冰雪对珠峰北坡绒布河谷局地环流影响的数值试验

利用RAMS中尺度模式对珠峰北坡绒布河谷地区的局地环流进行了数值模拟,包括控制试验和敏感试验.观测结果表明,珠峰北坡绒布河谷地区午后盛行来自珠峰方向的偏南风,这与其他山区的山谷风日变化存在显著差异.与观测结果比较;模拟结果(控制试验)能够较好地再现绒布河谷中的偏南主导气流.模拟结果(敏感试验)还显示,在去除高大山体的冰雪下垫面后,绒布河谷地区下午仍可存在偏南气流,但偏南风出现时间明显滞后,此时该气流来自珠峰南坡的强劲偏南谷风气流.因此,我们认为珠峰北坡的冰雪表面对绒布河谷地区盛行的偏南气流存在很大影响,但热力驱动的山谷风环流也是维持该地区强烈下泄流的主要原因.     

云微物理过程对暴雨影响的数值试验

本文利用美国科罗拉多州立大学95年完成的RAMS（Regional atmosphere Modeling system)3B版模式，通过冷、暖云两种方案，以常规报文资料为初值对1998年7月20－21日发生在湖北地区的特大暴雨过程进行了模拟分析，初步试验表明模式具有模拟此次强暴雨过程的能力，20日20时至21日20时24小时降水分别为304mm和206mm，最大雨强分别为48mm/hr和31mm/hr，降水中位于鄂东地区，与实况基本吻合。进一步分析表明聚合体粒子在此次降水中占有主要地位，冰相粒子的加入对降水有重要的增幅作用。     

Carbon Monoxide emission and concentration models for Chiang Mai urban area

An emission inventory containing emissions from traffic and other sources was complied. Based on the analysis, Carbon Monoxide （CO） emissions from traffic play a very important role in CO levels in Chiang Mai area. Analysis showed that CO emissions from traffic during rush hours contributed approximately 90% of total CO emissions. Regional Atmospheric Modeling System （RAMS） was applied to simulate wind fields and temperatures in the Chiang Mai area, and eight ca~es were selected to study annual variations in wind fields and temperatures. Model results can reflect major features of wind fields and diurnal variations in temperatures. For evaluating the model performance, model results were compared with observed wind speed, wind direction and temperature, which were monitored at a meteorological tower. Comparison showed that model results are in good agreement with observations, and the model captured many of the observed features. HYbrid Particle And Concentration Transport model （HYPACT） was used to simulate CO concentration in the Chiang Mai area. Model results generally agree well with observed CO concentrations at the air quality monitoring stations, and can explain observed CO diurnal variations.     

利用RAMS模式对山谷城市兰州冬季湖泊效应的数值模拟

利用美国科罗拉多州立大学和MRC/ASTER发展的RAMS中尺度气象模式, 以NECP再分析资料为初、 边值条件, 在兰州城区东面设计了有湖和无湖两个试验, 做了72 h三重嵌套模拟试验, 分别模拟了两种情况下冬季兰州山谷地区的湖泊效应和大气边界层特征。模拟结果表明： （1）白天兰州山谷地区谷风在14：00强度达到最大。加入湖泊后, 14：00湖风强度增大, 湖风对谷风没有明显影响, 只对湖区及岸边附近的风场有影响。兰州山谷地区20：00以后山风开始出现, 到05：00左右北山山风的风速大于南山山风。05：00以后南山山风风速增大, 山谷以偏西风为主。加入湖泊后, 陆风也在夜间02：00左右表现的最为明显, 陆风和山风相互叠加, 导致兰州山谷东部地区西风风速增大; （2）加入湖泊后, 对周围地区气温的影响表现为夜间有增温作用, 增温作用随着离湖泊的距离渐远而减弱。在靠近湖区处夜间的近地面逆温强度减弱; （3）加入湖泊后, 对靠近湖面处空气相对湿度的影响表现为减小, 对靠近湖西岸陆地上近地面空气相对湿度的影响表现为先减小后增加, 这一点在夜间表现的最明显, 对靠近湖面处空气绝对湿度的影响表现为增加; （4）加入湖泊后, 湖区的净辐射和感热通量都减小, 湖的东西两岸的净辐射和感热通量都增大。在22：00到凌晨05：00之间, 靠近湖西岸的陆地上净辐射和感热通量也有所增大。     

Charge structure of a summer thunderstorm in North China: Simulation using a Regional Atmospheric Model System

Electrification and simple discharge schemes are coupled into a 3D Regional Atmospheric Model System （RAMS） as microphysical parameterizations, in accordance with electrical experiment results. The dynamics, microphysics, and electrifi- cation components are fully integrated into the RAMS model, and the inductive and non-inductive electrification mechanisms are considered in the charging process. The results indicate that the thunderstorm mainly had a normal tripole charge structure. The simulated charge structure and lightning frequency are basically consistent with observations of the lightning radiation source distribution. The non-inductive charging mechanism contributed to the electrification during the whole lifetime of the thunderstorm, while the inductive electrification mechanism played a significant role in the development period and the mature stage when the electric field reached a large value. The charge structure in the convective region and the rearward region are analyzed, showing that the charge density in the convective region was double that in the rearward region.     

