Reconstruction of Three-Dimensional Pacific Temperature with Argo and Satellite Observations

Combining Argo temperature and salinity profiles with satellite-derived sea surface temperature (SST), weekly three-dimensional temperature fields of the Pacific Ocean were reconstructed for the period January 2000 to December 2010. The data reconstruction methodology we used has three salient features: the first is a combined application of the Optimal Interpolation (OI) and the Multivariate Data Interpolating Empirical Orthogonal Function (MDINEOF) methods, the second is an emphasis on the multivariate nature of the vertical thermohaline structure, and the third is the inclusion of a continuous satellite-derived SST dataset to compensate for the discontinuities and the lack of surface observations in Argo data. Comparisons with other observations and data products indicate that our gridded temperature product is able to capture the main features of temperature distribution as well as its variability from intraseasonal to interannual time scales, thus providing a useful new dataset for ocean and climate studies.

RÉSUMÉ?[Traduit par la rédaction] En combinant les profils de température et de salinité Argo avec les températures de la surface de la mer dérivées des données satellitaires, nous avons reconstruit les champs tridimensionnels hebdomadaires de température de l'océan Pacifique pour la période de janvier 2000 à décembre 2010. La méthodologie de reconstruction des données que nous avons utilisée présente trois points saillants : le premier est une application combinée des méthodes de l'interpolation optimale et de la fonction orthogonale empirique d'interpolation de données multivariées (MDINEOF), le deuxième est une mise en évidence de la nature multivariée de la structure thermohaline verticale et le troisième est l'inclusion d'un ensemble continu de données de température de la surface de la mer dérivées des données satellitaires pour compenser les discontinuités et le manque d'observations de surface dans les données Argo. Les comparaisons avec d'autres observations et produits de données montrent que notre produit de températures à des points de grille est capable de discerner les caractéristiques principales de la distribution des températures de même que sa variabilité de l’échelle intrasaisonnière à l’échelle interannuelle, ce qui fournit un nouvel ensemble de données utile pour les études océaniques et climatiques.     

A dataset of global ocean surface currents for 1999-2007 derived from Argo float trajectories: Comparison with surface drifter and TAO measurements

A dataset of surface current vectors with error estimate from 1999 to 2007 is derived from the trajectories of the Array for Real-time Geostrophic Oceanography （Argo） drifting on surface over the global ocean. The error of the estimated surface currents is about 4.7 cm s-1 which is equivalent to the accuracy of the currents determined from the surface drifters. Geographically, the Argo-derived surface currents can fill many gaps left by the Global Drifter Program due to the greater number of floats, and can provide a complementary in situ observational system for monitoring global ocean surface currents. The surface currents from the Argo floats are compared with the surface drifter-derived currents and the Tropical Atmosphere Ocean program （TAO） measurements. The comparisons show good agreement for both the current amplitude and the direction of surface currents. Results indicate the feasibility of obtaining ocean surface currents from the Argo array and of combining the surface currents from Argo and the ocean surface drifters for in situ mapping of the global surface currents. The authors also make the dataset available to users of interest for many types of applications.     

不同混合层深度算法的全球适用性对比分析

混合层深度是研究海洋上层动力过程及海气相互作用的一个至关重要的物理量,准确估算混合层深度对上层海洋动力学和热力学的深入研究具有重要的科学意义。本文基于Argo实时观测剖面数据,分海域、分季节对比分析了目前常用的几种混合层深度算法的异同与优缺点。结果表明,理论上最大角度法的精确度最高,曲率法其次,然后是阈值法和最优线性拟合法。最大角度法和曲率法的结果比较接近,实测数据表明曲率法的时空适用性更广。阈值法、最优线性拟合法分别受梯度阈值和密度（或温度）梯度变化的制约,其计算的混合层深度相对较浅。各种算法的差异性随着季节跃层的增强而逐渐减小,且北半球的差异小于南半球。     

中、低纬太平洋ARGO测站Rossby内波垂直模态的数值计算

针对中、低纬太平洋ARGO测站的4个实际层结个例,计算了无背景流下准地转海洋Rossby内波的垂直模态。结果表明,海水层结垂直方向的不均匀和跃层的存在,使该垂直模态的波型发生了歪曲变形,致使其偏离了余弦波：跃层越强,这种变形也越大：层结最强的层次对应着最大的波动振幅,多极值的层结对应着多个极大振幅：该内波垂直结构函数的零点随模态序数依次递增,且其零点在海水层结较强的层次要比较弱的层次密集。     

