基于拉格朗日方法的南海自动剖面浮标轨迹模拟系统*

南海自动剖面浮标轨迹模拟系统包括高分辨率模式流场、拉格朗日追踪模型和垂向浮标运动参数化方案等三个核心部分。该系统可在南海范围内模拟两类自动剖面浮标: 传统自动剖面浮标(停滞深度为1000m, 最大下潜深度为2000m)和新型深海自动剖面浮标(停滞深度为距海底500m)。通过对南海现有的6个传统浮标的模拟, 该系统可以预测其100d内的漂流轨迹。通过与真实浮标轨迹数据的对比, 验证了该模拟系统的准确性。此外, 根据该系统, 我们初步探讨了深海自动剖面浮标阵列(时空分辨率为2°×2°×30d)在南海内区布放方案的可行性。该模拟系统的建立和完善将有助于对现有传统剖面浮标布放策略进行优化, 并对未来深海剖面浮标在南海的推广应用提供初步的理论依据。     

国际Argo计划执行现状剖析

国际Argo计划自2000年实施以来,世界上25个国家和团体已经在全球海洋中布放了5000余个Argo浮标,其中在海上正常工作的浮标已经超过3000个。这标志着全球Argo实时海洋观测网已经全面建成。文中将系统介绍国际Argo计划主要成员国在浮标布放、回收和Argo资料管理等方面所作出的贡献,以帮助读者对这21世纪的重大国际海洋观测计划有一较全面、深入的了解。     

中国Argo计划:Argo观测和资料应用进展

文章回顾了中国Argo计划已经取得的成果,主要包括中国Argo观测网的建设、浮标技术、数据质量控制及共享等。同时,讨论了Argo数据产品的开发以及数据在海洋、气象和大气研究中的应用,特别是在热带气旋（台风）、海洋环流、中尺度涡、湍流、海水热盐储量与输送、大洋水团,以及海洋、天气/气候业务化预测预报中的应用。最后,文章阐述了中国Argo海洋观测网长期维护和持续发展所面临的挑战和机遇,我们应在印度洋增加浮标数量,同时建立南海Argo区域海洋观测网,促进Argo资料在东南亚和印度洋沿岸国家的应用。     

全球海洋中Argo剖面浮标运行状况分析

A rgo剖面浮标是A rgo全球海洋实时观测网建设中的主要观测设备。自2001年国际A rgo计划组织实施以来,世界上已经有22个国家和团体在全球海洋中陆续布放了3 000多个A rgo剖面浮标,它们的寿命和运行状况一直是人们重视和关心的问题,因为这关系到何时能够实现国际A rgo计划的最终目标,更重要的是,涉及到浮标的性能、资料的可靠性。文中就这些问题进行了探讨,希望能有助于关注者对A rgo全球海洋实时观测网的建设及运行情况有一比较全面的了解。     

基于气候性温盐关系模型对Argo数据进行质量控制的研究

通过全球Argo计划的实施,我们获得了大量的温盐剖面数据。如果对浮标所在洋区的状况不是很了解,很难判断Argo浮标电导率传感器的工作状态及盐度数据的可靠性。为了避免错误的数据,必须对Argo进行有效的质量控制。国家海洋信息中心根据西北太平洋海区的南森站和CTD温盐数据,建立了高质量的气候学温盐数据集,对投放在西北太平洋海区的Argo浮标数据进行了相应的质量控制。结果表明,利用Argo浮标所在海区的气候学数据对Argo数据进行质控是比较有效的方法之一。     

基于机器学习的海洋浮标寿命及轨迹预测

Argo计划(Array or Real-time Geostrophic Oceanography)为海洋和大气研究提供了宝贵的资料,在短期天气预报和长期气候预测中起到了重要作用。为保证Argo观测阵列的正常运转,需要时刻关注浮标的运行状态,以保证研究区域内维持一定数量和密度的浮标。然而Argo浮标投放费用高昂,投放过早会导致资源浪费,投放过迟会导致信息资料的缺失。本文旨在使用机器学习的方法对Argo浮标在未来某个时间点的位置和状态(仍在工作或已经损坏)进行预测,以提前制定投放计划,保证在正确的位置和时间投放新的浮标,以减少资金投入。对于浮标寿命预测任务,除硬件特征之外添加额外的已存活时间作为动态属性,使用回归决策树、梯度提升回归树、随机森林和支持向量回归机等机器学习方法,对浮标剩余寿命进行预测。对于浮标轨迹预测任务,使用基于LSTM的Encoder-Decoder模型对未来多个时间步后的浮标的经/纬度信息进行预测,有效地避免了传统的LSTM模型循环单步预测所带来的误差累积问题。实验证明本文提出的浮标剩余寿命和位置预测模型都能达到较高的预测准确率,对指导浮标投放有重要意义。     

