排序方式： 共有28条查询结果，搜索用时 15 毫秒
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Yu-Kun QIAN Chang-Xia LIANG Zhuojian YUAN Shiqiu PENG Junjie WU Sihua WANG 《大气科学进展》2016,33(5):614-631
Based on 25-year(1987–2011) tropical cyclone(TC) best track data, a statistical study was carried out to investigate the basic features of upper-tropospheric TC–environment interactions over the western North Pacific. Interaction was defined as the absolute value of eddy momentum flux convergence(EFC) exceeding 10 m s~(-1)d~(-1). Based on this definition, it was found that 18% of all six-hourly TC samples experienced interaction. Extreme interaction cases showed that EFC can reach~120 m s~(-1)d~(-1) during the extratropical-cyclone(EC) stage, an order of magnitude larger than reported in previous studies.Composite analysis showed that positive interactions are characterized by a double-jet flow pattern, rather than the traditional trough pattern, because it is the jets that bring in large EFC from the upper-level environment to the TC center. The role of the outflow jet is also enhanced by relatively low inertial stability, as compared to the inflow jet. Among several environmental factors, it was found that extremely large EFC is usually accompanied by high inertial stability, low SST and strong vertical wind shear(VWS). Thus, the positive effect of EFC is cancelled by their negative effects. Only those samples during the EC stage, whose intensities were less dependent on VWS and the underlying SST, could survive in extremely large EFC environments, or even re-intensify. For classical TCs(not in the EC stage), it was found that environments with a moderate EFC value generally below ~25 m s~(-1)d~(-1) are more favorable for a TC's intensification than those with extremely large EFC. 相似文献
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Zhijuan Lai Sai Hao Shiqiu Peng Bei Liu Xiangqian Gu Yu-Kun Qian 《Natural Hazards》2014,73(3):1353-1368
A dynamical downscaling approach based on scale-selective data assimilation (SSDA) is applied to tropical cyclone (TC) track forecasts. The results from a case study of super Typhoon Megi (2010) show that the SSDA approach is very effective in improving the TC track forecasts by fitting the large-scale wind field from the regional model to that from the global forecast system (GFS) forecasts while allowing the small-scale circulation to develop freely in the regional model. A comparison to the conventional spectral-nudging four-dimensional data assimilation (FDDA) indicates that the SSDA approach outperforms the FDDA in TC track forecasts because the former allows the small-scale features in a regional model to develop more freely than the latter due to different techniques used. In addition, a number of numerical experiments are performed to investigate the sensitivity of SSDA’s effect in TC track forecasts to some parameters in SSDA, including the cutoff wave number, the vertical layers of the atmosphere being adjusted, and the interval of SSDA implementation. The results show that the improvements are sensitive in different extent to the above three parameters. 相似文献
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利用三维普林斯顿海洋模型（POM）以及逐时水位观测数据,研究印度洋北部斯里兰卡北部海岸风暴潮-潮汐相互作用特征.选择了2008年的"Nisha"台风作为台风风暴潮个例进行研究,并进行了3个数值敏感性试验.经验证,该风暴潮模型可以很好地再现该台风期间研究区域内的潮汐和总海水水位.试验结果表明,沿斯里兰卡西北海岸的风暴潮-潮汐相互作用显著,其强度与台风的强度和轨迹相关.当TC在42 h达到较大强度时,可以得到风暴潮-潮汐相互作用导致的最大增水值TSI （0.6 m）和从印度洋外海向斯里兰卡西北部浅滩流入的最大相互作用流场.在TC强度较弱的第30小时,得到最大负TSI （-0.6 m）和向南流出西北部浅水区域的较弱的相互作用流场.在整个台风期间,强TSI都发生在斯里兰卡西北部海滩到对岸的印度洋近岸区域. 相似文献
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四川省剑门关一带晚侏罗世沉积体系与古环境演化 总被引：2，自引：0，他引：2
晚侏罗世是龙门山前陆盆地演化的关键时期, 因而沉积体系与古环境演化研究具有重要意义.运用比较沉积学的方法, 通过对沉积序列与旋回的详细研究, 将研究区晚侏罗世沉积体系分为湖泊沉积体系、三角洲沉积体系、冲积扇沉积体系以及河流沉积体系; 基于沉积背景和演化的分析, 确定龙门山推覆构造带是研究区晚侏罗世古环境演化和沉积体系空间配置的控制因素; 依据古流和物源分析, 确定西北部的龙门山是本区主要物源区 相似文献
