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1.
本文利用Argo表层盐度、OSCAR海流等数据,基于盐度收支方程的平流输送项来阐述海洋平流输送对热带印度洋表层盐度的调整作用;利用淡水输运量计算公式揭示6条关键断面海洋平流输送对表层盐度空间结构的调整机制。结果表明,海洋平流将赤道西印度洋和阿拉伯海的高盐水输送到低盐海域的赤道东印度洋和孟加拉湾、安达曼海;将赤道东印度洋和孟加拉湾、安达曼海的低盐水输送到高盐海域的赤道西印度洋、阿拉伯海以及赤道南印度洋海域,起到了调整印度洋盐度基本平衡的作用。断面淡水输运量的分析结果表明,导致苏门答腊岛西部海域的强降水中心与低盐中心不重合,澳大利亚西部海域的强蒸发中心与高盐中心不重合的主要原因是水平环流所致;夏季,来自赤道西印度洋和阿拉伯海的高盐水在西南季风环流的驱动下,入侵孟加拉湾,是导致孟加拉湾夏季表层盐度较高的主要原因。  相似文献   

2.
利用中国科学院"实验1"号调查船2010~2012年东印度洋3个航次的走航断面观测数据,分析了春季孟加拉湾南部和赤道东印度洋上层海洋的水文结构特征,同时结合卫星遥感资料和世界海洋图集2009(world ocean atlas 2009,WOA09)气候态温、盐资料,探讨了孟加拉湾南部海水经向地转输运的变化以及温跃层的波动。结果表明,在3~5月份,即印度洋冬季风向夏季风转换期间,赤道西风的爆发成为这一海域最关键的驱动力,将阿拉伯海的高盐水向东输运,使赤道纬向压强梯度力转为西向,减弱了赤道潜流并引起向北的经向地转输运。在孟加拉湾湾口,赤道的波动强迫导致了经向输运由南向转为北向,来自阿拉伯海的高盐水与孟加拉湾的低盐水在此汇集,形成了明显的盐度梯度;波动强迫还使得孟加拉湾湾口呈现出一个向西移动并减弱的气旋涡流场。在波动和表层盐度差异的影响下,湾口温跃层维持着向西下倾斜的状态,即使是在印度洋东岸海水堆积时,也没有显示出如赤道断面温跃层那般的大幅度加深。  相似文献   

3.
本文利用Argo盐度、SODA海流量、OAFlux蒸发量和TRMM降水量等数据,采用盐度收支方程定量给出了印度洋混合层盐度的收支,揭示了整个印度洋净淡水通量项、平流项、垂向卷夹项的分布、季节变化特征及其对混合层盐度变化的主要贡献。结果表明,就多年平均而言,平流项负贡献(15.14%)大于正贡献(9.89%),说明平流输送把低盐水输送到高盐海域,导致印度洋高盐海域混合层的盐度降低。净淡水通量项的分布和季节变化与降水量基本一致,且正贡献(13.70%)大于负贡献(7.81%),说明净淡水通量项使印度洋的混合层盐度升高(因为多年平均蒸发量大于降水量)。盐度季节变化显著海域的进一步分析表明,6?11月,西南季风漂流把赤道西印度洋的低盐水(相对阿拉伯海高盐水而言)输送到阿拉伯海西部海域,导致该海域的盐度降低。平流输送把孟加拉湾湾口和中部的高盐水带到北部海域,是导致北部海域盐度升高的主要原因。  相似文献   

