杭州湾北岸一次极端高温过程分析

利用实时探空场和欧洲中心20:00细网格、NCEP再分析资料对2013年8月6—10日杭州湾北岸极端高温过程进行分析,结果表明:副高脊线稳定在30°N、高层有辐散气流、低层26℃暖气团处于强副高中心影响是持续40℃极端高温发生的大尺度环流背景。副高与南亚高压"相向而行",在垂直方向上产生深厚的次级环流圈,是2013年极端高温持续时间长、影响范围大的一个重要因素。极端高温的出现与空气异常干燥有密切关系,北方高层干空气南下叠加在中低层副高暖干气团之上,从高层到近地层受一致下沉气流的绝热压缩增温,以及低空暖平流输送的综合影响,是导致7—9日杭州湾北岸多地最高气温屡破记录的原因。经检验,极端高温期间,业务参考使用的4个主要数值模式对最高气温的预报,EC模式误差较小且稳定,绝对误差为1℃,而GFS、JMA和T639误差分别达3℃、4℃和5℃,应用时需订正,以上结果可供夏季高温预报参考。     

特殊建筑物雷击截收面积计算

从计算雷击截收面积的逻辑关系出发,以斜坡类建筑和圆顶形建筑两类特殊建筑为例,通过建立相关模型和数学公式,分析计算应从何位置按照何扩大宽度往外偏移能准确地求出截收面积。对于单檐斜坡类建筑、重檐建筑或古塔,根据房檐到屋脊（塔尖）的水平距离和垂直距离的关系,判断出应该按房檐还是屋脊（塔尖）偏移。对于圆顶形或椭圆顶形建筑,利用建筑屋顶的数学公式,建立了到圆心中轴线距离的数学公式,并对其求导数,得到了导数为0时点的横、纵坐标,此点即为偏移点位置,同时得到了对应的扩大宽度。利用AutoCAD偏移及求面积命令得到截收面积,为防雷设计及雷电灾害风险评估中雷击截收面积的准确计算提供参考。     

Mesoscale dynamics and its application in torrential rainfall systems in China

Progress over the past decade in understanding moisture-driven dynamics and torrential rain storms in China is reviewed in this paper. First, advances in incorporating moisture effects more realistically into theory are described, including the development of a new parameter, generalized moist potential vorticity(GMPV) and an improved moist ageostrophic Q vector(Qum). Advances in vorticity dynamics are also described, including the adoption of a "parcel dynamic" approach to investigate the development of the vertical vorticity of an air parcel; a novel theory of slantwise vorticity development, proposed because vorticity develops easily near steep isentropic surfaces; and the development of the convective vorticity vector(CVV)as an effective new tool. The significant progress in both frontal dynamics and wave dynamics is also summarized, including the geostrophic adjustment of initial unbalanced flow and the dual role of boundary layer friction in frontogenesis, as well as the interaction between topography and fronts, which indicate that topographic perturbations alter both frontogenesis and frontal structure. For atmospheric vortices, mixed wave/vortex dynamics has been extended to explain the propagation of spiral rainbands and the development of dynamical instability in tropical cyclones. Finally, we review wave and basic flow interaction in torrential rainfall, for which it was necessary to extend existing theory from large-scale flows to mesoscale fields, enriching our knowledge of mesoscale atmospheric dynamics.     

A diagnostic study of the asymmetric distribution of rainfall during the landfall of typhoon Haitang (2005)

The precipitation during landfall of typhoon Haitang (2005) showed asymmetric structures (left side/right side of the track). Analysis of Weather Research and Forecasting model simulation data showed that rainfall on the right side was more than 15 times stronger than on the left side. The causes were analyzed by focusing on comparing the water vapor flux, stability and upward motion between the two sides. The major results were as follows: (2) Relative humidity on both sides was over 80%, whereas the convergence of water vapor flux in the lower troposphere was about 10 times larger on the right side than on the left side. (5) Both sides featured conditional symmetric instability [MPV (moist potential vorticity) <0], but the right side was more unstable than the left side. (6) Strong (weak) upward motion occurred throughout the troposphere on the right (left) side. The Q vector diagnosis suggested that large-scale and mesoscale forcing accounted for the difference in vertical velocity. Orographic lift and surface friction forced the development of the asymmetric precipitation pattern. On the right side, strong upward motion from the forcing of different scale weather systems and topography caused a substantial release of unstable energy and the transportation of water vapor from the lower to the upper troposphere, which produced torrential rainfall. However, the above conditions on the left side were all much weaker, which led to weaker rainfall. This may have been the cause of the asymmetric distribution of rainfall during the landfall of typhoon Haitang.     

低温雨雪过程的粒子群-神经网络预报模型

利用逐日气温和降水量数据、NCEP/NCAR再分析资料以及预报场资料,通过分析提取我国南方区域持续性低温雨雪过程及其预报因子,使用粒子群-神经网络方法建立非线性的统计集合预报模型 (PSONN-EPM),对我国南方区域持续性低温雨雪过程进行预报试验。结果表明:以过程的冷湿程度及影响范围为标准,将低温雨雪过程分为一般过程和严重过程,并建立不同的预报模型效果较好。通过10 d独立样本预报试验看,基于粒子群-神经网络方法建立的集合预报模型比基于逐步回归方法建立的预报模型的预报平均相对误差小,对严重过程预报能力高于对一般过程预报,且这种非线性统计集合建模方法在建模过程中不需要调整神经网络参数,在实际预报业务中值得尝试。     

Optimal two-impulse rendezvous using constrained multiple-revolution Lambert solutions

A solution to the fixed-time minimum-fuel two-impulse rendezvous problem for the general non-coplanar elliptical orbits is provided. The optimal transfer orbit is obtained using the constrained multiple-revolution Lambert solution. Constraints consist of lower bound for perigee altitude and upper bound for apogee altitude. The optimal time-free two-impulse transfer problem between two fixed endpoints implies finding the roots of an eighth order polynomial, which is done using a numerical iterative technique. The set of feasible solutions is determined by using the constraints conditions to solve for the short-path and long-path orbits semimajor axis ranges. Then, by comparing the optimal time-free solution with the feasible solutions, the optimal semimajor axis for the two fixed-endpoints transfer is identified. Based on the proposed solution procedure for the optimal two fixed-endpoints transfer, a contour of the minimum cost for different initial and final coasting parameters is obtained. Finally, a numerical optimization algorithm (e.g., evolutionary algorithm) can be used to solve this global minimization problem. A numerical example is provided to show how to apply the proposed technique.