Trends of sea surface temperature and sea surface temperature fronts in the South China Sea during 2003–2017

The trends of the sea surface temperature(SST) and SST fronts in the South China Sea(SCS) are analyzed during2003–2017 using high-resolution satellite data. The linear trend of the basin averaged SST is 0.31°C per decade,with the strongest warming identified in southeastern Vietnam. Although the rate of warming is comparable in summer and winter for the entire basin, the corresponding spatial patterns of the linear trend are substantially different between them. The SST trend to the west of the Luzon Strait is characterized by rapid warming in summer, exceeding approximately 0.6°C per decade, but the trend is insignificant in winter. The strongest warming trend occurs in the southeast of Vietnam in winter, with much less pronounced warming in summer. A positive trend of SST fronts is identified for the coast of China and is associated with increasing wind stress. The increasing trend of SST fronts is also found in the east of Vietnam. Large-scale circulation, such as El Ni?o, can influence the trends of the SST and SST fronts. A significant correlation is found between the SST anomaly and Ni?o3.4 index, and the ENSO signal leads by eight months. The basin averaged SST linear trends increase after the El Ni?o event(2009–2010), which is, at least, due to the rapid warming rate causing by the enhanced northeasterly wind. Peaks of positive anomalous SST and negatively anomalous SST fronts are found to co-occur with the strong El Ni?o events.     

基于MTSAT卫星遥感的中国海及西北太平洋海域海表温度日增温研究

Hourly sea surface temperature(SST) observations from the geostationary satellite are increasingly used in studies of the diurnal warming of the surface oceans. The aim of this study is to derive the spatial and temporal distribution of diurnal warming in the China seas and northwestern Pacific Ocean from Multi-functional Transport Satellite(MTSAT) SST. The MTSAT SST is validated against drifting buoy measurements firstly. It shows mean biases is about –0.2°C and standard deviation is about 0.6°C comparable to other satellite SST accuracy. The results show that the tropics, mid-latitudes controlled by subtropical high and marginal seas are frequently affected by large diurnal warming. The Kuroshio and its extension regions are smaller compared with the surrounding regions. A clear seasonal signal, peaking at spring and summer can be seen from the long time series of diurnal warming in the domain in average. It may due to large insolation and low wind speed in spring and summer, while the winter being the opposite. Surface wind speed modulates the amplitude of the diurnal cycle by influencing the surface heat flux and by determining the momentum flux. For the shallow marginal seas, such as the East China Sea, turbidity would be another important factor promoting diurnal warming. It suggests the need for the diurnal variation to be considered in SST measurement, air-sea flux estimation and multiple sensors SST blending.     

东中国海海温在增暖停滞期的变化特征及成因分析

通过HadSST3原始观测数据和HadISST1重组数据,分析了东中国海海温在增暖停滞期(1998—2014年)的变化特征。研究表明:两组数据的海温变化特征和程度相似。在增暖停滞期,渤海、黄海和东海海温线性趋势主要表现为负,降温最多的集中在长江口附近,约-1℃。渤海、黄海及东海部分区域的净热通量对海温降低起正作用,而在东海黑潮区海洋的净热通量对海温降低起负作用,黑潮入侵的减弱可能是东海海表温度下降的主要原因。在增暖停滞期,海温变化趋势具有较显著的区域性季节特征。春季海温几乎呈现全海盆的下降趋势,尤以长江口附近下降最多,可达-1.4℃;夏季海温下降趋势较春季减弱,下降最多的地区主要集中在渤海;秋季渤海海温下降较明显;冬季海温变化主要在长江口沿岸,渤黄海海温的变化并不明显。     

Multitime scale variations of sea surface temperature in the China seas based on the HadISST dataset

The variability of the sea surface temperature(SST) in the China seas has been studied in seasonal,interannual and interdecadal scales based on the monthly data of HadISST spanning from 1870 to 2007. The main results obtained are SST in the China offshore changes most actively at the seasonal scale with the intensity diminishing from north to south,as the temperature differences between summer and winter reaching 17 and 4 C in the northern and southern areas,respectively. Moreover,seasonal variation near the coastal regions seems relatively stronger than that far from the coastline;significant interannual variations are detected,with the largest positive anomaly occurring in 1998 in the overall area. But as far as different domains are concerned,there exists great diversity,and the difference is also found between winter and summer. Differed from the seasonal variations,where the strongest interannual variability takes place,resides to the south of that of the seasonal ones in the northern section,nevertheless in the South China Sea,the most significant interannual variability is found in the deep basin;interdecadal changes of summer,winter and annual mean SST in different domains likewise present various features. In addition,a common dominant warming in recent 20 a are found in the overall China offshore with the strongest center located in the vicinity of the Changjiang Estuary in the East China Sea,which intensifies as high as 1.3 C during the past 130 a.     

