南海暖水季节和年际变化的初步研究

南海暖水具有明显的季节和年际变化。利用气候平均的COADS资料和NCEP大气资料分析了南海暖水的季节变化及其与海面净热通量的关系,以及由此引起的南海地区大气环流的变化。发现海面净热通量在南海暖水的季节变化过程中起到了主要的作用;冬季无暖水存在时,最大上升气流位于赤道及以南地区的印尼群岛附近,夏季最大上升气流北移到了南海暖水上空,南海暖水上空对流强烈,成为大气的对流活动中心。利用50年逐月的SODA海温资料进行垂直方向的3次样条插值,定义并计算南海暖水的强度指数,分析南海暖水的年际变化,并对南海暖水的几个异常暖年份作了合成分析,探讨了暖水年际变化的形成因素。     

南海混合层深度的季节变化及年际变化特征

通过分析新的SODA(Simple Ocean Data Assimilation)资料,得到南海混合层时空场的分布特征,剖析了南海混合层深度的季节及年际变化特征。资料分析表明:南海混合层存在着显著的季节和年际变化,且两者的均方差分布存在一定的差异。在季节变化中,冬季混合层在南海北部及西北陆架区深,在南海南部及吕宋冷涡处浅;夏季混合层在南海西北部浅,东南深。南海这种混合层深度分布特征除了与热通量的季节变化有关外,在相当大的程度上与季风引起的Ekman输送及Ekman抽吸有关。混合层深度距平场EOF(Empirical Othorgnal Function)第一模和第二模时间变化的主信号均为周期的年际变化信号,其中第一模态约为3 a,第二模态则有1.8,2.4和4.3 a的3个显著周期。EOF第一模显示混合层深度在南海东南部年际变化幅度最大,且滞后Nino3指数7个月时相关性最好(相关系数为0.422 3);EOF第二模显示在南海南部和北部混合层深度呈反位相变化。     

基于CORA资料的中国海海表面温度季节和年际变化特征分析

基于1986-2008年的中国近海及邻近海域再分析产品(CORA),采用经验正交函数分解方法(EOF)分析了海表面温度(SST)的季节及年际变化特征,并用相应的SODA、AVHRR以及Levitus资料对CORA做了对比评估。相比于AVHRR而言,CORA资料SST的偏差和均方根误差均小于SODA,相比Levitus资料而言CORA资料温度盐度的均方根误差随深度的变化皆小于SODA。 CORA与SODA资料相比,两者前3个模态的时空分布大体一致,区别在于CORA资料能更好地反映参量的一些细微特征。结果表明,CORA资料能很好的刻画中国近海SST的季节、年际变化特征,尤其是黑潮流经区域SST的局地变化特征。季节EOF第二模态显示的是SST对由风引起的潜热释放的响应特征。第三模态刻画了冬夏转换季的分布特征,主要揭示了东北-西南走向的锋面特征。SST年际变化与ENSO密切相关,区域平均的南海SSTA与Nino指数的吻合程度CORA优于SODA。     

Seasonal Variability of Near-Surface Heat Budget of Selected Oceanic Areas in the North Tropical Indian Ocean

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.     

西太平洋暖池区域热通量变化及其与南海夏季风爆发的关系

利用卫星遥感资料反演出的海洋大气参数,应用目前世界较为先进的通量算法(CORAER 3.0),计算了西太平洋区域海-气热通量(感热通量和潜热通量)。首先分析了海-气热通量的多年平均场和气候场变化的基本特征,以及年际和年代际变化特征;进而对其与南海夏季风爆发之间的关系进行了初步探讨。结果表明,西太平洋海-气热通量具有明显的时空分布特征,感热通量的最大值出现在黑潮区域,潜热通量的最大值出现在北赤道流区和黑潮区域。在气候平均场中,黑潮区域的感热通量和潜热通量最大值均出现在冬季,最小值出现在夏季;暖池区域感热通量除了春季较小外,冬、夏和秋季基本相同,而潜热通量最大值出现在秋、冬季,最小值出现在春、夏季。另外,海-气热通量还具有显著的年际变化和年代际变化,感热通量和潜热通量均存在16 a周期,与南海夏季风爆发存在相同的周期。由相关分析可知,4月份暖池区域的海-气热通量与滞后3 a的南海夏季风爆发之间存在密切相关关系,这种时滞相关性,可以用于进行南海夏季风爆发的预测,为我国汛期降水预报提供科学依据。基于以上结论,建立多元回归方程对2012年的南海夏季风爆发进行了预测,预测2012年南海夏季风爆发将偏晚1～2候左右。     

Heat budget of the western Pacific warm pool and the contribution of eddy heat transport diagnosed from HYCOM assimilation

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.     

