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《中国海洋大学学报(自然科学版)》2017,(4)
随着三维可视化技术在海洋环境仿真和信息表达方面的研究不断深入,在应用领域对海洋数据可视化结果的真实感、可视化过程中的实时交互性要求越来越高。基于GPU技术和OSG(Open Scene Graph)三维渲染引擎,研究OSG三维交互关键技术和体绘制渲染技术,开发一套面向大规模海洋水文环境数据的可视化软件,实现海洋要素场填色图、等值线绘制、等值面绘制、要素场体绘制和海流场动态模拟。为了更好的表达海量海洋水文环境数据的空间特性和实时性,在场景中建立节点对几何对象进行管理,引入回调机制实现动态渲染,加入CUDA(Computing Unified Device Architecture)并行计算提高计算速率,采用NetCDF(Network Common Data Form)文件格式对数据进行存取,应用GPU编程技术实现海洋水体环境要素快速体绘制。通过实践,开发实现的海洋水文环境可视化软件能够对海洋水体环境要素的属性和变化过程进行高效、直观的模拟和显示。 相似文献
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在分析海洋环境标量场要素数据特点,了解常规的海洋环境要素分析和可视化表达方式的基础上,对在三维球体模型上实现海洋标量场要素时空分析和可视化表达的方法和技术进行了研究.提出了海洋标量场要素数据的三维空间数据模型,以此为基础利用VC与Open GL技术实现纹理数据的实时绘制,并采用基于对象的方法在三维球体上对其进行可视化表达,实现了真正意义上基于地球球体模型的海洋标量场要素的可视化.该基于球体的可视化方式能更好地表现研究对象的区域特点,特别是在进行大范围区域乃至全球性研究时更具优势.同时,通过按需进行数据抽取,系统在数据加载效率与数据承载总量上都有所提高,在＂数字海洋＂原型系统中目前已经加载了全球范围多个精度的温度、盐度、密度、声速等标量场数据,并实现了业务化运行. 相似文献
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基于中国数字海洋建设的经验和成果,制定了海洋数据要素的分类方案,将海洋信息分为5大类：海洋点要素、海洋线要素、海洋面要素、海洋网格要素、海洋动态要素。采用基于特征的方法和面向对象的技术设计了适合数字海洋大型信息系统工程建设的时空数据模型,探讨了海洋空间数据模型、海洋立体格网数据模型、关系数据模型在数字海洋数据仓库建设中... 相似文献
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根据国家海洋局"数字海洋"的总体目标和总体框架,结合浙江省的实际情况,浙江省"数字海洋"建设的重点先期放在"数字海洋"信息基础框架建设上,基于国家"数字海洋"信息基础框架进行统筹规划和标准统一。充分利用"908专项"成果和浙江省在海域管理、环境保护、海岛和海岸带资源开发利用等各个领域积累的丰富信息资源,建立面向海洋经济、海洋开发管理和海洋决策支持的海洋信息基础平台和省级海洋综合管理信息系统,形成业务化海洋信息综合应用服务能力,为浙江省的海洋管理、海洋经济发展以及社会公众服务。 相似文献
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根据海洋遥感信息提取可视化建模应用需求,以用户可视化模型建立及流程设计实现为目标,采用统一建模语言UML面向对象分析方法,设计海洋遥感信息提取可视化建模系统软件结构、用户需求用例(use case)结构、类(class)结构及流程图表示法,同时完成流程定义器、流程调度的设计和实现.结果表明,可视化用户建模系统可以使广大海洋用户在使用遥感数据时无须在数据预处理及转换工作上花费较多的时间,也不要学习很多遥感信息处理专业知识即可适应和使用组件式海洋遥感数据处理和信息提取通用软件,并且在该软件平台上进行他们的研究和应用开发工作. 相似文献
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中国数字海洋的总体技术系统框架 总被引：9，自引：0，他引：9
提出了中国数字海洋的总体技术框架。讨论了建设中国数字海洋所要解决的一些问题：（1）基础软件平台的选择，当前应先用WebGIS，今后进一步发展方向应是Object WebGIS；（2）讨论数字地球中海洋和陆地的不同；（3）为了解决互操作问题，数字海洋的核心GIS要采用OpenGIS规范和将要建立的国家信息系统标准；（4）使用移动Agent,Web mining,Data mining技术；（5）提出Metadata的体系结构；等等。 相似文献
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Down-scaled regional ocean modeling system (ROMS) for high-resolution coastal hydrodynamics in Korea 总被引：1，自引：0，他引：1
A down-scaled operational oceanographic system is developed for the coastal waters of Korea using a regional ocean modeling system(ROMS).The operational oceanographic modeling system consists of atmospheric and hydrodynamic models.The hydrodynamic model,ROMS,is coupled with wave,sediment transport,and water quality modules.The system forecasts the predicted results twice a day on a 72 h basis,including sea surface elevation,currents,temperature,salinity,storm surge height,and wave information for the coastal waters of Korea.The predicted results are exported to the web-GIS-based coastal information system for real-time dissemination to the public and validation with real-time monitoring data using visualization technologies.The ROMS is two-way coupled with a simulating waves nearshore model,SWAN,for the hydrodynamics and waves,nested with the meteorological model,WRF,for the atmospheric surface forcing,and externally nested with the eutrophication model,CE-QUAL-ICM,for the water quality.The operational model,ROMS,was calibrated with the tidal surface observed with a tide-gage and verified with current data observed by bottom-mounted ADCP or AWAC near the coastal waters of Korea.To validate the predicted results,we used real-time monitoring data derived from remote buoy system,HF-radar,and geostationary ocean color imager(GOCI).This down-scaled operational coastal forecasting system will be used as a part of the Korea operational oceanographic system(KOOS) with other operational oceanographic systems. 相似文献
