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71.
Modified PIC Method for Sea Ice Dynamics 总被引:1,自引:0,他引:1
The sea ice cover displays various dynamical characteristics such as breakup, rafting, and ridging under external forces. To model the ice dynamic process accurately, the effective numerical modeling method should be established. In this paper, a modified particle-in-cell (PIC) method for sea ice dynamics is developed coupling the finite difference (FD) method and smoothed particle hydrodynamics (SPH). In this method, the ice cover is first discretized into a series of lagrangian ice particles which have their own sizes, thicknesses, concentrations and velocities. The ice thickness and concentration at Eulerian grid positions are obtained by interpolation with the Gaussian function from their surrounding ice particles. The momentum of ice cover is solved with FD approach to obtain the Eulerian cell velocity, which is used to estimate the ice particle velocity with the Gaussian function also. The thickness and concentration of ice particles are adjnsted with particle mass density and smooth length, which are adjusted with the redistribution of ice particles. With the above modified PIC method, numerical simulations for ice motion in an idealized rectangular basin and the ice dynamics in the Bohai Sea are carried out. These simulations show that this modified PIC method is applicable to sea ice dynamics simulation. 相似文献
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74.
应用ANSYS软件建立了平台和冰相互作用的有限元模型,构建了自升式平台的冰激振动模型,并计算基于2种冰力模型的自升式平台的动力响应。此动力分析方法具有建模方便和计算精度高的特点。以某自升式平台为例,计算了冰和平台结构相互作用的耦合效应,为自升式平台冰激振动安全评估提供了参考依据。 相似文献
75.
融冰季节北极破碎冰区热通量的初步研究 总被引:5,自引:1,他引:5
利用航空遥感数字影像的解析结果和实测气象,海洋和海冰资料,定量研究了夏季融冰期北极破碎冰区的热通量,计算了海洋对大气的热贡献,结果表明,在北极夏季海冰融化时,短波辐射远远大于感热和潜热通量,是表面热通量的决定因素,海洋对大气的热贡献主要由长波辐射决定,在观测期间,海洋对大气的热贡献为38~104Wm^-2,这部分热量的大小与海冰的密集度有关,当海冰密集度小于0.8时,海洋对大气的热贡献随海冰密度度的增大而减小,而当海冰密集度超过0.8以后,该热通量将随海冰密集度的增大而增大。 相似文献
76.
海冰板的环形屈曲的压缩破坏 总被引:2,自引:0,他引:2
在轴对称条件下,给出海冰板的环向屈曲面临载荷,从细观力学的观点分析了微裂纹开裂的条件,扩展方向并给出绕海洋平台柱腿冰的损伤区的尺度。所给出的临界半径是一个与冰材料力学特征,冰的微结构参数一海洋平台柱腿半径相关的特征参数。对现场所观察和测量的结构给出了解释和定量分析。 相似文献
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78.
This article presents the application of a multivariate prediction technique for predicting universal time (UT1–UTC), length of day (LOD) and the axial component of atmospheric angular momentum (AAM χ 3). The multivariate predictions of LOD and UT1–UTC are generated by means of the combination of (1) least-squares (LS) extrapolation of models for annual, semiannual, 18.6-year, 9.3-year oscillations and for the linear trend, and (2) multivariate autoregressive (MAR) stochastic prediction of LS residuals (LS + MAR). The MAR technique enables the use of the AAM χ 3 time-series as the explanatory variable for the computation of LOD or UT1–UTC predictions. In order to evaluate the performance of this approach, two other prediction schemes are also applied: (1) LS extrapolation, (2) combination of LS extrapolation and univariate autoregressive (AR) prediction of LS residuals (LS + AR). The multivariate predictions of AAM χ 3 data, however, are computed as a combination of the extrapolation of the LS model for annual and semiannual oscillations and the LS + MAR. The AAM χ 3 predictions are also compared with LS extrapolation and LS + AR prediction. It is shown that the predictions of LOD and UT1–UTC based on LS + MAR taking into account the axial component of AAM are more accurate than the predictions of LOD and UT1–UTC based on LS extrapolation or on LS + AR. In particular, the UT1–UTC predictions based on LS + MAR during El Niño/La Niña events exhibit considerably smaller prediction errors than those calculated by means of LS or LS + AR. The AAM χ 3 time-series is predicted using LS + MAR with higher accuracy than applying LS extrapolation itself in the case of medium-term predictions (up to 100 days in the future). However, the predictions of AAM χ 3 reveal the best accuracy for LS + AR. 相似文献
79.
Glaciers, formed by snowfall and characterized by movement and size, are the most sensitive indicators to climate change.
The ice formation of glaciers (the processes, mechanisms and results of transformation from snow to ice) can indicate the
growth condition, the formation process and the physical characteristics of glaciers. Its spatial variation can also reflect
glacier change, and further reveal climate change. Studies on ice formation of glaciers in China were initiated in 1962, when
Xie and others studied the ice formation of Glacier No.1 at the Urumqi River head, Tianshan Mountain. Other researchersfollowed
suit and did studies on ice formation of glaciers in Qilian Mountain. As time goes by, the concept of ice formation came into
being in China. This paper reviews the development history of glacier zones, and the studies of ice formation of glaciers
in China since the 1960s. These studies mainly focus on Qilian Mountain, Tianshan Mountain, Altay Mountain, and the western
Kunlun Mountain, Himalaya Mountain, the southeastern Tibetan and Hengduan Mountains. The paper also discusses the significance
of ice formation studies, the limitation and deficiency of previous studies, and the prospects and suggestions for future
studies.
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Translated from Advances in Earth Science, 2007, 22(4): 386–395 [译自: 地球科学进展] 相似文献
80.
本文利用前人的成果及笔者1992/1993年的南极海冰观测和收集的资料以及水文观测资料数据阐述了南极海冰的特性,特别是南极海冰过程、冰穴以及冰川冰对南极水团(南极表层水、南极底层水、南极陆架水、南极中层水以及南极冰架水)的形成和变性所起的特殊作用。 南极海冰覆盖面积的年际变化,夏季最大年份是最小年份的2倍多,冬季年间变化较小,最大仅为20%;但其季节变化非常大,冬季平均覆盖面积通常是夏季的5倍。南极海冰对大气-海洋间相互作用有重大影响,特别是深海洋区中冬季的结冰和发育造成的垂向对流、夏季的融化是形成南极表层水(含南极冬季水和南极夏季表层水),进而形成南极中层水的主要原因;南极陆架区的的海冰兴衰过程是形成南极陆架水的直接原因,它与变性南极绕极深层水混合并受到冰川冰的进一步冷却作用,成为形成南极底层水的主要水团;南极冰架底部的冷却、融化和冰架以下水体的结冰作用形成的高盐对流过程产生的南极冰架水,亦是形成南极底层水的贡献者。 冰穴是70年代以来卫星观测的重大发现。对其形成和对大气、海洋的影响作用尚不完全清楚,初步的研究成果表明,冰穴中产生的热盐对流对南极水团的形成、变性、大洋深层的翻转以及海洋-大气间的热量传输和气体交换起有非常重要的作用。 相似文献