南海海洋温度锋面时空特征遥感分析

使用2010–2020年微波和红外融合SST数据,利用温度梯度法计算总温度梯度,获取了南海海面温度的水平变化梯度,开展了锋面位置、锋面平均强度及中心线长度的研究。利用锋面信息结果,开展了南海锋面气候态分布特征和年际变化分析和锋面强度与海面风场的相关性分析。结果发现：南海区域探测到的8个锋面多为河口锋和陆架锋,均有明显的季节态变化。1–2月检测到的锋面数量最多,所有锋面均可被检测;3–4月有较小幅度地减少,主要体现在马来西亚–菲律宾西侧沿岸锋和泰国湾锋的消失;5–9月呈现持续减少的趋势,并在9月达到最小值,仅检测到台湾海峡及广东福建沿岸锋和越南沿岸锋;10–12月开始有所回升,南海北部沿岸锋面开始被检测到。台湾海峡及广东福建沿岸锋平均梯度全年与风速的相关程度都在0.48以上,越南沿岸锋与纬向风相关系数最低为0.021。相比较夏季来说,冬季平均梯度与风速的相关程度较高。     

台湾海峡及其邻近海域海面温度锋的卫星遥感观测

使用1989~2001年的NOAA AVHRR图像,研究了我国台湾海峡及其邻近海域的海面温度锋.卫星遥感观测表明,该海域海面温度锋终年存在,锋面沿50~100 m等深线分布,西段呈西南西-东北东走向,东段以舌状向北突出,长约470 km.给出了该海域海面温度锋的多年月平均、季平均和年平均特征值.统计结果显示,锋的平均强度、平均最大强度和平均宽度分别为0.147,0.281℃/km和15.15 km.锋的各种特征存在明显的季节和年际变化.锋的不稳定性普遍存在,沿锋面常形成半环状的锋波,使锋面呈半环状波动分布.锋波形成的时间尺度约为1~7 d,锋的波长约为35~133 km,年平均波长为63 km,波幅为25~70 km.锋面的波动向北东北方向传播,并存在锋面整体向北东北的平移现象.     

印度尼西亚西岸温盐锋时空变化特征

通过WOA13多年季节气候态数据分析了印度尼西亚5°S锋面与15°S锋面的季节变化特征及水平方向垂直方向上变化特点:两处海洋锋均在表层以下,其中5°S附近仅有温度锋,主要存在于1—6月份,1—3月份为锋强度最大时期,集中在30—100 m水层内。15°S处既存在温度锋又存在盐度锋,全年均有锋现象,但其强度存在季节差异。对比声速剖面,发现声速在从南到北穿越5°S(15°S)锋面时逐渐声速减小(增大)。     

琼东和粤西海表温度锋的季节与年际变化特征分析

以2006—2013年卫星遥感海表温度资料(GHRSST SST)为基础,通过数字图像处理的边缘检测方法提取温度锋面的核心位置,分析了琼东、粤西海域海表温度锋位置及强度的季节变化和年际变化特征,并进一步结合海面高度异常资料和海面风场资料探讨了温度锋变化的可能机制。分析结果表明,琼东、粤西海域温度锋的空间分布及锋面强度存在显著的季节变化,沿岸风应力是影响该海域锋面变化的主要动力因素。夏季温度锋面主要分布于琼东沿岸的东部及南部海域近岸50m到100m等深线之间,而冬季则主要分布在琼东的东部海域和粤西沿岸20m到100m等深线之间,春秋两季为其过渡季节;锋面强度的季节变化表现为冬季最强,春季、夏季次之,秋季最弱,其冬季锋面强度平均值可达到3℃?100km–1,夏季为1.7℃?100km–1;同时,锋面核心位置及强度的分析结果表明,琼东和粤西海域温度锋也存在较强的年际变化。     

