Validity of sea surface temperature observed with the TRITON buoy under diurnal heating conditions

In order to investigate the validity of buoy-observed sea surface temperature (SST), we installed special instruments to measure near-surface ocean temperature on the TRITON buoy moored at 2.07°N, 138.06°E from 2 to 13 March 2004, in addition to a standard buoy sensor for the regular SST measurement at 1.5-m depth. Large diurnal SST variations were observed during this period, and the variations of the temperatures at about 0.3-m depth could be approximately simulated by a one-dimensional numerical model. However, there was a notable discrepancy between the buoy-observed 1.5-m-depth SST (SST_1.5m) and the corresponding model-simulated temperature only during the daytime when the diurnal rise was large. The evaluation of the heat balance in the sea surface layer showed that the diurnal rise of the SST_1.5m in these cases could not be accounted for by solar heating alone. We examined the depth of the SST_1.5m sensor and the near-surface temperature observed from a ship near the buoy, and came to the conclusion that the solar heating of the buoy hull and/or a disturbance in the temperature field around the buoy hull would contribute to the excessive diurnal rise of the SST_1.5m observed with the TRITON buoy. However, the temperature around the hull was not sufficiently homogenized, as suggested in a previous paper. For the diurnal rise of the SST_1.5m exceeding 0.5 K, the daytime buoy data became doubtful, through dynamics that remain to be clarified. A simple formula is proposed to correct the unexpected diurnal amplitude of the buoy SST_1.5m.     

The effect of the wave-induced mixing on the upper ocean temperature in a climate model

The significant underestimation of sea surface temperature （SST） and the temperature in the upper ocean is one of common problems in present climate models. The influence of the wave-induced mixing on SST and the temperature in the upper ocean was examined based on a global climate model. The results from the model coupled with wave-induced mixing showed a significant improvement in the simulation of SST and the temperature in the upper ocean compared with those of the original model without wave effects. Although there has still a cold bias, the new simulation is much closer to the climatology, especially in the northern ocean and tropical ocean. This study indicates that some important physical processes in the accurate simulation of the ocean may be ignored in present climate models, and the wave-induced mixing is one of those factors. Thus, the wave-induced mixing （ or the effect of surface waves） should be incorporated properly into climate models in order to simulate or forecast the ocean, then climate system, more accurately.     

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。     

东海沿岸海水表层温度的变化特征及变化趋势

根据东海沿岸引水船、嵊山、大陈、南麂、北礵、平潭、厦门和东山8个海洋观测站的40a表层海水温度(SST)资料进行了统计与分析.研究结果表明:东海沿岸SST主要受制于太阳辐射,呈南高北低分布,但也不同程度地受到当地地理环境、气候环境、水文环境的影响;SST的年变化具有显著的年周期和半年周期;东海沿岸SST存在多种显著周期的振荡,且南北测站SST的主导振荡有差异;就近40a的资料而言,东海沿岸的SST总体呈上升趋势,其中冬季上升幅度最大,暖冬是SST总体呈上升趋势的重要因素.     

The KwaZulu-Natal sardine run: shoal distribution in relation to nearshore environmental conditions, 1997–2007

The nearshore presence of sardine Sardinops sagax on the KwaZulu-Natal (KZN) coast was investi-gated using sightings data collected by the KZN Sharks Board from 1997 to 2007. The spatio-temporal distribution of sardine was described in relation to that of their predators and to environmental conditions, and subjected to generalised linear model (GLM) and generalised additive model (GAM) analyses. Variables describing spatio-temporal conditions performed best in the models (r² = 0.52) with seasonal effects, specifically June and July, making the greatest contribution towards sardine presence. The contribution of the years 2003, 2006 and 2007, and the KZN North Coast, was signif-icantly lower. The predator variables were highly significant (r² = 0.48) with Cape gannets Morus capensis, followed by the sharks/gamefish and common dolphins Delphinus capensis, being most closely associated with sardine presence. Environmental variables were not as influential in the GLM models (r² = 0.23), but some variables were useful in describing conditions favouring sardine presence, namely calm current conditions, light north-westerly land breezes and stable atmospheric conditions. Increasing sea surface temperature (SST), moderate north to south currents, large swells and turbid water had a negative impact upon sardine presence. North-easterly and north-westerly winds and north to south currents had a cooling effect upon nearshore SSTs, whereas south-easterly winds and increasing air temperatures caused nearshore warming. Results are discussed in the context of developing an understanding of the mechanisms that govern fine-scale movements of sardine shoals during the KZN sardine run, with a view to predicting such movements.     