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The effects of sea surface temperature(SST) data assimilation in two regional ocean modeling systems were examined for the Yellow Sea(YS). The SST data from the Operational Sea Surface Temperature and Sea Ice Analysis(OSTIA) were assimilated. The National Marine Environmental Forecasting Center(NMEFC) modeling system uses the ensemble optimal interpolation method for ocean data assimilation and the Kunsan National University(KNU) modeling system uses the ensemble Kalman filter. Without data assimilation, the NMEFC modeling system was better in simulating the subsurface temperature while the KNU modeling system was better in simulating SST. The disparity between both modeling systems might be related to differences in calculating the surface heat flux, horizontal grid spacing, and atmospheric forcing data. The data assimilation reduced the root mean square error(RMSE) of the SST from 1.78°C(1.46°C) to 1.30°C(1.21°C) for the NMEFC(KNU) modeling system when the simulated temperature was compared to Optimum Interpolation Sea Surface Temperature(OISST) SST dataset. A comparison with the buoy SST data indicated a 41%(31%) decrease in the SST error for the NMEFC(KNU) modeling system by the data assimilation. In both data assimilative systems, the RMSE of the temperature was less than 1.5°C in the upper 20 m and approximately 3.1°C in the lower layer in October. In contrast, it was less than 1.0°C throughout the water column in February. This study suggests that assimilations of the observed temperature profiles are necessary in order to correct the lower layer temperature during the stratified season and an ocean modeling system with small grid spacing and optimal data assimilation method is preferable to ensure accurate predictions of the coastal ocean in the YS. 相似文献
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Effect of Langmuir circulation (LC) on upper ocean mixing is investigated by a two-way wave-current coupled model. Themodel is coupled of the ocean circulationmodel ROMS (regional ocean modeling system) to the surface wave model SWAN (simulating waves nearshore) via the model-coupling toolkit. The LC already certified its importance by many one-dimensional (1D) research andmechanismanalysis work. This work focuses on inducing LC’s effect in a three-dimensional (3-D) model and applying it to real field modeling. In ROMS, theMellor-Yamada turbulence closuremixing scheme is modified by including LC’s effect. The SWAN imports bathymetry, free surface and current information fromthe ROMS while exports significant wave parameters to the ROMS for Stokes wave computing every 6 s. This coupled model is applied to the South China Sea (SCS) during September 2008 cruise. The results show that LC increasing turbulence and deepening mixed layer depth (MLD) at order of O (10 m) in most of the areas, especially in the north part of SCS where most of our measurements operated. The coupled model further includes wave breaking which will bringsmore energy into water. When LC works together with wave breaking,more energy is transferred into deep layer and accelerates the MLD deepening. In the north part of the SCS, their effects aremore obvious. This is consistent with big wind event in the area of the Zhujiang River Delta. The shallow water depth as another reasonmakes themeasy to influence the oceanmixing as well. 相似文献