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1.
采有英国Hadley中心的GISST海冰面积资料,NCFP/NCAR再分析资料以及中国160站气温和降水资料,分析了春季格陵兰海冰面积与夏季中国区域气温和降水的关系。初步研究表明,春季格陵兰海冰面积变化和随后夏季我国黄河长江中下游之间地区气温以及8月份华北和西南地区降水呈明显正相关,而和6月黄河中上游地区降水则具有明显的负相关。同时,春季格陵兰海冰异常时期对应着北半球大气环流的明显主为化,表明海冰与我国气温及降水之间的联系具有一定的环流背景。  相似文献   

2.
北极海冰的厚度和面积变化对大气环流影响的数值模拟   总被引:13,自引:2,他引:13  
文中利用中国科学院大气物理研究所设计的两层大气环流模式 ,模拟研究了北极海冰厚度和面积变化对大气环流的影响 ,尤其是对东亚区域气候变化的影响。模式中海冰厚度处理趋于合理分布 ,导致东亚冬、夏季风偏强 ,使冬季西伯利亚高压和冰岛低压的模拟结果更趋合理 ;另一方面 ,海冰厚度变化可以激发出跨越欧亚大陆的行星波传播 ,在低纬度地区 ,该行星波由西太平洋向东太平洋地区传播 ;海冰厚度变化对低纬度地区的对流活动也有影响。冬季北极巴伦支海海冰变化对后期大气环流也有显著的影响。数值模拟结果表明 :冬季巴伦支海海冰偏多 (少 )时 ,春季 (4~ 6月 )北太平洋中部海平面气压升高 (降低 ) ,阿留申低压减弱 (加深 ) ,有利于春季白令海海冰偏少 (多 ) ;而夏季 ,亚洲大陆热低压加深 (减弱 ) ,5 0 0 h Pa西太平洋副热带高压位置偏北 (南 )、强度偏强 (弱 ) ,东亚夏季风易偏强 (弱 )。  相似文献   

3.
春季格陵兰海冰与夏季中国气温和降水的关系   总被引:3,自引:3,他引:0  
采用英国Hadley中心的GISST海冰面积资料、NCEP/NCAR再分析资料以及中国160站气温和降水资料,分析了春季格陵兰海冰面积与夏季中国区域气温和降水的关系.初步研究表明,春季格陵兰海冰面积变化和随后夏季我国黄河长江中下游之间地区气温以及8月份华北和西南地区降水呈明显正相关,而和6月黄河中上游地区降水则具有明显的负相关.同时,春季格陵兰海冰异常时期对应着北半球大气环流的明显变化,表明海冰与我国气温及降水之间的联系具有一定的环流背景.  相似文献   

4.
宁夏春季沙尘暴与北极海冰之间的遥相关关系   总被引:11,自引:3,他引:11  
根据宁夏沙尘暴发生次数资料、北极海冰密集度资料和NCEP/NCAR再分析500hPa、850hPa高度场、风场资料,得出了宁夏春季沙尘暴发生次数的变化规律及其与北极海冰面积之间的年代际和年际相关关系,发现宁夏春季沙尘暴发生次数与欧亚大陆北部的喀拉海、巴伦支海和格陵兰海冰面积之间存在较显著的年代际、年际相关关系。通过合成和相关分析知,宁夏春季沙尘暴偏多、偏少状况有明显不同的环流背景场,秋季格陵兰海冰异常变化通过影响其后一段时间的大气环流背景场,从而对宁夏沙尘暴产生影响。初步得出当格陵兰海秋季海冰面积增大(减小),次年春季蒙古至西伯利亚一带500hPa、850hPa高压场降低(升高),风场有明显的气旋性(反气旋性)特点,在宁夏至新疆一带西风明显偏强(偏弱),说明冷空气活动次数偏多(少),对应宁夏春季沙尘暴发生次数偏多(少)。通过海冰将全球气候变暖和宁夏(我国北方)沙尘暴总减少趋势联系起来,初次提出在环境总体恶化情况下,我国沙尘暴发生次数总体趋于减少,很可能是全球气候变暖所致。  相似文献   

