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1.
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
2.
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
3.
阿拉伯海淡水输运量的季节变化特征研究 总被引：1，自引：1，他引：0
本文利用简单海洋模式同化再分析产品等资料，阐述了阿拉伯海与赤道西印度洋，阿拉伯海与阿曼湾之间淡水输运量的季节变化特征，揭示了阿拉伯海淡水输运量的基本平衡和季节变化特征。结果表明，阿拉伯海得到的淡水输运量(包括来自赤道西印度洋、河流)和失去的淡水输运量(包括降水量减蒸发量、向阿曼湾输运)基本相当。阿拉伯海通过海气交换失去的淡水(降水量减蒸发量)主要由来自赤道西印度洋(包括孟加拉湾)的淡水输运来补偿，赤道西印度洋向阿拉伯海的淡水输运对维持阿拉伯海的盐度基本平衡起到至关重要的作用。阿拉伯海的淡水输运量在1?6月和12月为负值，失去淡水；7?11月为正值，9月最大，得到淡水。阿拉伯海的净淡水输运量的季节变化特征表现为单峰现象。阿拉伯海与赤道西印度洋(9°N断面）的淡水输运量主要出现在表层至约200 m层，多年平均约为0.1×106 m3/s，向阿拉伯海输运。从10月至翌年3月，来自孟加拉湾的低盐水向阿拉伯海输运，该输运主要出现在印度半岛西南端近海约60 m层以浅区域。夏季和秋季，出现在索马里半岛东部海域的涡旋(大回旋)引起的输运(涡旋的西部低盐水向北输运，东部高盐水向南输运)，不仅输运量是一年当中最大的，而且影响的深度可达约300 m。该输运从6月开始形成，8?9月最强，11月迅速减弱。阿拉伯海与阿曼湾的淡水输运量较小，其垂直分布呈现3层结构，表层至10 m层，高盐水向阿拉伯海输运；15～170 m层，低盐水向阿曼湾输运；175～400 m层，高盐水向阿拉伯海输运。阿曼湾湾口断面多年平均淡水输运量约为0.39×104 m3/s，向阿曼湾输运。 相似文献
4.
文章利用观测和模式数据, 并基于混合层盐度收支方法, 研究了热带东太平洋淡水池的季节变化。研究发现: 热带东太平洋淡水池具有显著的季节变化, 由海表强迫(蒸发与降水)、水平平流和次表层过程共同控制。淡水池的季节变化主要分为扩张与收缩两个阶段。4月至11月为扩张阶段, 淡水池向西扩张, 最大体积和面积比最小时扩大将近一倍, 分别达到2.83×10 5km 3和8.94×10 6km 2。热带辐合带向北移动带来的强降水是淡水池扩张的主要原因, 海表强迫决定了混合层盐度降低。12月至3月为淡水池收缩阶段, 海表淡水通量的减弱、水平平流和次表层过程的增强导致混合层盐度升高, 淡水池向东收缩。 相似文献
5.
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
6.
《热带海洋学报》2017,(4)
采用Argo以及Aquarius卫星观测的海表盐度月平均资料研究了热带南印度洋海表盐度的季节变化特征。结果表明,在60°—80°E,5°—15°S海域海表盐度具有显著季节变化特征;夏半年盐度升高,冬半年盐度降低;但是其异常中心与降水异常中心不对应,降水不能解释盐度的季节变化。盐度收支分析显示,在夏半年,海表盐度增加的主要原因是经向平流将赤道地区的高盐输送至该地区;其中4—5月期间,海洋垂向卷夹作用加强,对海表高盐异常也起到重要作用。在冬半年,大气降水增加,海洋表层环流使得降水引起的局部低盐水体在该区域辐合;同时,向西的纬向平流将东南印度洋的低盐水体继续输送到该地区,二者对冬半年海表盐度降低都有重要贡献。 相似文献
7.
