亚欧典型热浪过程的大气环流对比分析

使用探空站实测资料、国家气象中心500 hPa位势高度和NCEP/NCAR再分析资料,分析了中国西北和江南地区以及欧洲、印度发生的典型热浪过程及其形成热浪的大气环流系统。结果表明:西风带高压脊和副热带高压的同位相“南北叠加”(表明高压宽广)和低层高压与上层高压的同位相“上下叠加”(表明高压深厚),以及下沉运动和感热、潜热中心的分布,是中国西北和欧洲热浪形成的大气环流原因;而中国江南和印度的热浪,则与副热带高压的异常强大和夏季风活动有关。     

1999年6月长江中下游梅雨暴雨的环流特征分析

利用客观分析资料和加强观测期资料,对1999年6月发生在我国长江流域的持续性梅雨期降水过程的大尺度环流特征进行了分析,结果表明:(1)1999年梅雨期,我国长江中下游强降水带状分布非常明显,强降水主要发生在长江中下游地区,强降水带呈东西向分布,并且雨带的南北边界非常清楚。(2)在对流层低层,从孟加拉湾来的西风气流和西太平洋副热带高压前缘的东南气流在长江流域维持,为此次强暴雨过程产生和发展提供了有利的大尺度条件。高空急流和低空急流的存在和维持为此次梅雨锋暴雨过程的发生提供了有利的抬升机制,而对流层中低层的中性对流不稳定特征则为持续性暴雨过程的发生提供了有利的不稳定机制。(3)梅雨锋区对流层低层的水汽辐合非常明显,水汽输送主要来自孟加拉湾和西太平洋,同时南海季风槽在向梅雨锋区输送水汽的过程中起到了非常重要的作用,它是热带海洋地区向我国内陆输送水汽的通道。(4)平均纬向风速u对流层高层出现了与高空西风急流与高空东风急流相对应的两个强风速核;径向平均风速v在400 hPa以下层次盛行南风,而在400 hPa以上的高层盛行北风;受两侧下沉气流的制约,梅雨锋降水带南北两侧存在位势不稳定层结中的不稳定能量无法释放,因此没有出现明显的降水。     

触发重庆山洪灾害的典型环流和影响系统分析

通过对触发重庆山洪灾害的31次区域性暴雨的特点以及产生重庆区域性暴雨的典型大气环流形势和主要影响系统的统计分析,结果表明:(1)重庆山洪灾害主要是强降水引起的滑坡、局部泥石流和小溪流的洪涝等灾害,其危害极大;(2)诱发重庆山洪灾害的典型区域性强降水主要出现在5~9月,其中7月出现频率最大;(3)绝大部分区域性强降水过程产生前,在500 hPa中、高纬地区上空形成两脊一槽型(占52%)或两槽一脊型的环流形势(占42%);(4)高原槽(高原切变)、高原涡、副热带高压、西南涡、低空急流、地面冷锋等为其主要影响系统。     

中小尺度的多普勒径向速度场特征分析

本文选取2003—2005年太原多普勒雷达资料,对中小尺度的多普勒速度场特征进行了深入研究。从逆风区厚度、尺度、强度(速度切变)等方面作了详细地分析,并与相应的回波反射率因子Z及VIL(垂直累积液态水含量)值对照。结果表明:逆风区强度与反射率因子,逆风区厚度与VIL值,逆风区底层流场结构与强回波发展趋势密切相关。而且,绝大部分逆风区出现时间较降水开始时间有1—2 h的提前。     

Comparison of Three Tropical Cyclone Intensity Datasets

Analyzed in this paper are the 16-yr (1988-2003) tropical cyclone (TC) intensity data from three major forecast centers of the western North Pacific, i.e., China Meteorological Administration (CMA), Regional Specialized Meteorological Center Tokyo (RSMC Tokyo), and Joint Typhoon Warning Center (JTWC) of the United States. Results show that there are significant discrepancies (at 1% significance level) in the intensity of TCs among the three centers, with a maximum difference for the same TC over 30 m s-1. The flight reconnaissance over TC can minish the discrepancy to some extent. A climatic and persistent prediction model is set up to study the impact of initial data from different forecast centers on the prediction of TC intensity. It is obtained that the root mean square error (RMSE) of a 4-yr independent test is the largest using data from JTWC, while the smallest using data from RSMC Tokyo. Average absolute deviation in 24-h intensity prediction is 2.5 m s-1 between CMA and RSMC Tokyo data, and 4.0 m s-1 between CMA and JTWC data, with a maximum deviation reaching 21 m s-1. Such a problem in the initial value increases the difficulty in intensity prediction of TCs over the western North Pacific.     