台湾以东黑潮经向热输送变异及可能的气候效应

基于日本气象厅长序列水文再分析资料,通过估算台湾以东黑潮24°N断面热输送量,分析了该断面黑潮热输送的低频变异特征,并探讨了热输送变异与我国近海海表温度异常变化以及前期(前秋、前冬和春季)和同期(夏季)热输送变异与我国夏季降水异常变化的关联性。小波分析显示,台湾以东黑潮(24°N断面)热输送异常存在着显著的准2 a周期振荡和约16 a的年代际变化,且以上显著周期主要存在于20世纪60年代中期以后,另外,台湾以东黑潮(24°N断面)热输送变异的季节差异明显;50多年来,台湾以东黑潮(24°N断面)热输送呈现出长期增强趋势,但变化幅度不大,且各季节长期趋势也有所不同。相关分析表明,台湾以东黑潮(24°N断面)热输送低频变异可能是我国东部近海SST变化的一个重要因素。另外,回归分析发现,前期及同期台湾以东黑潮(24°N断面)热输送变异对我国东部夏季降水异常变化有显著指示性,可能存在较大影响。     

CMIP5模式对中国近海海表温度的模拟及预估

基于观测和再分析资料;利用多种指标和方法评估了国际耦合模式比较计划（CMIP5）中21个模式对中国近海海温的月、季节和年际变化模拟能力。多模式集合能够再现气候平均意义下近海海温的空间分布特征;但量值上存在一定的低估。在渤海和黄海;集合平均与观测差别比较明显。在年际尺度上;与观测数据对比;模式模拟海温与Niño3指数相关性较小。中国近海海表面温度在1960-2002年有明显的升高趋势;从2003年开始增温趋缓。评估结果表明;ACCESS1.0、BCC-CSM1.1、HadGEM2-ES、IPSL-CM5A-MR、CMCC-CM、FGOALS-g2、CNRM-CM5-2、INMCM4八个模式对中国近海海温的变化有较好的模拟能力。利用ACCESS1.0、INMCM4、BCC-CSM1.1、IPSL-CM5A-MR、CMCC-CM这5个模式结果对中国近海海温未来的变化进行了预估。在RCP4.5、RCP8.5情景下;未来近100年中国近海海温有明显升高趋势;最优模式多模式集合平均增温分别可达到1.5℃、3.3℃;净热通量变化和平流变化共同促进了东海升温。     

Homogenization and trend analysis of 1960–2015 in situ sea surface temperature observations along the coast of China

Sea surface temperature(SST) measurements from 26 coastal hydrological stations of China during 1960–2015 were homogenized and analyzed in this study. The homogenous surface air temperature(SAT) series from meteorological stations which were highly correlated to SST series was used to construct the reference series.Monthly mean SST series were then derived and subjected to a statistical homogeneity test, called penalized maximal t test. Homogenized monthly mean SST series were obtained by adjusting all significant change points which were supported by historic metadata information. Results show that the majority of break points are caused by instrument change and station relocation, which accounts for about 61.3% and 24.2% of the total break points,respectively. The regionally averaged annual homogeneous SST series from the 26 stations shows a warming trend(0.19°C per decade). This result is consistent with that based on the homogenized annual mean SAT at the same region(0.22°C per decade), while the regionally averaged mean original SST series from the same stations shows a much weaker warming of 0.09°C per decade for 1960–2015. This finding suggests that the effects of artificial change points on the result of trend analysis are remarkable, and the warming rate from original SST observations since 1960 may be underestimated. Thus a high quality homogenized observation is crucial for robust detection and assessment of regional climate change. Furthermore, the trends of the seasonal mean homogenized SST were also analyzed. This work confirmed that there was an asymmetric seasonal temperature trends in the Chinese coastal water in the past decades, with the largest warming rate occurring in winter. At last,the significant warming in winter and its relationships to the variability of three large-scale atmospheric modes were investigated.     