夏季江淮地区雨量与印度洋海温联系的年代际变化

探讨了近50a（1951-2000年）来太平洋年代际振荡（PDO）冷暖位相中夏季江淮地区雨量与印度洋海温年际遥相关空间分布的差异,结果显示,不同季节的印度洋海温与夏季江淮地区雨量之间的联系存在显著的年代际变化。在PDO冷位相（1951-1976年）,同期夏季和后期秋季南印度洋海温与夏季江淮地区雨量的负相关最显著;而在PDO暖位相（1977-2000年）,从前期春季到后期秋季热带印度洋表现为持续的正相关,其中同期夏季赤道东印度洋SST与夏季江淮地区雨量的正相关最大,前期春季热带西印度洋SST异常对夏季江淮地区雨量变化有重要的预示性,后期秋季热带印度洋偶极子（IOD）强度与夏季江淮地区雨量变化密切相关。它反映了印度洋海温和东亚季风降水之间年际相关的不稳定性,季风系统中年际和年代际振荡间的相互作用是引起这种不稳定的主要原因。PDO和伴随的亚非大陆和印度洋地区之间海陆热力差异的年代际变化对印度洋海温和东亚季风降水年际联系具有明显的调节作用。     

北部湾温度锋的季节与年际变化

采用8a(1991—1998)的卫星遥感海水表面温度资料(AVHRR SST)对北部湾温度锋的季节变化与年际变化规律进行了探讨。北部湾海区温度锋的季节态强弱趋势为春季最强，夏季、冬季次之，秋季最弱。在年际时间尺度上，温度锋强度与SST距平(SSTA)存在响应关系，表现在：1)SST正距平对应较弱的锋面产生，负距平对应较强的锋面产生，这种相关性在冬季表现得最为明显；2)锋面的强弱与SSTA绝对值存在正相关关系，即SSTA变化越大，锋面越强。在冬季，温度锋强度与海面风经向分量相关，在偏北风异常情况下，锋面较强；反之，锋面较弱。     

基于融合遥感数据的广东沿岸温度锋面的季节变化研究

基于2015年全年多源遥感数据融合的Operational Sea Surface Temperature and Sea Ice Analysis(OSTIA)海表温度数据,利用最大温度梯度法,对广东沿岸(20°—23°N,110°—118°E)海表温度锋面的季节变化及生消机制进行了分析。广东沿岸温度锋面季节变化明显,冬季强,夏季弱;粤东温度锋面常年存在,粤西温度锋面夏季消失;珠江口区域温度锋面与珠江羽状流的扩散路径有关,即夏季锋面主轴往东北方向延伸,秋季往西南方向延伸。对比温度锋面与风速的关系,发现其形成及消失受季风的影响。通过简单的模型实验,发现季风通过影响锋面两侧的湍流热通量引起锋面强度的变化:西南(东北)季风带来的暖湿(干冷)空气减弱(增加)了近岸冷水的潜热释放,导致冷水区温度上升(下降)大于暖水区,引起锋面消失(生成)。     

太平洋赤道海区海洋锋时空分布特征分析

基于WOA13的温盐数据资料,利用绝对梯度分析法,对太平洋赤道海区的温度、声速锋面的时空分布特征进行了分析,结果表明,3种要素的锋面均存在于一南一北两个位置。温度锋面:北赤道温度锋面全年均存在,锋面位置主要分布在7°N、水深30~200 m处,锋面随深度加深逐渐向西移动,秋季锋面分布范围最广且锋强度最大,春季锋面分布范围最小且锋强度最小。南赤道温度锋面全年存在,锋面位置主要分布在5°S、水深50~275 m处。随深度加深,锋面也逐渐向西移动且东西跨度变长。春季锋的强度最大,秋季的锋强度最弱。声速锋面:声速锋与温度锋的位置大致相同,且两者在锋轴线上同一点处的锋强度的相关系数接近于1,可见温度对声速的影响很大。此外,最大声速锋强出现在水深100 m处。     

长江河口盐度锋

根据1988－1991年河口锋面现场调查、上海市海岸带调查及历次标准断面调查资料对长江盐度场及盐度锋进行了分析，提出了由口门至外海纵向上存在着三级锋面现象：内侧锋面即长江河口锋为长江河口水与长江冲淡水的界面；羽状锋是长江口羽状流水与口外混合水的界面，它是长江口最主要的盐度锋面，也是长江口一个重要的生物地球化学带，对河口沉积过程及水下三角洲发育具有重要的影响。外侧锋面即海洋锋，是长江冲淡水的最外边缘。     

