A global barotropic ocean model driven by synoptic atmospheric disturbances for detecting seafloor vertical displacements from in situ ocean bottom pressure measurements

A global barotropic ocean model forced by atmospheric disturbances is developed for the detection of seafloor vertical displacements from in situ ocean bottom pressure (OBP) data. The model accuracy is validated by deep-sea OBP data at more than 100 sites obtained over the global ocean. Parameters and boundary conditions including the horizontal resolution incorporated in the ocean model are tested in order to accurately simulate the nontidal (>2 days) OBP variations. The horizontal resolution is found to the factor that most significantly affects the simulated result. The finer the horizontal resolution applied, the smaller the model variability is. The model accuracy is highest when the horizontal resolution is 1/12°, but deteriorates when the horizontal resolution is finer than 1/12°. This may indicate a failure of the energy dissipation parameterization in the barotropic ocean model. Using the developed 1/12° model, the root-mean-square of the observed nontidal OBP component can be reduced by 18 % as an average of all the OBP data used. It is found that the 1/12° model is useful for the detection of a slow seafloor vertical displacement of centimeters related to the 2011 Tohoku-Oki earthquake from in situ OBP records near the hypocenter of the earthquake.     

涡分辨率的南海区域海洋环流模式构建技术研究

针对复杂海洋中尺度现象模拟仿真的技术难题,利用区域海洋环流模式ROMS,通过模式的网格构建、地形处理以及模式的初始场和强迫场处理技术,构建出一套涡分辨率南海区域海洋环流模式。通过模式模拟结果与卫星遥感实测资料等对比,发现该模式能够较好地模拟出南海涡旋及其引发的海温异常等海洋中小尺度过程,说明该模式可作为研究复杂海洋中尺度现象影响海军武器装备效能的环境数值仿真手段。     

WEB GIS技术在海洋监测信息集成中的应用研究

利用WEBGIS技术，针对海洋监测数据信息的多源异构、多时空和多尺度的特性，进行空间数据格式集成方法的分析和研究。根据相关的海洋监测预报业务的专业需求，充分利用现有的海洋监测资料，进行数据分析和挖掘、系统规划和研究，建立相关数据库模型Geodatabase，并采用ARCSDE和ARCIMS工具软件来构建海洋监测信息WEBGIS平台。     

海浪的动态视觉仿真

对海浪液面位移模型的建模方法进行了研究,利用Phillips谱分析方法,建立了受风场和海底地形等因素影响下的海浪波面位移模型,提出了2D FFT的优化方法,提高了计算机的执行效率,解决了海浪数字仿真中的动态数据生成问题,并最终实现了不同分辨率海浪模块的拼接和渲染。     

A reduced-dynamics variational approach for the assimilation of altimeter data into eddy-resolving ocean models

A new method of assimilating sea surface height (SSH) data into ocean models is introduced and tested. Many features observable by satellite altimetry are approximated by the first baroclinic mode over much of the ocean, especially in the lower (but non-equatorial) and mid latitude regions. Based on this dynamical trait, a reduced-dynamics adjoint technique is developed and implemented with a three-dimensional model using vertical normal mode decomposition. To reduce the complexity of the variational data assimilation problem, the adjoint equations are based on a one-active-layer reduced-gravity model, which approximates the first baroclinic mode, as opposed to the full three-dimensional model equations. The reduced dimensionality of the adjoint model leads to lower computational cost than a traditional variational data assimilation algorithm. The technique is applicable to regions of the ocean where the SSH variability is dominated by the first baroclinic mode. The adjustment of the first baroclinic mode model fields dynamically transfers the SSH information to the deep ocean layers. The technique is developed in a modular fashion that can be readily implemented with many three-dimensional ocean models. For this study, the method is tested with the Navy Coastal Ocean Model (NCOM) configured to simulate the Gulf of Mexico.     

一种三维海洋地理空间模型构建与实验

通过Multipatch格式扩充CDC数据,构建三维实体模型,实现了从二维的CDC格式数字海图和海洋测量数据快速构建三维空间的方法。该三维模型可以作为海洋地理环境的基础空间框架,对于扩展数字海图应用、完善数字海洋建设具有一定的探索价值。     

星载海洋高度计海面回波信号的统计特性分析

论文首先从理论上简要阐述了星载海洋高度计海面回波的散射机理和回波信号后向散射模型;其后,利用Matlab数学工具,通过对我国＂神州四号＂飞船下传的大量高度计观测数据进行IQ采样数据提取、数据处理以及统计分析,进行了星载海洋高度计海面回波信号的统计特性分析与研究.     