利用卫星资料分析黄海海表温度的年际与年代际变化

海表温度长期变化在一定程度上反映了海域的气候变化信号,卫星遥感资料是获取高时空分辨率水温长期变化的有效手段。基于国家海洋局1982—1999年黄海断面监测器测数据的2 954组水温数据对时空匹配的卫星(NOAA/AVHRR)反演海表温度(SST)进行校验,计算得到卫星反演SST系统偏差为(0.18±1.00)℃。卫星反演的水温空间分布以及长期变化趋势与器测趋势较为一致,可以用来研究海域SST长期变化规律。利用校验后1982-01～2011-08NOAA/AVHRR的SST数据,分析了该时段黄海冬夏季代表月2、8月海表水温的变化规律。结果显示:(1)近30a,黄海冬季水温有2次跃迁:1989—1990年由冷至暖的状态跃迁,2000-2001年出现由暖至冷的状态转变;1990年代冬季水温达最高,相比1880年代,水温升高1.07℃,新世纪水温稍有降低,水温较1990年代下降了0.53℃,温度变化较大区域位于北黄海、山东半岛沿岸,苏北浅滩毗邻海区,该区SST与局地经向风场存在显著正相关,且北极涛动通过影响冬季风间接影响黄海水温变化;(2)夏季海表水温在1994—1995年呈现由冷至暖的状态跃迁,冷、暖期水温相差0.57℃,水温变化较显著的区域为黄东海分界处,其具体变化机制需深入研究。     

东海陆架表层水温年际变化时空特征分析

结合东海沿岸嵊山(北)和厦门(南)站1960—2001年海表温度(SST)监测数据与东中国海1982—2011年AVHRR水温资料,讨论了台站监测的空间代表范围,分析了东海陆架SST年际变化的时空特征。结果表明,嵊山和厦门站SST变化分别代表内陆架和台湾海峡。东海陆架52年来SST总体呈升温趋势,冬季最为显著;内陆架的升幅远大于台湾海峡。内陆架水温冬季分别在1977年和1995年发生两次跃升,共升温2.34℃;春、夏、秋季均在1994年发生冷暖转折,分别升高1.19℃、1.43℃和1.16℃。台湾海峡水温冬季在1989年跃升0.91℃,夏季在1987年跃升0.38℃,春、秋季则在1996—1997年间分别升温0.80℃和0.58℃。全年水温变化最大处在长江口附近内陆架海区,可能的主导因素是低盐水与外海水混合:随季风、降水、径流变化的沿岸流、长江冲淡水和台湾暖流给该区域带来不同水团,使得热量向下层输运减少,从而导致东海内陆架升温快于其它海区。     

Argos表面漂流浮标在黑潮区的若干观测结果

利用近几年国家海洋局第二海洋研究所及国家海洋技术中心在南海和西北太平洋海域布放的部分卫星跟踪表面漂流浮标所取得的观测资料,分析了浮标流经海域的表层海流特征及浮标漂移路径上水温的变化。结果表明:2003年1月,黑潮表层水有入侵南海的趋势,夏季南海表层水经吕宋海峡流出,汇入黑潮主干;夏末冬初,黑潮主干经过东海时明显呈弯曲流动;2003年春季,日本以南海域黑潮弯曲不明显;台湾东北部海域存在一个强反气旋涡;表层海水的温度日变化和季节变化明显,在浮标漂移路径呈反气旋或气旋式转动的区域,对应出现了表层水温的高、低温区。     

Seasonal variation of atmospheric coupling with oceanic mesoscale eddies in the North Pacific Subtropical Countercurrent

This study investigated the seasonal variation in the atmospheric response to oceanic mesoscale eddies in the North Pacific Subtropical Countercurrent (STCC) and its mechanism, based on satellite altimetric and reanalysis datasets. Although mesoscale eddy in the study area is more active in summer, the sea surface temperature (SST) anomaly associated with mesoscale eddies is more intense and dipolar in winter, which is largely due to the larger background SST gradient. Similarly, the impact of the oceanic eddy on sea surface wind speed and heat flux is strongest in winter, whereas its effect on precipitation rate is more significant in summer. The study revealed that the SST gradient in STCC could impact the atmosphere layer by up to 800 hPa (900 hPa) in boreal winter (summer) through the dominant vertical mixing mechanism. Moreover, the intensity of the SST gradient causes such seasonal variation in mesoscale air-sea coupling in the study region. In brief, a stronger (weaker) background SST gradient field in wintertime (summertime) leads to a larger (smaller) eddy-induced SST anomaly, thus differently impacting atmosphere instability and transitional kinetic energy flux over oceanic eddies, leading to seasonal variation in mesoscale air-sea coupling intensity.     

