Russia in the early 21st century. These regimes were usually associated with a blocking anticyclone south of the Barents Sea. Numerical simulations with an atmospheric general circulation model (AGCM) using prescribed sea-ice concentration (SIC) data for different periods during the last 50 years showed that a rapid sea-ice area decline in the Barents Sea in the last decade could bring about the formation of such a blocking anticyclone and cooling over northern Eurasia. The SIC reduction in the former period, from the second half of the 1960s to the first half of the 1990s, results in a weaker response of opposite sign. This suggests a nonlinear atmospheric circulation response to the SIC reduction in the Barents Sea, which has been previously found in the idealized AGCM simulations. An impact of the Barents Sea SIC reduction on the North Atlantic Oscillation (NAO), in particular, on the formation of the anomalously low NAO index, is found. The results indicate an important role that the Barents Sea, a region with the largest variability of the ocean–atmosphere heat exchange in the Arctic in wintertime, plays in generating anomalous weather regimes in Russia. 相似文献
17.
Numerical experiments with the ECHAM5 atmospheric general circulation model have been performed in order to simulate the influence of changes in the ocean surface temperature (OST) and sea ice concentration (SIC) on climate characteristics in regions of Eurasia. The sensitivity of winter and summer climates to OST and SIC variations in 1998–2006 has been investigated and compared to those in 1968–1976. These two intervals correspond to the maximum and minimum of the Atlantic Long-Period Oscillation (ALO) index. Apart from the experiments on changes in the OST and SIC global fields, the experiments on OST anomalies only in the North Atlantic and SIC anomalies in the Arctic for the specified periods have been analyzed. It is established that temperature variations in Western Europe are explained by OST and SIC variations fairly well, whereas the warmings in Eastern Europe and Western Siberia, according to model experiments, are substantially (by a factor of 2–3) smaller than according to observational data. Winter changes in the temperature regime in continental regions are controlled mainly by atmospheric circulation anomalies. The model, on the whole, reproduces the empirical structure of changes in the winter field of surface pressure, in particular, the pressure decrease in the Caspian region; however, it substantially (approximately by three times) underestimates the range of changes. Summer temperature variations in the model are characterized by a higher statistical significance than winter ones. The analysis of the sensitivity of the climate in Western Europe to SIC variations alone in the Arctic is an important result of the experiments performed. It is established that the SIC decrease and a strong warming over the Barents Sea in the winter period leads to a cooling over vast regions of the northern part of Eurasia and increases the probability of anomalously cold January months by two times and more (for regions in Western Siberia). This effect is caused by the formation of the increased-pressure region with a center over the southern boundary of the Barents Sea during the SIC decrease and an anomalous advection of cold air masses from the northeast. This result indicates that, to estimate the ALO actions (as well as other long-scale climatic variability modes) on the climate of Eurasia, it is basically important to take into account (or correctly reproduce) Arctic sea ice changes in experiments with climatic models. 相似文献
18.
LIU Xiying 《海洋学报(英文版)》2014,33(9):56-67
The Coupling of three model components, WRF/PCE （polar climate extension version of weather research and forecasting model （WRF））, ROMS （regional ocean modeling system）, and CICE （community ice code）, has been implemented, and the regional atmosphere-ocean-sea ice coupled model named WRF/PCE- ROMS-CICE has been validated against ERA-interim reanalysis data sets for 1989. To better understand the reasons that generate model biases, the WRF/PCE-ROMS-CICE results were compared with those of its components, the WRF/PCE and the ROMS-CICE. There are cold biases in surface air temperature （SAT） over the Arctic Ocean, which contribute to the sea ice concentration （SIC） and sea surface temperature （SST） biases in the results of the WRF/PCE-ROMS-CICE. The cold SAT biases also appear in results of the atmo- spheric component with a mild temperature in winter and similar temperature in summer. Compared to results from the WRF/PCE, due to influences of different distributions of the SIC and the SST and inclusion of interactions of air-sea-sea ice in the WRF/PCE-ROMS-CICE, the simulated SAT has new features. These influences also lead to apparent differences at higher levels of the atmosphere, which can be thought as responses to biases in the SST and sea ice extent. There are similar atmospheric responses in feature of distribution to sea ice biases at 700 and 500 hPa, and the strength of responses weakens when the pressure decreases in January. The atmospheric responses in July reach up to 200 hPa. There are surplus sea ice ex- tents in the Greenland Sea, the Barents Sea, the Davis Strait and the Chukchi Sea in winter and in the Beau- fort Sea, the Chukchi Sea, the East Siberian Sea and the Laptev Sea in summer in the ROMS-CICE. These differences in the SIC distribution can all be explained by those in the SST distributions. These features in the simulated SST and SIC from ROMS-CICE also appear in the WRF/PCE-ROMS-CICE. It is shown that the performance of the WRF/PCE-ROMS-CICE is determined to a l 相似文献
19.
南海地区潜热输送与我国东南部夏季降水的遥相关分析 总被引：16，自引：1，他引：16
使用奇异值分解(SVD)和经验正交函数展开(EOF)方法,分析了我国东南部夏季降水与前期(冬季、春季)及同期(夏季)南海潜热输送之间相关场的分布型,从中找出遥相关的“关键区”,并对找到的高相关区的可靠性进行了讨论。结果表明,我国东南部夏季降水与前期(冬季、春季)及同期(夏季)南海潜热输送相关密切,尤其春、夏季潜热输送与降水相关程度更高。前期中的冬季,南海北部潜热输送与华南及其近海地区的夏季降水有较显着的负相关关系;春季,南海中部海盆地带的游热输送与长江以南至华南沿海地区的夏季降水有较强的正相关关系;夏季,南海中部海盆地带仍是影响同期华南降水的“关键区”. 相似文献