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模块化海洋数据同化系统(Modular Ocean Data Assimilation System,MODAS)是美国海军用来确定全球海洋三维温度和盐度场的主要工具。MODAS通过同化卫星遥感测得的海面温度和海面高度,产生一种动态气候态,能够更接近地预报出海洋的真实状况。文中介绍了MODAS的应用价值和构建原理,对中国海军数字化海洋战场环境的建设具有重要的借鉴作用。 相似文献
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基于ROMS模式的南海SST与SSH四维变分同化研究 总被引：1，自引：0，他引：1
卫星遥感观测获得了大量高分辨率的海面实时信息，包括海面温度（SST）和海面高度（SSH）等，同化进入数值模式可有效提升模拟精度。本文基于ROMS模式与四维变分同化方法（4DVAR），使用AVHRR SST和AVISO SSH数据，开展了南海区域同化实验。为检验同化的效果，分别利用HYCOM再分析资料和Argo温盐实测数据分析了同化结果的海面高度、流场及温盐剖面的精度。对比结果表明，SST和SSH的同化能够改善ROMS的模拟结果:同化后海面高度场能够更为准确地捕捉海洋的中尺度特征，与HYCOM海面高度再分析资料相比，平均绝对偏差和均方根误差分别为0.054 m和0.066 m；与HYCOM 10 m层流场相比，东向与北向流速平均绝对偏差分别为0.12 m/s和0.11 m/s，相比未同化均提升约0.01 m/s；温盐同化结果与Argo温盐实测具有较高的一致性，温度和盐度平均绝对偏差为0.45℃、0.077，均方根误差为0.91℃、0.11，单个的温盐廓线对比说明，同化结果与HYCOM再分析资料精度相当。 相似文献
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中国海及邻近海域卫星观测资料同化试验 总被引：4，自引：0，他引：4
利用1个基于POMgcs海洋模式和多重网格三维变分同化方法建立的中国海及邻近海域海面高与三维温盐流数值预报模型,通过一系列数值试验,研究了同化卫星测高和卫星遥感海面温度观测资料对该模型预报能力的影响。试验结果表明,同化卫星测高资料可明显改善海面高度与三维温度和盐度的分析预报效果,使1 200 m以上的温度预报误差减小0.16℃,并能有效提高对海洋中尺度现象的预报能力;同化卫星遥感海面温度对100 m以上的温度和盐度的预报效果有所改善,可使海面温度的预报误差减小10%。 相似文献
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南海TOPEX海面高度资料的混合同化试验 总被引：16，自引：10，他引：16
应用普林斯顿海洋模式（POM），对冬季南海由TOPEX／Poseidon得到的卫星遥感海面高度资料进行混合（blending)同化试验。混合同化的权重系数由以下两者决定：南海POM模式对冬季风强迫产生响应的海面高度场之标准方差；对应期间ＴＯＰＥＸ海面高度资料的标准方差。同化结果表明，混合同化方法不失为一种简单而又有效的同化方案。同化得到的南海环流结构与未同化的模式响应场比较可以发现：海面高度资料的同化试验能够有效地修正南海环流的若干大尺度特征，特别是对冬季黑潮入侵南海东北部的动力过程，同化结果有了更准确的描述。同时，另一个重要的修正表现在：同化试验中瞬变的中等尺度涡旋得到加强，体现了南海海洋天气尺度涡被资料同化所“唤醒”（trigger)。这种“唤醒”不仅明显地反映在表层环流场中，对南海次表层动力、热盐结构也有一定的影响。 相似文献
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气候模式中海洋数据同化对热带降水偏差的影响 总被引：1，自引：1，他引：0
本文采用海洋卫星观测海表温度(SST)和海面高度异常(SLA)数据,对国家海洋局第一海洋研究所地球系统模式FIO-ESM(First Institute of Oceanography Earth System Model version 1.0)中海洋模式分量进行了集合调整卡尔曼滤波(EAKF)同化,对比分析了大气环流、湿度和云量对海洋数据同化的响应,探讨了海洋同化对热带降水模拟偏差的影响。结果表明:海洋数据同化能有效改善海表温度和上层海洋热含量的模拟,30°S~30°N纬度带内年平均SST的绝均差降低60%。同化后大气模式模拟的赤道两侧信风得到明显改善,上升气流在赤道以北热带地区增强而在赤道以南热带地区减弱,热带降水模拟的动力结构更为合理,水汽和云量分布也更切合实际。热带年平均降水的空间分布和强度在同化后均得到改善,赤道以南的纬向年平均降水峰值显著降低,降水偏差明显减小,同化后30°S~30°N纬度带内年平均降水绝均差降低35%。 相似文献
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卫星遥感海表温度资料和高度计资料的变分同化 总被引：3，自引：0，他引：3
利用国家气候中心正在发展的第二代全球海洋资料同化系统(BCC_GODAS2.0),针对多变量同化的协调性问题,发展了一种基于三维变分框架(3DVAR)下的高度计和海表温度(SST)相互约束的同化方法。该方法使海面高度和SST资料在同一个动力约束关系下进行同化。在一般方法中,海面高度和SST观测项是代价函数中2个独立的观测项,海面高度项引入动力高度计算公式,海表温度项用统计关系进行垂向投影。在代价函数的实际求解的计算过程中,虽然其总体积分效应受海面高度观测的约束,但整个水柱中各层温盐分析变量的调整是无序的。针对这个问题,文章提出一种新的同化方案。该方案将SST的观测项并入海面高度观测项中,海面高度的一部分,确切说是上层海洋部分,由SST决定,因此至少在SST的统计关系能影响到深度的上层海洋,在代价函数的求解过程中,温盐的调整是受较强的统计关系约束的,而这种统计关系的有效性已经在很多SST的同化试验中被其他学者广泛应用并证明。利用该方法,对1993—1997年的AVHRR卫星遥感海表温度资料进行变分同化试验,用TAO、OISST和SODA数据集进行检验证明,通过对卫星遥感资料的同化能够有效改进对海洋温度和盐度的估... 相似文献
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海洋科学中的数据同化方法--意义、结构与发展现状 总被引：2，自引：0，他引：2
卫星观测数据的同化技术已成为海洋动力学研究的一个有效手段。详细讨论了数据同化方法的意义、系统结构及其发展近况，并总结了海洋科学研宄中的应用及发展状况． 相似文献
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The Navy’s Modular Ocean Data Assimilation System (MODAS) is an oceanographic tool to create high-resolution temperature and salinity on three-dimensional grids, by assimilating a wide range of ocean observations into a starting field. The MODAS products are used to generate the sound speed for ocean acoustic modeling applications. Hydrographic data acquired from the South China Sea Monsoon Experiment (SCSMEX) from April through June 1998 are used to verify the MODAS model. MODAS has the capability to provide reasonably good temperature and salinity nowcast fields. The errors have a Gaussian-type distribution with mean temperature nearly zero and mean salinity of −0.2 ppt. The standard deviations of temperature