4.
利用2002—2015年ARGO网格化的温度、盐度数据, 结合卫星资料揭示了赤道东印度洋和孟加拉湾障碍层厚度的季节内和准半年变化特征, 探讨了其变化机制。结果表明, 障碍层厚度变化的两个高值区域出现在赤道东印度洋和孟加拉湾北部。在赤道区域, 障碍层同时受到等温层和混合层变化的影响, 5—7月和11—1月受西风驱动, Wyrtki急流携带阿拉伯海的高盐水与表层的淡水形成盐度层结, 同时西风驱动的下沉Kelvin波加深了等温层, 混合层与等温层分离, 障碍层形成。在湾内, 充沛的降雨和径流带来的大量淡水产生很强的盐度层结, 混合层全年都非常浅, 障碍层季节内变化和准半年变化主要受等温层深度变化的影响。上述两个区域障碍层变化存在关联, 季节内和准半年周期的赤道纬向风驱动的波动过程是它们存在联系的根本原因。赤道东印度洋地区的西风(东风)强迫出向东传的下沉(上升)的Kelvin波, 在苏门答腊岛西岸转变为沿岸Kelvin波向北传到孟加拉湾的东边界和北边界, 并且在缅甸的伊洛瓦底江三角洲顶部(95°E, 16°N)激发出向西的Rossby波, 造成湾内等温层深度的正(负)异常, 波动传播的速度决定了湾内的变化过程滞后于赤道区域1~2个月。  相似文献   

5.
刘中民 《海洋世界》2008,(11):73-79
印度洋位于亚洲、大洋洲、非洲和南极洲之间,即北纬15°与南纬40°间,大部分在南半球。面积7491.7万平方千米,约占世界海洋总面积的21.1%,为世界第三大洋,平均深度为3897米,最深为7729米。印度洋北部封闭,海岸线曲折,主要有红海、亚丁湾、阿曼湾、阿拉伯海、波斯湾、孟加拉湾等。  相似文献   

6.
热带印度洋降水、蒸发的时空特征及其对海表盐度的影响   总被引:3,自引:2,他引:1  
许金电  高璐 《海洋学报》2018,40(7):90-102
本文利用降水、蒸发等资料分析热带印度洋年降水量、蒸发量、净淡水通量的分布特征,并选取4个典型海域来分析降水量、蒸发量、净淡水通量的季节变化和年际变化。结果表明:东印度洋的苏门答腊岛西部海域年降水量最大,季节变化较小,属全年降雨型;孟加拉湾的东北部和安达曼海的北部海域年降水量较大,其年际变化以4.2 mm/a的速率增长,强降水出现在5-9月;阿拉伯海的西部海域年降水量较小;南印度洋东部(20°~30°S,80°~110°E)海域年降水量较小,年蒸发量较大,年蒸发量在2000年之前以5.1 mm/a的速率增长,之后以4.5 mm/a的速率减小。本文还采用Argo盐度等资料探讨降水、蒸发对海表盐度的影响,研究结果表明:降水量远大于蒸发量的海域,海表盐度较低;降水量远小于蒸发量的海域,海表盐度较高。表层水平环流是导致高净淡水通量中心与低盐中心并不重合的主要原因,也是导致强蒸发中心与高盐中心并不重合的主要原因。选取的4个典型海域海表盐度的季节变化与净淡水通量关系不大,而是与表层水平环流有关。孟加拉湾强降水对表层盐度的影响显著,强降水发生后表层盐度降低0.2~0.8,其影响深度为30~50 m。  相似文献   

7.
本研究利用Argo温盐、Aquarius遥感盐度等资料,研究了阿拉伯海高盐水入侵孟加拉湾的主要路径及季节变化机制.分析显示阿拉伯海高盐水入侵孟加拉湾存在3种类型,即夏季型、冬季型和春季型.夏季型入侵发生在湾口西部,入侵时间为7—10月,净体积输送达1.53 Sv.冬季型(12月至次年1月)和春季型(3—5月)阿拉伯海高...  相似文献   

8.
阿拉伯海东南海域盐度收支的季节变化   总被引:4,自引:0,他引:4  
采用SODA海洋同化产品的月平均资料,本文分析了阿拉伯海东南海域表层盐度的季节变化特征,发现局地海面淡水通量不能解释盐度的变化。两个典型区域的表层海水盐度收支分析表明,海洋的平流输送是造成阿拉伯海东南海域盐度冬季降低、夏季升高的主要原因,而淡水通量仅在夏季印度西侧沿岸区域造成盐度降低。冬季,东北季风环流将孟加拉湾北部的低盐水沿同纬度输送到阿拉伯海,然后向北输送,使表层海水盐度降低;夏季,西南季风环流把阿拉伯海西北部的高盐水向南、向东输送,使阿拉伯海东南海域盐度升高。受地理位置因素的影响,阿拉伯海东南海域表层盐度的变化冬季明显强于夏季。  相似文献   