国家气候中心全球海洋资料四维同化系统在热带太平洋的结果初步分析

介绍了国家气候中心(NCC)“全球海洋资料四维同化系统”(简称NCC-GODAS).该系统包含观测资料预处理系统、插值分析系统和所应用的动力模式.插值分析系统采用四维同化技术方案,在时间上设置一个4周的窗口,将此窗口之内的观测资料以一定的权重插入插值分析系统,在空间上采用三维变分方案.海洋动力模式为“九五”期间LASG研制的L30T63OGCM 1 0版本.文中考察了该系统从1982年到2003年3月在热带太平洋的部分同化分析结果,并与NCEP的再分析资料和EMC/NCEP的太平洋区域海洋资料同化系统的结果进行了对比分析.结果显示,该系统的同化结果(如SST,SSTA,Nino指数,次表层海温变化等)与NCEP的同期同化结果具有很好的一致性.同时,该系统得出的海洋同化资料气候场与海洋模式气候场相比,有显著的改进.表明该系统具有较好的同化能力,其同化结果可为海-气耦合模式进行季节和跨季节的气候预测业务提供可信的海洋初始场资料,同时还可以为相关研究提供海洋分析场.     

一种基于表面状态参数的三维海洋动力学模型数值求解方法*

大面积的海洋表面实时运动状态可以通过遥感技术获取, 而海洋内部的运动状态只能进行定点观测, 无法达到大面积的实时监测。基于海洋动力学基本原理, 在正压浅海大陆架模式下, 在三维空间构建海洋表面与内部运动状态的关系模型; 利用遥感探测的海洋表面流速与流向数据, 结合海域的浪高、风速状态参数, 运用有限差分法反演出深层海流的流速与流向信息。反演结果符合海洋动力学规律, 反映出了深层流整体分布状态, 扩展了雷达遥感应用范围。     

Modelling of the ocean level surface seasonal variability in the tropical Atlantic

This paper reports on the ocean level seasonal variability in the tropical Atlantic calculated within the framework of a non-linear baroclinic model allowing for the bottom topography and the coastline when the real distributions of wind stress, temperature, and salinity in the upper ocean are preset. The results of the numerical experiment are compared with altimeter data and computations of the dynamic topography of the ocean surface.Translated by Mikhail M. Trufanov.     

A singular evolutive extended Kalman filter to assimilate ocean color data in a coupled physical–biochemical model of the North Atlantic ocean

Within the European DIADEM project, a data assimilation system for coupled ocean circulation and marine ecosystem models has been implemented for the North Atlantic and the Nordic Seas. One objective of this project is to demonstrate the relevance of sophisticated methods to assimilate satellite data such as altimetry, surface temperature and ocean color, into realistic ocean models. In this paper, the singular evolutive extended Kalman (SEEK) filter, which is an advanced assimilation scheme where three-dimensional, multivariate error statistics are taken into account, is used to assimilate ocean color data into the biological component of the coupled system. The marine ecosystem model, derived from the FDM model [J. Mar. Res. 48 (1990) 591], includes 11 nitrogen and carbon compartments and describes the synthesis of organic matter in the euphotic zone, its consumption by animals of upper trophic levels, and the recycling of detritic material in the deep ocean. The circulation model coupled to the ecosystem is the Miami isopycnic coordinate ocean model (MICOM), which covers the Atlantic and the Arctic Oceans with an enhanced resolution in the North Atlantic basin. The model is forced with realistic ECMWF ocean/atmosphere fluxes, which permits to resolve the seasonal variability of the circulation and mixed layer properties. In the twin assimimation experiments reported here, the predictions of the coupled model are corrected every 10 days using pseudo-measurements of surface phytoplankton as a substitute to chlorophyll concentrations measured from space. The diagnostics of these experiments indicate that the assimilation is feasible with a reduced-order Kalman filter of small rank (of order 10) as long as a sufficiently good identification of the error structure is available. In addition, the control of non-observed quantities such as zooplankton and nitrate concentrations is made possible, owing to the multivariate nature of the analysis scheme. However, a too severe truncation of the error sub-space downgrades the propagation of surface information below the mixed layer. The reduction of the actual state vector to the surface layers is therefore investigated to improve the estimation process in the perspective of sea-viewing wide field-of-view sensor (SeaWiFS) data assimilation experiments.     