本文利用2011年8月至2014年3月Aquarius卫星盐度产品结合Argo等实测盐度资料,探讨了孟加拉湾海表盐度的季节及年际变化特征。结果显示,Aquarius与Argo盐度呈显著线性正相关,总体较Argo盐度值低,偏差为-0.13,其中在孟加拉湾北部海域负偏差值比南部海域更大,分别为-0.28和-0.10。Aquarius卫星与Argo浮标在表层盐度观测深度上的差别是造成此系统偏差的主因。Aquarius盐度资料清晰显示了孟加拉湾海表盐度具有明显的季节变化特征,包括阿拉伯海高盐水的入侵引起湾南部海域盐度的变化以及湾北部淡水羽分布范围的季节性迁移等主要特征。此外,分析还揭示了2011(2012)年春季整个湾内出现异常高盐(低盐)现象。研究表明,2010(2011)年湾北部夏季降雨减少(增加)导致该海域海水盐度偏高(偏低),并通过表层环流向南输运引起次年春季湾内表层盐度出现异常高盐(低盐)现象,春季风应力旋度正(负)距平通过影响盐度垂直混合过程对同期表层盐度异常高盐(低盐)变化也有影响。 相似文献
8.
北印度洋的经向热输送与热收支的季节与年际变化 总被引：3，自引：1，他引：3
探讨赤道以北印度洋的热量收支及变化机制。根据积分10年(1987～1996)的全球海洋模式(MOM 2 )资料,利用积分形式的热量平衡方程,系统地研究了北印度洋的经向热输送和热量收支的季节与年际变化。主要结论为:在季节尺度上,越赤道的经向热输送和赤道以北印度洋热含量变化有年循环特征,而海面净热通量呈现半年周期变化特点;在年际尺度上,热含量的变化主要由经向热输送的变化引起,其它项的影响较小;经向热输送集中在上5 0 0m ,尤其在15 0m以上;在总的经向热输送中,经向翻转环流的贡献起主要作用,涡动项的贡献比较小;某一纬度上经向热输送异常以及此纬度以北印度洋总的海面净热通量异常与此纬度上纬向积分的纬向风应力异常有很好的相关关系;还分析了10°N阿拉伯海和10°N孟加拉湾的经向热输送与越赤道的经向热输送的关系,以及海面净热通量各分量的变化特点。 相似文献
9.
基于全球降水气候态计划(GPCP)的降水资料和美国伍兹霍尔海洋研究所(WHOI)的客观分析海气通量(OAFlux)的蒸发数据,对CMIP5的13个耦合模式的淡水通量历史模拟结果进行评估。结果表明:模式能够模拟出淡水通量的气候态空间分布,但普遍存在双热带辐合带(ITCZ)现象,热带海域是模式模拟不确定性最大的区域。模式能较好模拟出纬向平均的淡水通量的分布特征,但量值较实测偏小,且由于模式对1月10°S附近淡水通量的模拟过低,导致年平均的赤道和10°S之间的淡水通量模拟存在明显的偏差。季节尺度上,模式对北半球淡水通量的变化特征有很好的模拟能力,但对南半球的模拟能力不足。年际尺度上,模式普遍能够刻画ENSO引起的淡水通量在太平洋中部同西太平洋以及印尼贯通流反相变化的空间分布特征,但是时间特征模拟很差。从各个方面评估模式的历史模拟结果,多模式集合的结果都要优于单个模式的结果。全球变暖背景下,未来淡水通量变化最显著的区域位于热带和亚热带区域。原本蒸发(降水)占主导的海域,蒸发(降水)更强。不同气候情景下,淡水通量变化的空间形态没有显著变化,但RCP8.5气候情景下模拟的淡水通量变化幅度及模式间变化的一致性均强于RCP4.5的结果。 相似文献
10.
夏季东海西部表层海水中的pCO_2及海-气界面通量 总被引：4，自引：0，他引：4
根据 2 0 0 1年夏季长江口及东海西部海域表层海水pCO2 的实测数据 ,结合水文、化学和生物等要素的同步观测资料 ,对该海域pCO2 分布和变化的重要影响因素进行了探讨。结果表明 ,长江冲淡水是造成东海西部海域表层海水pCO2 分布不均匀的主要原因。利用Wan ninkhof( 1 992 )提出的通量模式计算 ,长江口口门附近海域和浙江近岸海域为CO2 的源区 ,1 2 3°E以东的调查海域表现为大气CO2 的汇 ,尤其是以 1 2 3°E ,32°N为中心 ,存在着一个极强的大气CO2 汇区。就整个东海西部海域而言 ,夏季可从大气净吸收 1 5 3× 1 0 4 tC。 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.
