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1.
孟加拉湾上层地转环流周年变化的遥感研究   总被引:1,自引:1,他引:1       下载免费PDF全文
邱云  李立 《海洋学报》2007,29(3):39-46
应用1993~2003年TOPEX/Poseidon卫星测高数据结合历史水文资料,反演了孟加拉湾海面动力地形的平均周年变化,探讨了孟加拉湾上层环流季节特征和演变规律.结果显示,虽然孟加拉湾的大气环流受季风支配年周期波动显著,但表层环流形态的周年演变却呈3个不同的阶段.1~4月间(东北季风后期)湾内受一个海盆尺度的强大反气旋式环流的支配,湾口为西向流;5月西南季风骤起,印度季风漂流越过印度半岛南端出现在湾口,湾内反气旋环流弱化,在其南北两侧各出现一气旋式涡,构成5~9月间南北相间的三涡结构;10月东北季风再起,湾口漂流再次转向,10~12月间湾内则为海盆尺度的弱气旋式环流.受上述环流格局影响,位于西边界的印度沿岸流亦呈相应的3个阶段变化.分析表明,孟加拉湾风应力旋度的变化是造成湾内环流3个阶段演变的主要原因.本地风场和来自赤道海域的外强迫的共同驱动形成了孟加拉湾环流周年演变的独特规律.  相似文献   

2.
基于POM(Princeton Ocean Model)海洋模式,对南海不同深度环流的季节性变化进行了数值模拟研究。模拟结果表明:南海表层和上层环流受季风影响,在夏季西南季风驱动下,南海表层环流在南部呈现强反气旋式结构,在南海北部则是一个弱的气旋环流;在冬季东北季风驱动下,南海表层环流结构呈气旋式,并且明显加强了沿越南沿岸向南流动的西边界流;春季和秋季为南海季风的转换期,其对应的环流特征也处于冬季环流与夏季环流的过渡流型,流速与冬季和夏季相比较弱。南海200m层环流的季节变化与表层相似。在500与1 000m层,则出现许多处中尺度漩涡,流场也变得较为紊乱。  相似文献   

3.
1998年冬季南海上层环流诊断计算   总被引:14,自引:2,他引:12  
基于1998年11月28日至12月27日的调查航次的CTD资料,采用P矢量方法对调查期间南海环流进行了诊断计算,也对比了在此期间TOPEX/ERS卫星高度计SSH的资料,得到了1998年冬季南海上层环流的以下一些重要特征.(1)南海中部环流系统主要特征:在冬季越南近岸出现西边界南向射流.这支沿岸南向射流以东、114°E以西存在一个尺度大的、显著气旋式环流,它位于南自10°N左右北至16°N附近区域.在区域东中部存在一个尺度不大的、较弱的反气旋暖涡.该反气旋涡中心约位于14°N附近.在上述强的气旋式环流涡与较弱的反气旋式环流涡之间,存在一支强的、逆风方向的,即偏东北方向的海流.上述是冬季南海中部基本流态,并与200m处水平温度分布与密度分布有很好的对应.产生上述基本流态的动力原因有两个:1)在偏东北季风作用下,与地形变化相互作用,是本文首次提出的,并指出,其动力原因与冬季黄海暖流形成机制有相似之处;2)由于斜压场与地形的联合效应(JEBAT).(2)在海区南部存在一个反气旋式环流,在加里曼丹岛西北还有一个尺度不大、冷的气旋式涡.(3)南海北部环流系统:1)在吕宋岛西北明显地存在一个气旋环流系统,并有3个冷水中心;2)在此气旋式环流系统的一个冷水中心(约19°30'N,119°30'E)以西,存在一个反气旋式涡;3)在海南岛以南出现一个暖的、反气旋式环流;4)在南海北部,114°E以东、广东沿岸外侧存在一支东北向流.这是管秉贤首次指出的,冬季时出现南海暖流.(4)上述1998年冬季南海上层环流的一些重要特征都与此期间TOPEX/ERS-2卫星高度计SSH分布有较好的相对应.  相似文献   

