青藏高原气象学的研究进展和问题

分高原天气学、高原气候学、高原及邻近地区的大气环流、以及高原数值预报和模拟四方面简要回顾了新中国成立以来我国（也兼及国外）青藏高原气象学的主要进展，也提出今后研究中应注意的有关问题。     

北太平洋海表持续加热对夏季中国降水及大气环流的影响

用海温距平累积和讨论了北太平洋海温异常持续加热对夏季中国降水和大气环流的影响。结果表明：ＳＴＰＮＡ（海温的太平洋北美遥相关型）指数距平累积和与江淮流域夏季降水有密切的相关,与全国雨带的类型也有较好的联系。进而讨论了ＳＴＰＮＡ指数距平累积和对大气环流的影响。     

A TWO-LAYER PRIMITIVE EQUATION OCEAN CURRENT MODEL AND ITS SIMULATION

A two-layer primitive equation model is developed in this paper. The capabilities of this model aretested by the use of multiyearly averaged January and July sea surface level pressure fields and windfields which can be diagnosed from the pressure fields. The results show that the ocean surface currentsand undercurrents in the second layer driven by the sea surface wind and the sea surface pressure areclose to the observation. The results are also compared with that of the IAP OGCM and the OSUOGCM.     

贵州省秋季雨日时空变化及其与大气环流的关系

利用贵州省81站1964—2013年秋季(9—11月)雨日数及美国国家环境预报中心/大气研究中心(NCEP/NCAR)再分析资料,借助Morlet小波、合成分析等相关诊断方法,对贵州省秋季雨日数时空特征及其与大气环流的关系进行了分析。结果表明:贵州省秋季雨日数分布由东南部向西北部逐渐增多,一般在30.0~52.3 d。近50年秋季全省平均雨日数为40.5 d,总体呈减少趋势,每10年雨日数减少1.9 d。秋季雨日数突变发生在1987年前后,1964—1987年为偏多时段,1988—2013年为偏少时段,其中1997年以后减少趋势最为明显。近50年贵州秋季雨日序列存在准5 a和2~3 a的振荡周期,其中准5 a振荡最为显著。当贵州秋季雨日异常偏多时,南海上空的水汽通量在贵州地区辐合抬升,来自低纬地区的暖湿空气输送更加活跃,东亚大槽偏强,低纬度地区槽脊略有加深,贵州处于印缅槽前,偏南气流强盛,从而有利于冷、暖空气在贵州地区交汇,形成阴雨天气,造成贵州秋季雨日数异常偏多;反之亦然。     

聚类分析在暴雨预报和环流形势分型中的应用

数值预报投入业务运行以来，高空形势预报具有较高的准确率，要素预报的准确率也在不断提高，对数值预报产品的释用是近年来人们极为关注的问题，作者早用数值预报５００ｈＰａ高度场及降水实况资料，采用聚类分析法，研究暴雨落区预报和我国暴雨环流形势特征，所得结果在暴雨预报业务中有一定参考价值，同时也给出我国暴雨环流型。     

东亚春季强冷锋结构及其动力学诊断研究 I. 东亚春季强冷锋结构

本文利用常规探空资料和华东中尺度试验的部分资料，对1983年春季一次快速南下，并在江淮地区产生大范围强对流天气的冷锋进行了三维结构的分析。通过研究发现，这次冷锋过程主要有以下特征: （1） 与冷锋相对应的高空槽前存在一支下沉（DVM）气流；（2）有一强的辐合区出现在对流层中层，锋前上升运动的最大值也出现在对流层中层；（3）比较强的锋生过程主要集中于对流层中下层；（4）存在一支明显的热力直接环流（TDC），即暖湿空气沿冷锋倾斜上升；（5）在冷锋后存在一支较强的下沉气流（DVM），这支DVM对冷锋逆温层（或等温层）的形成可能有重要作用。并将此次东亚春季强冷锋个例与小仓义光（Ogura）等分析的北美春季冷锋（SESAME）个例作了对比，发现此次冷锋个例中，锋区的温度密集区主要在对流层中层，而北美SESAME个例温度密集区主要在对流层低层。这可能是由于东亚高空急流较强，动力强迫而引发锋生所致。     

Vertical structures of PM10 and PM 2.5 and their dynamical character in low atmosphere in Beijing urban areas