5.
利用1981—2019年宁夏初霜冻日期资料及同期位势高度场、海表面温度(SST)、积雪面积、海冰面积等资料,研究SST、海冰面积、积雪面积等外强迫因子对宁夏初霜冻日期异常偏早、偏晚的影响,在此基础上,建立了初霜冻日期的物理概念模型和客观预测模型。结果表明:(1)偏早(偏晚)年,前期赤道中东太平洋SST持续显著偏暖(冷),SST异常形态为明显的ENSO模态。当前期赤道中东太平洋SST偏暖时,东亚槽偏强,副热带高压偏弱,异常环流形势有利于冷空气活动,初霜冻日期易偏早,反之则偏晚。(2)5—8月北半球积雪面积、1—7月格陵兰海冰面积与初霜冻日期存在持续显著负相关关系。当前期北半球积雪面积或格陵兰海冰面积减少时,东亚槽偏弱,西太平洋副高偏强,不利于冷空气活跃,初霜冻日期易偏晚,反之则偏早。(3)影响宁夏初霜冻日期的主要因子为东亚槽强度、NINO3.4区SST异常、热带南大西洋SST异常、北半球积雪面积、西太平洋副高强度以及格陵兰海冰面积等,基于以上因子用多元回归方程建立的客观化预测模型具有良好的预测效果。  相似文献   

6.
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。  相似文献   

7.
冬春季节北极海冰的年际和年代际变化   总被引:6,自引:0,他引:6  
利用1953~1990年海冰密集度资料,研究了冬、春季节北极海冰的时空变化特征.结果表明:冬,春季节海冰变率大的海区主要有巴伦支海、格陵兰海、巴芬湾、戴维斯海峡以及白令海;在巴芬湾、戴维斯海峡和白令海海区,冬季海冰变率比春季的大;冬、春季节喀拉海、巴伦支海海冰面积均与春季白令海海冰面积呈反向变化关系,与巴芬湾、戴维斯海峡海冰面积也存在相反的变化趋势.分析还表明:北极海冰面积还表现出年代际时间尺度变化,尤其在冬季.春季格陵兰海海冰明显存在12年变化周期,而在冬、春季节,喀拉海、巴伦支海海冰存在l0年变化周期.  相似文献   

8.
南、北极海冰的时空演变特征   总被引:7,自引:4,他引:3  
利用海水面积指数,分析了南、北极海冰年际时间尺度的时空演变特征。结果表明:南极海冰具有明显的年际振荡。南极夏季海水年际异常具有一定的整体性,秋、冬、春季海冰年际异常则表现出较强的区域性。北极海冰也具有显著的年际振荡。北极冬、春季海冰年际异常主要发生在格陵兰海、巴伦支海和喀拉海,夏、秋季海冰年际异常主要发生在东西伯利亚和海和波旨特海。  相似文献   

9.
近45a冬季北大西洋涛动异常与我国气候的关系   总被引:14,自引:1,他引:14  
利用1873-1995年的北半球海平面气压月平均资料,定义了北大西洋涛动指数。用近45a资料研究了北大西洋涛动与我国冬、夏季气候变化的关系。指出,北大西洋涛动异常变化与我国冬、夏季天气气候关系密切。强涛动年,冬季我国是偏暖、多雨的气候特征;夏季我国江淮之间地区气温明显偏低。还表明,强涛动年冬季,西太平洋副热带高压强度与西伯利亚高压及高空经向环流都明显偏弱,大气环流具有弱WA遥相关型、弱的东亚冬季风特征,对应的夏季环流特征与强东亚夏季风特征较接近。  相似文献   

10.
基于一个全球海-冰-气耦合模式的数值模拟结果,选取冬季格陵兰海海表面温度(SST)、海冰密集度、海表面感热通量等物理量以及3个相关区域海平面气压分别作经验正交函数展开,取第一模时间系数作相关分析。结果表明,上一年海冰密集度偏大(小)与来年的SST偏低(高)相联系,但二者同期相关性最大。当海气热通量交换变化超前一年时,其与SST相关性最大。模式最低层大气温度与海洋表面热通量之间的同时相关性最大,冬季模式最低层气温偏高(低)与海洋表面失去的感热、潜热通量偏少(多)相联系。气温、比湿都和冰岛低压区及格陵兰海的海平面气压相关性最强,冰岛低压气压偏低(高)与模式最低层气温和比湿偏高(低)相联系。所以,在海-冰-气年际尺度的相互作用中,主要关系是大气环流调整造成大气中云量和低层气温、湿度变化,进而影响海气界面上的通量交换,造成SST的变化。SST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SST变化有较明显影响。  相似文献   