9.
热带东印度洋表层环流季节变化特征研究   总被引:2,自引:0,他引:2       下载免费PDF全文
利用近20年的卫星遥感海面绝对动力高度(Absolute Dynamic Topography,ADT)数据、表层流数据及Argos表面漂流浮标数据等研究了热带东印度洋表层环流的季节变化特征。分析结果显示,热带东印度洋表层环流的变化与季风演替基本同步,赤道以北海域环流季节变化特征甚为显著。与此大尺度环流年循环同步,孟加拉湾湾口环流也相应变化:湾口东部在5~9月为南向流,一直延伸至苏门答腊岛外海,其他月份,从湾口东部至整个苏门答腊岛外海(4°S以北)为北向流;湾口西部经向流的变化大体与东部相反。Argos漂流浮标轨迹进一步揭示了湾内外各季节水交换路径:西南季风期,源自阿拉伯海及印度半岛南部海域的漂流浮标主要通过西南季风漂流由湾口西侧进入湾内,湾内的漂流浮标通过湾口东侧沿着苏门答腊岛进入赤道印度洋;东北季风期,漂流浮标进出湾口的途径大体与西南季风期相反。本研究还表明,季风海流及赤道急流的纬向流速季节变化最大,而经向流速的季节方差最大的则为东印度沿岸流及拉克沙群岛高压(拉克沙群岛低压)。  相似文献   

10.
赤道印度洋中部断面东西水交换的季节变化及其区域差异   总被引:4,自引:2,他引:2  
采用海洋再分析资料和实测资料研究了热带印度洋中部东西水交换特征。结果表明存在两个相互独立的过程,即北印度洋过程(4°~6°N)和赤道过程(2°S-2°N)。北印度洋过程受季风影响显著,11月至翌年3月冬季风期间表现出很强的低盐水向西输送,5-9月夏季风期间则为高盐水向东输送;由于冬季风期间的输送较强,年平均表现为低盐水向西输送。赤道过程分为表层过程和次表层过程。表层赤道过程受局地风场驱动,有明显的半年周期;4-5月和10-11月的东向流将赤道西印度洋的高盐水向东输送,其余月份相反;向东的输送较强,年平均表现为净高盐水向东输送。在次表层赤道过程没有明显的季节变化,海流全年一致向东,将海盆西部的高盐水向东输送。  相似文献   

11.
In this paper, effort is made to demonstrate the quality of high-resolution regional ocean circulation model in realistically simulating the circulation and variability properties of the northern Indian Ocean(10°S–25°N,45°–100°E) covering the Arabian Sea(AS) and Bay of Bengal(BoB). The model run using the open boundary conditions is carried out at 10 km horizontal resolution and highest vertical resolution of 2 m in the upper ocean.The surface and sub-surface structure of hydrographic variables(temperature and salinity) and currents is compared against the observations during 1998–2014(17 years). In particular, the seasonal variability of the sea surface temperature, sea surface salinity, and surface currents over the model domain is studied. The highresolution model's ability in correct estimation of the spatio-temporal mixed layer depth(MLD) variability of the AS and BoB is also shown. The lowest MLD values are observed during spring(March-April-May) and highest during winter(December-January-February) seasons. The maximum MLD in the AS(BoB) during December to February reaches 150 m (67 m). On the other hand, the minimum MLD in these regions during March-April-May becomes as low as 11–12 m. The influence of wind stress, net heat flux and freshwater flux on the seasonal variability of the MLD is discussed. The physical processes controlling the seasonal cycle of sea surface temperature are investigated by carrying out mixed layer heat budget analysis. It is found that air-sea fluxes play a dominant role in the seasonal evolution of sea surface temperature of the northern Indian Ocean and the contribution of horizontal advection, vertical entrainment and diffusion processes is small. The upper ocean zonal and meridional volume transport across different sections in the AS and BoB is also computed. The seasonal variability of the transports is studied in the context of monsoonal currents.  相似文献   

