共查询到19条相似文献,搜索用时 78 毫秒
1.
2.
北极海冰数值模拟研究述评 总被引:7,自引:0,他引:7
根据国内外近年发表的主要文献,详细介绍北极海冰数值模拟工作的最新进展。综合评述各种主要动力学模式的特点和不足,指出与数值模式有关的主要物理问题,重点介绍海冰模式所特有的问题以及海冰数值模拟工作的发展方向。对以往的数值工作和海冰数值模拟的主要问题进行了总结,并在理论和实践方面进行了深入探讨,有助于我国相关工作的开展。 相似文献
3.
一维海冰热力模式的守恒型差分格式和数值模拟 总被引:13,自引:0,他引:13
根据前人研究的一维海冰热力模式,考虑到方程的特点,采用积分插值法构造了守恒型差分格式,并对海冰热力模式所描述的冰内热扩散传导和冰底厚度的变化进行了数值模拟。当冰面覆盖积雪时,用该解法同样计算了雪层内的热扩散,考虑冰雪之间的热力相互作用后,得到冰厚在有雪盖情况下的变化。 相似文献
4.
海冰动力学过程的数值模拟 总被引:30,自引:11,他引:30
讨论了海冰动力学性质并阐述决定海冰漂移的动量平衡,冰脊和水道形成及确定冰应力与形变、强度之间关系的海冰流变学.提出了模拟海冰动力学过程的数值模式,模式中冰厚分布由开阔水、平整冰和堆积冰3种要素表示.在这3要素的预报方程中引入形变函数,采用一种参数化方法模拟冰脊和水道.为了表示冰内相互作用,将海冰作为一种非线性粘性可压缩物质,采用粘-塑性本构关系.本文还概述和讨论了模式中所采用的数值方法,应用此模式模拟了渤海、波罗的海的波的尼亚湾和拉布拉多海的冰漂移.渤海冰漂移模拟结果明显地显示出潮周期变化,还模拟了渤海的冰脊和水道,进行了海冰流变学参数的敏感性试验.并将此冰模式与大气模式和边界层模式联接,给出渤海海冰预报结果. 相似文献
6.
7.
南极普里兹湾邻近海域海冰生消发展特征分析 总被引:4,自引:0,他引:4
利用美国冰雪数据中心发布的2003-2008年高分辨率海冰密集度数据,分6个阶段对普里兹湾区域海冰季节性变化的空间分布特征进行了研究,并根据普里兹湾海区的地形和环流对这些特征的成因进行了分析.结果表明,普里兹湾海冰冻结过程和融化过程分别经历7个月和5个月,海冰融化速度最快月份是10月和11月,主要表现形式为海冰密集度的减少;海冰冻结速度4月和6月最快,海冰外缘线向北扩展.由于普里兹湾近岸达恩利角冰间湖、普里兹湾冰间湖和Barrier湾冰间湖的存在,海冰的融化呈现大洋区由北向南、近岸区由南向北的双向融化特征;而在普里兹湾口、弗拉姆浅滩和四女士浅滩均存在不易融化的冰舌,两者之间的低密集度海冰区,则对应于暖水侵入普里兹湾的通道.南极绕极流在流经凯尔盖朗海台中部时向北偏转,造成此处在盛冰期较其它经度的海冰外缘更靠北,可达57°S.南极辐散带的表层流场和上升暖流抑制海冰冻结和聚集,形成了低海冰密集度区域. 相似文献
8.
9.
利用美国冰雪数据中心发布的2003—2008年高分辨率海冰密集度数据,分6个阶段对普里兹湾区域海冰季节性变化的空间分布特征进行了研究,并根据普里兹湾海区的地形和环流对这些特征的成因进行了分析。结果表明,普里兹湾海冰冻结过程和融化过程分别经历7个月和5个月,海冰融化速度最快月份是10月和11月,主要表现形式为海冰密集度的减少;海冰冻结速度4月和6月最快,海冰外缘线向北扩展。由于普里兹湾近岸达恩利角冰间湖、普里兹湾冰间湖和Barrier湾冰间湖的存在,海冰的融化呈现大洋区由北向南、近岸区由南向北的双向融化特征;而在普里兹湾口、弗拉姆浅滩和四女士浅滩均存在不易融化的冰舌,两者之间的低密集度海冰区,则对应于暖水侵入普里兹湾的通道。南极绕极流在流经凯尔盖朗海台中部时向北偏转,造成此处在盛冰期较其它经度的海冰外缘更靠北,可达57°S。南极辐散带的表层流场和上升暖流抑制海冰冻结和聚集,形成了低海冰密集度区域。 相似文献
10.
本文基于三维有限体积海洋模式FVCOM及其海冰模块,利用美国国家环境预报中心(NCEP)的逐时大气数据资料作为模式强迫场,以及通过调和优化后的WOA月平均气候态温盐场数据作为模式初始场,对2012年11月至2013年3月渤海海冰进行了数值模拟.通过对比数值模拟与实际海冰外缘线距离及海冰覆盖面积,模型能较好地模拟出整个渤... 相似文献
11.
Numerical simulation for dynamical processes of sea ice 总被引:1,自引:0,他引:1
NumericalsimulationfordynamicalprocessesofseaiceWuHuiding,BaiShan,ZhangZhanhaiandLiGuoqing(ReceivedMay16,1996;acceptedJanuary... 相似文献
12.