The vertical structures and their dynamical character of PM2.5 and PM10 over Beijing urban areas are revealed using the 1 min mean continuous mass concentration data of PM2.5 and PM10 at 8, 100, and 320 m heights of the meteorological observation tower of 325 m at Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP CAS tower hereafter) on 10―26 August, 2003, as well as the daily mean mass concentration data of PM2.5 and PM10 and the continuous data of CO and NO2 at 8, 100 (low layer), 200 (middle layer), and 320 m (high layer) heights, in combination with the same period meteorological field observation data of the meteorological tower. The vertical distributions of aerosols observed on IAP CAS tower in Beijing can be roughly divided into two patterns: gradually and rapidly decreasing patterns, I.e. The vertical distribution of aerosols in calm weather or on pollution day belongs to the gradually decreasing pattern, while one on clean day or weak cold air day belongs to the rapidly decreasing pattern. The vertical distributive characters of aerosols were closely related with the dynamical/thermal structure and turbulence character of the atmosphere boundary layer. On the clean day, the low layer PM2.5 and PM10 concentrations were close to those at 8 m height, while the concentrations rapidly decreased at the high layer, and their values were only one half of those at 8 m, especially, the concentration of PM2.5 dropped even more. On the clean day, there existed stronger turbulence below 150 m, aerosols were well mixed, but blocked by the more stronger inversion layer aloft, and meanwhile, at various heights, especially in the high layer, the horizontal wind speed was larger, resulting in the rapid decrease of aerosol concentration, I.e. Resulting in the obvious vertical difference of aerosol concentrations between the low and high layers. On the pollution day, the concentrations of PM2.5 and PM10 at the low, middle, and high layers dropped successively by, on average, about 10% for each layer in comparison with those at 8 m height. On pollution days, in company with the low wind speed, there existed two shallow inversion layers in the boundary layer, but aerosols might be, to some extent, mixed below the inversion layer, therefore, on the pollution day the concentrations of PM2.5 and PM10 dropped with height slowly; and the observational results also show that the concentrations at 320 m height were obviously high under SW and SE winds, but at other heights, the concentrations were not correlated with wind directions. The computational results of footprint analysis suggest that this was due to the fact that the 320 m height was impacted by the pollutants transfer of southerly flow from the southern peripheral heavier polluted areas, such as Baoding, and Shijiazhuang of Hebei Province, Tianjin, and Shandong Province, etc., while the low layer was only affected by Beijing's local pollution source. The computational results of power spectra and periods preliminarily reveal that under the condition of calm weather, the periods of PM10 concentration at various heights of the tower were on the order of minutes, while in cases of larger wind speed, the concentrations of PM2.5 and PM10 at 320 m height not only had the short periods of minute-order, but also the longer periods of hour order. Consistent with the conclusion previously drawn by Ding et al., that air pollutants at different heights and at different sites in Beijing had the character of "in-phase" variation, was also observed for the diurnal variation and mean diurnal variation of PM2.5 and PM10 at various heights of the tower in this experiment, again confirming the "in-phase" temporal/spatial distributive character of air pollutants in the urban canopy of Beijing. The gentle double-peak character of the mean diurnal variation of PM2.5 and PM10 was closely related with the evident/similar diurnal variation of turbulent momentum fluxes, sensible heat fluxes, and turbulent kinetic energy at various heights in the urban canopy. Besides, under the condition of calm weather, the concentration of PM2.5 and PM10 declined with height slowly, it was 90% of 8 m concentration at the low layer, a little lesser than 90% at the middle layer, and 80% at the high layer, respectively. Under the condition of weak cold air weather, the concentration remarkably dropped with height, it was 70% of 8 m concentration at the low layer, and 20%―30% at the middle and high layers, especially the concentration of PM2.5 was even lower.     

俯冲带板内地震竖向位移谱阻尼修正系数模型研究

基于日本K-NET和KiK-net台网中4695条俯冲板内地震记录的竖向分量,建立了位移谱阻尼修正系数(DMF)模型.采用基于场地周期的场地分类方法,并通过固定效应法推导出模型系数.该DMF模型考虑了谱周期、阻尼比和场地条件的影响,可以用来调整与震源和距离无关的设计反应谱.利用阻尼比对数的二次方程式对原数据进行拟合回归...     

登陆台风卡努(0515)内核区环流结构特征分析

本文采用地基雷达轨迹显示技术(Ground Based Velocity Track Display,简称GBVTD)反演的雷达风场资料,分析台风卡努(0515)在登陆期间近中心环流结构特征.轴对称环流结构分析表明,登陆前卡努轴对称切向风速最大值出现在眼墙区域2 km高度附近,最大风速半径随高度向外倾斜.轴对称径向入流...     

青藏高原对亚洲季风平均环流影响的数值试验

利用垂直方向具有９层σ面、水平方向菱形截断波数为１５的全球大气环流谱模式和有、无青藏高原大地形两种情况下１０年积分的模拟结果，研究了青藏高原大地形对亚洲季风平均环流的影响。结果表明：有、无青藏高原大地形，亚洲冬、夏季季风平均环流均存在很大的差异。去除地形，使夏季高层的南亚高压、低层的大陆热低压、副热带高压及冬季的大陆冷高压在位置或强度上发生了改变；地形的有、无决定着冬季东亚大槽的强度；索马里越赤道气流有地形时明显较无地形时强；地形的有无还影响着降水强度和雨带的分布。另外，副热带高压中心及雨带的季节性移动与高原大地形的存在与否亦有很大的关系