12.
A coupled ice-ocean model is configured for the pan-Arctic and northern North Atlantic Ocean with a 27.5 km resolution. The model is driven by the daily atmospheric climatology averaged from the 40-year NCEP reanalysis (1958–1997). The ocean model is the Princeton Ocean Model (POM), while the sea ice model is based on a full thermodynamical and dynamical model with plastic-viscous rheology. A sea ice model with multiple categories of thickness is utilized. A systematic model-data comparison was conducted. This model reasonably reproduces seasonal cycles of both the sea ice and the ocean. Climatological sea ice areas derived from historical data are used to validate the ice model performance. The simulated sea ice cover reaches a maximum of 14 × 106 km2 in winter and a minimum of 6.7 × 106 km2 in summer. This is close to the 95-year climatology with a maximum of 13.3 × 106 km2 in winter and a minimum of 7 × 106 km2 in summer. The simulated general circulation in the Arctic Ocean, the GIN (Greenland, Iceland, and Norwegian) seas, and northern North Atlantic Ocean are qualitatively consistent with historical mapping. It is found that the low winter salinity or freshwater in the Canada Basin tends to converge due to the strong anticyclonic atmospheric circulation that drives the anticyclonic ocean surface current, while low summer salinity or freshwater tends to spread inside the Arctic and exports out of the Arctic due to the relaxing wind field. It is also found that the warm, saline Atlantic Water has little seasonal variation, based on both simulation and observations. Seasonal cycles of temperature and salinity at several representative locations reveals regional features that characterize different water mass properties.  相似文献   

13.
A reduced estimate of Agulhas Current transport provides the motivation to examine the sensitivity of Indian Ocean circulation and meridional heat transport to the strength of the western boundary current. The new transport estimate is 70 Sv, much smaller than the previous value of 85 Sv. Consideration of three case studies for a large, medium and small Agulhas Current transport demonstrate that the divergence of heat transport over the Indian Ocean north of 32°S has a sensitivity of 0.08 PW per 10 Sv of Agulhas transport, and freshwater convergence has a sensitivity of 0.03×109 kg s−1 per 10 Sv of transport. Moreover, a smaller Agulhas Current leads to a better silica balance and a smaller meridional overturning circulation for the Indian Ocean. The mean Agulhas Current transport estimated from time-series current meter measurements is used to constrain the geostrophic transport in the western boundary region in order to re-evaluate the circulation, heat and freshwater transports across 32°S. The Indonesian Throughflow is taken to be 12 Sv at an average temperature of 18°C. The constrained circulation exhibits a vertical–meridional circulation with a net northward flow below 2000 dbar of 10.1 Sv. The heat transport divergence is estimated to be 0.66 PW, the freshwater convergence to be 0.54×109 kg s−1, and the silica convergence to be 335 kmol s−1. Meridional transports are separated into barotropic, baroclinic and horizontal components, with each component conserving mass. The barotropic component is strongly dependent on the estimated size of the Indonesian Throughflow. Surprisingly, the baroclinic component depends principally on the large-scale density distribution and is nearly invariant to the size of the overturning circulation. The horizontal heat and freshwater flux components are strongly influenced by the size of the Agulhas Current because it is warmer and saltier than the mid-ocean. The horizontal fluxes of heat and salt penetrate down to 1500 m depth, suggesting that warm and salty Red Sea Water may be involved in converting the intermediate and upper deep waters which enter the Indian Ocean from the Southern Ocean into warmer and saltier waters before they exit in the Agulhas Current.  相似文献   

