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。     

船载CTD仪与自动剖面浮标观测资料质量初探

海洋科学的发展离不开精确的数据,然而各种海洋观测仪器在复杂的海洋环境中作业难免产生测量误差,导致观测数据需要进行实时(或延时)质量控制。中国Argo计划在搭载多个航次布放剖面浮标的同时,对航次中获取的船载CTD(conductivity, temperature, and depth)仪观测资料、自动剖面浮标观测资料以及实验室高精度盐度计测量数据进行了实时比对。分析结果显示,利用实验室高精度盐度计对现场观测数据尤其是船载CTD仪观测资料进行质量控制,于温盐数据(特别是深层)的实时/延时校正非常重要;如某航次未经标定的船载CTD仪所测1000dbar以深范围内海水盐度,与实验室高精度盐度计的差值达到±0.1左右,远远落后于国内海洋调查规范对盐度准确度±0.02的一级测量要求,该具体实例更加突显了船载CTD仪在航次前后送往权威部门进行检测的必要性和重要性,从而确保每个航次获取的CTD资料的质量。建议有条件的情况下,在进行深海大洋船载CTD仪观测时要进行现场实验室高精度盐度计的质量控制工作及比对试验,以提高我国深海大洋观测数据的质量。     

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。     

Argo剖面浮标压力测量误差问题剖析

部分配置Druck压力传感器的APEX型Argo剖面浮标所观测的压力值存在明显偏差.尽管压力传感器故障的原因已经查明,但目前还没有寻找到一种比较理想的解决方法.文章扼要介绍了压力传感器故障产生的原因.探讨了压力误差校正的办法,以及目前可供选择的措施等.供国内浮标技术研制人员和Argo、CTD用户参考.     

南海Argo区域海洋观测网设计与构建

国际 Argo 计划由“核心 Argo”向“全球 Argo”的拓展和国产北斗剖面浮标的成功研制,为西北太平洋重要边缘海———南海 Argo 区域海洋观测网的建立提供了契机。 介绍了南海 Argo 区域海洋观测网的总体设计,以及利用相关调查航次在南海布放了首批北斗剖面浮标,初步建立了由我国主导建设的“南海 Argo 区域海洋观测网”。 此外,利用调查航次获得的船载 CTD 和实验室盐度计分析结果以及周边海域历史资料验证了国产北斗剖面浮标观测数据的可靠性。     

Argo、GTSPP与WOD数据集及其应用中需注意的若干问题

数据集整体的时空覆盖率制约了海洋科学研究的时空尺度,而海洋仪器的性能和观测方式直接决定了海洋数据的可靠性。以观测仪器作为主要衡量指标,结合数据集的时空覆盖率,对以温度和盐度为数据集主体的自持式拉格朗日环流剖面观测(Argo)数据集、全球温盐剖面数据集(GTSPP)、世界海洋数据集(WOD)进行分析和比对,确定了三者关系:Argo和GTSPP都是WOD的数据源,而GTSPP中包含了Argo实时数据的80%。在此基础上研究确定了目前温盐数据的主要观测仪器为Argo浮标、XBT和CTD,并对这三种仪器的误差来源和量级进行详细分析:由于全球自动观测与传输需求,Argo数据存在电子信号不稳定导致的随机误差,而且在高纬度强温跃层地带出现较强的虚假盐度尖峰,再是自由漂移的特性导致1%~2%盐度剖面漂移超过0.02 PSS-78;由于下降方程的不断演变,全球半数XBT数据提供者并未提供仪器型号,导致数据整体的可靠性下降;由于CTD基本采用船载观测,因此成本高、共享数据少且多集中近海。因此在对全球温盐数据进行应用时,应综合考虑观测仪器的可靠性和时空覆盖率,有效实现对资料本身误差和真实海洋现象的甄别。     