基于Argo的热带印度洋上层海温研究

利用2004年1月—2008年8月的月平均Argo再处理资料和NCEP风场资料,对热带印度洋2.5~500 m深度范围内的海温时空变化特征与机制进行了研究。结果表明:表层的阿拉伯海、孟加拉湾和赤道东印度洋是海温高值中心,同时是海温标准差低值中心,海温高的地方海温变化小,两者的分布型一致。在次表层,西南热带印度洋是海温高值区,赤道东西印度洋是海温低值区,次表层的海温变化最大,尤其在10°S~10°N之间的赤道印度洋。热带印度洋不同区域和深度的海温的显著周期不同,主要有1和0.5 a的显著周期。热带印度洋表层海温年周期变化主要受太阳辐射的影响,而0.5 a周期与季风有关。次表层以下海温变化主要是热带印度洋自身内部的动力作用,其1 a周期除了与太阳辐射和风有关,还与Rossby波和沿岸Kelvin波有关;其0.5 a周期除了季风这个主要因素,还与Wyrtki急流有关。海表面风场和LaNi~na是影响2006和2007年的正偶极子强度不同的重要因素。     

跨南大洋经向断面的大气垂直剖面特征研究

基于中国第29次南极科学考察期间获取的GPS探空观测数据,分析了东南印度洋和西南太平洋经向断面大气垂直结构的基本特征、季节变化和纬向差异。不同断面的大气垂向结构差异显著,但也具有共同特征,4000 m以下低空的气温和湿度明显高于高空,而低空风速明显小于高空风速,8000 m以上高空各个观测要素的垂直变化较小,整个断面主要以西风为主,整个垂直剖面湿度异常偏高(偏低)的区域通常对应上升(下沉)气流。给出了3个观测断面的大气锋面位置和类型,P1断面的大气锋面在47°~50°S,P2和P3断面的大气锋面在52°~58°S,P1和P2的锋面属于暖锋,P3的锋面由于气旋的影响分类不明显。东南印度洋大气剖面结构具有明显的季节变化,秋季和春季相比,秋季具有风速小,气温高特征,大气锋面更加偏南。东南印度洋和西南太平洋断面的大气剖面结构差异明显,二者相比,东南印度洋具有风速大、气温高及相对湿度小的特征,但大气锋面位置相同。     

Fronts in Large Marine Ecosystems

Oceanic fronts shape marine ecosystems; therefore front mapping and characterization are among the most important aspects of physical oceanography. Here we report on the first global remote sensing survey of fronts in the Large Marine Ecosystems (LME). This survey is based on a unique frontal data archive assembled at the University of Rhode Island. Thermal fronts were automatically derived with the edge detection algorithm of (Cayula and Cornillon, 1992), (Cayula and Cornillon, 1995) and (Cayula and Cornillon, 1996) from 12 years of twice-daily, global, 9-km resolution satellite sea surface temperature (SST) fields to produce synoptic (nearly instantaneous) frontal maps, and to compute the long-term mean frequency of occurrence of SST fronts and their gradients. These synoptic and long-term maps were used to identify major quasi-stationary fronts and to derive provisional frontal distribution maps for all LMEs. Since SST fronts are typically collocated with fronts in other water properties such as salinity, density and chlorophyll, digital frontal paths from SST frontal maps can be used in studies of physical–biological correlations at fronts. Frontal patterns in several exemplary LMEs are described and compared, including those for: the East and West Bering Sea LMEs, Sea of Okhotsk LME, East China Sea LME, Yellow Sea LME, North Sea LME, East and West Greenland Shelf LMEs, Newfoundland–Labrador Shelf LME, Northeast and Southeast US Continental Shelf LMEs, Gulf of Mexico LME, and Patagonian Shelf LME. Seasonal evolution of frontal patterns in major upwelling zones reveals an order-of-magnitude growth of frontal scales from summer to winter. A classification of LMEs with regard to the origin and physics of their respective dominant fronts is presented. The proposed classification lends itself to comparative studies of frontal ecosystems.     