资料

2007年1月500hPa环流指数、环流特征量资料；2007年1月亚洲地区逐日500hPa西风环流指数及副热带高压脊线（120°E、130°E、140°E）位置[编者按]     

Performance of a Reconfigured Atmospheric General Circulation Model at Low Resolution

Paleoclimate simulations usually require model runs over a very long time.The fast integration version of a state-of-the-art general circulation model (GCM),which shares the same physical and dynamical processes but with reduced horizontal resolution and increased time step,is usually developed.In this study,we configure a fast version of an atmospheric GCM (AGCM),the Grid Atmospheric Model of IAP/LASG (Institute of Atmospheric Physics/State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics),at low resolution (GAMIL-L,hereafter),and compare the simulation results with the NCEP/NCAR reanalysis and other data to examine its performance.GAMIL-L,which is derived from the original GAMIL,is a finite difference AGCM with 72×40 grids in longitude and latitude and 26 vertical levels.To validate the simulated climatology and variability,two runs were achieved.One was a 60-year control run with fixed climatological monthly sea surface temperature (SST) forcing,and the other was a 50-yr (1950-2000) integration with observational time-varying monthly SST forcing.Comparisons between these two cases and the reanalysis,including intra-seasonal and inter-annual variability are also presented.In addition,the differences between GAMIL-L and the original version of GAMIL are also investigated. The results show that GAMIL-L can capture most of the large-scale dynamical features of the atmosphere, especially in the tropics and mid latitudes,although a few deficiencies exist,such as the underestimated Hadley cell and thereby the weak strength of the Asia summer monsoon.However,the simulated mean states over high latitudes,especially over the polar regions,are not acceptable.Apart from dynamics,the thermodynamic features mainly depend upon the physical parameterization schemes.Since the physical package of GAMIL-L is exactly the same as the original high-resolution version of GAMIL,in which the NCAR Community Atmosphere Model (CAM2) physical package was used,there are only small differences between them in the precipitation and temperature fields.Because our goal is to develop a fast-running AGCM and employ it in the coupled climate system model of IAP/LASG for paleoclimate studies such as ENSO and Australia-Asia monsoon,particular attention has been paid to the model performances in the tropics.More model validations,such as those ran for the Southern Oscillation and South Asia monsoon, indicate that GAMIL-L is reasonably competent and valuable in this regard.     

一次台风暴雨中的龙卷风天气

分析2006年8月4日佛山地区龙卷风天气发生前后环境场变化特征,从热力学、动力学方面诊断分析,初步概括龙卷风发生的简单机制,指出:在台风外围不稳定区域中,当有水平切变和强的垂直风切变存在时,且雷达回波强度图上出现人字型回波、速度场上有气旋式辐合,回波强度≥52 dB z时,要警惕龙卷风可能发生。     

2005年登陆我国热带气旋特征分析

热带气旋是影响我国沿海的主要灾害性天气系统之一, 它产生的狂风、暴雨、巨浪和风暴潮, 给沿岸地区人民生命和国家财产安全带来严重威胁。而严重的台风灾害, 往往是台风登陆引起的。为进一步研究登陆热带气旋的活动规律, 总结了2005年登陆我国热带气旋的特点, 结果表明:2005年登陆我国热带气旋具有登陆季节短、登陆地点分布异常、台风比例异常偏高、灾害损失极为严重的特点。同时, 还讨论了2005年登陆我国热带气旋异常的气候原因, 并指出未来几年登陆热带气旋和台风的年频数处在上升趋势中。     

A Note on the Role of Meridional Wind Stress Anomalies and Heat Flux in ENSO Simulations

Four comparative experiments and some supplementary experiments were conducted to examine the role of meridional wind stress anomalies and heat flux variability in ENSO simulations by using a high-resolution Ocean General Circulation Model （OGCM）. The results indicate that changes in the direction and magnitude of meridional wind stress anomalies have little influence on ENSO simulations until meridional wind stress anomalies are unrealistically enlarged by a factor of 5.0. However, evidence of an impact on ENSO simulations due to heat flux variability was found. The simulated Nino-3 index without the effect of heat flux anomalies tended to be around 1.0° lower than the observed, as well as the control run, during the peak months of ENSO events.