Importance of Reference Dataset Improvements for Argo Delayed-Mode Quality Control

For the Argo Project, monitoring the global upper ocean by a large number of profiling floats, maintaining the quality of salinity data is critical; the goal for measurement accuracy is ±0.01. Experiments using the method of Wong et al. (2003), the standard delayed-mode quality control (dQC) for the Project, show that its performance depends critically on the reference datasets used. This study concludes that the method is useful for Argo and has sufficient potential to achieve the goal for salinity measurement in the North Pacific, when suitable reference datasets are prepared. Considering the Wong et al. (2003) algorithms, we suggest that reference datasets with the following characteristics will be most suitable for Argo dQC: They should be basically derived from the most extensive datasets, such as the latest World Ocean Database; in regions with denser observations, datasets with carefully quality controls should be used; in the regions with subsurface temperature inversions, such as the subarctic North Pacific, the profiles used for the reference must extend below the deepest temperature maximum to prepare proper salinities for the deep layer reference.     

An estimation of the average lifetime of the latest model of APEX floats

Estimating the average lifetime of floats is very important for Argo, because the total cost of maintaining the monitoring network largely depends on float lifetime. However, the actual lifetime of floats used in Argo is currently unknown. An estimate can be made by examining past float survival, but this is complicated by floats still operating at sea and continuous improvements in float hardware. Because APEX (Autonomous Profiling Explorer) floats are the most widely deployed type of float in the world oceans, in this study we estimate the lifetime of the latest model of APEX powered by alkaline batteries. The expected lifetime is estimated with a statistical method that allows for floats that are still active and that failed because of a known and now fixed hardware fault that should not cause failure in the latest model of floats. As an example, we analyzed the APEX fleets managed by the Japan Agency for Marine-Earth Science and Technology (JAMSTEC), because we have access to a JAMSTEC database in which the causes of float failure have been carefully correlated to known hardware problems. Analysis of the JAMSTEC fleet (n = 571, as of 7 May 2008) indicated that the expected lifetime of the latest model of APEX is 134.6 (127.6–141.5, considering standard errors) cycles, equivalent to 3.7 years of 10-day cycles. We conclude that the annual deployment of 813 (773–859) APEX floats is needed to maintain the Argo observational network of 3000 floats. Floats with different hardware configurations (e.g., lithium batteries) or different mission programs (e.g., shallower profiling, deeper profiling every several cycles) may be expected to have an even longer lifetime.     

应用Argo资料分析西北太平洋冬、夏季水团

应用Argo剖面浮标观测的温、盐度资料,分析了西北太平洋海域冬、夏季的温、盐度分布、水团结构及其分布。首先采用T-S点聚图法分析了该海域水团分布的基本情况,由点聚分析结果可知,该海域至少存在6种以上水团;再用模糊聚类软化法对水团作进一步划分,分别计算了该海域6至11类水团的F和△F值,结果表明,冬、夏季的△F值都以划分为8类时为最大,这与大洋水团的稳定性是一致的,因此,该海域冬、夏季水团以划分为8类最佳,它们分别是北太平洋热带表层水、北太平洋次表层水、北太平洋中层水、北太平洋副热带模态水、北太平洋深层水和赤道表层水,以及南太平洋次表层水和南太平洋中层水。     

应用Argo资料分析西北太平洋冬、夏季水团

应用Argo剖面浮标观测的温、盐度资料，分析了西北太平洋海域冬、夏季的温、盐度分布、水团结构及其分布。首先采用T-S点聚图法分析了该海域水团分布的基本情况，由点聚分析结果可知，该海域至少存在6种以上水团；再用模糊聚类软化法对水团作进一步划分，分别计算了该海域6至11类水团的F和△F值，结果表明，冬、夏季的△F值都以划分为8类时为最大，这与大洋水团的稳定性是一致的，因此，该海域冬、夏季水团以划分为8类最佳，它们分别是北太平洋热带表层水、北太平洋次表层水、北太平洋中层水、北太平洋副热带模态水、北太平洋深层水和赤道表层水，以及南太平洋次表层水和南太平洋中层水。     