基于Argo浮标的西太平洋SMAP卫星海表面盐度数据质量评估

以西太平洋为研究区域,利用Argo浮标表层盐度观测值(5 m)对SMAP卫星获得的2016年海表面盐度反演质量进行了评估。首先将西太平洋2016-01—12期间的每日和每月SMAP卫星SSS数据与Argo实测SSS数据进行匹配,然后利用最小二乘线性回归法对其进行相关性分析,并对误差的分布特征进行了研究。结果表明:SMAP SSS与Argo SSS之间具有极显著的正相关关系;每日Argo浮标数据(WMO ID:2901520,WMO ID:2901548)和SMAP SSS的变化趋势基本一致,前者均方根误差(RMSE)、偏差(Bias)和相关系数(r)分别为0.43, 0.34和0.71,后者RMSE,Bias和r分别为0.41,0.26和0.69;研究区域内全年RMSE值处于0～0.35,在西太平洋南部海域偏差较大,这可能是由于该海域小岛众多,缺少Argo实测数据,导致其网格化的盐度存在较大误差。除夏季外,研究区域的大部分海域,RMSE都小于0.25。在海表盐度较低的海域,两者的对比结果误差较大,该现象在夏秋两季尤为显著。     

热带太平洋海域的Argo浮标计划

1　国际 Argo计划国际 Argo计划提出施放 3 0 0 0个剖面浮标组成一个海洋观测网 ,以便实时观测全球海洋上层的温、盐度结构。每个浮标之间距离约为 3 0 0 km。浮标将被设置在 2 0 0 0 m水深附近漂移 ,且每隔 1 0天上浮一次 ,把测量的温、盐度剖面资料和位置信息通过卫星传送到设在陆上的接收站。然后 ,浮标再次下沉到预定的深度进行新一轮循环。浮标的使用寿命为 4年。这些浮标的工作原理与大气无线电探测器相似。2　实施 Argo计划的意义利用 Argo浮标进行全球次表层观测 ,并结合覆盖全球海洋表面的卫星观测 ,将会提高业务预报和科学研究…     

COPEX和HM2000与APEX型剖面浮标比测试验及资料质量评价

利用船载CTD仪、国外剖面浮标(APEX)和实验室盐度计等标准仪器设备,在西北太平洋海域对2种型号国产剖面浮标(COPEX和HM2000)进行了现场比测试验,并对观测资料质量进行了定性和定量分析与评价.结果表明:(1) COPEX和HM2000型剖面浮标观测的盐度资料均能达到国际Argo计划提出的±0.01的精度要求;(2)HM2000的最小观测深度离海面1 m以内,最大观测深度基本稳定在2 000 m左右,并能保持在1000 m深度附近漂移,而COPEX的最小观测深度在8～9 m之间,最大观测深度则在1 800～1 900 m之间波动,且漂移深度都在600～800 m之间;(3)COPEX和HM2000都获得了70条以上有效观测剖面.总体而言,两种国产剖面浮标观测的温、盐度资料都是可信、可靠的.但试验中暴露的一些问题和不足仍有待不断改进和完善.     

基于Argo浮标的热带印度洋混合层深度季节变化研究

根据2004-2005年热带印度洋(30°S以北)的Argo浮标(自持式海洋剖面观测浮标)温度-盐度剖面观测资料,采用位势密度判据(Δσθ=0.03 kg/m3),针对每个Argo浮标的温度-盐度观测剖面确定了海洋混合层的深度,然后采用Krig插值方法构建了3°×3°空间分辨率的月平均网格化混合层深度产品。通过与已有气候平均混合层深度资料的比较表明了该产品的合理性,在此基础上进一步对热带印度洋海盆尺度的混合层深度空间特征和季节变化规律进行了讨论。研究结果表明,Argo浮标资料可用于热带印度洋混合层变化的研究,为进一步研究热带印度洋海-气相互作用提供了基础资料。     

Stability of Temperature and Conductivity Sensors of Argo Profiling Floats

After recalibration of the temperature and conductivity sensors of three Argo profiling floats recovered after operations for four to nine months, the results indicate that the floats basically showed no significant drift, either in temperature or salinity, and adequately fulfilled the accuracy requirement of the Argo project (0.005°C for temperature and 0.01 psu for salinity). Only the third float showed a significant offset in salinity of about −0.02 psu, as expected from comparison between the float data and the shipboard conductivity-temperature-depth data. This offset was caused by the operational error of the PROVOR-type float, in which the surface water was pumped immediately after the launch, fouling the conductivity sensor cell. This revised version was published online in July 2006 with corrections to the Cover Date.     

