利用TMI资料估计西北太平洋热带气旋强度的客观方法

利用2007—2009年热带降雨测量卫星(TRMM)微波成像仪(TMI)观测的亮温资料,建立一种西北太平洋热带气旋强度(Tropical Cyclone,TC)的估计模型,对2010年热带气旋进行独立估计试验,并对估计误差进行分析。结果表明:该模型对强度小于强台风TC的拟合效果较好,均方根误差约为5 m/s,平均绝对误差约为4 m/s;对强台风和超强台风TC的拟合误差较大,均方根误差分别为9.65和6.60 m/s,平均绝对误差分别为7.76和5.49 m/s;对强台风及以上强度的TC,模型的拟合误差在日(夜)间减小(增大),误差最小(大)值为6.00 m/s(11.96 m/s),说明估计值在日(夜)间偏大(小)。     

2008年冬季北京上空上对流层/下平流层臭氧的异常特征

利用国产GPSO3臭氧探空系统观测的大气臭氧探空资料和NCEP再分析资料,结合对天气形势、大气环流背景、高空位涡变化及对流层顶高度扰动的分析,深入研究了2008年冬季北京地区10~14 km高度范围内持续出现的臭氧次峰值及大气臭氧含量异常现象。结果表明:在2008年我国南方雪灾这一特殊时期,引起臭氧垂直分布持续出现次峰值现象及臭氧含量异常的主要原因是平流层空气强烈下沉运动及其与对流层的交换作用,而引起这种下沉运动及平流层-对流层交换则是由于该阶段特殊的天气背景,乌拉尔阻塞高压长时间维持,贝加尔湖到巴尔喀什湖一带横槽稳定存在,里海以东切断低压长期维持,造成冷空气长时间、稳定地南下影响北京上空臭氧的垂直分布。加之副热带急流的出现,北京正处于其入口区左侧,其上空有强烈的辐合下沉运动,有利于平流层空气向下输送。此次臭氧次峰值及臭氧含量异常的现象很好地说明,在冷空气天气过程的影响下,北京地区上空的平流层空气运动及其与对流层的交换十分活跃。     

A multi-proxy reconstruction of spatial and temporal variations in Asian summer temperatures over the last millennium

To investigate climate variability in Asia during the last millennium, the spatial and temporal evolution of summer (June–July–August; JJA) temperature in eastern and south-central Asia is reconstructed using multi-proxy records and the regularized expectation maximization (RegEM) algorithm with truncated total least squares (TTLS), under a point-by-point regression (PPR) framework. The temperature index reconstructions show that the late 20th century was the warmest period in Asia over the past millennium. The temperature field reconstructions illustrate that temperatures in central, eastern, and southern China during the 11th and 13th centuries, and in western Asia during the 12th century, were significantly higher than those in other regions, and comparable to levels in the 20th century. Except for the most recent warming, all identified warm events showed distinct regional expressions and none were uniform over the entire reconstruction area. The main finding of the study is that spatial temperature patterns have, on centennial time-scales, varied greatly over the last millennium. Moreover, seven climate model simulations, from the Coupled Model Intercomparison Project Phase 5 (CMIP5), over the same region of Asia, are all consistent with the temperature index reconstruction at the 99 % confidence level. Only spatial temperature patterns extracted as the first empirical orthogonal function (EOF) from the GISS-E2-R and MPI-ESM-P model simulations are significant and consistent with the temperature field reconstruction over the past millennium in Asia at the 90 % confidence level. This indicates that both the reconstruction and the simulations depict the temporal climate variability well over the past millennium. However, the spatial simulation or reconstruction capability of climate variability over the past millennium could be still limited. For reconstruction, some grid points do not pass validation tests and reveal the need for more proxies with high temporal resolution, accurate dating, and sensitive temperature signals, especially in central Asia and before AD 1400.     

Deep convective clouds over the northern Pacific and their relationship with oceanic cyclones

Based on combined Cloud Sat/CALIPSO detections, the seasonal occurrence of deep convective clouds(DCCs) over the midlatitude North Pacific(NP) and cyclonic activity in winter were compared. In winter, DCCs are more frequent over the central NP, from approximately 30°N to 45°N, than over other regions. The high frequencies are roughly equal to those occurring in this region in summer. Most of these DCCs have cloud tops above a 12 km altitude, and the highest top is approximately 15 km. These wintertime marine DCCs commonly occur during surface circulation conditions of low pressure, high temperature, strong meridional wind, and high relative humidity. Further, the maximum probability of DCCs,according to the high correlation coefficient, was found in the region 10°–20° east and 5°–10° south of the center of the cyclones. The potential relationship between DCCs and cyclones regarding their relative locations and circulation conditions was also identified by a case study. Deep clouds were generated in the warm conveyor belt by strong updrafts from baroclinic flows. The updrafts intensified when latent heat was released during the adjustment of the cyclone circulation current. This indicates that the dynamics of cyclones are the primary energy source for DCCs over the NP in winter.     