11.
北极海冰变化的时间和空间型   总被引:14,自引:0,他引:14  
汪代维  杨修群 《气象学报》2002,60(2):129-138
利用 4 4a(195 1~ 1994年 )北极海冰密度逐月资料 ,分析提出了一种与北极冰自然季节变化相吻合的分季法 ,并根据这种分季法 ,使用EOF分解 ,揭示了北极各季海冰面积异常的特征空间型及其对应的时间变化尺度。结果表明 :(1)北极冰面积异常变化的关键区 ,冬季 (2~ 4月 )主要位于北大西洋一侧的格陵兰海、巴伦支海和戴维斯海峡以及北太平洋一侧的鄂霍次克海和白令海 ,夏季 (8~ 10月 )则主要限于从喀拉海、东西伯利亚海、楚科奇海到波佛特海的纬向带状区域内 ,格陵兰海和巴伦支海是北极海冰面积异常变化的最重要区域 ;(2 )春 (5~ 7月 )、秋 (11月~次年 1月 )季各主要海区海冰面积异常基本呈同相变化 ,夏季东西伯利亚海、楚科奇海、波佛特海一带海冰面积异常和喀拉海呈反相变化 ,而冬季巴伦支海、格陵兰海海冰面积异常和戴维斯海峡、拉布拉多海、白令海、鄂霍次克海的海冰变化呈反相变化 ;(3)北极冰总面积过去 4 4a来确实经历了一种趋势性的减少 ,并且叠加在这种趋势变化之上的是年代尺度变化 ,其中春季 (5~ 7月 )海冰面积异常变化对年平均北极冰总面积异常变化作出了主要贡献 ;(4)位于北太平洋一侧极冰面积异常型基本具有半年的持续性 ,而位于北大西洋一侧极冰面积异常型具有半年至一年的持续性  相似文献   

12.
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。  相似文献   

13.
Interannual to multidecadal modes in ocean/atmosphere dynamics in the North Atlantic region have been identified using sea salt aerosol proxy records from northern Greenland ice cores over the last 1,000 years. Sea salt concentrations show a consistent relationship with anomalies in the meridional pressure gradient over the North Atlantic region over all considered time scales. These pressure anomalies are connected to shifts in storm tracks, leading to lower pressure and higher storm activity, hence, higher sea salt export over the Greenland ice sheet. Two modes of long-term variability with a period of 10.4 years and 62 years could be identified. The latter is connected to long-term changes in sea surface temperature (SST) as documented by a high correlation of North Atlantic SST with our sea salt record over the last 150 years. Long-term reconstruction of these modes shows that the 10.4-year cycle has been a phenomenon persistent over the last millennium while the 62-year cycle has been mainly active after 1700. Accordingly, the longer-term persistence of this multidecadal variability in sea salt points also to significant variations in SST over the last 300 years.  相似文献   

14.
The interannual atmosphere-ocean-sea ice interaction (AOSI) in high northern latitudes is studied with a global atmosphere-ocean-sea ice coupled model system, in which the model components of atmosphere and land surface are from China National Climate Center and that of ocean and sea ice are from LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences. A daily flux anomaly correction scheme is employed to couple the atmosphere model and the ocean model with the effect of inhomogenity of sea ice in high latitudes is considered. The coupled model system has been run for 50 yr and the results of the last 30 years are analyzed. After the sea level pressure (SLP), surface air temperature (SAT), sea surface temperature (SST), sea ice concentration (SIC), and sea surface sensible heat flux (SHF) are filtered with a digital filter firstly, their normalized anomalies are used to perform the decomposition of combined complex empirical orthogonal function (CCEOF) and then they are reconstructed with the leading mode. The atmosphere-ocean-sea ice interactions in high northern latitudes during a periodical cycle (approximately 4 yr) are analyzed. It is shown that: (1) When the North Atlantic Oscillation (NAO) is in its positive phase, the southerly anomaly appears in the Greenland Sea, SAT increases, the sea loses less SHF, SST increases and SIC decreases accordingly; when the NAO is in its negative phase, the northerly anomaly appears in the Greenland Sea, SAT decreases, the sea loses more SHF, SST decreases and SIC increases accordingly. There are similar features in the Barents Sea, but the phase of evolution in the Barents Sea is different from that in the Greenland Sea. (2) For an average of multi-years, there is a cold center in the inner part of the Arctic Ocean near the North Pole. When there is an anomaly of low pressure, which is closer to the Pacific Ocean, in the inner part of the Arctic Ocean, anomalies of warm advection appear in the region near the Pacif  相似文献   

