我国台风路径突变研究进展

台风路径突变包括其移动方向和移动速度的显著变化,是当今台风路径预报的难题。突变路径预报的巨大误差常导致台风防御失败,这与其机理认识不足等原因有关。本文回顾了我国关于台风突变路径的研究成果和最新进展。从台风与多尺度环流系统相互作用、台风内部动力机制以及下垫面状况等方面,总结了关于台风路径突变的主要环境影响因子、物理过程和动热力结构特征等方面的认识,对台风路径突变的发生概率、预报技术和存在问题进行阐述,并提出关于路径突变研究需要关注的一些问题。     

华东北部台风暴雨增幅前期条件的诊断及概念模式

通过对１０次增幅类、７次非增幅类台风暴雨过程的普查和对比分析，找出两类暴雨的特点和差异，对暴雨增幅前期条件进行物理诊断，并将诊断条件与流场特征、卫星云图分析相结合，得出台风暴雨增幅的概念模式，供日常预报应用。     

台风“鲇鱼”路径突变前后等熵位涡非对称结构的对比分析

利用高分辨率WRF模式对2010年13号超强台风“鲇鱼”移入南海以后的路径突变过程进行数值模拟,较好模拟出了台风由缓慢西行转为突然北上的过程。利用模拟资料,诊断分析了路径突变前期、突变时和突变后的不同高度上等熵位涡的分布特征。路径突变前期和后期不同高度上的等熵位涡的对称结构较明显;路径突变时各个层次上的位涡等熵分布均表现出明显非对称性。进一步对比分析了该路径突变过程前后台风对流发展和能量分布的变化,结果验证了等熵位涡结构的演变情况。非对称风场的切变存在一次逆时针方向倾斜而后恢复的过程,整层大气动能的分布也由近似轴对称发展为东部强于西部的显著的非对称。位于台风环流东南侧的非对称扰动所引起的平流和次级环流输送有助于台风路径由西行转为北上,这可能是环境流场偏弱条件下台风路径转折的有利触发机制。      

小型台风桑美特征及其强度突变诊断

利用NCEP再分析资料、MICAPS实时资料、数值预报产品资料、卫星雷达和自动站监测资料,对0608超强小型台风桑美的特征和强度突变过程进行分析,探讨小型台风的特征和强度突变的原因和诊断思路。分析结果表明:小型台风在高度场和气压场分析中容易被忽视,但涡度场分析对小型台风强度突变有指示意义,正涡度平流、高层辐散和低层辐合、有利热力及水汽条件有利于桑美强度发生突变。     

一个双台风降水的数值模拟及其分析

运用WRF模式对2012年双台风个例-1209号台风“苏拉”和1210号台风“达维”进行数值模拟,成功地模拟出了这次双台风的路径和中心强度变化,同时也模拟出这次双台风降水空间分布以及这次过程的强降水中心.WRF模式模拟的位势涡度场与NCEP再分析资料的位势涡度场极其相似.通过700hPa水汽通量与风矢量场对这次双台风降水过程的水汽条件进行分析,并结合这次双台风路径和台风中心强度对这次双台风相互作用进行初步探讨.     

双台风相互作用及其影响

采用三维变分混合同化方法对双台风菲特（1323）和丹娜丝（1324）、天鹅（0907）和莫拉克（0908）进行数值模拟,并在此基础上,采用移除双台风中任一台风和增强或减弱任一台风的方法,对双台风的相互作用进行了敏感性试验。结果表明:台风丹娜丝的作用导致台风菲特路径偏南,移速偏慢;台风菲特的作用导致台风丹娜丝路径偏北,移速变化不大。双台风相互作用使台风菲特和丹娜丝强度发生变化。在台风菲特强盛阶段强度更强,减弱消亡阶段强度更弱。2013年10月6-9日我国华东地区出现的强降水主要受台风菲特影响,台风丹娜丝使降水强度增强、强降水中心位置偏南。双台风相互作用使台风天鹅移向偏南,移速偏快,但台风天鹅对台风莫拉克的移向、移速影响不大;台风天鹅路径盘旋曲折,每次移向的变化都与台风莫拉克有关;台风天鹅打转程度与台风莫拉克的强度呈正相关,双台风间存在涡度、水汽通量等的相互影响及输送机制。     