基于传输函数标准形态模式的海洋涡旋温盐和压力异常三维结构交互可视化

随着海洋观测技术和海洋数值模拟技术的发展,海洋学家已经能够获取海量的时空连续的海洋数据。但目前人们对于三维海洋大数据缺乏高效的交互可视探索手段,因此,利用科学可视化技术展现海洋数据,以及更深一步地挖掘时空数据规律是建立对海洋大数据从感知到认知的关键技术桥梁。本文利用体绘制技术从传输函数特征点数量、特征颜色映射以及表现特征的线型三个方面,设计针对海洋温盐异常数据以及压力异常数据的传输函数标准形态模式,能够直观有效地表现海洋涡旋温盐和压力异常三维结构。本文优化了球面光线投射算法,在保证绘制质量的情况下,实现了大规模海洋三维涡旋实时交互展示;同时实现了三维数据的内部漫游功能,能够更加清晰且完整地表现局部海洋涡旋的三维结构。通过可视分析发现,处于黑潮延伸体附近的气旋涡(CE, Cyclone Eddy)温度异常呈“上正下负”的三维结构;由于涡旋引起的海水升降运动,部分反气旋涡(AE, Anticyclone Eddy)盐度异常呈现出“上正下负”的三维结构;相较于温盐异常结构,海洋涡旋压力异常结构轮廓更为清晰且不会出现上下不一致的情况。     

Problems of variational assimilation of observational data for ocean general circulation models and methods for their solution

Problems of the variational assimilation of satellite observational data on the temperature and level of the ocean surface, as well as data on the temperature and salinity of the ocean from the ARGO system of buoys, are formulated with the use of the global three-dimensional model of ocean thermodynamics developed at the Institute of Numerical Mathematics, Russian Academy of Sciences (INM RAS). Algorithms for numerical solutions of the problems are developed and substantiated, and data assimilation blocks are developed and incorporated into the global three-dimensional model. Numerical experiments are performed with the use of the Indian Ocean or the entire World Ocean as examples. These numerical experiments support the theoretical conclusions and demonstrate that the use of a model with an assimilation block of operational observational data is expedient.     

海洋背景磁场模拟计算及东中国海表层磁场分布

海洋中海水的运动会切割地球磁场,生成微弱的电场,进而在海洋内部和周围空间激发感生电磁场,即约为地球磁场一万至十万分之一的微弱海洋背景磁场.文中针对海洋背景磁场的生成机制及近几十年来对海洋背景磁场的理论研究,结合世界磁场模型WMM2005,模拟计算了三种典型的海洋运动--海浪、海流、内波所产生的感应磁场,建立了海洋背景磁场的数值计算模型,并在此基础上设计开发了海洋背景磁场的模拟计算软件.最后用卫星多传感器资料驱动普林斯顿海洋动力学模式,得到的东中国海2005年海洋表层环流数据,模拟计算了东中国海海表层磁场分布,对其磁场变化与分布规律作了简要分析.     

Validation and Improvement of Satellite-Derived Surface Solar Radiation over the Northwestern Pacific Ocean

The purpose of this study is to validate and improve satellite-derived downward surface shortwave radiation (DSSR) over the northwestern Pacific Ocean using abundant in situ data. The DSSR derivation model used here assumes that the reduction of solar radiation by clouds is proportional to the product of satellite-measured albedo and a cloud attenuation coefficient. DSSR is calculated from Geostationary Meteorological Satellite-5/Visible Infrared Spin-Scan Radiometer data in 0.05° × 0.05° grids. The authors first compare the satellite DSSR derived with a cloud attenuation coefficient table determined in past research with in situ values. Although the hourly satellite DSSR agrees well with land in situ values in Japan, it has a bias of +13∼+34 W/m² over the ocean and the bias is especially large in the low latitudes. The authors then improve the coefficient table using the ocean in situ data. Usage of the new table successfully reduces the bias of the satellite DSSR over the ocean. The cloud attenuation coefficient for low-albedo cases over the ocean needs to be larger in the low latitudes than past research has indicated. Daily and hourly DSSR can be evaluated from the satellite data with RMS errors of 11–14% and 30–33%, respectively, over a wide region of the ocean by this model. It is also shown that the cloud attenuation coefficient over land needs to be smaller than over the ocean because the effect of the radiation reflected by the land surface cannot be ignored.     