Ocean control of the breeding regime of the sooty tern in the southwest Indian Ocean

Food availability, which is often seasonal, is regarded as a key factor in the breeding success of seabirds. In oceanic tropical areas, the resources are mostly patchy and ephemeral at the surface, and the seasonality is less marked than at higher latitudes. Such a situation influences greatly the breeding strategies of the oceanic seabird species. We conducted a comparative study of the breeding phenology of the sooty tern (Sterna fuscata) in relation to the local and regional oceanographic conditions around the four major colonies (Europa, Juan de Nova, Lys and Bird Islands) of the southwest Indian Ocean. Over the 1997–2003 period, around all the studied locations, the sea-surface temperature (SST) and the chlorophyll concentration in the Mozambique Channel and the Seychelles area showed clear seasonal differences related to the southern climate and the monsoon phenomena. The breeding activity is synchronized at each studied colony, but the timings are very different. Seasonal reproduction occurs in austral winter at Europa and Bird Island and in austral summer at Juan de Nova; at Lys Island the reproduction is non-seasonal. For the seasonal colonies, there is a large monthly change in SST just before the beginning of reproduction, which is a proxy indicating the annual phytoplankton bloom. This variation is accompanied by the development of oceanic features such as fronts that favour aggregation of prey, and may also play an important role in the presence of schools of surface tuna, which are very important for the foraging success of sooty terns. Conversely, around Lys Island the seasonal variations of the marine environment do not lead to pronounced development of oceanic structures, and consequently, the longer-lasting phytoplankton bloom could explain the non-seasonal breeding regime there. Further studies will help discern the advantages and disadvantages of seasonal and non-seasonal reproduction regime in response to unpredictable fluctuations of the marine environment.     

Sea surface temperature variations in the southwestern South China Sea over the past 160 ka

Sea surface temperatures (SSTs) in the southwestern South China Sea have been reconstructed for the past 160 ka using the Uk37 paleothermometer from the core MD01-2392. The temperature differences between glacial times (MISs 6 and 2) and interglacial times (MISs 5.5 and 1) are 2.2~2.5 ℃. Younger Dryas event during the last deglaciation was documented in both the planktonic foraminiferal δ18O and SST records. After MIS 5.5, SSTs displayed a progressive cooling from 28.6 to 24.5 ℃, culminating at the LGM. During this gradual cooling period, warm events such as MISs 5.3, 5.1 and 3 were also clearly documented. By comparison of SST between the study core and Core 17954, a pattern of low or no meridional SST gradients during the interglacial periods and high meridional SST gradients during the glacial periods was exhibited. This pattern indicates the much stronger East Asian winter monsoon at the glacial than at the interglacial periods. Spectral analysis gives two prominent cycles: 41 and 23 ka, with the former more pronounced, suggesting that SSTs in the southern SCS varied in concert with high-latitude processes through the connection of East Asian winter monsoon.     

Long-term changes in sea surface temperature(SST) within the southern Levantine Basin

Knowledge of sea surface temperature(SST) behaviour is vital for long-term climate scenarios. This study highlights essential outcomes about the distinguishable and unsurprising warming of the SST along the southern border of the Levantine Basin. The analysis is based on monthly SST data for the period 1948–2018. The southern Levantine Basin has undergone SST increase, during the last 71 years. In this study, a consistent warming trend has been found for the analysed SST data series, with a rate of 0.04°C/a, i.e., 0.4°C/(10 a). From 1975 to 1991 the mean annual SST was 17.1°C, and this increased to be 19.2°C, over the period 2002–2018. Results revealed two opposite trends of variability: a decreasing trend(–0.06°C/a) over the period 1975–1991, and an increasing trend(0.2°C/a) from 2002 to 2018. Over the period 1948–2018, positive mean annual SST anomalies had an average of1.8°C, and negative anomalies had an average of –1.1°C. The lowest SST total increase was found from January to April, with values about 0.03°C, while the highest warming appeared from June to September. The driving mechanisms behind the SST changes need to be more investigated, to understand the future trends and impacts of climate change in the Levantine Basin.     