Long-term Sensor Drift Found in Recovered Argo Profiling Floats

We recovered three Argo profiling floats after 2 to 2.5 years of operation, and recalibrated their temperature, conductivity, and pressure sensors. The results demonstrate that these floats exhibited a significant drift in salinity of −0.0074 to −0.0125, primarily due to the conductivity sensor drift. Combined with the recalibration result for another previously recovered float, the indication is that the negative salinity drift increases nearly in proportion to the operating period of floats. The increasing rate is −0.0041 (±0.0015) year⁻¹, which yields a salinity drift of −0.016 (±0.006) for the expected float lifetime of four years. The present result suggests that reducing the float surfacing time would improve the accuracy of the salinity measurements.     

HM2000型剖面浮标的主要特征及其应用

HM2000 型剖面浮标是一种新颖的国产海洋观测仪器,可以长期在海上自由漂移并连续测量 0~2 000 m 水深内的海水温、盐度剖面数据,已被国际 Argo 组织用于全球 Argo 实时海洋观测网建设和维护。 详细介绍了该型浮标的工作原理、结构、功能和主要技术指标等,并与 APEX 型浮标进行了比较分析, 表明了 HM2000 型剖面浮标具有明显的功能优势,且测量的温、盐度质量是有足够保证的,完全可以替代国外浮标用来主导建设我国的 Argo 区域海洋观测网。     

Coastal upwelling events along the southern coast of Java during the 2008 positive Indian Ocean Dipole

To understand the coastal upwelling system along the southern coast of Java, we investigated ocean temperature and salinity obtained from an Argo float. In 2008, a positive Indian Ocean Dipole (IOD) event began to develop in early May and anomalously cool SST developed around south of Java from May to September. During the peak of the IOD, an Argo float successfully observed vertical structure of temperature and salinity within 90 km from Java. The float observed two intraseasonal-scale temperature cooling events in July and August, with significant upward movements of the thermocline more than 90 m. Concurrent with the signals, anomalous southeasterly alongshore winds, lowering of local SST and sea level, and upward expansion of high-salinity water were also observed. During the event in August, vertical velocity estimated by the anomalous wind stress agreed well with the observations. These results indicate that the Argo float observed the coastal upwelling, which was enhanced by the 2008 positive IOD, along the southern coast of Java.     

An improved calibration method for the drift of the conductivity sensor on autonomous CTD profiling floats by θ–S climatology

An improved method to estimate the time-varying drift of measured conductivity from autonomous CTD profiling floats has been developed. This procedure extends previous methods developed by Wong, Johnson and Owens [2003. Delayed-mode calibration of autonomous CTD profiling float salinity data by θ–S climatology. Journal of Atmospheric and Oceanic Technology, 20, 308–318] and Böhme and Send [2005. Objective analyses of hydrographic data for referencing profiling float salinities in highly variable environments. Deep-Sea Research Part II, 52, 651–664]. It uses climatological salinity interpolated to the float positions and observed θ surfaces and chooses 10 ‘best’ levels that are within well-mixed mode waters or deep homogeneous water masses. A piece-wise linear fit is used to estimate the temporally varying multiplicative adjustment to the float potential conductivities. An objective, statistical method is used to choose the breakpoints in the float time series where there are multiple drift trends. In the previous methods these breakpoints were chosen subjectively by manually splitting the time series into separate segments over which the fits were made. Our statistical procedure reduces the subjectivity by providing an automated way for doing the piece-wise linear fit. Uncertainties in this predicted adjustment are estimated using a Monte-Carlo simulation. Examples of this new procedure as applied to two Argo floats are presented.     