TMI、AMSR-E全球海表温度与Argo近海表温度的比较

本文将TMI（Tropical Rainfall Measuring Mission （TRMM）Microwave Imager）和AMSR-E（Advanced Microwave Scanning Radiometer for the Earth Observing System）卫星观测的全球海表温度与Argo浮标观测的近海表温度进行了比较。并检验了影响海温变化的因素,包括风速、水汽含量、液态云和地理位置。结果显示,TMI、AMSR-E海表温度与Argo近海表温度均明显相关。在低风速时,TMI、AMSR-E海表温度整体比Argo近海表温度高。在低风速时,TMI比AMSR-E海表温度更接近Argo近海表温度,但TMI海表温度在高纬可能没有经过良好校正。温度差异显示,在低水汽含量时,TMI和AMSR-E海表温度显示出暖的差异,代表TMI和AMSR-E海表温度在高纬均没有经过良好校正。黑潮延伸区的海表温度变化要比海潮区明显。春季在黑潮延伸区,卫星观测的海表温度与Argo近海表温度差异较小。在低风速时,TMI和AMSR-E海表温度均经过了良好校正,而TMI比AMSR-E效果更好。     

The Global Distribution of Diapycnal Mixing and Mixing Coefficient Tensor in the Upper 2000m Ocean from Argo Observations

Diapycnal Mixing (DM) within the upper 2000m of the global ocean is calculated by a fine-scale parameterization using the multiyear-mean density gridded product that created by employing all the Argo float observations to date through the recently published equation of seawater TEOS-10. The geographic distribution of Argo-derived DM derived in this study is spatial-dependent and varies with latitude and depth. The magnitude and pattern of DM is favorably validated by comparisons with previous studies. Furthermore, the mixing coefficient tensor K is calculated and analyzed. Components of the tensor fitting for the geopotential coordinate models are also presented. It is found that the tensor components in horizontal direction, K_xx and K_yy, have similar magnitude and distribution pattern. In the vertical, K_zz is enhanced over regions with rough topography and strong wind (e.g., Westerly region), suggesting agreement with previous estimates. This work presents a scheme to estimate the DM and mixing coefficient tensor using Argo observations, and offers a useful Argo-based mixing product for the purpose of promoting the study and modeling of ocean circulation and other processes.     

利用Argo 浮标资料研究西北太平洋三维声速分布特征

利用西北太平洋海区2002～2009年的Argo浮标剖面温度、盐度资料构建成0.5°×0.5°水平分辨率的三维声速网格化资料,并据此分析该海区声速的空间分布及季节变化特征。研究表明：该海区10 m层等声速线分布的季节变化较为明显,春、冬季的等声速线几乎与纬线平行,黑潮流经区域等声速线呈现一定的弯曲。100 m层等声速线分布的季节变化较小：北赤道流区,等声速线从外海向近岸延伸;吕宋岛东南部沿海,等声速线向南弯曲;吕宋岛、台湾岛东部等声速线呈现偏北方向的弯曲;琉球群岛附近,等声速线朝北偏东方向弯曲。此外,研究海区存在深海声道,声道轴最深的区域主要在吕宋海峡和日本东南部海区,其中吕宋海峡处的声道轴有显著的季节变化特征。可见,利用Argo浮标资料可以初步得到西北太平洋声速的空间分布及其季节变化特征,随着Argo剖面资料的增多,对该海区的声速场认识将会愈加清晰。     

Meso-scale circulation at the intermediate-depth east of Mindanao observed by Argo profiling floats

The meso-scale circulation at the intermediate depth east of Mindanao is studied using Argo profiling floats observations. The trajectories and the parking-depth velocities of Argo floats show that the intermediate-depth circulation east of Mindanao contains significant meso-scale features that are highly variable both in space and in time. Both cyclonic and anticyclonic eddies at the intermediate depth (1000–2000 m) are indicated by the trajectories east of Mindanao. The mean tangential velocities of these eddies are about 10 cm/s at 2000 m and over 20 cm/s at 1000 m, which indicates that the geostrophic calculation may contain large errors due to the vigorous eddy activity at the reference levels. The analyses also suggest that these eddies might play an important role in mass and vorticity balances of the intermediate-depth circulation east of Mindanao.     

基于WebGIS的Argo数据共享服务系统

为了应对快速增长的 Argo 浮标数据,方便海洋科研人员利用 Argo 数据进行科学研究,使用WebGIS 技术设计了 Argo 数据共享服务系统架构,并根据科研用户需求实现了系统,结果表明:系统可以满足用户需求,具有较高的使用价值.     

热带西太平洋海域上层海洋热含量的CSEOF分析

基于月平均Argo温、盐度剖面、纬向风和Ni o3.4指数等资料,利用循环平稳经验正交函数(CSEOF)分解法、最大熵谱分析和相关分析等方法,研究了热带西太平洋海域上层(0—700m)海洋热含量的时空变化特征,并探讨了其年际变化的可能原因。结果表明,热带西太平洋海域上层海洋热含量距平场具有显著的东-西向反位相振荡,且这种振荡除了具有较明显的季节变化外,还存在着较强的准2a振荡。此外,热含量距平场还存在着负-正-负的三极式经向模态,该模态除了具有明显的季节变化外,还存在着显著的准4a振荡。进一步分析表明,热含量的准2a振荡与ENSO事件的发生有着非常密切的联系,并对赤道西太平洋纬向风异常有1—2月的滞后响应。