Ocean temperature change around New Zealand over the last 36 years

Ocean temperature changes around New Zealand are estimated from satellite sea surface temperature (SST) products since 1981, two high resolution expendable bathythermograph transects (HRXBT) since 1986 and 1991, and Argo data since 2006. The datasets agree well where they overlap. Significant surface warming is found in subtropical waters. Greatest warming is east of Australia and in the central Pacific. All NZ coastal waters are warming, with strongest warming east of Wairarapa and weakest between East Cape and North Cape. Temperature changes are surface intensified, extending to ～200 m in the northeast and at least 850 m in the eastern Tasman. Significant interannual variability is coherent over a large area of ocean north of the Subtropical Front and modulates extreme events. NZ air temperatures are highly correlated at interannual timescales with SSTs over a broad region of ocean north of the Subtropical Front from the eastern Tasman to east of the dateline.     

Quality control methods for KOOS operational sea surface temperature products

Sea surface temperature SST obtained from the initial version of the Korea Operational Oceanographic System(KOOS) SST satellite have low accuracy during summer and daytime. This is attributed to the diurnal warming effect. Error estimation of SST data must be carried out to use the real-time forecasting numerical model of the KOOS. This study suggests two quality control methods for the KOOS SST system. To minimize the diurnal warming effect, SSTs of areas where wind speed is higher than 5 m/s were used. Depending on the wind threshold value, KOOS SST data for August 2014 were reduced by 0.15°C. Errors in SST data are considered to be a combination of random, sampling, and bias errors. To estimate bias error, the standard deviation of bias between KOOS SSTs and climatology SSTs were used. KOOS SST data yielded an analysis error standard deviation value similar to OSTIA and NOAA NCDC(OISST) data. The KOOS SST shows lower random and sampling errors with increasing number of observations using six satellite datasets. In further studies, the proposed quality control methods for the KOOS SST system will be applied through more long-term case studies and comparisons with other SST systems.     

中国近海海表温度变化的极端特性及其气候特征研究

本文基于1982–2017年日再分析数据，分析了中国近海海表温度变化的极端特性、历史演变、空间格局及可能影响，并探讨了与全球变化和区域气候变率的关联性。近30多年来，中国近海海表总体升温明显，尤以春季长江口附近及以南的外部近岸海域升温最为显著，线性升温速率高达0.2°C/(10 a)。相比而言，沿岸海域对气候变暖暂缓的响应可能更为明显；极端高(低)温强度以显著增强(减弱)为主，尤以春(夏)季幅度最大。沿岸海域春季极值温差增强显著，易通过物候变化引起生物迁移和赤潮等生态灾害突发、频发；北部海域极端事件持续天数大于南部，其中，黄海、东海极端高温持续天数增加显著，可能对渔业资源产生较大影响。受气候变暖暂缓影响，极端低温持续天数亦显著增加；极端高温在长江口附近，台湾海峡和南海北部等海域累积频次上升显著，未来极端海洋热浪事件可能持续增加，将对南海珊瑚礁等产生较大影响。极端低温累积频次以显著降低为主。然而长江口及以南沿岸极端低温在冬春季增强明显，可能对红树林等产生一定影响；太平洋年代际振荡(PDO)暖位相期间，ENSO暖事件得到增强，易引起中国近海海表极端低温的频发。北极涛动(AO)正位相时，限制了极区冷空气向南扩展，中国近海海表极端高温频次趋于增加，其危险性增强。     

The influence of ENSO on sea surface temperature variations in the China seas

Positive SST anomalies usually appear in remote ocean such as the China seas during an ENSO event.By analyzing the monthly data of HadISST from 1950 to 2007,it shows that the interannual component of SST anomalies peak approximately 10 months after SST anomalies peak in the eastern equatorial Pacific.As the ENSO event progresses,the positive SST anomalies spread throughout the China seas and eastward along the Kuroshio extension.Atmospheric reanalysis data demonstrate that changes in the net surface heat flux entering into the China seas are responsible for the SST variability.During El Ni o,the western north Pacific anticyclone is generated,with anomalous southwester lies prevailing along the East Asian coast.This anticyclone reduces the mean surface wind speed which decreases the surface heat flux and then increases the SST.The delays between the developing of this anticyclone and the south Indian Ocean anticyclone with approximately 3–6 months cause the 2–3 months lag of the surface heat flux between the China seas and the Indian Ocean.The northwestern Pacific anticyclone is the key process bridging the warming in the eastern equatorial Pacific and that in the China seas.     