14.
On the basis of the salinity distribution of isopycnal(σ_0=27.2 kg/m~3) surface and in salinity minimum, the Antarctic Intermediate Water(AAIW) around South Australia can be classified into five types corresponding to five regions by using in situ CTD observations. Type 1 is the Tasman AAIW, which has consistent hydrographic properties in the South Coral Sea and the North Tasman Sea. Type 2 is the Southern Ocean(SO) AAIW, parallel to and extending from the Subantarctic Front with the freshest and coldest AAIW in the study area. Type 3 is a transition between Type 1 and Type 2. The AAIW transforms from fresh to saline with the latitude declining(equatorward). Type 4, the South Australia AAIW, has relatively uniform AAIW properties due to the semienclosed South Australia Basin. Type 5, the Southeast Indian AAIW, progressively becomes more saline through mixing with the subtropical Indian intermediate water from south to north. In addition to the above hydrographic analysis of AAIW, the newest trajectories of Argo(Array for real-time Geostrophic Oceanography) floats were used to constructed the intermediate(1 000 m water depth) current field, which show the major interocean circulation of AAIW in the study area. Finally, a refined schematic of intermediate circulation shows that several currents get together to complete the connection between the Pacific Ocean and the Indian Ocean. They include the South Equatorial Current and the East Australia Current in the Southwest Pacific Ocean, the Tasman Leakage and the Flinders Current in the South Australia Basin, and the extension of Flinders Current in the southeast Indian Ocean.  相似文献   

15.
马浩  张作为 《海洋科学》2011,35(1):75-80
基于气候态的SODA(simple Ocean Data Assimilation)数据,比较了气候态意义下南极附近和南极绕极流区域的海洋层结,对南极融冰问题的合理海洋边界条件进行了初步探讨.结果表明:南极融冰所注入的淡水通量在大西洋东部和印度洋海区将沿着表层路径到达南极绕极流区,在大西洋西部和太平洋的经向运动路径视淡...  相似文献   

16.
Unprecedented summer-season sampling of the Arctic Ocean during the period 2006-2008 makes possible a quasi-synoptic estimate of liquid freshwater (LFW) inventories in the Arctic Ocean basins. In comparison to observations from 1992 to 1999, LFW content relative to a salinity of 35 in the layer from the surface to the 34 isohaline increased by 8400±2000 km3 in the Arctic Ocean (water depth greater than 500 m). This is close to the annual export of freshwater (liquid and solid) from the Arctic Ocean reported in the literature.Observations and a model simulation show regional variations in LFW were both due to changes in the depth of the lower halocline, often forced by regional wind-induced Ekman pumping, and a mean freshening of the water column above this depth, associated with an increased net sea ice melt and advection of increased amounts of river water from the Siberian shelves. Over the whole Arctic Ocean, changes in the observed mean salinity above the 34 isohaline dominated estimated changes in LFW content; the contribution to LFW change by bounding isohaline depth changes was less than a quarter of the salinity contribution, and non-linear effects due to both factors were negligible.  相似文献   

17.
基于卫星高度计数据、模式数据和同化资料揭示了东印度沿岸流(East India Coastal Current, EICC)年周期上的时空分布特征, 并探讨了其可能的影响机制及热盐输运。在年周期上EICC呈现3种分布状态, 受季风影响, 在东北季风前期(10—12月)和后期(2—5月)为一致的南向(北向)流动; 而6—8月EICC呈3段式分布, 与另外两个时间段明显不同, 表现为9°N以南、16°N以北区域的南向流动和9°—16°N区域的北向流动。前人研究认为印度东海岸的局地风应力是EICC的主要机制, 本研究发现除局地风应力外, 来自孟加拉湾中部的艾克曼抽吸(Ekman Pumping)在全年也发挥着重要作用, 并在2—5月(10—12月)驱动EICC的北向(南向)流动, 而局地风应力则在10—12月有利于EICC的南向流动。EICC是孟加拉湾低盐水向赤道东印度洋和阿拉伯海输运的一个因素, 在海盆间的热盐交换上发挥着重要作用。EICC的热输运在6—12月(2—5月)有利于(不利于)湾内温度的升高; 盐输运则在全年都有利于孟加拉湾内盐度的增加。此外, EICC的一致南向(北向)流动以及3段式结构促进了湾内热盐的再分配, 对于维持北印度洋的热量和盐度收支平衡具有重要作用。  相似文献   

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