and salinity errors are 0.98°C and 0.22 ppt, respectively. The skill score of the temperature nowcast is positive, except at depth between 1750 and 2250 m. The skill score of the salinity nowcast is less than that of the temperature nowcast, especially at depth between 300 and 400, where the skill score is negative. Thermocline and halocline identified from the MODAS temperature and salinity fields are weaker than those based on SCSMEX data. The maximum discrepancy between the two is in the thermocline and halocline. The thermocline depth estimated from the MODAS temperature field is 10–40 m shallower than that from the SCSMEX data. The vertical temperature gradient across the thermocline computed from the MODAS field is around 0.14°C/m, weaker than that calculated from the SCSMEX data (0.19°–0.27 °C/m). The thermocline thickness computed from the MODAS field has less temporal variation than that calculated from the SCSMEX data (40–100 m). The halocline depth estimated from the MODAS salinity field is always deeper than that from the SCSMEX data. Its thickness computed from the MODAS field varies slowly around 30 m, which is generally thinner than that calculated from the SCSMEX data (28–46 m). 相似文献
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The authors describe the effort to provide three-dimensional global thermohaline and sound speed fields for use in the effects of sound in the marine environment (ESME) workbench suite of programs. The primary fields used are from the modular ocean data assimilation system (MODAS), developed by Fox et al. The system provides global thermohaline and sound speed fields on a daily basis using environmental inputs from the U.S. Navy as well as remote sensing of sea surface temperature and sea surface height. To examine the MODAS fields, the authors also used data from the Southern California Bight collected by the California Cooperative Fisheries Investigations as well as high-resolution hydrographic data collected over the continental shelf south of New England as part of the shelfbreak PRIMER experiment. MODAS performs well for features such as large-scale boundary currents and eddies but is more limited in resolving features such as shelfbreak and coastal fronts, which have small spatial and temporal correlation scales. Because of the considerable computational needs of other ESME modules and its use as a planning tool, the authors present a pragmatic approach for future applications. 相似文献
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A. Birol Kara Charlie N. Barron Paul J. Martin Lucy F. Smedstad Robert C. Rhodes 《Ocean Modelling》2006,11(3-4):376-398
A 1/8° global version of the Navy Coastal Ocean Model (NCOM) is used for simulation of upper-ocean quantities on interannual time scales. The model spans the global ocean from 80°S to a complete Arctic cap, and includes 19 terrain-following σ- and 21 fixed z-levels. The global NCOM assimilates three-dimensional (3D) temperature and salinity fields produced by the Modular Ocean Data Assimilation System (MODAS) which generates synthetic temperature and salinity profiles based on ocean surface observations. Model-data intercomparisons are performed to measure the effectiveness of NCOM in predicting upper-ocean quantities such as sea surface temperature (SST), sea surface salinity (SSS) and mixed layer depth (MLD). Subsurface temperature and salinity are evaluated as well. An extensive set of buoy observations is used for this validation. Where possible, the model validation is performed between year-long time series obtained from the model and time series from the buoys. The statistical analyses include the calculation