CMIP5模式对南海SST的模拟和预估

分析了32个CMIP5模式对南海历史海表温度(SST)的模拟能力和不同排放情景下未来SST变化的预估。通过检验各气候模式对南海历史SST增温趋势和均方差的模拟,发现大部分模式都能较好地模拟出南海20世纪历史SST的基本特征和变化规律,但也有部分模式的模拟存在较大偏差。尽管这些模拟偏差较大的模式对SST多模式集合平均的影响不大,但会增加未来情景预估的不确定性。剔除15个模式后,分析了南海SST在RCP26、RCP45和RCP85三种排放情景下的变化趋势,发现在未来百年呈明显的增温趋势,多模式集合平均的增温趋势分别为0.42、1.50和3.30℃/(100a)。这些增温趋势在空间上变化不大,但随时间并不是均匀变化的。在前两种排放情景下,21世纪前期的增温趋势明显强于后期,而在RCP85情景下,21世纪后期的增温趋势强于前期。     

全球变暖背景下南海动力海平面变化

由于分辨率不足等原因,当前大部分全球耦合气候模式对南海等海洋区域的模拟能力仍然较低。本文基于超高分辨率（Ultra high-resolution） CESM-UHR耦合模式（大气和海洋水平分辨率分别达到约25 km和约10 km）研究了南海动力海平面对全球变暖的响应。研究发现：（1） CESM-UHR能够较好地模拟出南海冬、夏季节性动力海面高度和表层环流变化;（2）在四倍二氧化碳试验下,冬季南海动力海平面变化呈现出中部低、近岸高的分布特征;夏季则呈现出西北部低、东南部高的分布特征,分别对应冬、夏表层地转流增强趋势;（3）冬、夏动力海平面变化特征与风应力旋度变化具有很好的对应关系;（4）全球变暖下南海海平面变化存在季节循环放大效应,这将增大南海极端水位灾害风险。     

厄尔尼诺期间和后期南海海面温度的两次显著增暖过程

通过分析ICOADS海洋气象资料，结合ISCCP短波辐射和OISST海面温度，研究并探讨了ENSO等大尺度海气相互作用过程背景下南海海表面温度（SST）的年际变化。研究表明，南海SSTA的年际变化和ENSO关系密切，并且分为两个阶段。以增暖事件为例，在厄尔尼诺（El Nino）发生年的冬季和消亡年的夏季，南海出现了两次显著增暖。第一次增暖出现在El Nino盛期，是El Nino影响的一部分，这时南海云量减少，净太阳辐射通量增加，SST上升。第二次增暖出现在El Nino结束后的夏季，不是El Nino直接作用的结果；这时夏季风减弱，一方面使得海洋的潜热损失减少，另一方面减弱了越南东部沿岸的上升流，两者的共同作用导致SST增加。     

The Indian Ocean’s asymmetric effect on the coupling of the Northwest Pacific SST and anticyclone anomalies during its spring–summer transition after El Niño

By comparing different climatologies in El Niño decaying summer with regard to the presence of Indian Ocean Basin (IOB) warming, we studied the effect of IOB warming on the Northwest Pacific sea surface temperature (SST) anomalies and the coupling process with the surface wind. Zonal asymmetric coupling feedback in the west and east of the Northwest Pacific were caused by the asymmetric spring–summer transition of the background tropical atmospheric circulation. Although the westward wind anomaly caused by the remote effect of IOB warming is found in the whole Northwest Pacific, reversal of the mean background surface winds in the western part leads to negative wind-evaporation SST (WES), whereas sustained trade winds lead to positive WES in the eastern part. The east–west SST gradient resulting from this zonal asymmetric evolution of SST sets off more positive feedback that strengthens the local anticyclone easterly anomalies.     

苏北浅滩及长江口海域春季海表面温度长期升温机制分析

在1982—2016年,苏北浅滩及长江口海域春季海表面温度主要呈现出从南至北、从近岸至离岸升温趋势逐渐减小的特征,其中长江口附近海域升温速率最大。研究显示,苏北浅滩及长江口附近海域春季海表面温度的长期升温趋势主要与该海域经向热输送及长江平流热输送的增强有关。进一步的研究发现,春季经向风速的增强导致该海域经向热输送的增加,而春季经向风速的年际及年代际变率又受到太平洋年代际振荡、北极涛动的调控,其中,太平洋年代际振荡指数与经向风速呈负相关,北极涛动指数与经向风速呈正相关,北极涛动指数的年际增加以及太平洋年代际振荡指数的年际降低使得春季南风增强,进而南向的冷平流减弱,北向的热平流增强,使该海域春季海表面温度长期升温。在此过程中,净热通量对其升温过程起到抑制作用,而前冬海温主要是对春季海表面温度的年代际振荡产生重要影响,其主要体现为1982—1999年的升温及2000—2016年的降温过程。