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    题名 作者 年代 出处 被引量
1NUMERICAL MODELLING OF THE QUASI-GLOBAL OCEAN CIRCULATION BASED ON POM显示文摘A free surface quasi-global ocean circulation model, Princeton Ocean Model (POM), was adopted to simulate the climatological circulation. The horizontal resolution of the model was 1/2°×1/2° with 16 vertical sigma layers. The initial temperature and salinity fields of the model were interpolated from the Levitus data, and the COADS(Comprehensive Ocean-Atmosphere Data Set) monthly mean SST and wind fields were used as the surface forcing. The integral time length is 6a. The main general circulation components such as the equatorial current, the equatorial undercurrent, the south and north equatorial currents, the Antarctic Circumpolar Current (ACC), the Kuroshio and the Gulf Stream were well reconstructed. The volume transports of PN section and ACC agree well with the estimations on field survey. Up to now there is no global or quasi-global circulation model results using POM in literature. Our results demonstrate that POM has sound ability to simulate the coastal circulation as well as the general ocean circulation. And this result can provide open boundary conditions for fine resolution regional ocean circulation models.XIAChang-shui QIAOFang-li ZHANGQing-hua YUANYe-li 2004Journal of Hydrodynamics2004,16,5:29
2渤、黄海风生流场季节循环时空模态与变异显示文摘根据1978—2015年渤、黄海沿岸观测风应力场与二维非线性垂直平均风生流模式,以及旋转经验正交函数(REOF)、调和分析等方法,研究了渤、黄海月平均风生流速度势、流函数场季节循环时空模态与年际变异.渤、黄海月平均风生流速度势、流函数场主要有两种时空模态,季节周期分量是时空模态的主要分量.由于风应力场季节循环变异,渤海流函数场季节时空循环变异程度大于速度势场,速度势、流函数场第二模态是季节变异的主要分量,黄海速度势场季节时空循环变异程度大于流函数场,速度势场第二模态是季节变异的主要分量.由于月平均风应力场强度年际变化显著线性减弱,渤、黄海季节平均风生流场强度年际变化也显著减弱.渤、黄海暖流与冷水团季节生消是风生流水平环流与垂直对流对冷-暖水体输送与汇集共同作用的结果,渤、黄海春、夏季辐合上升环流延缓及减弱了浅层暖水向深层传播,是春、夏季冷水团与温跃层形成的重要动力因素,因此,速度势是研究渤、黄海风生流场十分重要的因素.冬季渤海中部、黄海东部反气旋型及辐散下沉环流与黄海中部气旋型环流、辐合上升环流是黄海暖流季节转换与强度的主要动力控制因素,夏季黄海东部气旋型环流、辐合上升环流与黄海中部反气旋型环流、辐散下沉环流是黄海冷水团季节转换与强度的主要动力控制因素.石强 2018应用海洋学学报2018,37,4:6
3Simulation and analysis on seasonal variability of average salinity in the Yellow Sea显示文摘The CTD (conductivity, temperature and depth) data collected by six China-Korea joint cruises during 1996-1998 and the climatological data suggest that the seasonal variability of average salinity in the Yellow Sea (Sa) presents a general sinusoid pattern. To study the mechanism of the variability, annual cycles of Sa were simulated and a theoretical analysis based on the governing equations was reported.Three main factors are responsible for the variability: the Yellow Sea Warm Current (YSWC), the Changjiang (Yangtze) River diluted water (YRDW) and the evaporation minus precipitation (E-P). From December to the next May, the variability of Sa is mainly controlled by the salt transportation of the YSWC. But in early July,the YSWC is overtaken and replaced by the YRDW which then becomes the most important controller in summer. From late September to November, the E-P gradually took the lead. The mass exchange north of the37°N line is not significant.马建 乔方利 2004Chinese Journal of Oceanology and Limnology2004,22,3:5
41951—2000年间冬季黄海暖流变异的数值研究显示文摘通过二维正压数值模式,分别模拟了黄海1951—2000年间两个代表时间段冬季的环流状况。对比这两个时间段的环流,发现冬季黄海暖流及沿岸流存在着显著的变异。主要表现为:(1)在1951—2000年期间,黄海暖流和沿岸流都呈现明显的减弱趋势并且黄海暖流的主轴发生西移;(2)黄海暖流及沿岸流的减弱致使环流异常在黄海中部和西部形成了一个海盆尺度的反气旋环流圈,而在黄海东部形成一个弱的气旋式环流异常。进一步分析发现,环流的异常与冬季风风应力经水深平均后变异的旋度场吻合良好,表明冬季风场的变异和黄海水深分布是决定黄海环流变异特征的主要因子。1977—2000年间,在36°N断面观测到的海表温度锋面强度的减弱趋势也很好的验证了数值模式所得出的结果。塔娜 方越 孙双文 王辉武 刘延亮 2014海洋科学进展2014,32,2:3
5UNIFICATION AND APPLICATIONS OF MODERN OCEANIC/ATMOSPHERIC DATA ASSIMILATION ALGORITHMS显示文摘The key mathematics and applications of various modern atmospheric/oceanic data assimilation methods including Optimal Interpolation (OI), 4-dimensional variational approach (4D-Var) and filters were systematically reviewed and classified. Based on the data assimilation philosophy, i.e., using model dynamics to extract the observational information, the common character of the problem, such as the probabilistic nature of the evolution of the atmospheric/oceanic system, noisy and irregularly spaced observations, and the advantages and disadvantages of these data assimilation algorithms, were discussed. In the filtering framework, all modern data assimilation algorithms were unified: OI/3D-Var is a stationary filter, 4D-Var is a linear (Kalman) filter and an ensemble of Kalman filters is able to construct a nonlinear filter. The nonlinear filter such as the Ensemble Kalman Filter (ENKF), Ensemble Adjustment Kalman Filter (EAKF) and Ensemble Transformation Kalman Filter (ETKF) can, to some extent, account for the non-Gaussian information of the prior distribution from the model. The flow-dependent covariance estimated by an ensemble filter may be introduced to OI and 4D-Var to improve these traditional algorithms. In practice, the performance of algorithms may depend on the specific numerical model and the choice of algorithm may depend on the specific problem. However, the unification of algorithms allows us to establish a unified test system to evaluate these algorithms, which provides more insights into data assimilation philosophies and helps improve data assimilation techniques.QIAOFang-li ZHANGShao-qing YUANYe-li 2004Journal of Hydrodynamics2004,16,5:2