西太平洋暖池SST变异对山东夏季降水的影响

西太平洋暖池展布于热带太平洋中、西部海域，其水温终年高于28℃(Wyrtki，1989；张启龙等，1997)。其最主要特征是水温高，热含量丰富。西太平洋暖池是全球大洋表面水温(SST)最高的海域，也是全球大气运动最主要的热源地和对流活动的最活跃区。暖池以热量和水汽形式将大部分能量释放给大气，从而影响大气环流系统。海-气耦合模式研究表明(Philander，1990)，暖池海域SST的变化，尤其是它处于高值时的微小变化会对大气环流演变产生十分显著的影响。近年来的一些研究结果也表明(黄荣辉等，1994；董敏等，1994)，暖池SST的异常会导致大气环流，尤其是西太平洋副热带高压的异常变化，进而影响东亚夏季降水。由此可见，暖池SST的变异对东亚乃至全球气候的异常及灾害的形成有着十分重要的作用。 山东位于我国东部，是旱涝灾害多发的省份之一。山东全年的降水量主要集中在夏季(6~8月)，其夏季降水量占全年降水量的60%以上。可见，夏季降水量的多寡对山东全年的天气变化和农业生产有重要影响。因此，开展山东夏季降水及其长期预测研究不仅具有重要的学术意义而且还有深远的现实意义。 近年来，许多学者已就西太平洋暖池热状态变异对我国东部地区汛期降水的影响进行了研究，并取得了一些颇有意义的成果(黄荣辉等，1994；翁学传等，1996)。然而，在以住的研究中，涉及西太平洋暖池对山东夏季降水影响的研究却很少，迄今尚未见专文报道。本文作者利用中国国家气候中心提供的1950~1998年间太平洋2°×2°经纬度格点月平均SST资料、1951~1998年间西太平洋副热带高压指数和1961~1999年间山东省气象台站的降水资料，研究了西太平洋暖池SST变异对山东夏季降水的影响，为山东夏季旱涝预测研究提供科学依据。     

黄海表面水温场的准周期变化分析

本文用能谱方法分析了黄海的海表面水温(SST)场的准周期变化。由分析结果清楚地看出,SST具有高频准周期变化:黄海北部以2.6—3.2,1.4—1.7,3.6—3.8和6.7个月的准周期为主;3.3—3.6,5,1.3—2.3及6.7个月在黄海南部占优势。同时,两个海域都有6.7和3.3年的明显的准周期变化。     

2003年西北太平洋热带气旋活动特征分析

本文综述了2003年西北太平洋上热带气旋活动特征，并对西北太平洋副热带高压特征量及赤道东太平洋海温与常年进行比较和相关分析，从而找出2003年西北太平洋热带气旋活动特征的成因。     

基于卫星遥感海温数据的南海SST预报误差订正

尝试利用卫星遥感高分辨率海表温度资料GHRSST (Group for High Resolution Sea Surface Temperature) 与海表温度(sea surface temperature, SST)数值预报产品之间的误差, 建立一种南海SST模式预报订正方法。首先, 利用南海的Argo浮标上层海温数据对GHRSST 海温数据进行验证, 结果表明两者之间均方根误差约为0.3℃, 相关系数为0.98, GHRSST 海温数据可用于南海业务化数值预报SST的订正。预报订正后的SST与Argo浮标海温数据相比, 24h、48h和72h的均方根误差均由0.8℃左右下降到0.5℃以内。与GHRSST 海温数据相比, 南海北部海域(110°E—121°E, 13°N—23°N)订正后的24h、48h和72h的SST预报空间误差均显著减小, 在冷空气影响南海期间或中尺度涡存在的过程中, SST预报订正效果也较为显著。因此, 该方法可考虑在南海业务化SST数值预报系统中应用。     

基于自动探测方法的南海北部涡致海表温度锋面的特征研究

南海北部具有丰富的温度锋面和中尺度涡,它们调节着局地的热量和能量平衡。本文利用卫星海洋高度异常和海表温度数据,并基于自动探测方法,探究了2007年至2017年南海北部中尺度涡边缘的海表温度锋面（涡致锋面）特征。反气旋/气旋边缘出现锋面的概率可达20%。气旋涡在各个方向上出现锋面的概率比较均匀,反气旋涡的东北部和西南部出现锋面的概率大于西北部和东南部。中尺度涡致锋面的数量有明显的季节变化,而涡动能未表现出明显的季节变化。中尺度涡致锋区的总涡动能是中尺度涡内动能的3倍,并且反气旋涡致锋面的总涡动能明显强于气旋涡致锋面的总涡动能。中尺度涡致锋面的数量和涡动能的年际变化与厄尔尼诺南方涛动指数没有明显的相关性。本研究也讨论了中尺度涡致锋面的可能机制,但是中尺度涡对海表温度锋的贡献需要进一步定量研究。