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Tao Song Ningsheng Han Yuhang Zhu Zhongwei Li Yineng Li Shaotian Li Shiqiu Peng 《海洋学报(英文版)》2021,40(7):68-76
A deep-learning-based method, called ConvLSTMP3, is developed to predict the sea surface heights(SSHs).ConvLSTMP3 is data-driven by treating the SSH prediction problem as the one of extracting the spatial-temporal features of SSHs, in which the spatial features are "learned" by convolutional operations while the temporal features are tracked by long short term memory(LSTM). Trained by a reanalysis dataset of the South China Sea(SCS), ConvLSTMP3 is applied to the SSH prediction in a region of the SCS east off Vietnam coast featured with eddied and offshore currents in summer. Experimental results show that ConvLSTMP3 achieves a good prediction skill with a mean RMSE of 0.057 m and accuracy of 93.4% averaged over a 15-d prediction period. In particular,ConvLSTMP3 shows a better performance in predicting the temporal evolution of mesoscale eddies in the region than a full-dynamics ocean model. Given the much less computation in the prediction required by ConvLSTMP3,our study suggests that the deep learning technique is very useful and effective in the SSH prediction, and could be an alternative way in the operational prediction for ocean environments in the future. 相似文献
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Numerical simulation of the structure and variation of upwelling off the east coast of Hainan Island using QuikSCAT winds 总被引：3，自引：0，他引：3
The spatial structure and variation of the upwelling in the waters east and northeast of Hainan Island, China during 2000-2007 were investigated using a nested high-resolution Princeton Ocean Model (POM) forced by QuikSCAT winds. The model produced good simulations of the summer upwelling and the seasonal and annual variability. Strong upwelling occurs from mid-July to mid-August with a peak east of Hainan Island associated with the southwesterly monsoon in the South China Sea. Sensitivity experiments indicated that when the local wind stress controls the variability of the upwelling, the large-scale circulation significantly enhances the upwelling northeast of Hainan Island by inducing a local upwelling and transporting cold water northeast-ward along the island’s east coast. The joint effects of the local wind stress and large-scale circulation result in stronger upwelling northeast of Hainan Island. This implies that the annual variation of the upwelling northeast of Hainan Island is controlled not only by the local alongshore wind stress but also by the large-scale circulation. This result will help us investigate the decadal variation of the upwelling in this region in the future. 相似文献
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莫桑比克海峡及其邻近海区是全球海洋潮流和潮能耗散最强的海区之一。文章利用高分辨率通用环流模式对该海区的正压潮流进行模拟, 并对该海区潮能通量和潮能耗散特征进行分析。结果表明, 莫桑比克海峡及其邻近海区的潮波主要是半日分潮占主导地位, 全日分潮可忽略不计, M2分潮形成1个左旋潮波系统和1个右旋潮波系统, S2分潮形成1个左旋潮波系统。莫桑比克海峡和马达加斯加岛南部等绝大数区域的M2和S2半日潮流是逆时针旋转, 在马达加斯加岛顶部等局部区域是顺时针旋转, 而且在海峡通道等复杂地形处潮流流速量级较大。潮能通量矢量主要来自东边界, 大部分潮能通量沿马达加斯岛北部传入莫桑比克海峡区域, 其中经过马达加斯加岛北部和进入莫桑比克海峡的M2 (S2)分潮的潮能通量分别为156.86GW (40.53GW)和148.07GW (36.05GW), S2分潮潮能通量的量级大约为M2分潮的1/5~1/4。底摩擦耗散主要发生莫桑比克海峡和马达加斯加岛南北部, 其中莫桑比克海峡M2 (S2)分潮的底摩擦耗散为1.762GW (0.460GW), 占其底部总耗散的43.74% (39.72%)。 相似文献
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东印度洋天气和风暴潮实时预报系统（EPMEF_EIO）由区域大气模式和区域风暴潮模型组成,每天实时运行4次.大气初边场来自美国国家环境预报中心（NCEP）的全球预测系统（GFS）,通过区域嵌套得到印度洋-东印度洋-斯里兰卡区域的3 d预报结果.大气模式的10 m预报风场驱动风暴潮模式,得到东印度洋-斯里兰卡区域的潮汐和风暴潮3 d预报结果.通过与中国科学院南海海洋研究所斯里兰卡站气象塔观测数据、最优台风路径数据和科伦坡水位站数据对比,发现模式预报气温和相对湿度的日变化较观测值偏小,气温总体RMSE为1.26℃,相关系数为0.8,相对湿度的总体RMSE为7.0%,相关系数为0.7;模式预报风速以整体偏大为主,总体RMSE为2.3 m/s,相关系数为0.65;模式预报风向能把握主要的变化趋势,RMSE在20°~32°之间,相关系数约0.65;模式24、48和72 h路径预报平均误差分别为110.5、166.4和181.0 km.此外,模式水位预报的RMSE为0.035 m,占最大振幅约5%,与观测的相关系数达到0.996.这说明了模式可以用于预报潮汐和风暴潮过程. 相似文献