Numerical sea ice prediction in China 总被引:3,自引:2,他引:3
NumericalseaicepredictioninChinaWuHuiding,BaiShan,ZhangZhanhai1(ReceivedSeptember12,1996;acceptedJune5,1997)Abstract──Adynami... 相似文献
13.
14.
With improved observation methods, increased winter navigation, and increased awareness of the climate and environmental changes, research on the Baltic Sea ice conditions has become increasingly active. Sea ice has been recognized as a sensitive indicator for changes in climate. Although the inter-annual variability in the ice conditions is large, a change towards milder ice winters has been detected from the time series of the maximum annual extent of sea ice and the length of the ice season. On the basis of the ice extent, the shift towards a warmer climate took place in the latter half of the 19th century. On the other hand, data on the ice thickness, which are mostly limited to the land-fast ice zone, basically do not show clear trends during the 20th century, except that during the last 20 years the thickness of land-fast ice has decreased. Due to difficulties in measuring the pack-ice thickness, the total mass of sea ice in the Baltic Sea is, however, still poorly known. The ice extent and length of the ice season depend on the indices of the Arctic Oscillation and North Atlantic Oscillation. Sea ice dynamics, thermodynamics, structure, and properties strongly interact with each other, as well as with the atmosphere and the sea. The surface conditions over the ice-covered Baltic Sea show high spatial variability, which cannot be described by two surface types (such as ice and open water) only. The variability is strongly reflected to the radiative and turbulent surface fluxes. The Baltic Sea has served as a testbed for several developments in the theory of sea ice dynamics. Experiences with advanced models have increased our understanding on sea ice dynamics, which depends on the ice thickness distribution, and in turn redistributes the ice thickness. During the latest decade, advance has been made in studies on sea ice structure, surface albedo, penetration of solar radiation, sub-surface melting, and formation of superimposed ice and snow ice. A high vertical resolution has been found as a prerequisite to successfully model thermodynamic processes during the spring melt period. A few observations have demonstrated how the river discharge and ice melt affect the stratification of the oceanic boundary layer below the ice and the oceanic heat flux to the ice bottom. In general, process studies on ice–ocean interaction have been rare. In the future, increasingly multidisciplinary studies are needed with close links between sea ice physics, geochemistry and biology. 相似文献
15.
Ayumi Fujisaki Hajime Yamaguchi Fengjun Duan Genki Sagawa 《Journal of Oceanography》2007,63(5):775-790
In this study, a numerical model of 7-day forecast of sea ice produced by the Japan Meteorological Agency was improved by
the following approaches. First, a new ice dynamic model was introduced: the distributed mass/discrete floe model. The model
takes account of discrete characteristics of ice floes and well simulates the ice edge location at low computational cost.
Secondly, the grid size was reduced to 5 × 5 km for the future high resolution forecasts. Next, the sea surface current data
was examined because it significantly influences sea ice movement. We applied two new datasets of HINO and Okhotsk Ocean General
Circulation Model (Okhotsk OGCM), which are estimated by numerical simulations, for the 7-day forecast of sea ice. Ice southward
speed in January and the whorl formations in February and March were well reproduced with Okhotsk OGCM datasets. Finally,
the ocean heat flux at the ice-ocean interface was refined. As a result, we achieved an ice edge error reduction from 30.8
km to 23.5 km. 相似文献
16.
辽东湾JZ20—2海域海冰参数的概率分布 总被引:11,自引:1,他引:11
基于辽东湾JZ2 0 2海域 1996 2 0 0 0年 4个冬季的海冰定点观测资料和海冰数值模拟结果 ,对该海域的平整冰厚、冰速、冰向和压缩强度等海冰参数进行了概率分析 ,确定了各自的分布参数 ,并对冰速和冰向进行了联合概率分析。结果表明 :冰厚和冰速分别服从对数正态分布和瑞利分布 ,海冰压缩强度服从正态分布。计算结果可用于JZ2 0 2海域海洋结构可靠性设计和疲劳累积损伤分析的海冰参数 ,也可作为其邻近海域的参考资料 相似文献
17.
18.
19.
海冰数值模式是研究海冰动力热力状态参量及之间联系的有效途径。目前对冰厚数值模拟结果的分析远远少于对海冰范围/面积和密集度的研究,对冰速与海冰形变对冰厚分布影响的研究也尚欠缺。本文利用Los Alamos sea ice model(CICE)海冰模式模拟了1980−2018年的北极海冰变化,并使用遥感、同化冰厚数据进行比对验证,分析了模拟冰速和海冰形变对冰厚的影响,计算了冰速的散度和切变偏差对冰厚偏差的贡献。结果显示,CICE对北极70°N以北区域平均冰厚和冰速的年际变化模拟基本合理,但模拟的平均冰厚和冰速多年变化趋势均小于同化数据的变化率;模拟和观测冰厚的空间分布差异与冰速和形变率的偏差有密切联系,主要表现为波弗特海的正偏差和北极中央区至弗拉姆海峡的负偏差。泛北极区域散度和切变偏差在3月之前对冰厚偏差的贡献在13%~16%之间变化,3−4月则由16%跃变至27%。散度偏差主导了11月、12月波弗特海区域的冰厚正偏差,切变偏差主导了冬季加拿大群岛以北海域和穿极流区域的冰厚负偏差。 相似文献