珠峰北坡绒布河谷局地环流的模拟分析

对珠峰北坡绒布河谷地区大气观测实验发现,绒布河谷中地面气流存在明显的日变化,但有别于其它地区的山谷风系统:在凌晨至正午前后基本为＜2m·s-1的小风,而午后至午夜则盛行来自珠峰方向的偏南下山风.由于珠峰北坡地区地形复杂,绒布河谷中地面气流的日变化可能是山谷风、坡风与冰川风等环流系统共同作用的结果.为了分析绒布河谷中风场日变化的主要驱动因子,本文利用一个中尺度气象模式对绒布河谷中典型风场进行了模拟,并借助观测资料对模拟结果进行了检验,进而对风场的时空分布特征及其变化原因进行了探讨.     

Influence of Topography and Large-scale Forcing on the Occurrence of Katabatic Flow Jumps in Antarctica： Idealized Simulations

The Regional Atmospheric Modeling System （RAMS）, which is a non-hydrostatic numerical model, has been used to investigate the impact of terrain shape and large-scale forcing on the Antarctic surface-wind regime, focusing on their roles in establishing favorable flow conditions for the formation of katabatic flow jumps. A series of quasi-2D numerical simulations were conducted over idealized slopes representing the slopes of Antarctica during austral winter conditions. Results indicate that the steepness and variations of the underlying slope play a role in the evolution of near-surface flows and thus the formation of katabatic flow jumps. However, large-scale forcing has a more noticeable effect on the occurrence of this small-scale phenomenon by establishing essential upstream and downstream flow conditions, including the upstream supercritical flow, the less stably stratified or unstable layer above the cold katabatic layer, as well as the cold-air pool located near the foot of the slope through an interaction with the underlying topography. Thus, the areas with steep and abrupt change in slopes, e.g. near the coastal areas of the eastern Antarctic, are preferred locations for the occurrence of katabatic flow jumps, especially under supporting synoptic conditions.     

渤海重现期波高的数值计算

利用RAMS大气模式给出的20年风场资料,利用SWAN近海波浪模式对渤海海域的波浪进行了20 a数值计算.通过与一般过程和大风过程的实测资料的对比后发现.波浪模拟值与实潮值符合地较好,SWAN模式适合渤海海域波浪的计算。通过分析发现.辽东湾常浪向为SSW。强浪向为SSW;渤海中部常浪向为S,强浪向为NE;渤海海峡常浪向为NNW,强浪向为NNW;莱州湾常浪向为S,强浪向为NNE;渤海湾常浪向为S.强浪向为NE。渤中偏东南海域(38°～39°N,119.5°～120.5°E)多年一遇有效波高最大.其中百年一遇有效波高最大值达到6.7m。     

An Application of the RAMS/FLUENT System on the Multi-Scale Numerical Simulation of the Urban Surface Layer A Preliminary Study

The Regional Atmospheric Modeling System （RAMS） and the computational fluid dynamics （CFD） codes known as FLUENT are combinatorially applied in a multi-scale numerical simulation of the urban surface layer （USL）. RAMS and FLUENT are combined as a multi-scale numerical modeling system, in which the RAMS simulated data are delivered to the computational model for FLUENT simulation in an offline way. Numerical simulations are performed to present and preliminarily validate the capability of the multi-scale modeling system, and the results show that the modeling system can reasonably provide information on the meteorological elements in an urban area from the urban scale to the city-block scale, especially the details of the turbulent flows within the USL.     

Interactions of an urban heat island and sea-breeze circulations during winter over the metropolitan area of São Paulo,Brazil

The Town Energy Budget (TEB) model, a detailed urban parameterisation using a generalised canyon geometry, coupled with the Regional Atmospheric Modelling System (RAMS) is used to simulate the wintertime local circulation in the megacity environment of the metropolitan area of Sao Paulo (MASP) in Brazil. Model simulations are performed using actual topography and land-use fields. Comparison with a simple urban parameterisation based on the LEAF-2 scheme is also shown. Validation is based on comparison between model simulations and observations. Sensitivity tests with TEB reveal an important interaction between the sea breeze and the MASP heat island circulation. Even though topography is known to play an important role in the MASP region’s weather, in these tests the simulations were performed without topography in order to unambiguously identify the interaction between the two local circulations. The urban heat island (UHI) forms a strong convergence zone in the centre of the city and thereby accelerates the sea-breeze front toward the centre of the city. The presence of the urban region increases the sea-breeze front propagation mean speed by about 0.32 m s⁻¹ when compared with the situation of no city. After its arrival in the urban region, the sea-breeze front stalls over the centre of the city for about 2 h. Subsequently, the sea breeze progresses beyond the city when the heat island dissipates. Thereafter, the sea breeze propagates beyond the urban area at a decelerated rate compared to a simulation without an UHI.