台风业务应用和预警系统简介

为满足江苏省气象台日常业务和日益增加的服务需求,台风业务应用和预警系统(Typhoon Operational Application and Pre-warning System,以下简称TOAPS)依据中国气象局台风业务规范,结合江苏省台多年的实践经验,融入江苏省台最新研究成果,采用可视化语言编制而成。系统集报文解码、多家预报路径功能显示、预报发布、历史相似性查询、登陆台风"移行路径分类概念模式"、台风中心的云图定位及诸多辅助工具于一体。经过2003—2005三年台汛期在江苏省气象台的应用检验,证明该系统稳定可靠、软硬件环境要求较低、移植性好、可操作性强、自动化程度高,在江苏省台日常业务和专业服务方面发挥了重要作用。     

关于双台风相互作用的初步分析

本文应用1961—78年西北大平洋30对双台风资料,分析了双台风互旋与双台风中心间距、强度及相互方位的关系,并应用天气学方法计算和分析了单纯的双台风互旋与环境流场引导气流的作用,指出在双台风形势下,环境流场的引导作用是重要的。     

2005—2010年台风突变路径的预报误差及其环流背景

本文主要分析了2005-2010年西北太平洋上台风突变路径的预报误差及其相联系的环流形势.通过分析北折和西折两种突变路径发现,中央气象台对西折突变路径的24和48 h预报接近平均预报水平;北折突变路径突变时刻,24 h预报的距离误差达到145.6 km,比平均预报误差增加了29.3％,48 h预报的距离误差达317.3 km,比平均预报误差增加了68.3％.从突变路径的物理机制方面分析突变路径预报的难点.将台风附近气流分解成低频和高频两部分,合成分析发现两类突变路径的风场区别不仅表现在低频尺度上副热带高压的西伸程度,还表现在天气尺度上台风附近的风场分布.     

“六五”期间全国台风科研综合评述与“七五”规划的设想

“六五”期间评述“六五”期间全国台风科研规划总的目标是:研制适用于我国大范围的、预报性能较好的预报模式,向综合方向发展,提高预报精度;研究某些移向突变及双台风的活动规律等特殊现象,得出明确的诊断或预报条件,从而使我国台风路径预报技术有一个明显的提高。建立24—36小时东海、南海的近海台风发生发展的业务诊断或预报方法。     

Chaos of a simple coupled system generated by interaction and external forcing

Summary ?This paper is concerned with the chaotic behavior of a coupled system consisting of two components, one representing the atmosphere and the other representing the ocean. The system is expressed as a highly truncated spectral model and for each component, the spectral model is similar to that of Lorenz (1963). Interactions between the two components are permitted, which lead to the temporal variation of surface temperature and hence that of a critical model parameter (the Rayleigh number). The emphasis of the paper is placed upon the chaotic behavior arising from the interactions between the two components and from periodic external forcing. Numerical tests are carried out to show that through interactions, the chaotic behavior of one component may result in chaos of the other even if the latter is otherwise stationary or periodic. It is shown that chaos may also occur if the system is forced periodically at certain frequencies. This study indicates that a new mechanism for chaos exists for coupled systems which are subject not only to internal fluid dynamic nonlinear interactions, but also to interactions between different components and external forcing. Received July 24, 2001; revised March 25, 2002     

Interactions between perturbations to different Earth system components simulated by a fully-coupled climate model