基于双多普勒雷达及闪电资料分析一次强降水过程

为进一步了解多普勒雷达及闪电资料在中小尺度天气系统方面的应用以及降水系统动力结构的研究,利用合肥和阜阳两部S波段多普勒雷达资料,通过两步变分反演法反演双雷达,并采用模糊逻辑算法进行云类型识别,再结合垂直累计液态水含量VIL、降水和闪电分布特征,分析了2010年6月7-10日发生在安徽合肥和阜阳的一次持续性强降水过程。结果表明:此次持续性强降水过程与风场的低层辐合和高层辐散、风场的气旋性旋转以及水平风切变相关;此次降水过程是以层状云降水为主的积云混合云降水;另外,以降水为主的层状云,其闪电频数低且以负闪为主,闪电之后20 min左右出现强降水;此次暴雨的VIL值不是很大,强降水区对应的VIL值基本3 kg·m-2;云识别结果、降水区、VIL值与雷达回波强度之间的对应关系较好。     

南阳市1960—2013年高温日数变化特征及原因分析

根据国家气象信息中心气象资料室1960—2013年南阳市地面气象月报表的观测资料,采用线性回归、简单相关系数法、M-K突变检验和Morlet小波分析等方法,研究了南阳市高温日数的变化特征,结果表明:1960—2013年南阳市共出现788次高温日;出现高温日数最多的是2013年,为37天;1987年无高温日。南阳市高温日数6月份最多,占高温天气发生总次数的36.7%;9月最少,占总次数的2.2%。从1960—2013年高温日的逐年分布情况可以看出,54 a间高温日数整体呈下降趋势,倾向率为-1.59天/10a。南阳市年高温日数在20世纪70年代的降低是一突变,具体是从1971年开始。由南阳高温日数小波系数实部图可见,高温日数存在多重时间周期尺度上的嵌套复杂结构现象,包含了多个不同尺度的周期变化,南阳年高温日数变化存在3个明显的周期振荡,分别是10~12 a、26~28 a和50~51 a的尺度。从小波方差图中可以看出,12 a、28 a、50 a存在峰值,其中尺度50 a峰值最高,能量最大;其次是尺度12 a的。高温日数较多年比高温日数较少年6—8月500 h Pa平均环流场副高西伸脊点更偏西;高温日数较多年500 h Pa平均环流场更为平直,以纬向环流为主,不利于冷空气南下,因此多晴热天气。高温日数较少年环流场上华北地区波动幅度更大,冷空气和降水天气过程较多。1960—2013年5—9月降水量呈增加趋势,这也相应地减少了高温天气。1960—2013年5—9月南阳市日照时数一直处于下降趋势,日照时数的下降也使高温日数减少。     

主序星的Ⅴ波段经验质光关系

恒星质量是恒星物理以及恒星系统动力学研究中一个不可或缺的参量.双星轨道拟合是获取恒星(动力学)质量的最可靠途径,而绝大部分恒星的质量仍然需要通过恒星质光关系来估计,因此,通过拟合恒星动力学质量和光度数据得到经验质光关系的工作具有重要意义.尽管主序星的Ⅴ波段质光关系由于金属丰度的影响而具有一定的弥散性,但有研究表明这种影响主要限于恒星质量小于 0.6M_⊙的情况.对于较大质量的主序星,近年来的观测拟合研究积累了比较充分的动力学质量和Ⅴ波段光度数据,从而为显著改进上述质光关系提供了可能.利用一个能合理分配两个不同量纲观测量权重的拟合方法,根据 203 颗恒星的动力学质量和光度数据给出了主序星的Ⅴ波段经验质光关系,该结果对此前结果的改进不仅具有统计显著性,而且其对恒星质量估计的相对误差已达到约 5%.因此,该结果不仅可以用于开展有关恒星物理或恒星系统动力学方面的统计性研究,而且对具体实际多星系统的长期动力学研究和短期定位研究等也有应用价值.     

The heating of the solar transition region

The temperature curve in the solar chromosphere has puzzled astronomers for a long time.Referring to the structure of supergranular cells,we propose an in ductive heating model.It mainly includes the following three steps.(1) A small-scale dynamo exists in the supergranulation and produces alternating small-scale magnetic fluxes;(2) The supergranular flow distributes these small-scale fluxes according to a regular pattern;(3) A skin effect occurs in the alternating and regularly-distributed magnetic fields.The induced current is concentrated near the transition region and heats it by resistive dissipation.