基于SODA资料的太平洋及我国周边海域温差能资源时空特征分析

基于简单海洋数据同化数据集的逐月再分析海温资料,对1971年1月至2010年12月共40年的太平洋及我国周边海域温差能资源的时空特征进行统计分析,得到以下主要结论:（1）温差季节变化特征明显,北半球的20℃等温差线从冬季到夏季可由20°N扩展到40°N,而南半球的温差受季节变化相对较小;温差能有效开采区域集中在30°S~40°N范围内,但纬向分布不均;可近似将气候态平均的20℃等温差线作为全年可开采区域的边界;（2）太平洋绝大部分海域的温差能等价深度呈逐年上升趋势,最大可达近2 m/a;温差能的变异系数具有明显季节变化特征但总体维持在较低水平,有效开采区域之内的变异系数在各季节均低于0.1;（3）我国温差能资源在南海及台湾以东海域最为丰富,其温差维持较高水平,能量密度总体呈逐年上升趋势,能量的稳定性较好且可实现全年有效开采,其最佳利用时间为5-7月,最差利用时间为2-3月;（4）太平洋温差能储量在TW量级,且以2.83 GW/a的趋势递增。     

Seasonal variability of turbulent heat fluxes in the tropical Atlantic Ocean based on WHOI flux product

The mean seasonal variability of turbulent heat fluxes in the tropical Atlantic Ocean is examined using the Woods Hole Oceanographic Institution(WHOI) flux product.The most turbulent heat fluxes occur during winter seasons in the two hemispheres,whose centers are located at 10°~20°N and 5°～15°S respectively.In climatological ITCZ,the turbulent heat fluxes are the greatest from June to August,and in equatorial cold tongue the turbulent heat fluxes are the greatest from March to May.Seasonal variability of sensible heat flux is smaller than that of latent heat flux and mainly is dominated by the variations of air-sea temperature difference.In the region with larger climatological mean wind speed(air-sea humidity difference),the variations of air-sea humidity difference(wind speed) dominate the variability of latent heat flux.The characteristics of turbulent heat flux yielded from theory analysis and WHOI dataset is consistent in physics which turns out that WHOI's flux data are pretty reliable in the tropical Atlantic Ocean.     

西太平洋热通量变化及其与中国夏季降水量异常的联系

利用EOF方法分析了1951～2008年间西太平洋湍动热通量的时空特征,并探讨了中国夏季降水异常与同期西太平洋潜热通量时空格局的联系.结果显示,西太平洋潜热和感热通量距平场具有较相似的空间分布以及显著的年际变化,但潜热通量的变化幅度较感热通量大;潜热通量距平场的空间变化存在明显季节差异.冬季潜热通量变化的显著区域位于黑潮流域,而夏季则见于西太平洋暖池区.冬、夏季潜热通量除了具有准4a振荡周期外,还存在着明显的线性增强的长期变化趋势.进一步分析表明,夏季西太平洋潜热通量变异主要存在着偶极型、同一型和三极子型模态,其时间系数分别具有显著的准4a、准2a和29a的周期变化,它们分别对应着不同的中国夏季降水量异常的分布,而大范围的潜热通量负异常则与中国江淮流域大部和华北北部地区的降水偏多相对应.这为中国降水量的异常及机理研究提供了必要基础.     

The Mechanism of the 20°C Isotherm Depth Oscillations for the Bay of Bengal

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.     