4.
越南离岸流跨海盆特征初步分析   总被引:3,自引:0,他引:3  
刘岩松  于非  刁新源  南峰 《海洋科学》2014,38(7):95-102
为了更加清晰地分析南海的环流结构,本文利用南海表层卫星跟踪漂流浮标轨迹,结合卫星高度计资料,分析了南海中、南部跨海盆尺度海流。结果表明,2011年9~10月,越南沿岸流向南,并分别在11.5°N和8.5°N(等深线出现弯曲处)转向东形成越南离岸流。之后,这支离岸流在11°~16°N呈现蛇形路径,从越南东岸跨越南海南部海盆到达菲律宾西岸。分析卫星高度计数据,结果表明,秋季南海中北部被气旋式环流控制,气旋式环流南部为东向流,可从越南东部一直到菲律宾沿岸,从而决定了越南离岸流跨海盆的特征。越南离岸流的蛇形路径主要是由反气旋-气旋-反气旋-气旋交错出现的中尺度涡决定的。  相似文献   

5.
本文使用SODA(simple ocean data assimilation)海洋同化资料,系统分析了厄尔尼诺-南方涛动(El Ni?o-Southern Oscillation,ENSO)循环中冷暖位相期间热带太平洋上层海洋环流的演变规律,探讨了形成海洋环流异常的新机制。结果表明,在厄尔尼诺成熟期,热带中东太平洋赤道潜流最弱,赤道两侧出现反气旋性环流异常;西太平洋赤道外热带海域出现气旋性环流异常,该区南、北赤道流、棉兰老流、黑潮、新几内亚沿岸潜流及南赤道逆流增强;北赤道逆流区出现异常气旋性环流串,北赤道逆流接近正常。在厄尔尼诺衰退期和拉尼娜发展期,热带中西太平洋赤道潜流达到极强,赤道两侧出现气旋性环流异常;西太平洋赤道外热带海域异常环流减弱,该处主要流场的强度减弱或处于正常状态;北赤道逆流区反转为异常西向流。结果表明, ENSO循环期间的上层海洋环流异常受到热带太平洋温跃层深度异常产生的压强梯度力异常调控,在赤道外热带海洋温跃层深度异常和科里奥利力共同作用产生大尺度海洋环流异常,而在赤道海域,海洋温跃层深度异常和Gill效应造成赤道潜流异常以及关于赤道对称的气旋或反气旋性环流异常。  相似文献   

6.
广西主要港湾余流特征及其对物质输运的影响   总被引:2,自引:0,他引:2  
广西5个主要海湾各有自己的环流特征:铁山湾存在一个反气旋涡,廉州湾存在一个海湾尺度的气旋环流,钦州湾青菜头南端存在一个气旋式环流,防城湾口有一个气旋环流。珍珠湾余流,在深水航道内自湾内指向湾外。冬季,受北风影响,各湾从湾内流向湾外的余流分量加强。由于反气旋或气旋环流存在,形成和环流相应的泥沙输运。  相似文献   

7.
1998年夏季季风爆发前后南海环流的多涡特征   总被引:10,自引:0,他引:10  
利用南海季风实验(SCSMEX-IOP1、IOP2)期间(1998年4月底-7月初)所获得的温盐深(CTD)、声学多普勒流速剖面仪(ADCP)资料及TOPEX/POSEIDON卫星高度计遥感资料,分析了南海表层、1.0MPa层和3.0MPa层得力势异常场的分布格局,探讨了夏季季风爆发前后南海的环流特征。结果表明:在夏季季风爆发前(IOP1期间)南海北部以气旋试流动为主,并在此气旋式环流的东部镶嵌着一个较小的反气旋型涡;南海中部和南部以反气旋式流动为主,其中越南以东海域存在着两个南北对峙分布的反气旋型涡,在它们的东侧伴随一气旋型涡。季风爆发后(IPO2期间),南海北部仍然以气旋式流动为主,黑潮水越过巴士海峡南北中线,一部分可能入侵南海北部,另一部分向东北折回黑潮主干;南海中部和南部仍以反气旋式流动为主,越南以东海域北部的反气旋型涡消失,但南西的反气旋型涡加强,与IOP1类似,仍伴随着一个气旋型涡。总体而方,强流区出现在巴士海峡西北侧和南海西部(尤其是越东南东沿岸),南海东部和东南部为弱流区。  相似文献   