We examine the global mean surface temperature and carbon cycle responses to the A1B emissions scenario for a new 57 member perturbed-parameter ensemble of simulations generated using the fully coupled atmosphere-ocean-carbon cycle climate model HadCM3C. The model variants feature simultaneous perturbation to parameters that control atmosphere, ocean, land carbon cycle and sulphur cycle processes in this Earth system model, and is the first experiment of its kind. The experimental design, based on four earlier ensembles with parameters varied within each individual Earth system component, allows the effects of interactions between uncertainties in the different components to be explored. A large spread in response is obtained, with atmospheric CO₂ at the end of the twenty-first century ranging from 615 to 1,100 ppm. On average though, the mean effect of the parameter perturbations is to significantly reduce the amount of atmospheric CO₂ compared to that seen in the standard HadCM3C model. Global temperature change for 2090–2099 relative to the pre-industrial period ranges from 2.2 to 7.5 °C, with large temperature responses occurring when atmospheric model versions with high climate sensitivities are combined with carbon cycle components that emit large amounts of CO₂ to the atmosphere under warming. A simple climate model, tuned to reproduce the responses of the separate Earth system component ensembles, is used to demonstrate that interactions between uncertainties in the different components play a significant role in determining the spread of responses in global mean surface temperature. This ensemble explores a wide range of interactions and response, and therefore provides a useful resource for the provision of regional climate projections and associated uncertainties.     

Wave/wave interaction producing horizontal mean flows in stably stratified fluids

We show that internal wave/wave interactions in stratified fluids are able to produce strong horizontal mean currents. A simple analytical model allows us to estimate the amplitude of the time-periodic horizontal mean flow induced by the interaction of two monochromatic waves. This model shows that in some cases, the mean flow velocity can overgo a threshold beyond which critical layers and intense energy transfers from the waves to the mean flow are expected. This prediction is confirmed by direct pseudo-spectral simulations of the Navier–Stokes equations under the Boussinesq approximation. Such interactions may help to further understand the presence of strong vertical shear observed in the final stage of stratified flows in oceans and atmospheres.     

A multi-model study of atmosphere predictability in coupled ocean–atmosphere systems

Of great importance for guiding numerical weather and climate predictions, understanding predictability of the atmosphere in the ocean − atmosphere coupled system is the first and critical step to understand predictability of the Earth system. However, previous predictability studies based on prefect model assumption usually depend on a certain model. Here we apply the predictability study with the Nonlinear Local Lyapunov Exponent and Attractor Radius to the products of multiple re-analyses and forecast models in several operational centers to realize general predictability of the atmosphere in the Earth system. We first investigated the predictability characteristics of the atmosphere in NCEP, ECMWF and UKMO coupled systems and some of their uncoupled counterparts and other uncoupled systems. Although the ECMWF Integrated Forecast System shows higher skills in geopotential height over the tropics, there is no certain model providing the most precise forecast for all variables on all levels and the multi-model ensemble not always outperforms a single model. Improved low-frequency signals from the air − sea and stratosphere − troposphere interactions that extend predictability of the atmosphere in coupled system suggests the significance of air − sea coupling and stratosphere simulation in practical forecast development, although uncertainties exist in the model representation for physical processes in air − sea interactions and upper troposphere. These inspire further exploration on predictability of ocean and stratosphere as well as sea − ice and land processes to advance our understanding of interactions of Earth system components, thus enhancing weather − climate prediction skills.

     

ARE THERE INTERANNUAL-TO-DECADAL SCALE OSCILLATIONS ASSOCIATED WITH SEA ICE-THERMOHALINE CIRCULATION INTERACTIONS IN A SIMPLE COUPLED ATMO-SPHERE-OCEAN-SEA ICE MODEL?

1　INTRODUCTIONIn order to gain further insight into the nature of decadal- scale climate variability at highlatitudes( e.g.,Mysak et al.,1 990 ;Deser and black- mon,1 993) ,there have been a number ofrecent model studies of sea ice- thermohaline circulation interactions which exhibitoscillationson this timescale( Yang and Neelin,1 993;Zhang et al.,1 995 ;Yang and Huang,1 996 ) .Acommon feature of these studies is that the ocean models are integrated using mixedboundary conditions( MBC…     

Atmospheric response to the North Atlantic Ocean variability on seasonal to decadal time scales