Labrador Sea convection and subpolar North Atlantic Deep Water export in the SODA assimilation model

Labrador Sea convection was most intense and reached the greatest depths in the early 1990s, followed by weaker, shallower, and more variable convection after 1995. The Simple Ocean Data Assimilation (SODA) version 2.0.2/2.0.4 assimilation model is used to explore convective activity in the North Atlantic Ocean for the period from 1992 to 2007. Hydrographic conditions, which are relatively well observed during this period, are used to compare modeled and observed winter mixed-layer depths and water mass anomalies in relation to Deep Western Boundary Current transports and meridional overturning circulation (MOC) changes at the exit of the subpolar basin. The assimilation differs markedly from local observations in the March mixed-layer depth, which represents deep convection and water mass transformation. However, mean MOC rates at the exit of the subpolar gyre, forced by stratification in the mid-latitudes, are similar to estimates based on observations and show no significant decrease during the 1992–2007 period. SODA reproduces the deep Labrador Sea Water formation in the western North Atlantic without any clear indication of significant formation in the Irminger Sea while the lighter upper Labrador Sea Water density range is reached in the Irminger Sea in the 1990s, in agreement with existing assumptions of deep convection in the Irminger Sea and also supported by computed lag correlations with the Labrador Sea. Deep Water transformation mainly takes place in the eastern North Atlantic. The introduction of CFC-11 into the SODA model as a tracer reproduces the mean and multiyear variations of observed distributions.     

CMIP6模式对北冰洋海洋热含量的模拟能力评估

本文利用PHC、ECCO2、SODA、GECCO3和CMIP6资料,分析了北冰洋热含量的水平分布特征、季节变化和长期变化趋势等,评估了CMIP6模式对北冰洋海洋热含量的模拟能力。研究发现,北冰洋海洋热含量表现出明显的季节变化:热含量在4月份最低,9月份最高;在历史情形下(1850?2014年),相较观测和再分析资料,CMIP6多模式集合平均(MME)的上层500 m热含量在格陵兰海偏暖,在挪威海、巴伦支海和欧亚海盆偏冷,MME的全水深热含量在北冰洋几乎所有区域均偏暖,在格陵兰海偏差最大;CMIP6模式对北冰洋温度剖面模拟偏差较大,MME平均温度在1 000 m以深均高于观测和再分析资料。在未来情形下(2015?2100年),MME表现出明显的北冰洋增暖情形,但绝大多数中国模式没有表现出明显的增暖情形。中国模式中,BCC-CSM2-MR和BCC-ESM1对北冰洋年平均热含量的模拟较差,CIESM对热含量季节和年代际变化模拟较差,FIO-ESM-2-0对北冰洋上层500 m年平均热含量及热含量季节和年代际变化的模拟都比较好。     

印度尼西亚海及周边海域层结的时空变化特征分析

本文利用World Ocean Atlas 2013 (WOA13)和Simple Ocean Data Assimilation version 3.1.1 (SODA v3.3.1)温盐资料,分析印尼贯穿流(ITF)路径及所经印度尼西亚海及周边西太平洋、南海和东印度洋海域的层结强度(N2)和跃层特征的三维时空变化特征。结果表明,气候态下ITF 3条路径上跃层平均N2差异较小,其中中部路径平均值最大,为10?3.68 s?2,东部路径平均值最小,为10?3.71 s?2;各路径跃层深度和厚度存在明显差异,东部路径跃层深度和厚度最大,分别为124 m和192 m,中部次之,西部最小为99 m和143 m,并且印尼海的跃层深度和厚度平均值均小于其他海域。印尼海N2存在显著的季节变化和4～7 a的多年周期变化,其中年际变化可能主要受厄尔尼诺?南方涛动事件影响。季节上,在印尼海域内,ITF 3条路径夏季层结强度均小于冬季(北半球夏冬季),夏、冬两季N2差值最大可达到两个量级。1993?2015年的长期变化趋势显示,印尼海及周边大部分海域的层结强度呈现增强趋势,其中印度洋中部和哈马黑拉海23 a内最大层结增强近0.1个量级。     

东海冷涡对东亚季风年代际变化

利用CORA、COADS和SODA 等高分辨率的海洋和大气再分析资料及区域海洋模式(ROMS), 研究了东海冷涡对1976/1977 年前后东亚季风年代际跃变(减弱)的响应。结果表明: (1)1976/1977年前后东亚季风跃变后, 夏季东海冷涡明显增强, 主要表现为冷涡的温度显著降低, 而冬季东海冷涡有所变弱但其温度上升不明显; (2)东亚冬季风跃变后, 济州岛西南侧的黄海暖流减弱, 冷涡区出现一个反气旋式环流异常, 这有利于冬季东海冷涡的减弱; (3)东亚夏季风跃变后, 台湾暖流外海侧分支及济州岛西南侧的黄海暖流分支增强, 使得冷涡区的气旋性环流变强, 这有利于夏季东海冷涡的加强。数值试验的结果表明, 东亚冬、夏季风的跃变在东中国海引起了不同的中尺度海洋环流异常, 从而导致东海冷涡对东亚冬、夏季风的跃变产生不同的响应。     