of dimensionless skill scores (SS), which are positive if statistical skill is shown and equal to one for perfect SST simulations. Model SST comparisons with year-long SST time series from all 83 buoys give a median SS value of 0.82. Model subsurface temperature comparisons with the year-long subsurface temperature time series from 24 buoys showed that the model is able to predict temperatures down to 500 m reasonably well, with positive SS values ranging from 0.18 to 0.97. Intercomparisons of MLD reveal that the model MLD is usually shallower than the buoy MLD by an average of about 15 m. Annual mean SSS and subsurface salinity biases between the model and buoy values are small. A comparison of SST between NCOM and a satellite-based Pathfinder data set demonstrates that the model has a root-mean-square (RMS) SST difference of 0.61 °C over the global ocean. Spatial variations of kinetic energy fields from NCOM show agree with historical observations. Based on these results, it is concluded that the global NCOM presented in this paper is able to predict upper-ocean quantities with reasonable accuracy for both coastal and open ocean locations. 相似文献
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基于分位数回归的西南太平洋阿根廷滑柔鱼栖息地模型研究 总被引：6，自引：0，他引：6
阿根廷滑柔鱼是西南大西洋重要头足类资源,研究其变动、渔场分布与海洋环境的关系是其可持续利用的基础。本文利用分位数回归方法对表温(5m)、表层盐度(5m)、57m盐度及其盐度差、海面高度、叶绿素与阿根廷滑柔鱼钓获率进行回归分析,在中位数和高位数2种情况下分别建立阿根廷滑柔鱼的栖息地指数(HSI)模型,从而揭示西南大西洋阿根廷滑柔鱼栖息地的分布模式。研究表明,本文建立的各分位数回归方程均能较好地解释自变量与应变量的关系(P0.05)。1~5月在60°W以西、42°S~53°S阿根廷沿海的大部分海域,其HIS值基本上在0.7以上;而58°W以东海域的HIS在0.4以下。阿根廷滑柔鱼适宜栖息地分布(HIS大于0.6)有明显的季节变化。 相似文献
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V. V. Knysh S. G. Demyshev G. K. Korotaev A. S. Sarkisyan 《Izvestiya Atmospheric and Oceanic Physics》2007,43(3):363-377
A method for combined assimilation of climatic hydrologic fields of temperature, salinity, and the climatic dynamic level of the Black Sea into a model of sea dynamics is proposed. The monthly mean fields of the dynamic sea level were obtained from the results of assimilation of satellite altimetry data into the model. The statistical characteristics of errors in the forecasts of the level, salinity, and temperature were assumed to be proportional to the statistical characteristics of the differences between monthly mean climatic fields of temperature, salinity, and sea level calculated by means of assimilating altimetry observations of the sea level and analogous climatic hydrologic fields. The climatic fields of currents are reconstructed and analyzed. The assimilation of the climatic altimetry level allows the reproduction (in current fields) of quasi-stationary synoptic anticyclonic eddies located along the periphery of the Black Sea Rim Current. 相似文献
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G. K. Korotaev P. N. Lishaev V. V. Knysh 《Izvestiya Atmospheric and Oceanic Physics》2016,52(9):961-973
The methodology of joint processing of the satellite altimetry and occasional hydrological observations in the Black Sea for 1993–2012 is developed. The original technique for reconstruction of the 3D temperature and salinity fields in the deep-sea part is proposed and implemented. This technique makes it possible to identify the depths at which a contribution of adiabatic processes to the deformation of the temperature and salinity profiles of the sea is predominant. Daily-averaged 3D fields of the seawater temperature and salinity in a baroclinic layer on a regular grid are reconstructed. The evaluation of accuracy of the reconstructed temperature and salinity arrays is performed by comparing them with the data of hydrological exploration. Structures of the temperature and salinity