8.
基于CORA再分析资料对南海环流的季节特征和其受ElNino事件的响应进行了分析。结果表明,冬季整个南海海区表现为一个大的气旋式环流,夏季南海北部是气旋式环流,南部是一个反气旋式环流。通过对南海海区异常流场进行MV-EOF分解,分析其前两个模态,其空间型主要体现了南海环流冬季和夏季的特征,对应的时间系数与ElNino3.4_4NDJ指数有很好的相关性。通过分析南海环流在1986--2008年间ElNino年份的异常流场和异常流函数场,证明了MV-EOF分解后得到的联合时间系数所反映各阶段南海环流的季节特征与ElNino事件有相关性,即在8月[0],南海南部异常流函数场表现为反气旋式环流,北部为气旋式环流,南海夏季环流被增强,且ElNino事件时间尺度越长,北部的气旋式异常流场的影响范围就越大;在12月[0],南海除了东南部外,其余整个海区异常流函数场主要表现为反气旋式环流,冬季环流被减弱;在8月[+1],南海夏季流场强度都被削弱了。  相似文献   

9.
基于CORA再分析资料对南海环流的季节特征和其受ElNio事件的响应进行了分析。结果表明,冬季整个南海海区表现为一个大的气旋式环流,夏季南海北部是气旋式环流,南部是一个反气旋式环流。通过对南海海区异常流场进行MV-EOF分解,分析其前两个模态,其空间型主要体现了南海环流冬季和夏季的特征,对应的时间系数与Nio3.4_NDJ指数有很好的相关性。通过分析南海环流在1986—2008年间ElNio年份的异常流场和异常流函数场,证明了MV-EOF分解后得到的联合时间系数所反映各阶段南海环流的季节特征与ElNio事件有相关性,即在8月[0],南海南部异常流函数场表现为反气旋式环流,北部为气旋式环流,南海夏季环流被增强,且ElNio事件时间尺度越长,北部的气旋式异常流场的影响范围就越大;在12月[0],南海除了东南部外,其余整个海区异常流函数场主要表现为反气旋式环流,冬季环流被减弱;在8月[+1],南海夏季流场强度都被削弱了。  相似文献   

10.
李志  孟强  薛亮 《海洋科学进展》2020,38(2):199-210
孟加拉湾与其他热带海盆不同,在季风影响下,该地区热带气旋具有双气旋季的独特结构(4—5月的春季转换期和10—11月的秋季转换期)。虽然孟加拉湾气旋频数在10—11月较多,但是4—5月超强气旋(Saffir-Simpson 4,5级)的生成率却远高于10—11月。1981—2016年,春季转换期内孟加拉湾超强气旋都与第一支北传季节内振荡(First Northward-propagating Intra-Seasonal Oscillation,FNISO)相应而生,然而并不是所有伴随FNISO发生的气旋都能发展成为超强气旋。因此本研究以气旋生成指数为基础,利用气旋最佳轨道数据以及NCEP的海气参量数据,诊断指出孟加拉湾夏季风形成的强垂直风速剪切配合低层大气旋度和气旋潜在强度抵消夏季风期间水汽对气旋生成的促进作用,造成双峰分布,而中层大气相对湿度差异双峰不对称的主因。FNISO强度的不同与深对流中心与气旋中心的相对位置的差异,使得部分气旋受季节内振荡影响更大,强深对流的超越作用导致更显著的高低层大气温差,促使气旋具有且达到更大的潜在强度。在年际尺度上大气高低层温差的不同也是引起气旋潜在强度不同的主要原因。当季节内尺度和年际尺度共同作用,使得部分气旋发展成为超强气旋。  相似文献   

