8807号登陆台风的数值研究：内核结构及能量水汽收支

使用PSU/NCAR研制的非静力中尺度模式MM5对登陆后维持较久的典型个例8807号台风(Bill)进行了数值模拟。模拟采用了网格距分别为18和6 km的两重双向嵌套网格。通过给定初始涡旋和选择合适的物理过程,模式不仅比较好地模拟了Bill的强度变化过程,而且再现了风暴的移动轨迹,对降水量的模拟也相当成功。文中利用细网格的模拟结果,分析台风登陆前后的内核结构特征和能量水汽收支,揭示Bill登陆后维持较久的可能原因。分析表明,Bill台风登陆后出现了中低层的稳定度特别是湿稳定度显著加大、表面热通量和水汽通量明显减小、摩擦耗散的动能显著增加等不利于台风维持的特征。但是台风登陆后眼墙结构长时间维持,在登陆初欺眼墙区的上升气流乃至较登陆前更强;台风登陆后通过低层辐合获得了大量水汽,眼墙区强劲的上升运动将低层辐合的水汽向中上层输送,在眼墙附近凝结产生大量的非绝热加热;非绝热加热不仅增暖气柱、增加位能还影响位能向动能的转换,虽然台风登陆后陆面摩擦显著加大,但气压梯度力所做的正功足以补偿摩擦耗散的动能,因而Bill能在登陆后长时间维持。     

三类物理过程对台风强度影响的研究

文中设计了一个极坐标系的准地转正压模式 ,一个直角坐标系定常台风环流条件下的准地转正压模式和一个直角坐标系非定常台风环流的准地转正压模式 ,其径向或水平格距均为 2km ,以研究三类物理过程对台风强度的影响 ,即沿方位角方向的线性平流 ,沿径向的线性平流以及非线性平流对中尺度涡旋涡量内传和台风强度变化的影响。结果指出 :沿方位角方向的线性平流可导致螺旋状涡带的形成 ;沿径向的线性平流在一定的参数集合可使涡量内传 ,台风略有增强 ;定常台风环流条件下扰动涡量的非线性平流可使内传涡量明显增加 ,台风明显增强 ;非定常台风环流条件下非线性平流的作用具有两重性 ,一方面可使内传涡量增多 ,有利于台风的增强 ,另一方面 ,在涡量内传过程中 ,原先呈同心圆轴对称的台风基流结构受到破坏 ,形成复杂流型 ,这又使台风趋于减弱。最后讨论了这些结果在台风强度预测方面的可能应用。     

副热带高压和对流潜热加热与南海台风的耗散及维持

利用自适应网格模式对９５０５号及９６１８号南海台风进行了数值模拟及试验,试验结果表明：南海台风的耗散主要与副热带高压加强有关,地形的影响较小。副高的活动对台风的加强与减弱十分敏感,当副高减弱时台风加强,副高加强时台风减弱。潜热释放是台风维持的主要因子。副高强度与潜热加热的大小成反比。分析发现,台风登陆后若与西风槽接近,则有利于台风维持。     

台风脉动对地震触发作用的初探

以１９４９年—１９８０年在西北太平洋形成的台风和发生在中国大陆及台湾省的地震为基础资料,通过简单分析、机理讨论和震例论证,发现存在一次台风可触发多次地震和一次地震可由多次台风触发的现象。     

Move a Tropical Cyclone with 4D-Var and Vortex Dynamical Initialization in WRF Model

Previous studies showed that 4 D-Var technique used for data assimilation could be modified for weather control. This study demonstrates the ability of 4 D-Var to influence the future path of a tropical cyclone by calculating perturbations in WRF simulation. Given the background error covariance matrix, the initial field is improved by the vortex dynamic initialization technique. Our results show that 4 D-Var can be applied to control the trajectory of simulated tropical cyclones by producing "optimal" perturbations. In the numerical simulation experiment of Typhoon Mitag in 2019, after this kind of weather control similar to data assimilation, the tropical cyclone moved obviously,and the damaging wind over the coastline weakened. The prediction results after the initial field modified by 4 D-Var have a great change, and the position of the tropical cyclone moved about 0.5° southeastward after assimilation,which misses the southeast coast of China. Moreover, the damaging wind is also weakened. Since the 4 D-Var is premised on the assumption that the model is perfect and does not consider the model error, then the research plan to consider model error and introduce new methods is discussed in the paper.     

Effect of the Interaction of Different Scale Vortices on the Structure and Motion of Typhoons

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Typhoon disaster in China: prediction,prevention, and mitigation

Typhoon-induced disaster is one of the most important factors influencing the economic development and more than 250 million in China. In view of the existing state of typhoon disaster prediction, prevention, and mitigation, this paper proposes a new probability model, Multivariate Compound Extreme Value Distribution (MCEVD), to predict typhoon-induced extreme disaster events. This model establishes prevention criteria for coastal areas, offshore structures, and estuarine cities, and provides an appropriate mitigation scheme for disaster risk management and decision-making.     

Numerical simulation of typhoon surges along the coast of Taiwan

A numerical model has been designed to study the storm surge induced by typhoon along the coast of Taiwan. The governing equations have been expressed in spherical coordinate system, and a finite difference method has been used to solve them. In the system of hydrodynamical equations, the nonlinear advection and lateral eddy viscosity terms are prominent in shallow coastal waters. Air pressure gradient and wind stresses are the driving forces in the model of typhoon surge. The model has been verified with storm surges induced by Typhoons Herb in 1996, and by typhoons Kai-Tak and Bilis in 2000.     

Analysis of rainfall-induced infinite slope failure during typhoon using a hydrological–geotechnical model

Rainwater infiltration during typhoons tends to trigger slope instability. This paper presents the results of a study on slope response to rainwater infiltration during heavy rainfall in a mountain area of Taiwan. The Green-Ampt infiltration model is adopted here to study the behavior of rainwater infiltration on slopes. The failure mechanism of infinite slope is chosen to represent the rainfall-induced shallow slope failure. By combining rain infiltration model and infinite slope analysis, the proposed model can estimate the occurrence time of a slope failure. In general, if a slope failure is to happen on a slope covered with low permeability soil, failure tends to happen after the occurrence of the maximum rainfall intensity. In contrast, slope failure tends to occur prior to the occurrence of maximum rainfall intensity if a slope is covered with high-permeability soil. To predict the potential and timing of a landslide, a method is proposed here based on the normalized rainfall intensity (NRI) and normalized accumulated rainfall (NAR). If the actual NAR is higher than the NAR calculated by the proposed method, slope failure is very likely to happen. Otherwise, the slope is unlikely to fail. The applicability of the proposed model to occurrence time and the NAR–NRI relationship is evaluated using landslide cases obtained from the literature. The results of the proposed method are close to that of the selected cases. It verifies the applicability of the proposed method to slopes in different areas of the world. An erratum to this article can be found at