深度学习在海洋信息探测中的应用:现状与展望

深度学习可以通过深度神经网络,使机器理解学习数据,从而提高数据分类效果和预测结果的准确性,因此在海洋信息探测中应用越来越受到重视.作者基于深度学习的基本原理,阐述了海洋上常用的深度学习神经网络模型,并结合海洋信息探测要素,对温度、盐度、风场、有效波高和海冰等进行了海洋环境信息因子的预测分析;同时,对船舶、溢油和涡旋等进...     

An ocean data assimilation system and reanalysis of the World Ocean hydrophysical fields

A new version of the ocean data assimilation system (ODAS) developed at the Hydrometcentre of Russia is presented. The assimilation is performed following the sequential scheme analysis–forecast–analysis. The main components of the ODAS are procedures for operational observation data processing, a variational analysis scheme, and an ocean general circulation model used to estimate the first guess fields involved in the analysis. In situ observations of temperature and salinity in the upper 1400-m ocean layer obtained from various observational platforms are used as input data. In the new ODAS version, the horizontal resolution of the assimilating model and of the output products is increased, the previous 2D-Var analysis scheme is replaced by a more general 3D-Var scheme, and a more flexible incremental analysis updating procedure is introduced to correct the model calculations. A reanalysis of the main World Ocean hydrophysical fields over the 2005–2015 period has been performed using the updated ODAS. The reanalysis results are compared with data from independent sources.     

Subtleties in forcing eddy resolving ocean models with satellite wind data

Using new global satellite remote sensing data, we show that ignoring the ocean current dependence in the wind stress artificially increases global wind power input to the oceanic general circulation by about 32%, and more than doubles the input in the regions of strong ocean current systems. Scatterometer-derived wind stress naturally accounts for the moving ocean that is not included in traditional wind stress products. However, forcing an ocean model with a scatterometer-derived wind stress cannot actually account for the ocean current effect on the wind power input. The difference between the real and modeled surface eddy fields can reduce the damping associated with the ocean current dependence in wind stress, leading to a positive bias in global wind power input of about 23%. Most of this spurious energy flux goes directly to the fluctuation eddy field and is several times larger than the energy flux to real ocean eddies.     

海洋环流模式中不同近似假设下的海表高度

Boussinesq近似是现代海洋环流模式中经常采用的假设，但随着海洋模式的不断发展完善以及气候研究应用的需要，有必要估算Boussinesq近似造成的模式误差。分别利用一个非Boussinesq近似的海洋模式与另一个结构相同且采用Boussinesq近似的模式计算海表高度，并同时利用模式预报的温度、盐度资料计算了比容异常高度。分析结果显示，这3种不同定义的海表高度无论空间结构，还是时间演变，都基本类似，尤其在热带海区最接近，差值≤1cm。Boussinesq近似意味着在模式中以体积守恒代替质量守恒，通常的做法是对其进行简单的质量补偿来保持质量守恒。比较说明，以质量补偿方法进行的高度订正对减小Boussinesq近似带来的误差没有本质的意义。     

Estimation of Transmission Loss in the Presence of Geoacoustic Inversion Uncertainty

A common problem in sonar system prediction is that the ocean environment is not well known. Utilizing probabilistic based results from geoacoustic inversions we characterize parameters relevant to sonar performance. This paper describes the estimation of transmission loss and its statistical properties based on posterior parameter probabilities obtained from inversion of ocean acoustic array data. This problem is solved by first finding an ensemble of relevant environmental model parameters and the associated posterior probability using a likelihood based inversion of the acoustic array data. In a second step, each realization of these model parameters is weighted with their posterior probability to map into the transmission loss domain. This approach is illustrated using vertical-array data from a recent benchmark data set and from data acquired during the Asian Seas International Acoustics Experiment (ASIAEX) 2001 in the East China Sea. The environmental parameters are first estimated using a probabilistic-based geoacoustic inversion technique. Based on the posterior probability that each of these environmental models fits the ocean acoustic array data, each model is mapped into transmission loss. This enables us to compute a full probability distribution for the transmission loss at selected frequencies, ranges, and depths, which potentially could be used for sonar performance prediction.