11.
赤道印度洋海温偶极子的气候影响及数值模拟研究   总被引:5,自引:0,他引:5  
在分析研究印度洋海温变化的基本特征,尤其是在分析赤道印度洋海温偶极子及其影响的基础上,利用IAP9L大气环流模式模拟研究了赤道印度洋海温偶极子异常对亚洲季风区气候变化的影响.其结果表明,印度洋、亚洲南部和东部地区的流场和降水都对印度洋海温异常的强迫作用比较敏感.正位相印度洋偶极子的作用使得赤道东印度洋-印度次大陆南部-阿拉伯海一带出现距平东风,孟加拉湾-中南半岛出现异常反气旋性环流,从而对减少印度南部和中南半岛南部、印度尼西亚地区的夏季降水,以及增加中国南部和东非的夏季降水有十分重要的作用.与此相反,负位相印度洋偶极子的作用将使赤道东印度洋附近出现西风异常,孟加拉湾-中南半岛存在异常气旋性环流,从而使印度次大陆和中南半岛南部、印度尼西亚地区的降水增加,使中国西部和孟加拉湾的降水减少.数值模拟结果与资料分析相互映证,切实地揭示了印度洋海温偶极子对亚洲季风区的气候变化有重要影响.  相似文献   

12.
The results obtained from an Ocean General Circulation Model (OGCM), the Modular Ocean Model 2.2, forced with the National Center for Environmental Prediction/National Center for Atmospheric Research reanalysis data, and observational data have been utilized to document the climatological seasonal cycle of the upper ocean response in the Tropical Indian Ocean. We address the various roles played by the net surface heat flux and the local and remote ocean dynamics for the seasonal variation of near-surface heat budget in the Tropical Indian Ocean. The investigation is based in seven selected boxes in the Arabian Sea, Bay of Bengal and the Equatorial Indian Ocean. The changes of basin-wide heat budget of ocean process in the Arabian Sea and the Western Equatorial Indian Ocean show an annual cycle, whereas those in the Bay of Bengal and the Eastern Equatorial Indian Ocean show a semi-annual cycle. The time tendency of heat budget in the Arabian Sea depends on both the net surface heat flux and ocean dynamics while on the other hand, that in the Bay of Bengal depends mainly on the net surface flux. However, it has been found that the changes of heat budget are very different between western and eastern regional sea areas in the Arabian Sea and the Bay of Bengal, respectively. This difference depends on seasonal variations of the different local wind forcing and the different ocean dynamics associated with ocean eddies and Kelvin and Rossby waves in each regional sea areas. We also discuss the comparison and the connection for the seasonal variation of near-surface heat budget among their regional sea areas. This revised version was published online in July 2006 with corrections to the Cover Date.  相似文献   

13.
Intercomparison of three South China Sea circulation models   总被引:2,自引:1,他引:1  
1IntroductionTheSouthChinaSeaisthelargesttropicalmarginaldeepsealocatingbetweenthewesternPacificOceanandtheeasternIndianOcean.AsapartofAsia-Australiamaritimecontinent,monsoonisaprimaryfactorforcingtheSouthChinaSeaCurrent(SCSC)variation.Drivenbynortheasterlymonsooninwinterandsouth-westerlymonsooninsummer,respectively,theSCSCbehavesacyclonicgyreandananticy-clonicgyre,correspondingly(Wyrtki,1961;Xuetal.,1982).Owingtotheshortageandexpen-sivenessofdirectobservationsintheSCS,fur-therunder…  相似文献   

14.
The circulation of northwestern Bay of Bengal is modeled using a three-dimensional Princeton Ocean Model (POM). Orthogonal curvilinear grid is used to get a higher resolution along the coastal boundaries. Numerical simulations on climatological scale for premonsoon were compared with those with and without fresh water during monsoon season.