6NONLINEAR DYNAMICAL ANALYSIS OF BIFURCATION AND CONFLUENCE OF THE PACIFIC WESTERN BOUNDARY CURRENTS显示文摘In this paper, we analyze the bifurcation and the confluence of the Pacific western boundary currents by an analytical approach. Applying the conservation law, the geostrophic balance relation and the Bernoulli integral to a reduced gravity model, we get a quantitative relation for the outflow and the inflow, and establish the related formulae for the width and the veering angle of offshore currents under the inflow condition. Furthermore, a comparison between the volume transport based on the observation data and the analytical value for the Pacific western boundary currents is presented, which validates the theoretical analysis.NI Guo-xi JIANG Song JU Qiang-chang KONG Ling-hai 2012Journal of Hydrodynamics2012,24,3:1
7Reconstruction of eddies by assimilating satellite altimeter data into Princeton Ocean Model显示文摘An optimal interpolation assimilation model for satellite altimetry data is developed based on Princeton Ocean Model(POM),which is applied in a quasi-global domain,by the method of isotropic correlation between sea level anomaly(SLA) and sea temperature anomaly. The performance of this assimilation model is validated by the modeled results of SLA and the current patterns. Comparisons between modeling and satellite data show that both the magnitudes and distribution patterns of the simulated SLA are improved by assimilation. The most significant improvement is that meso-scale systems,e.g.,eddies,are well reconstructed. The evolution of an eddy located in the northwest Pacific Ocean is traced by using the assimilation model. Model results show that during three months the eddy migrated southwestward for about 6 degrees before merging into the Kuroshio. The three dimensional structure of this eddy on 12 August 2001 is further analyzed. The strength of this warm,cyclonic eddy decreases with the increase of depth. The eddy shows different horizontal patterns at different layers,and the SLA and temperature fields agree with each other well. This study suggests that this kind of data assimilation is economic and reliable for eddy reconstruction,and can be used as a promising technique in further studies of ocean eddies as well as other fine circulation structures.YIN Xunqiang QIAO Fangli XIA Changshui LU Xin'gang YANG Yongzeng 2010Acta Oceanologica Sinica2010,29,1:1
8TIDAL CONSTITUENTS IN THE BOHAI AND YELLOW SEAS FROM AN ADJOINT NUMERICAL MODEL WITH TOPEX/POSEIDON DATA显示文摘Eleven tidal constituents K1, O1, P1, Q1, M2, S2, N2, K2, M4, MS4 and M6, which are extracted from 10 years TOPEX/Poseidon altimetry data along track points in the Bohai and Yellow Seas, are assimilated synchronously into a two-dimension non-linear tidal model with adjoint method. And the bias between calculations and observations are provided. The deviations of M2 are 7.1×10 -2 m in amplitude and 4.7° in phase-lag. Those of O1 are 2.8×10 -2 m and 5.4° accordingly. Compared with other models, our discrepancy is less. It is shown that the precision of the model is more accurate. The co-tidal charts of the eleven constituents are also drawn. The general patterns are in good agreement with those literatures cited.QIUZhong-feng HEYi-jun LVXian-qing 2005Journal of Hydrodynamics2005,17,3:0
9SEASONAL REVERSE OF SEA SURFACE SLOPE IN THE NORTHERN YELLOW SEA AND ITS DYNAMIC RELATION WITH MONSOON EFFECTS显示文摘Based on the monthly average sea level data from the tide gauge measurement (1999-2001), the seasonal variability of the sea level in the Northern and Middle Yellow Sea is studied to reveal that the sea surface height at all the tide gauges becomes higher in summer than that in winter. In addition, the sea surface height of the Northern Yellow Sea is higher than the one of the Middle Yellow Sea with a slope downward from the north to the south in summer, while it is lower with a reversed slope in winter. The seasonal reverse of the sea surface slope can be attributed to the monsoon effects i.e. the annual reverse of the monsoon direction and the annual variation of the monsoon rainfall. A set of equations are established in light of the dynamic principles to expound how the monsoon forcing and the sea surface slope generate a summer outflow and a winter inflow in the Yellow Sea.PUShu-zhen CHENGJun ZHANGYi-jun SHIQiang 2004Journal of Hydrodynamics2004,16,5:0
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