fields are correlated naturally with topography of the altimetric level and clearly indicate the synoptic variability. Seasonal and interannual variabilities of the kinetic energy (averaged over horizons of the 63–400 m layer) of the geostrophic currents calculated using the dynamic method makes it possible to reveal a sharp increase in the kinetic energy of the currents in the winter season of 2002. A high correlation is found between the interannual variability of the ERA-Interim wind stress curl averaged over the surface of the deep sea part and the kinetic energy of the geostrophic currents in the 63–400 m layer. 相似文献
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G. K. Korotaev A. S. Sarkisyan V. V. Knysh P. N. Lishaev 《Izvestiya Atmospheric and Oceanic Physics》2016,52(4):418-430
A retrospective analysis has been done for the hydrophysical fields of the Black Sea for 1993–2012 with the assimilation of undisturbed monthly average profiles of temperature and salinity that were obtained by using an original procedure of joint processing of satellite altimetry and rare hydrological observations. The accuracy of the reconstructed fields of temperature and salinity of the Black Sea is evaluated by comparison with the data of sounding from the hydrological stations and the Argo floats. A comparative analysis is performed for the integral characteristics of the fields of temperature, salinity, and kinetic energy with the same characteristics of the reanalysis for 1992–2012 that assimilated the average annual profiles of temperature and salinity, surface temperature and altimetry level of the sea after being adjusted with respect to climate seasonal variability. The proposed procedure of the reanalysis execution allows a more precise reconstruction of the interannual variability of temperature and salinity stratification in the main pycnocline. The correlation between the annual and seasonal variability of the eddy of the wind friction tangential stress and the average kinetic energy at the levels is revealed. 相似文献
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V. V. Knysh G. K. Korotaev V. A. Moiseenko A. I. Kubryakov V. N. Belokopytov N. V. Inyushina 《Izvestiya Atmospheric and Oceanic Physics》2011,47(3):399-411
We pioneered a retrospective analysis of Black Sea hydrophysical fields for the period from 1971 to 1993. We describe a reanalysis algorithm based on the assimilation (in a σ-coordinate circulation model) of observed temperature and salinity data obtained on hydrophysical test areas. The thickness of the cold intermediate layer (CIL) and its freezing capacity for 1985 to 1993 were found to be increasing. At the levels of 0, 50, 75, and 100 m, the tendency of variations in annual values of level-averaged temperature is negative. At the level of 200 m and deeper, the linear trends of the interannual course of temperature are positive. We found that the linear trends of interannual variations in salinity are negative in the upper layer of 0 to 50 m and positive at 75 m and deeper. The sea-water circulation in the layer from 0 to 300 m was observed to be maximum in February–March and minimum in September–October. The characteristic of the linear trend of interannual variations in the kinetic energy of currents averaged over the sea surface is negative, while its value is positive in the layer from 50 to 100 m. Some factors responsible for the formation of hydrophysical fields in the sea and their seasonal and interannual variations were indicated. We revealed that there is a qualitative resemblance between seasonal and interannual variations [4, 26] in temperature, salinity, and kinetic energy. 相似文献