The in situ sea surface salinity(SSS) measurements from a scientific cruise to the western zone of the southeast Indian Ocean covering 30°–60°S, 80°–120°E are used to assess the SSS retrieved from Aquarius(Aquarius SSS).Wind speed and sea surface temperature(SST) affect the SSS estimates based on passive microwave radiation within the mid- to low-latitude southeast Indian Ocean. The relationships among the in situ, Aquarius SSS and wind-SST corrections are used to adjust the Aquarius SSS. The adjusted Aquarius SSS are compared with the SSS data from My Ocean model. Results show that:(1) Before adjustment: compared with My Ocean SSS, the Aquarius SSS in most of the sea areas is higher; but lower in the low-temperature sea areas located at the south of 55°S and west of 98°E. The Aquarius SSS is generally higher by 0.42 on average for the southeast Indian Ocean.(2) After adjustment: the adjustment greatly counteracts the impact of high wind speeds and improves the overall accuracy of the retrieved salinity(the mean absolute error of the Zonal mean is improved by 0.06, and the mean error is-0.05 compared with My Ocean SSS). Near the latitude 42°S, the adjusted SSS is well consistent with the My Ocean and the difference is approximately 0.004. 相似文献
13.
The distribution of ocean salinity controls the density field and thereby plays a major role in influencing the ocean dynamics. It has been a challenging task to understand the variability of salinity structure in the regions of large fresh water discharge and high precipitation such as Bay of Bengal (BoB). Recent advancement in satellite technology has made possible the measurement of sea surface salinity (SSS). Aquarius is the satellite which measured the global SSS for the period 2011 to 2015. In the present study, we assimilated Aquarius SSS in the Global Ocean Data Assimilation System based on 3DVAR technique. The assimilation of Aquarius SSS resulted in reduced biases in salinity not only at the surface, but also in the vertical distribution of salinity and better captured the temporal variations of salinity structure in sensitive regions, such as the Bay of Bengal. In addition, the assimilation of SSS showed marginal improvement in ocean thermal structure over data sparse regions of Indian Ocean. It is also shown that the assimilation of Aquarius SSS has improved the stratification in the upper Ocean which is the key factor in the observed improvement in ocean analysis. 相似文献
14.
Using the high-resolution Hybrid Coordinate Ocean Model and the Navy Coupled Ocean Data Assimilation Global 1/12° Analysis (GLBa0.08), and the Objectively Analyzed Air–Sea Fluxes and the International Satellite Climatology Cloud Project products, we investigated the seasonal and interannual evolutions of heat budget, including the pseudo-heat content change, the net air–sea heat flux and the eddy heat transport (EHT), based on the time-dependent heat budget analysis in the western Pacific warm pool (WPWP). The results show that the pseudo-heat content change has significant semi-annual variation, which peaks in April–May and September. There is strong positive feedback between EHT and the net air–sea heat flux. EHT is important in balancing the sea surface heat flux into the WPWP. The seasonal EHT variability is dominated by its meridional component. On the interannual time scale, the zonal and vertical components of EHT show comparable amplitudes with the meridional one. The observed net air–sea heat flux in the WPWP is highly correlated with EHT and the pseudo-heat content change on the interannual time scale. The net air–sea heat flux leads the pseudo-heat content change by about half a month and leads EHT by about one month. The variations of the air–sea heat flux and EHT are connected to the El Niño Southern Oscillation events: during the development of El Niño (La Niña) events, the warm pool expanded eastward (retreated westward), the net air–sea surface flux into the WPWP increased (decreased) and EHT enhanced (weakened) significantly. 相似文献
15.
Seasonal Variability of Near-Surface Heat Budget of Selected Oceanic Areas in the North Tropical Indian Ocean 总被引：1，自引：0，他引：1
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
16.