南海Argo浮标观测结果初步分析

对投放在南海内部的4个Argo浮标轨迹特征,温、盐结构及漂移速度进行诊断分析发现,Argo浮标剖面温、盐观测结果和气候态资料一致,同时上层海洋温、盐剖面资料表现出周期约2月的扰动信号,并且温跃层起伏与同期海表高度异常相关显著。和高度计资料计算而得的海表地转流相比,由Argo浮标漂移轨迹计算的表观流量值较小。在季节时间尺度上,Argo浮标表观流和Argo浮标所停留的中层参考面季节性海流相一致。     

Direct measurements of surface and mid-depth circulationin the Shikoku Basin by Argo profiling floats

The circulation in the Shikoku Basin plays a very important role in the pathway of the Kuroshio and the water exchange in the subtropical gyre in the North Pacific Ocean. The Argo profiling floats deployed in the Shikoku Basin are used to study the circulations and water masses in the basin. The trajectories and parking depth velocity fields derived from all Argo floats show an anticyclonic circulation at 2 000 m in the Shikoku Basin. There are inhanced eddy activities in the Shikoku Basin, which have large influence on the Shikoku Basin circulation patterns. The characteristics of temperature-salinity curves indicate that there are North Pacific Ocean tropical water (NPTW), North Pacific Ocean subtropical mode water (NPSTMW) and North Pacific Ocean intermediate water (NPIW) in the Shikoku Basin. The NPTW is only exists south of 32°N. In the middle part of the basin, which is 28°~31°N,133°~135°E, there is a confluence region. Water masses coming from the Kuroshio mix with the water in the Shikoku Basin.     

全球Argo实时海洋观测网全面建成

文中较详尽地介绍了全球Argo实时海洋观测网建设现状,以及Argo资料在相关领域应用研究中所取得的成果,揭示了Argo资料广阔的应用研究前景。但要实现国际Argo计划的最终目标,尚需各参与国不遗余力。     

Several Important Issues in Salinity Quality Control of Argo Float

Several floats that deployed by different countries during the last years over the global ocean, which served as a contribution to the Array for real time geostrophic oceanography (Argo), are studied in this paper with respect to their uniqueness in the Delayed Mode Quality Control (DMQC) process. Of these floats, issues were found in the temperature-salinity relationships during the DMQC, which would easily be misinterpreted or overlooked. This study lists and summarizes the possible situations of the floats that might confront in their observation life, together with the reasonable explanations. The authors present some thoughts on evaluating the performance of the conductivity sensors and calibrating the float salinity data.     

Significant salinity increase in subsurface waters of the South China Sea during 2016–2017

The South China Sea(SCS) is the largest semi-enclosed marginal sea in the North Pacific. Salinity changes in the SCS play an important role in regional and global ocean circulation and the hydrological cycle. However, there are few studies on salinity changes over the SCS due to lack of high-quality and long-term observations. In the past decade, the deployment of floats from the Argo program in the SCS and their accumulated temperature and salinity profiles have made it possible for us to examine salinity changes over the entire basin. In this study,salinity changes were investigated with Argo and underwater glider temperature and salinity observations and gridded temperature–salinity objective analyses(UK Met Office Hadley Centre EN4.2.1 objective analysis and China Argo Real-time Data Center BOA_Argo). The results indicated that the subsurface water in the entire SCS became significantly saltier during 2016–2017. The most significant salinity increase was found during 2016 in the northeastern SCS. The subsurface water in the northeastern SCS exhibited a salinity maximum above 35, which was recorded by three Argo floats during 2015–2016. Such high salinity water was rarely observed and reported prior to the Argo era. Average salinity of 2016–2017 along the 25.5σ_θ–23.5σ_θ isopycnal surfaces in the whole SCS is 0.014-0.130 higher than the climatology. Increases in subsurface salinity started from the northeastern SCS and extended southwestward gradually. Moreover, the subsurface salinity changes, especially in the northern SCS,exhibited a semiannual lead behind the subsurface Luzon Strait transport. Further analysis indicated that the predominance of advection, driven by subsurface Luzon Strait transport, led to salinification along the western boundary of the SCS. In other parts of the SCS, negative wind stress curl trends tended to preserve the high salinity characteristics of the subsurface water.     