The simulations for monsoon season without freshwater discharge at head Bay show intensification of the premonsoon features. The presence of lower SSTs and higher sea surface salinities as compared to premonsoon season along the coast substantiate this observation. The pole-ward moving East Indian Coastal Current (EICC) extends along-shore up to 20.5°N. Simulations with freshwater discharge for Monsoon season indicate that freshwater plume constitutes an equator-ward moving EICC branch opposing the pole-ward moving branch. The freshwater discharge modifies sea surface elevations along the northwestern coastal Bay of Bengal, in turn suppressing the coastal upwelling. Absence of freshwater plume imparts a significant change in the oceanic features in north western parts of Bay of Bengal.  相似文献   

15.
自然环境特征对海洋开发建设有着重要影响,为了更好地为21世纪海上丝绸之路建设提供科学依据,文章重点对南海、孟加拉湾、阿拉伯海三大海域的地理概况、气候特征进行系统性统计分析。结果表明,该海域的风场、风浪、表层海流受季风影响明显,其中阿拉伯海和孟加拉湾受西南季风的影响更为明显,冬季风的影响次之,南海则相反。阿拉伯海的热带气旋主要活动于其东侧,孟加拉湾则在其中东部区域,南海主要是北部海域受热带气旋影响明显。南海—北印度洋的能见度整体乐观。夏季降水明显多于冬季,夏季大值区分布于印度半岛西部近海、孟加拉湾东北部、马尼拉西部区域。  相似文献   

16.
Annual and interannual variations of sea-level anomaly (SLA) in the Bay of Bengal and the Andaman Sea are investigated using altimeter-derived SLA data from 1993 to 2003. It is found that the SLA annual variation in the study area can be divided into three phases with distinctive patterns. During the southwest monsoon (May-September), positive SLA presents in the equatorial region and extends northward along the eastern boundary of the bay, and the SLA distribution in the interior bay appears to be high in the east and low in the west with two cyclonic cells developing in the north and south of the western bay respectively, between which an anticyclonic cell exists. During the early northeast monsoon (October-December), the whole bay is dominated by a large cyclonic cell with the pattern of high SLA in the east and low in the west still retained, and the SLA distribution outside the bay is changed in response to the reversal of the Indian Monsoon Current (IMC) in November. During the late northeast monsoon (January-April), a large anticyclonic cell of SLA develops in the bay with negative SLA prevailing in the equatorial region and extending northward along the eastern boundary of bay. Therefore, the SLA distribution in the interior bay reverses to be high in the west and low in the east. It is suggested that the SLA annual variation in the bay is primarily driven by the local wind stress curl, involving Sverdrup balance while the abrupt SLA variation during the peak of northeast monsoon may be partly caused by the semiannual fluctuation of wind in the equatorial region. This fast adjustment in the interior bay is induced by the upwelling coastal Kelvin wave excited by the decay of Wyrtki jet during December through January. Besides the annual variation, in the bay, there are obvious SLA fluctuations with the periods of 2 and 3~7 a, which are driven by the interannual variability of large-scale wind field in the equatorial region. The coastal Kelvin wave also provides an important link for the SLA interannual variation between the equatorial region and the interior bay. It is found that the El Nio-Southern Oscillation (ENSO)-induced influence on the SLA interannual variation in the interior bay is stronger than the Indian Ocean dipole (IOD) with the associated pattern of low sea-level presenting along the periphery of the bay and high sea-level in the northeast of Sri Lanka.  相似文献   

