A Large-Eddy Simulation and Lagrangian Stochastic Study of Heavy Particle Dispersion in the Convective Boundary Layer

Large-eddy simulation and Lagrangian stochastic dispersion models were used to study heavy particle dispersion in the convective boundary layer (CBL). The effects of various geostrophic winds, particle diameters, and subgrid-scale (SGS) turbulence were investigated. Results showed an obvious depression in the vertical dispersion of heavy particles in the CBL and major vertical stratification in the distribution of particle concentrations, relative to the passive dispersion. Stronger geostrophic winds tended to increase the dispersion of heavy particles in the lower CBL. The SGS turbulence, particularly near the surface, markedly influenced the dispersion of heavy particles in the CBL. For reference, simulations using passive particles were also conducted; these simulation results agreed well with results from previous convective tank experiments and numerical simulations.     

试用500hPa高度资料做中长期雾日预测

利用鲁西南地区雾日与同期、前期全球500hPa高度资料，统计得出欧亚大陆槽脊位置，亚洲南北两支锋区的位置、强度、走向等与鲁西南地区雾日密切相关，并选取优势因子建立鲁西南地区月、旬、候雾日预测方程，试报结果表明，用前期全球500hPa高度资料预测雾日具有一定的效果。     

Changes in temperature and precipitation extremes in the CMIP5 ensemble

Twenty-year temperature and precipitation extremes and their projected future changes are evaluated in an ensemble of climate models participating in the Coupled Model Intercomparison Project Phase 5 (CMIP5), updating a similar study based on the CMIP3 ensemble. The projected changes are documented for three radiative forcing scenarios. The performance of the CMIP5 models in simulating 20-year temperature and precipitation extremes is comparable to that of the CMIP3 ensemble. The models simulate late 20th century warm extremes reasonably well, compared to estimates from reanalyses. The model discrepancies in simulating cold extremes are generally larger than those for warm extremes. Simulated late 20th century precipitation extremes are plausible in the extratropics but uncertainty in extreme precipitation in the tropics and subtropics remains very large, both in the models and the observationally-constrained datasets. Consistent with CMIP3 results, CMIP5 cold extremes generally warm faster than warm extremes, mainly in regions where snow and sea-ice retreat with global warming. There are tropical and subtropical regions where warming rates of warm extremes exceed those of cold extremes. Relative changes in the intensity of precipitation extremes generally exceed relative changes in annual mean precipitation. The corresponding waiting times for late 20th century extreme precipitation events are reduced almost everywhere, except for a few subtropical regions. The CMIP5 planetary sensitivity in extreme precipitation is about 6 %/°C, with generally lower values over extratropical land.     

浅论大气电过程与天气气候

该文论述了大气电学在天气气候学研究中的渗透，并根据实测资料的对比分析、讨论了晴天大气电过程、雷暴和闪电与天气气候过程之间的相关性和可能的耦合机制。结果表明，区域和全球性雷暴活动是耦合机制的一个关键参量，闪电是直观量，能以参数化形式引入大气环流模式定量地讨论耦合机制；发展的全球电路概念有可能把太阳、大气和地层联结在一起进行整体研究。     

包头市昆都仑水库增雨燃烧炉首次作业的效果分析

通过2009年5月27日包头市昆都仑水库地面增雨燃烧炉作业实况和多普勒天气雷达速度、713天气雷达回波及区域地面自动雨量站资料的对比分析,发现在深厚的层状云系中,适时进行地面燃烧炉增雨作业,可增强区域降水量,提高增雨作业能力。分析结果为指导包头地区地面燃烧炉布点和增雨作业提供了科学依据。     

皖江一次大暴雨多普勒天气雷达回波分析

利用合肥多普勒天气雷达回波和各种常规资料,对2010年梅雨期皖江一次大暴雨天气过程的雷达回波进行分析,探讨短时大暴雨的回波特征。结果表明：有利的大尺度环流,充足的水汽条件和较强的上升运动是产生强降水有利的天气背景。雷达资料分析发现形成此次皖江暴雨的源地位于大别山区,强降水是由局地发展的对流回波加强合并产生的,回波的发生和发展加强常常与风场的局地强辐合区（逆风区）相联系,雨带在中低空切变线上合并加强,强降水区域尺度较大,单体回波移向和雨带走向一致,回波移动缓慢或呈准静止状态,累积雨量大,易于形成暴雨。     

小浪底水库蓄水前后雷暴气候变化特征分析

利用小浪底库区及周边地区具有代表性的12个气象站蓄水前后共20 a逐日雷暴资料,采用数理统计方法对各站雷暴日数、初日、终日及其空间分布特征等进行统计,结果表明:小浪底水库蓄水后,因水域面积增大,对小浪底库区及周边雷暴气候特征等有较大影响,库区和周边东部年雷暴日数和初终间日数呈增加趋势,周边南部呈减少趋势;雷暴日数秋季增加,夏季减少;库区和周边雷暴初日均呈明显的提前趋势,终日多呈推迟趋势。