海洋盐度在水循环、海洋环流、海洋生态系统、全球天气和气候变化等方面起着至关重要的作用。然而, 受观测的限制, 以往对海洋盐度的研究相对匮乏, 对其进行预报的工作更为少见。本文采用线性马尔可夫模型对印度洋海表面盐度(sea surface salinity, SSS)开展初步的预报工作。根据混合层盐度收支方程, 选择海表面高度(sea surface height, SSH)、海表面温度 (sea surface temperature, SST)、SSS等物理量的异常值作为模型的组成部分, 对印度洋SSS开展预报工作。结果表明, 马尔可夫模型可提前9个月对印度洋SSS进行较好的预报。此外, 南太平洋海表面温度异常(sea surface temperature anomaly, SSTA), 海表面高度异常(sea surface height anomaly, SSHA)和印度洋偶极子(Indian Ocean dipole, IOD)系数等遥相关因素的加入可将线性马尔可夫预报对印度洋SSS的预报效果(相关系数)平均提高10%。利用改进的模型对印度洋SSS进行提前1~11个月的“实时”预测, 得出预报的SSS时空变化特征与观测场相吻合。综上所述, 改进的线性马尔可夫模型对印度洋SSS具有一定的预测能力, 未来可进一步完善。 相似文献
17.
R.R. Rao M.S. Girish Kumar M. Ravichandran A.R. Rao V.V. Gopalakrishna P. Thadathil 《Deep Sea Research Part I: Oceanographic Research Papers》2010,57(1):1-13
The observed variability of the Kelvin waves and their propagation in the equatorial wave guide of the Indian Ocean and in the coastal wave guides of the Bay of Bengal (BoB) and the southeastern Arabian Sea (AS) on seasonal to interannual time scales during years 1993–2006 is examined utilizing all the available satellite and in-situ measurements. The Kelvin wave regime inferred from the satellite-derived sea surface height anomalies (SSHA) shows a distinct annual cycle composed of two pairs of alternate upwelling (first one occurring during January–March and the second one occurring during August–September) and downwelling (first one occurring during April–June and the second one occurring during October–December) Kelvin waves that propagate eastward along the equator and hit the Sumatra coast and bifurcate. The northern branches propagate counterclockwise over varied distances along the coastal wave guide of the BoB. The potential mechanisms that contribute to the mid-way termination of the first upwelling and the first downwelling Kelvin waves in the wave guide of the BoB are hypothesized. The second downwelling Kelvin wave alone reaches the southeastern AS, and it shows large interannual variability caused primarily by similar variability in the equatorial westerly winds during boreal fall. The westward propagating downwelling Rossby waves triggered by the second downwelling Kelvin wave off the eastern rim of the BoB also shows large interannual variability in the near surface thermal structure derived from SODA analysis. The strength of the equatorial westerlies driven by the east–west gradient of the heat sources in the troposphere appears to be a critical factor in determining the observed interannual variability of the second downwelling Kelvin wave in the wave guides of the equatorial Indian Ocean, the coastal BoB, and the southeastern AS. 相似文献
18.
北极海冰作为一个巨大的淡水资源库, 每年向全球输送大量淡水资源, 从北极输出的海冰在向南输送的过程中融化, 对海洋水循环与水环境产生影响, 进而影响全球气候变化, 弗雷姆海峡作为北极海冰输出的主要通道, 对其研究显得尤为重要。为了解弗雷姆海峡海冰长期输出量, 利用美国冰雪数据中心（NSIDC）发布的海冰密集度、海冰厚度与海冰漂移速度数据, 计算得到 1979 年至 2019 年弗雷姆海峡海冰输出面积通量与 2010 至 2019 年弗雷姆海峡海冰输出体积通量, 并在此基础上分析弗雷姆海峡近 40 a 海冰输出量的变化状况以及弗雷姆海峡海冰输出的年际变化、季节变化, 并分析了影响弗雷姆海峡海冰输出量的可能原因。结果表明: 近 40 a 弗雷姆海峡年均海冰输出面积通量为 7.83×105 km2,近 10 a 弗雷姆海峡海冰年均输出体积通量为 1.34×106 km3, 从长期来看, 弗雷姆海峡海冰输出面积通量呈略微增加趋势, 弗雷姆海峡海冰输出体积通量在 2010—20... 相似文献