17.
The monthly variation of thermocline depth in terms of 20°C isotherm depth (Z20) in the Bay of Bengal has been studied using SODA and ARGO datasets. During a southwest monsoon, the Bay of Bengal is deepest in the western basin and shallowest in the eastern basin while it is the opposite during northeast monsoon. The Z20 oscillation is not only affected by semiannual reversing wind forcing but also influenced by coastal Kelvin waves from the eastern coast and remote effect from the Northern Indian Ocean and Malacca Strait. A linear relationship between SSHA and Z20 has been found from both SODA and observational studies.  相似文献   

18.
The goal of this paper is to present some results on the monsoon circulation in the Indian Ocean simulated with a σ-coordinate ocean model developed at the Institute of Numerical Mathematics, RAS. The model has a horizontal resolution of (1/8)° × (1/12)° and contains 21 σ-layers of uneven thickness. Realistic bottom topography and land geometry are used. The numerical experiments were carried out for 15 years starting from the Levitus climatology for January and monthly mean climatic atmospheric forcing from the NCEP reanalysis data. The annual cycle of the surface and subsurface currents and temperature and salinity fields were analyzed. The model reproduces well the Summer Monsoon and the Winter Monsoon currents and their time evolution and spatial structures. The Somali Current is adequately modeled. During the Summer Monsoon, the velocities of the current exceed 2 m/s, while the total mass transport is approximately 70 Sv. The model results show that a reversal of the Somali Current from the northern direction in the summer to the southern direction in the winter is accompanied by the generation of anticyclonic eddies, which drift westward owing to the β-effect and dissipate either near the Somali shore or in the Gulf of Aden. The monsoon variability of the equatorial surface current and equatorial subsurface countercurrent system are analyzed. It is shown that these currents are generated predominantly by the zonal component of wind stress, in which the half-year harmonic dominates. This leads to the fact that the equatorial surface current also changes its direction with a half-year periodicity almost in phase with the wind. The oppositely directed subsurface compensational countercurrent changes its direction with a time lag of approximately one month. Gradient currents, which appear in the Bay of Bengal due to the riverine runoff, make an important contribution to the circulation. This effect manifests itself especially strongly in the summer during the peak of the Ganges River runoff, which transports fresh turbid waters. The principal features of the large-scale quasi-stationary gyre structure of the Indian Ocean such as the Great Whirl, Socotra high, and Laccadive high and low are simulated.  相似文献   

19.
The process of upwelling/sinking and associated sea level variations are seen as a response of coastal ocean to pure wind stress forcing. Further,precipitation and monsoonal floods, apart from the marine meteorological parameters, are expected to influence the sea level fluctuations along the coast. This study comprises determining the sea level from the various parameters together with the pure wind stress forcing, which is compared with the observed cycle. However, it is found that there is considerable difference between the computations and observations. This suggests that the sea level is dependent not just on the local forcing alone, but also on the induced background circulation as well. For example, the sea level changes along the east coast of India, particularly the northern region, are more sensitive to freshwater discharge from various rivers joining the Bay of Bengal. This is due to more frequently occurring pre- and postmonsoon cyclonic storms and the associated surges in the Bay of Bengal as compared to the Arabian Sea. Hence the salinity effects are particularly important in the coastal waters off the east coast of India during monsoon months (June-September). For the west coast of India, however, it is expected that the large-scale coastal circulation may play a role in determining sea level changes in addition to other forcings. The salinity effects are negligible along the west coast in the absence of any major river systems that join the Arabian Sea. The local advection currents caused by the offshore directed freshwater discharge from various estuaries joining the coastal bay also seemed to influence the sea level. In order to elucidate the essential dynamics involved and to study the effect of the remote forcing, a three-dimensional baroclinic, nonlinear numerical model is used with appropriate open boundary conditions. The local effect of the current has been incorporated in the west coast model by means of opening a channel at Cochin through which the rainwater is carried away to the model ocean. The low saline plume, cascading from north along the east cost of India, has been incorporated in the east coast model through a proper forcing applied at the northern boundary of the model. With the inclusion of these remote forcings in the models, the disagreement between the simulations and the observations is minimized.  相似文献   

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