15.
Several multi-century and multi-millennia simulations have been performed with a complex Earth System Model (ESM) for different anthropogenic climate change scenarios in order to study the long-term evolution of sea level and the impact of ice sheet changes on the climate system. The core of the ESM is a coupled coarse-resolution Atmosphere–Ocean General Circulation Model (AOGCM). Ocean biogeochemistry, land vegetation and ice sheets are included as components of the ESM. The Greenland Ice Sheet (GrIS) decays in all simulations, while the Antarctic ice sheet contributes negatively to sea level rise, due to enhanced storage of water caused by larger snowfall rates. Freshwater flux increases from Greenland are one order of magnitude smaller than total freshwater flux increases into the North Atlantic basin (the sum of the contribution from changes in precipitation, evaporation, run-off and Greenland meltwater) and do not play an important role in changes in the strength of the North Atlantic Meridional Overturning Circulation (NAMOC). The regional climate change associated with weakening/collapse of the NAMOC drastically reduces the decay rate of the GrIS. The dynamical changes due to GrIS topography modification driven by mass balance changes act first as a negative feedback for the decay of the ice sheet, but accelerate the decay at a later stage. The increase of surface temperature due to reduced topographic heights causes a strong acceleration of the decay of the ice sheet in the long term. Other feedbacks between ice sheet and atmosphere are not important for the mass balance of the GrIS until it is reduced to 3/4 of the original size. From then, the reduction in the albedo of Greenland strongly accelerates the decay of the ice sheet.  相似文献   

16.
In this study we investigate the interannual variability of the heat content of the upper North Atlantic and the main factors, which influence the observed variability: the ocean-atmosphere heat exchange and the ocean heat transport. The data from the combined in situ and satellite dataset ARMOR-3D, and from the ocean reanalyzes ORAS5 and SODA3 (two versions) show a similar decadal interannual variability of the heat content, as well as of oceanic heat transports the study regions, though the mean values may differ. The observed variations are linked to the North Atlantic Oscillation Index (NAOI). The current velocity of the North Atlantic, East Greenland and Labrador currents of the Subpolar Gyre increases with the NAOI, but the velocity of the Irminger and West Greenland currents decreases. This forms a seesaw of heat advection by the North Atlantic Current between the Subpolar Gyre and Nordic Seas. In the Subpolar gyre during the periods of high NAOI, this negative anomaly of the oceanic heat convergence adds to the intensified sea-surface heat release to the atmosphere, together effectively reducing the upper ocean heat content. The upper ocean heat content of the Norwegian Sea shows practically no link to the NAOI, in spite of a somewhat larger oceanic heat flux across its southern boundary linked to high NAOI.  相似文献   

17.
By using a 2-layer AGCM designed by Institute of Atmospheric Physics,Chinese Academy ofSciences.this paper investigates influences of thickness and extent variations in Arctic sea ice onthe atmosphere circulation,particularly on climate variations in East Asia.The simulation resuhshave indicated that sea ice thickness variation in the Arctic exhibits significant influences onsimulation results,particularly on East Asian monsoon.A nearly reasonable distribution of sea icethickness in the model leads directly to stronger winter and summer monsoon over East Asia.andimproves the model's simulation results for Siberia high and Icelandic low in winter.On the otherhand,sea ice thickness variation can excite a teleconnection wave train across Asian Continent,andin low latitudes,the wave propagates from the western Pacific across the equator to the easternPacific.In addition,the variation of sea ice thickness also influences summer convective activitiesover the low latitudes including South China Sea and around the Philippines.Effects of winter sea ice extents in the Barents Sea on atmospheric circulation in the followingspring and summer are also significant.The simulation result shows that when winter sea iceextent in the target region is larger (smaller) than normal.(1)in the following spring (averagedfrom April to June).positive (negative) SLP anomalies occupy the northern central Pacific.whichleads directly to weakened (deepened)Aleutian low.and further favors the light (heavy) sea icecondition in the Bering Sea:(2)in the following summer,thermal depression in Asian Continent isdeepened (weakened).and the subtropical high in the northwestern Pacific shifts northward(southward) from its normal position and to be strengthened (weakened).  相似文献   

18.
The relative importance of regional processes inside the Arctic climate system and the large scale atmospheric circulation for Arctic interannual climate variability has been estimated with the help of a regional Arctic coupled ocean-ice-atmosphere model. The study focuses on sea ice and surface climate during the 1980s and 1990s. Simulations agree reasonably well with observations. Correlations between the winter North Atlantic Oscillation index and the summer Arctic sea ice thickness and summer sea ice extent are found. Spread of sea ice extent within an ensemble of model runs can be associated with a surface pressure gradient between the Nordic Seas and the Kara Sea. Trends in the sea ice thickness field are widely significant and can formally be attributed to large scale forcing outside the Arctic model domain. Concerning predictability, results indicate that the variability generated by the external forcing is more important in most regions than the internally generated variability. However, both are in the same order of magnitude. Local areas such as the Northern Greenland coast together with Fram Straits and parts of the Greenland Sea show a strong importance of internally generated variability, which is associated with wind direction variability due to interaction with atmospheric dynamics on the Greenland ice sheet. High predictability of sea ice extent is supported by north-easterly winds from the Arctic Ocean to Scandinavia.  相似文献   

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