太平洋内部副热带-热带经向翻转环流的季节变化特征

太平洋内部副热带-热带经向翻转环流(subtropical-tropical cell,STC)是连接热带和副热带的海洋通道.由于以往海洋观测资料的匮乏,前人多利用海洋模式数据进行研究,且仅限于沿单一纬度上的STC的分析,较少涉及沿不同纬度的STC的季节变异规律.利用地转海洋学实时观测阵(array for real-...     

长江口外海域冬、春季水温变化规律研究

收集了1963—1996年长江口外海域水温的观测数据,分析了该海域冬、春季表层、10m层、20m层和30m层不同层次水温的季节和年际变化规律,以及其间水温垂向结构的变化。季节变化上,表层多年平均水温在8月最高,3月最低,底层多年平均水温9月最高,3月最低。年际变化上,冬季在1979年存在一个由冷到暖的跃迁;4月水温的年际变化较冬季复杂,表层、10m层、20m层和30m层水温分别在1979、1973、1973和1975年发生从冷到暖的跃迁。水平分布上,冬季除东南角小范围表层水温降低外,沿岸及北部海区表层水温均升高,春季北部和南部中间海域水温升高,升温幅度由表层至30m层逐渐变小。垂向结构上,冬季表底混合均匀,表层与20m层的年际变化相关系数高达0.97,春季表层与20m层的水温差存在10年左右的变化周期。本文将一些可能影响春季水温年际变化的因素与海温进行了比较并发现,在冷期,春季表层海温与长江口外海域气温相关较暖期好,相关指数为0.79;而暖期的春季表层与20m层的水温差与净热通量相关系数较高,为0.65。     

印度洋混合层盐度季节变化机制研究

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。     

东北印度洋上层海水热含量及影响要素的季节变化

探讨了影响东北印度洋上层海水热含量变化的各要素的季节变化,以及其对热含量变化的贡献和作用过程.根据MOM4数值模拟所得的气候态数据,利用热力学方程积分所得的热通量方程,分析了热含量和各影响要素的季节变化过程.结果表明,东北印度洋海洋动力过程的作用主要存在于海洋上层100 m以内;该区域上层海水热含量的季节变化,是典型的海-气相互作用的结果,由动力过程和海表净热通量共同控制,2种作用都有明显的季节变化特征,并且随区域的变化两者贡献有所变化;西南季风爆发前,上层海洋热含量最大值的出现,是之前几个月动力作用和海表净热通量共同加热的结果.     

The heat balance on the sea surface in the mature phase of 1982/83 El Nino event

Using the air-sea data set of January, 1983 (the mature phase of the 1982/83 El Nino event), the net radiation on the sea surface, the fluxes of the latent and the sensible heat from ocean to the atmosphere and the net heat gain of the sea surface are calculated over the Indian and the Pacific Oceans for the domain of 35°N-35°S and 45°E-75°W. The results indicate that the upward transfer of the latent and the sensible heat fluxes over the winter hemisphere is larger than that over the summer hemisphere. The sensible heat over the tropical mid Pacific in the Southern Hemisphere is transported from the atmosphere to the ocean, though its magnitude is rather small. The latent heat flux gained by the air over the eastern Pacific is less than the mean value of the normal year. The net radiation, on which the cloud amount has considerable impact, is essentially zonally distributed. Moreover, the sea surface temperature (SST) has a very good correlation with the net radiation, the region of warm SST coinci     

南海表面浮力通量、水型变性及南海"暖水"的消长分析

利用英国南安普敦海洋中心(SOC)海-气界面的热量和淡水通量资料以及世界大洋图集(WOA01)的海面温度和盐度资料计算了南海表面各月的有效浮力通量及水型变性矢量场,分析了南海表层暖水形成和发展的季节性特征。研究结果表明,南海表层暖水的发展、维持以及消亡在很大程度上受到海洋表层浮力通量的影响;此外,南海上层水体密度的垂直结构和变化也深受表面浮力通量和表层水型变性的影响。在中、北部,南海的垂向结构季节性变化较为明显,其中冬季表层水体的下沉强度最大,深度最深,而夏季表层水体却无下沉趋势。