The NCEP twentieth century reanalyis and a 500-year control simulation with the IPSL-CM5 climate model are used to assess the influence of ocean-atmosphere coupling in the North Atlantic region at seasonal to decadal time scales. At the seasonal scale, the air-sea interaction patterns are similar in the model and observations. In both, a statistically significant summer sea surface temperature (SST) anomaly with a horseshoe shape leads an atmospheric signal that resembles the North Atlantic Oscillation (NAO) during the winter. The air-sea interactions in the model thus seem realistic, although the amplitude of the atmospheric signal is half that observed, and it is detected throughout the cold season, while it is significant only in late fall and early winter in the observations. In both model and observations, the North Atlantic horseshoe SST anomaly pattern is in part generated by the spring and summer internal atmospheric variability. In the model, the influence of the ocean dynamics can be assessed and is found to contribute to the SST anomaly, in particular at the decadal scale. Indeed, the North Atlantic SST anomalies that follow an intensification of the Atlantic meridional overturning circulation (AMOC) by about 9 years, or an intensification of a clockwise intergyre gyre in the Atlantic Ocean by 6 years, resemble the horseshoe pattern, and are also similar to the model Atlantic Multidecadal Oscillation (AMO). As the AMOC is shown to have a significant impact on the winter NAO, most strongly when it leads by 9 years, the decadal interactions in the model are consistent with the seasonal analysis. In the observations, there is also a strong correlation between the AMO and the SST horseshoe pattern that influences the NAO. The analogy with the coupled model suggests that the natural variability of the AMOC and the gyre circulation might influence the climate of the North Atlantic region at the decadal scale.     

波与基流相互作用下的对称不稳定中尺度环流的发展

通过建立包含扰动和基流方程组的数值模式，全面讨论了扰动与对称不稳定纬向基流的相互作用。研究表明：扰动与基流的相互作用表现为以下两个方面：(1)扰动改变了基流，而改变了的基流又对扰动有反馈作用；(2)扰动的平均输送同时也改变扰动自身的结构，从而影响扰动的发展。由对称不稳定基流激发的扰动倾斜环流使基流环境场发生的改变不利于对称不稳定的进一步发展；而由扰动的平均输送所产生的影响则有利于对称不稳定的进一步发展，并且后者的作用强于前者。     

Simple two-dimensional kinematic framework designed to test warm rain microphysical models

This paper describes a two-dimensional kinematic framework designed to test warm rain microphysical models. The idealized flow field is based on a case study from the Hawaiian Rainband Project (1990). Analyses of radar and aircraft data collected in convective cells embedded in Hawaiian rainbands are included for model validation. A Cloud Condensation Nuclei (CCN) activation spectrum, a condensational growth equation including the CCN chemical composition, collection efficiencies, and terminal velocities of the growing drops, are all provided. A sample set of figures from the test run with bulk microphysical parameterization illustrates the desired format for comparisons between the detailed model results and for validation of the model output with observations. This simple yet realistic test formulation includes vertical and horizontal advection, and can be used to evaluate microphysical model performance without complexities resulting from dynamical–microphysical interactions in dynamic cloud models. Without such interactions, scientists can focus on key physical processes involved in the formation of warm rain. The accurate representation of these processes in detailed models is essential to successfully simulate the observed evolution of warm precipitating clouds.     

Evaluation of Atmosphere–Land Interactions in an LES from the Perspective of Heterogeneity Propagation

Atmosphere–land interactions simulated by an LES model are evaluated from the perspective of heterogeneity propagation by comparison with airborne measurements. It is found that the footprints of surface heterogeneity, though as 2D patterns can be dissipated quickly due to turbulent mixing, as 1D projections can persist and propagate to the top of the atmospheric boundary layer. Direct comparison and length scale analysis show that the simulated heterogeneity patterns are comparable to the observation. The results highlight the model's capability in simulating the complex effects of surface heterogeneity on atmosphere–land interactions.     

陆面过程模式中地下水位的参数化及初步应用

田间研究表明地表水和地下水有重要的相互作用,它与土壤含水量密切相关.土壤含水量不仅在陆气相互作用系统水和能量平衡中,而且在干旱、洪水预报、水资源管理、生态系统研究中起十分重要的作用.因此,研究地表水和地下水的相互作用,建立陆面模式中地下水位的动态表示,对于气候与水资源研究具有重要意义.将地下水位的动态表示问题归结为饱和与非饱和流问题,发展了其数值计算方案,建立了地下水位的动态表示,并与陆面过程模型耦合,建立了陆气相互作用中地下水位的动态表示,并进行了数值模拟研究.