2008/2009年冬季南海冷涌天气过程的海-气热通量交换及热量收支

冬季风期(11月—翌年3月)南海显著的气候特点是盛行东北季风并频繁地发生冷涌天气过程。使用2008年10月到2009年4月在西沙群岛永兴岛近海进行的海-气通量观测试验资料,分析了西沙海域冬季风期,尤其是冷涌时段的海-气通量交换和热量收支特征。结果表明:冬季风前期由于海-气温差增大,感热通量比西南季风期稍增加;潜热通量平均值与西南季风期接近;太阳总辐射明显降低,大气长波辐射减小,海洋热量净收入成为负值,使得秋季之后海面温度不断降低。冷涌期间海-气之间的感热通量高于冬季风期平均值,潜热通量大部分(1月份之前)也高于冬季风期平均值;由于潜热通量增大和太阳短波辐射减小,1月份之前的冷涌过程海洋热量净收支普遍出现较大负值,海洋失热量强于冬季风期,甚至强于2008年台风过程平均值。到了冬季后期太阳总辐射增强,海洋热量净收入转为正值,海水温度又逐渐升高。季节之间比较,观测区感热通量以冬季风期间最大,秋季次之,春季最小;而潜热通量夏季风期出现最大值,冬季次之,秋季最小。     

渤、黄、东海海表面温度年际变化特征分析

将渤、黄、东海海表面温度作为一个整体场,研究其年际变化特征,并进一步探讨其与东亚季风场年际变化特征的关系.利用美国NOAA极轨卫星中的高级甚高分辨率辐射计(AVHRR)反演的海表面温度资料,采用EOF方法分冬夏两季对渤、黄、东海SST的年际变化做了初步分析,发现渤、黄、东海SST存在显著的年际变化周期,冬季存在5 a的显著变化周期,夏季存在4 a的显著变化周期,并研究了东亚季风场的年际变化对SST变化产生的影响.发现冬季日Nin0年东亚寒潮活动弱于La Nina年,El Nino年SST较La Nina年偏高;夏季El Nino.年东亚夏季风活动弱于La Nina年,El Nino年SST较La Nina年偏低,但是趋势不如冬季明显.     

台湾岛周边海域近16a来海平面变化研究

利用1992年10月至2008年6月的卫星高度计融合资料对台湾岛周边海域（20°～28°N,117°～124°E）多年海平面变化进行分析.研究结果表明：（1）采用改进的月平均水位周期信号的谱分析方法计算多年来台湾岛周边海域海平面年均上升速率为0.34±0.02 cm/a,与该海域内的潮位站结果较为一致.（2）台湾岛周边海域海平面高度变化以1 a周期变化为主,其次为0.5 a、准2 a周期变化.（3）通过计算海平面异常的标准差得出多年来台湾海峡西南部海域海平面波动最为激烈.（4）分析了台湾岛周边海域海平面4个季节的变化情况,指出台湾岛周边海域海平面季节变化的主要驱动力是风场.     

东海温度锋的分布特征及其季节变异

根据１９３４－１９８８年东海水文观测资料，重点分析东海温度锋的分布特征及其季节变异，并结合近期中日黑潮合作调查研究成果，初步探讨温度锋季节变异和水团演变的关系，所得主要结论是：（１）东海不仅常年存在浙闽沿岸锋，东海北部陆架锋和黑潮锋，而且、春、夏两季，在东海南部还出现一条东海中部出架锋。（２）江海温度锋季节变化的特点是：冬季，锋的宽度和强度皆是表层最强，夏季，表层温度锋仅出现在浙江近岸小范围海域。     

Low-Frequency Temperature Variability at Fukue Island Located Southwest of the Tsushima Straits

Sea surface temperature (SST) and sea surface salinity variations at Fukue Island (located southwest of the Tsushima Straits) were investigated. In spring, low-frequency SST fluctuations with periods of 10–20 days predominate. Synthetic analysis of in situ observation and satellite infrared image reveals that these SST fluctuations are caused by movement of mixed warm water masses which have a temperature intermediate between those of the Kuroshio and the East China Sea (ECS) shelf waters. Since these fluctuations do not correspond with those in the Tsushima Straits, it is indicated that these water masses can hardly pass the Tsushima Straits while retaining their original water properties. In July, SST fluctuations with a period of several days are also found at Fukue Island. Since these SST fluctuations show an opposite correspondence with its salinity fluctuations and a good correspondence with the SST fluctuations at Okinoshima in the Tsushima Straits, it is inferred that warm and low-salinity water originated from the ECS shelf water causes these fluctuations and intrudes into the Tsushima Straits.