静止气象卫星水汽图像的分析和应用（一)

长期多次人工增雨试验及探测证明,水汽条件是人工影响天气最主要的基础条件。利用近期开通的GMS-5静止卫星6.7 μm通道提供的水汽图像,并结合常规天气资料、卫星云图等,对黑龙江省1995年7月的3次暴雨过程进行了初步分析。发现在水汽图像上,3次暴雨对应3种不同的类型。并对其中7月25～27日具有明显水汽输送带的持续性暴雨作了综合分析。该水汽图像给出了这次典型气旋发展阶段暖区水汽输送带的清晰直观图像,得到了水汽输送带的宽度和长度数据,并分析了它的温湿结构,估算了暖锋段降水的降水效率。另外,分析了云物理特征及     

致洪暴雨中期预报进展

结合我国国情,从防洪减灾的迫切需要出发,进行增长暴雨预见期的研究。采用气象与水文结合的方法,提出“致洪暴雨”的新概念,并简要地论述了近年来国内在致洪暴雨中期预报研究试验方面的若干新进展,其内容包括致洪暴雨过程出现的天气气候特征,大气环流形势背景、卫星云图及OLR场分布特点、大气超长波、长波及合成行星波、低频振荡、大气物理参数诊断、暴雨时空分布特点及其与洪水的关系,以及中期预报方法的探索等。     

500年来中国东部雨带的南北摆动

研究表明 ,在世纪时间尺度上 ,14 70年以来 ,在 10 8°E以东、4 0°N以南的中国东部发生了 7次多雨和 7次少雨过程 ,它们都最先从中国北方开始 ,然后是江淮地区 ,华南地区出现最迟。中国温度高时 ,多雨区偏南 ,温度低时 ,多雨区偏北。中国多雨区自北向南的位相差异可能与Hadley环流的变化有关。气候的自然变化对近几十年来中国北方的干旱和近十几年来长江流域的多雨仍起着主要作用     

洛阳2001年春夏连旱及近半个世纪气候变化分析

利用1951－2001年洛阳降水与气温资料，分析了2001年春夏连旱的气候特征以及近半个世纪以来洛阳的气温、降水变化，得出洛阳气温越来越高、降水越来越少、气候逐渐向暖偏旱的方向发展的结论。     

河北平原地裂缝产生的微观机理研究

分析了降雨和微结构失稳诱发的河北平原地裂缝机制。根据研究发现:(1) 根据近40a来华北平原的降雨量曲线图与地裂缝发生的时间图对比发现地裂缝多干旱年份的6-8月,地裂缝与农业灌溉用水密切相关。 (2)通过微结构突变失稳理论发现当应力状态满足孔隙微结构失稳判别式时,微结构元的变形状态将产生一个跳跃,即会诱发微结构失稳崩塌。(3)地下水的抽取造成原饱和带土体颗粒之间有效接触力的增加,同时造成地下隐裂隙和空洞的形成。同时灌溉入渗引起的非饱和带土体含水量增加,不仅改变了颗粒的受力情况,更重要的是导致了颗粒间连接刚度的降低,导致微结构的失稳。     

2005年7月清江流域一次连续暴雨的中尺度分析

利用气象卫星、多普勒雷达及常规气象资料,对2005年7月8～10日清江流域连续暴雨过程进行综合分析。结果表明:(1)高低空急流的优势配置、高空急流右侧强辐散场的存在,副热带高压稳定于我国东南沿海,为此次暴雨提供了有利的大尺度环境背景;(2)雨团滞留和经过区域正是暴雨发生区域;(3)低层垂直风切变可使回波加强而产生强降水;(4)雷达回波中“逆风区”对于暴雨识别及暴雨落区预报具有很好的指示性。     

Simulation of airflow around rain gauges: Comparison of LES with RANS models

Wind is responsible for systematic errors that affect rain gauge measurements. The authors investigate the use of computational fluid dynamics (CFD) to calculate airflow around rain gauges by applying a high-resolution large eddy simulation (LES) model to determine the flow fields around a measuring system of two rain gauges. The simulated air flow field is characterized by the presence of massive separation which induces the formation and shedding of highly unsteady eddies in the detached shear layers and wakes. Parts of these detached structures occur over the orifice of the rain gauges and may substantially affect the dynamics of the raindrops in this critical region. Non-dissipative LES methods used with fine enough meshes can successfully predict these eddies and their associated fluctuations. The authors compare statistics from LES with steady-state Reynolds averaged Navier–Stokes (RANS) simulations using the k–ε and shear stress transport k–ω turbulence models. They find that both RANS and LES models predict similar mean velocity distributions around the rain gauges. However, they determine the distribution of the resolved turbulent kinetic energy (TKE) to be strongly dependent on the RANS model used. Neither RANS model predictions of TKE are close to those of LES. The authors conclude that the failure of RANS to predict TKE is an important limitation, as TKE is needed to scale the local velocity fluctuations in stochastic models used to calculate the motion of raindrops in the flow field.     

乌鲁木齐市酸雨特征及变化趋势

通过对乌鲁木齐市1991—2007年降水pH值、K值(电导率)以及相关的天气气候资料的处理,分析了酸雨特征和变化趋势。结果表明:pH平均值有逐年降低的趋势;从2000年开始K平均值呈下降趋势;降水pH平均值和K平均值具有明显的季节变化;供暖对pH平均值和K平均值造成很大的影响,是形成酸雨的重要因素之一。     

“2004．6”湘西北低空急流暴雨的中尺度分析

利用常规观测、T213、雷达和MM5中尺度模式输出资料对2004年6月23—24日湘西北地区的暴雨和大暴雨进行了天气动力学和中尺度分析。结果表明：这场暴雨是在有利的天气背景条件下产生的，造成强降水的雨团在时空尺度上具有中尺度系统的特征，中尺度辐合线和低空急流为降水发生提供了有利的触发条件。     

Sounding-derived indices for neural network based short-term thunderstorm and rainfall forecasts

A neural network-based scheme to do a multivariate analysis for forecasting the occurrence and intensity of a meteo event is presented. Many sounding-derived indices are combined together to build a short-term forecast of thunderstorm and rainfall events, in the plain of the Friuli Venezia Giulia region (hereafter FVG, NE Italy).For thunderstorm forecasting, sounding, lightning strikes and mesonet station data (rain and wind) from April to November of the years 1995–2002 have been used to train and validate the artificial neural network (hereafter ANN), while the 2003 and 2004 data have been used as an independent test sample. Two kind of ANNs have been developed: the first is a “classification model” ANN and is built for forecasting the thunderstorm occurrence. If this first ANN predicts convective activity, then a second ANN, built as a “regression model”, is used for forecasting the thunderstorm intensity, as defined in a previous article.The classification performances are evaluated with the ROC diagram and some indices derived from the Table of Contingency (like KSS, FAR, Odds Ratio). The regression performances are evaluated using the Mean Square Error and the linear cross correlation coefficient R.A similar approach is applied to the problem of 6 h rainfall forecast in the Friuli Venezia Giulia plain, but in this second case the data cover the period from 1992 to 2004. Also the forecasts of binary events (defined as the occurrence of 5, 20 or 40 mm of maximum rain), made by classification and regression ANN, were compared. Particular emphasis is given to the sounding-derived indices which are chosen in the first places by the predictor forward selection algorithm.