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.     

Improvement of short-termforecasting in the northwest Pacific through assimilating Argo data into initial fields

The impact of assimilating Argo data into an initial field on the short-term forecasting accuracy of temper- ature and salinity is quantitatively estimated by using a forecasting system of the western North Pacific, on the base of the Princeton ocean model with a generalized coordinate system （POMgcs）. This system uses a sequential multigrid three-dimensional variational （3DVAR） analysis scheme to assimilate observation da- ta. Two numerical experiments were conducted with and without Argo temperature and salinity profile data besides conventional temperature and salinity profile data and sea surface height anomaly （SSHa） and sea surface temperature （SST） in the process of assimilating data into the initial fields. The forecast errors are estimated by using independent temperature and salinity profiles during the forecasting period, including the vertical distributions of the horizontally averaged root mean square errors （H-RMSEs） and the horizontal distributions of the vertically averaged mean errors （MEs） and the temporal variation of spatially averaged root mean square errors （S-RMSEs）. Comparison between the two experiments shows that the assimila- tion of Argo data significantly improves the forecast accuracy, with 24% reduction of H-RMSE maximum for the temperature, and the salinity forecasts are improved more obviously, averagely dropping of 50% for H-RMSEs in depth shallower than 300 m. Such improvement is caused by relatively uniform sampling of both temperature and salinity from the Argo drifters in time and space.     

Estimating the Isoneutral Slope and Tracer Diffusion from Argo Observations

Tracer diffusion is an important issue in ocean modeling, and isoneutral slope is key to parameterization of tracer diffusion in the ocean interior when using the isoneutral/dianeutral scheme. In this study, multiyear mean temperature, salinity, and pressure-gridded products that cover the upper 2000 m of the global ocean are created by employing all the Argo float observations up to date. Comparison with WOA09 data indicates that Argo temperature and salinity depict the reality well. Based on the reliable Argo gridded products, the in situ density fields are calculated. Then isoneutral slope in the ocean interior deep to 2000 m was determined by using the Argo-derived density. Taking advantage of isoneutral slope, therefore, diffusion tensor as well as isoneutral tracer diffusion flux can be obtained in combination of the tracer diffusion coefficient. The aim of this work is to propose a procedure to estimate the isoneutral slope using Argo observations and to offer new isoneutral slope-gridded products in the hope of further facilitating the parameterization of isoneutral tracer diffusion in geopotential (Z-coordinate) ocean models.     

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.     

南太平洋南极中层水的中尺度特征

The Argo float observations are used to investigate the mesoscale characteristics of the Antarctic Intermediate Water(AAIW) in the South Pacific in this paper. It is shown that a subsurface mesoscale phenomenon is probably touched by an Argo float during the float's ascent-descent cycles and is identified by the horizontal salinity gradient between the vertical temperature-salinity profiles. This shows that the transportation of the AAIW may be accompanied with the rich mesoscale characteristics. To derive the spatial length, time, and propagation characteristics of the mesoscale variability of the AAIW, the gridded temperature-salinity dataset ENACT/ENSEMBLE Version 3 constructed on the in-situ observations in the South Pacific since 2005 is used. The Empirical Mode Decomposition method is applied to decompose the isopycnal-averaged salinity anomaly from26.8 σθ–27.4 σθ, where the AAIW mainly resides, into the basin scale and two mesoscale modes. It is found that the first mesoscale mode with the length scale on the order of 1 000 km explains nearly 50% variability of the mesoscale characteristics of the AAIW. Its westward-propagation speeds are slower in the mid-latitude(around 1cm/s) and faster in the low latitude(around 6 cm/s), but with an increasing in the latitude band on 25°–30°S. The second mesoscale mode is of the length scale on the order of 500 km, explaining about 30% variability of the mesoscale characteristics of the AAIW. Its westward-propagation speed keeps nearly unchanged(around 0.5cm/s). These results presented the stronger turbulent motion of the subsurface ocean on the spatial scale, and also described the significant role of Argo program for the better understanding of the deep ocean.