SD-WACCM模式对平流层化学组分的模拟研究

利用美国大气研究中心开发的全球气候模式,对2008年平流层的化学组分(HNO₃、HCl和O₃)进行了模拟研究,并结合了MLS卫星资料进行了对比分析。结果表明,模式可以较好地再现平流层的各化学组分的时空分布状况。并选取了8个区域,将模拟的2008—2009年O₃柱浓度与臭氧监测仪资料对比,结果表明,模式可以较好地再现全球O₃总量的季节变化情况。     

The Effects of Land Cover Change on Regional Climate over the Eastern Part of Northwest China

A regional climate model(Reg CM4) is employed to investigate the impacts of land use/cover change(LUCC) on the climate over the eastern part of Northwest China(ENW) in the periods of 2001 and 2011. The results indicated that the LUCC in ENW, which was characterized by desert retreat, reforestation, and farmland expansion, led to significant local changes in surface air temperature(within ~0.3°C) and slight regional changes in precipitation(within ~15%) in summer. In the desert retreat area, the net absorbed shortwave radiation had a greater influence than evaporative cooling, leading to increases in the daily mean and maximum temperature. Besides, the daily mean and maximum temperatures increased in the reforestation area but decreased in the farmland expansion area. As surface albedo showed no significant change in these regions, the temperature increase in the reforestation area can be attributed to a decrease in evaporation, while the opposite effect appears to have been the case in the farmland expansion area.     

夏季云顶高于对流层顶事件对东亚天气型及上对流层-下平流层大气结构的影响

采用A-Train系列卫星的AURA/MLS水汽、温度资料,CALIPSO/CALIOP云物理资料,结合ECMWF气象再分析资料,分析了东亚地区云顶高于对流层顶事件(Cloud Top Above the Tropopause,CTAT)的区域分布,及其对上对流层-下平流层(Upper Troposphere and Lower Stratosphere,UTLS)水汽和温度结构的影响。结果表明:亚洲季风区的夏季CTAT发生率是30%~55%,为全球最强区域;东北亚的夏季CTAT发生率是15%~20%,为中纬度最强分布区。以CTAT为指标的合成结果表明:15~30°N的东亚-西太平洋UTLS,水汽呈"上干下湿"的异常分布,温度呈"上冷下暖"的异常分布,该结构与该区域热带气旋合成的结果一致,说明热带气旋是该区域CTAT形成的主要天气系统;35~50°N的东北亚UTLS,水汽呈"上干下湿"的异常分布,温度呈"上暖下冷"的异常分布,该结构与该区域温带气旋合成的结果一致,说明温带气旋是该区域CTAT形成的主要天气系统。     

建筑物高度对上行闪电触发以及传播影响的数值模拟

为了探讨建筑物高度对单个上行闪电触发以及传播的影响,设定了一个固定的背景电场,并结合自行触发的上行闪电随机放电参数化方案,进行了二维高分辨率上行闪电放电的模拟试验。结果表明:(1)上行闪电在初始阶段分支比较少;发展到离地面2 km左右后,闪电开始出现大量的分支,闪电通道开始出现明显的分叉:一部分通道继续向高电荷密度中心垂直传播,另一部分通道绕过高电荷密度中心,向外水平传播;模拟的上行闪电只能垂直传播到4 km处的负电荷中心,不能穿过0电势线向上方的正电荷区传播。(2)建筑物高度对上行闪电的触发起了关键作用,建筑物越高,越容易触发上行闪电。(3)建筑物高度对上行闪电传播具有一定的反作用,随着建筑物高度增高,模拟出的上行闪电的水平和垂直传播距离都有所减小,通道的分形维数变小,通道传播的总长度也逐渐减小。     

江淮之间夏季雨滴谱特征分析

分析了2011—2013年夏季(6—8月)滁州地基雨滴谱观测资料,根据雨强及其随时间的变化将降水分成对流降水和层云降水,分析不同降水类型的雨滴谱特征。结果表明:滁州地区对流降水的质量加权直径D_m和标准化参数lgN_w的平均值分别为1.67 mm和3.91 mm^-1·m^-3,层云降水D_m和lgN_w的平均值分别为1.18 mm和3.57 mm^-1·m^-3,对流降水雨滴平均尺度更大。N_w相比Γ分布参数N₀能更好地反映总数浓度N_t的大小。Γ分布3参数均随雨强的增大而减小,当雨强增长到一定程度时,μ(谱型)和Λ(斜率)趋于常数。研究了μ-Λ关系和Z(反射率因子)-R(雨强)关系。对流降水和层云降水的Z-R关系分别为Z=408R^1.20和Z=301R^1.21。新的Z-R关系和经典Z-R关系(Z=300R^1.40)反演的雨强相比实际观测值均偏小,但新的Z-R关系反演的雨强与实际观测值更接近。     

山东半岛冷流强降雪和非冷流强降雪的对比分析

利用1981—2000年常规气象观测和NCEP/NCAR再分析资料,采用合成分析和动力诊断分析方法,对冷流强降雪与非冷流强降雪的空间分布、大气环流、水汽输送、稳定度和垂直运动进行对比分析。结果表明：冷流强降雪是发生在槽后西北气流里的中小尺度不稳定降雪,非冷流强降雪是发生在槽前西南气流中大尺度稳定性降雪。冷流强降雪具有明显的地方性特点,是强冷空气对下垫面物理状态强迫响应的结果。提出强冷空气与渤海暖水面相互作用产生的大气边界层不稳定是产生冷流降雪的本质,在这种边界层不稳定层结中发生的降雪是冷流降雪的概念。     

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.