利用Argo浮标资料分析横跨吕宋海峡20.5°N断面的水文特征

基于Argo浮标资料,分析了一条横跨南海北部、吕宋海峡和西太平洋（20.5°N,114°~130°E）断面的海水温度、盐度的分布特征.其结果表明：Argo剖面资料得到的2008年秋季20.5°N断面海水的温度、盐度分布态势与气候态秋季的分布基本一致,主要差异在于南海次表层水的盐度极大值和西太平洋次表层水的盐度极大值,2008年秋季二者均比气候态秋季的低0.1左右.通过动力计算（选取1 200 m为速度零面）表明：Argo浮标剖面资料与融合的卫星高度计产品得到的20.5°N,117.5°~124.5°E断面的表层地转流北分量的分布比较吻合;吕宋海峡中部（20°~21°N）的黑潮主轴大致位于121.5°E附近,其东边界可达123°E,而西边界仅限于121°E以西,其可能原因是该季节黑潮的左侧存在着一个气旋式环流,阻碍了黑潮西进;黑潮在20.5°N断面的体积流量为27×106m3/s左右,最大流速约为55 cm/s,出现在70 m层左右.     

Argo资料协同管理方法研究

Argo资料已成为当前海洋和大气科学领域基础研究的重要数据来源。但由于其剖面元数据与观测数据混合存放的特点,现有的共享平台无法实现浮标漂移轨迹与剖面图的实时绘制。因此本文提出一种结构化与半结构化并存的Argo资料协同管理方法,通过分析Argo资料结构组成与特点,将结构化数据与半结构化数据分离提取;然后利用关系型数据库对半结构化类型属性的扩展支持,建立剖面元数据与观测数据间的关联关系;并利用分表存储,降低数据量快速增长对单数据表带来的存储压力。最后通过对近20 a的全球Argo资料解析建库结果进行分析,证明该方法具有良好的可扩展性和高效的轨迹数据获取效率,能够支持浮标漂移轨迹和剖面图的实时绘制。同时,该方法也可为特征类似的剖面观测数据管理提供技术参考。     

Argo时代东南印度洋上层盐度变化对海平面年代际演变的影响

In the past nearly two decades, the Argo Program has created an unprecedented global observing array with continuous in situ salinity observations, providing opportunities to extend our knowledge on the variability and effects of ocean salinity. In this study, we utilize the Argo data during 2004–2017, together with the satellite observations and a newly released version of ECCO ocean reanalysis, to explore the decadal salinity variability in the Southeast Indian Ocean(SEIO) and its impacts on the regional sea level changes. Both the observations and ECCO reanalysis show that during the Argo era, sea level in the SEIO and the tropical western Pacific experienced a rapid rise in 2005–2013 and a subsequent decline in 2013–2017. Such a decadal phase reversal in sea level could be explained, to a large extent, by the steric sea level variability in the upper 300 m. Argo data further show that, in the SEIO, both the temperature and salinity changes have significant positive contributions to the decadal sea level variations. This is different from much of the Indo-Pacific region, where the halosteric component often has minor or negative contributions to the regional sea level pattern on decadal timescale. The salinity budget analyses based on the ECCO reanalysis indicate that the decadal salinity change in the upper 300 m of SEIO is mainly caused by the horizontal ocean advection. More detailed decomposition reveals that in the SEIO, there exists a strong meridional salinity front between the tropical low-salinity and subtropical high salinity waters. The meridional component of decadal circulation changes will induce strong cross-front salinity exchange and thus the significant regional salinity variations.     

参考数据集对Argo剖面浮标盐度观测资料校正的影响

国际Argo计划采用新颖的Argo剖面浮标来监测全球大洋中上层的变化,对浮标盐度观测资料进行质量控制是非常重要的。本文采用历史水文观测资料集得到的温-盐度(-S)关系,并利用Wong等人开发的WJO延时模式盐度校正方法,对电导率传感器出现漂移、偏移等故障的Argo剖面浮标盐度资料进行校正。对影响校正结果的历史水文资料集(或参考数据集)的选取进行了初步研究,并在不同的海区进行试验。结果表明,选取合适的参考数据集可以提高盐度校正的精度。